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wav2vec Unsupervised
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FiLM Module
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FASFA: A Novel Next-Generation Backpropagation Optimizer
Stochastic-Optimization
Variational Entanglement Detection
Quantum-Methods
CodeT5
Transformers
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Concurrent Spatial and Channel Squeeze & Excitation (scSE)
Attention-Mechanisms
Clipped Double Q-learning
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Social-STGCNN
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MobileNetV2
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UNet++
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TraDeS
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DeepDrug
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Spatial Gating Unit
Feedforward-Networks
DiffPool
Graph-Models
Zoneout
Regularization
MLP-Mixer
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Gradient Harmonizing Mechanism C
Loss-Functions
Bidirectional GRU
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SpineNet
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CSPPeleeNet
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LayoutLMv2
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AMSGrad
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Global and Sliding Window Attention
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Forward gradient
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Stochastic Depth
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Two Time-scale Update Rule
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Channel & Spatial attention
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Auditory Cortex ResNet
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pixel2style2pixel
Unpaired-Image-to-Image-Translation
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OSA (identity mapping + eSE)
Image-Model-Blocks
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Conditional Batch Normalization
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PyTorch DDP
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Network On Network
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Revision Network
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ConViT
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Spectrally Normalised GAN
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Generative-Models
SimCSE
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Unified VLP
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Orientation Regularized Network
Pose-Estimation-Blocks
Height-driven Attention Network
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Automatic Structured Variational Inference
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RevNet
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Scattering Transform
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Gumbel Cross Entropy
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Fast-YOLOv4-SmallObj
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DiCE Unit
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Hierarchical Transferability Calibration Network
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ShuffleNet v2
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Inverse Q-Learning
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FMix
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Absolute Learning Progress and Gaussian Mixture Models for Automatic Curriculum Learning
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OSCAR
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Longformer
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squeeze-and-excitation networks
Attention-Mechanisms
Swin Transformer
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Geometric Manifold Component Estimator
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Region Proposal Network
Region-Proposal
OASIS
Conditional-Image-to-Image-Translation-Models
Subformer
Transformers
Dilated convolution with learnable spacings
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DiffAugment
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Twin Delayed Deep Deterministic
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TaBERT
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Good Feature Matching
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Lightweight Convolution
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Hunger Games Search
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Additive Attention
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Conditional Instance Normalization
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Gradient Sign Dropout
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DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement
Generative-Adversarial-Networks
Smooth Step
Activation-Functions
AdaMod
Stochastic-Optimization
Dimension-wise Fusion
Image-Model-Blocks
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Independent Component Analysis
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Gated Recurrent Unit
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ASLFeat
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Fast Attention Via Positive Orthogonal Random Features
Attention-Mechanisms
Generic RoI Extractor
RoI-Feature-Extractors
CayleyNet
Graph-Models
FT-Transformer
Deep-Tabular-Learning
Extremely Efficient Spatial Pyramid of Depth-wise Dilated Separable Convolutions
Skip-Connection-Blocks
Image-Model-Blocks
BigBird
Attention-Patterns
Transformers
Global Convolutional Network
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Single-Shot Multi-Object Tracker
Multi-Object-Tracking-Models
Hardtanh Activation
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AutoEncoder
Generative-Models
VoVNet
Convolutional-Neural-Networks
Random Erasing
Image-Data-Augmentation
Sarsa
On-Policy-TD-Control
k-Nearest Neighbors
Non-Parametric-Regression
Non-Parametric-Classification
PnP
Image-Model-Blocks
Contextual Word Vectors
Contextualized-Word-Embeddings
Word-Embeddings
Variational Trace Distance Estimation
Quantum-Methods
SRGAN Residual Block
Image-Model-Blocks
Skip-Connection-Blocks
Neural Tangent Transfer
Sparsity
Slanted Triangular Learning Rates
Learning-Rate-Schedules
Harmonic Block
Image-Model-Blocks
Bi3D
Stereo-Depth-Estimation-Models
Pseudoinverse Graph Convolutional Network
Graph-Models
Semi-Supervised-Learning-Methods
mT5
Autoencoding-Transformers
Language-Models
Laplacian Pyramid Network
Style-Transfer-Models
Generative-Models
PCA Whitening
Whitening
Global Sub-Sampled Attention
Attention-Mechanisms
Procrustes
Generalized-Linear-Models
PointQuad-Transformer
Point-Cloud-Models
Deformable Kernel
Convolutions
Efficient Recurrent Unit
Recurrent-Neural-Networks
Non-linear Independent Component Estimation
Likelihood-Based-Generative-Models
Generative-Models
Cycle-CenterNet
Table-Parsing-Models
Hourglass Module
Image-Model-Blocks
FastSGT
Dialogue-State-Trackers
Activation Regularization
Regularization
Pointer Sentinel-LSTM
Recurrent-Neural-Networks
Channel Squeeze and Spatial Excitation (sSE)
Attention-Mechanisms
Boundary-Aware Segmentation Network
Semantic-Segmentation-Models
MaxUp
Adversarial-Image-Data-Augmentation
DIoU-NMS
Proposal-Filtering
ClipBERT
Transformers
Generative-Video-Models
BiFPN
Feature-Pyramid-Blocks
Feature-Extractors
ThunderNet
Object-Detection-Models
Residual Connection
Skip-Connections
AutoTinyBERT
Autoencoding-Transformers
Transformers
Deformable DETR
Vision-Transformers
Object-Detection-Models
Panoptic FPN
Feature-Extractors
BinaryBERT
Autoencoding-Transformers
Transformers
XGPT
Vision-and-Language-Pre-Trained-Models
Cutout
Image-Data-Augmentation
MACEst
Confidence-Estimators
Affine Operator
Feedforward-Networks
ViP-DeepLab
Monocular-Depth-Estimation-Models
Video-Panoptic-Segmentation-Models
ZCA Whitening
Whitening
RandAugment
Image-Data-Augmentation
Mask Scoring R-CNN
Instance-Segmentation-Models
SqueezeNeXt
Convolutional-Neural-Networks
Self-Normalizing Neural Networks
Deep-Tabular-Learning
Schrödinger Network
Graph-Models
CARLA: An Open Urban Driving Simulator
Video-Game-Models
RegionViT
Vision-Transformers
Skim and Intensive Reading Model
Textual-Meaning
CornerNet-Squeeze Hourglass
Convolutional-Neural-Networks
ACER
Policy-Gradient-Methods
GBlock
Skip-Connection-Blocks
Audio-Model-Blocks
Decorrelated Batch Normalization
Normalization
Gated Convolution Network
Language-Models
Grab
Cashier-Free-Shopping
Voxel R-CNN
Point-Cloud-Models
3D-Object-Detection-Models
Simple Neural Attention Meta-Learner
Recurrent-Neural-Networks
Compressed Memory
Miscellaneous-Components
Collapsing Linear Unit
Activation-Functions
NVAE Encoder Residual Cell
Skip-Connection-Blocks
Image-Model-Blocks
H3DNet
Object-Detection-Models
Noisy Linear Layer
Randomized-Value-Functions
Conditional Convolutions for Instance Segmentation
Instance-Segmentation-Models
Greedy Policy Search
Image-Data-Augmentation
GPT-3
Autoregressive-Transformers
Language-Models
Transformers
Affine Coupling
Bijective-Transformation
Style-based Recalibration Module
Image-Model-Blocks
Cosine Normalization
Normalization
Randomized Leaky Rectified Linear Units
Activation-Functions
TABBIE
Deep-Tabular-Learning
AdaRNN
Recurrent-Neural-Networks
Re-Attention Module
Attention-Modules
LeViT Attention Block
Attention-Modules
Semi-Supervised Knowledge Distillation
Knowledge-Distillation
Log-time and Log-space Extreme Classification
Structured-Prediction
Shake-Shake Regularization
Regularization
TorchBeast
Distributed-Reinforcement-Learning
Distributed-Methods
ShuffleNet Block
Skip-Connection-Blocks
Image-Model-Blocks
Shuffle Transformer
Vision-Transformers
Adaptive Softmax
Output-Functions
DROID-SLAM
SLAM-Methods
LAMB
Large-Batch-Optimization
ClusterFit
Self-Supervised-Learning
SwiGLU
Activation-Functions
Ape-X DPG
Policy-Gradient-Methods
SentencePiece
Tokenizers
Generalized State-Dependent Exploration
Exploration-Strategies
Vision-and-Language BERT
Vision-and-Language-Pre-Trained-Models
Transformers
Representation-Learning
PipeDream-2BW
Asynchronous-Pipeline-Parallel
Model-Parallel-Methods
Distributed-Methods
CT3D
3D-Object-Detection-Models
Residual Multi-Layer Perceptrons
Image-Models
Sparsemax
Output-Functions
Layer Normalization
Normalization
SqueezeNeXt Block
Image-Model-Blocks
Skip-Connection-Blocks
An Easier Data Augmentation
Text-Data-Augmentation
Dense Contrastive Learning
Self-Supervised-Learning
PipeTransformer
2D-Parallel-Distributed-Methods
Hybrid-Parallel-Methods
Distributed-Methods
Sparse Transformer
Autoregressive-Transformers
Transformers
PermuteFormer
Transformers
TrIVD-GAN
Generative-Video-Models
Generative-Adversarial-Networks
Generative-Models
Channel-wise Cross Fusion Transformer
Semantic-Segmentation-Modules
ConvBERT
Autoencoding-Transformers
Transformers
Switch Transformer
Autoencoding-Transformers
Transformers
GPT-Neo
Transformers
Denoised Smoothing
Robustness-Methods
AmoebaNet
Convolutional-Neural-Networks
Inverse Square Root Schedule
Learning-Rate-Schedules
PoolFormer
Image-Models
Video Language Graph Matching Network
Video-Text-Retrieval-Models
Wasserstein GAN
Generative-Adversarial-Networks
TinaFace
Face-Recognition-Models
Dialogue-Adaptive Pre-training Objective
Dialog-Adaptation
Aggregated Learning
Information-Bottleneck
Switch FFN
Feedforward-Networks
Matrix Non-Maximum Suppression
Proposal-Filtering
Barlow Twins
Self-Supervised-Learning
Drafting Network
Style-Transfer-Modules
IFBlock
Video-Model-Blocks
QuantTree histograms
Distribution-Approximation
PointAugment
Point-Cloud-Augmentation
Blink Communication
Distributed-Communication
Distributed-Methods
Bort
Autoencoding-Transformers
Language-Models
Time-aware Large Kernel Convolution
Temporal-Convolutions
Graph Transformer
Graph-Models
Group Decreasing Network
Image-Generation-Models
Stable Rank Normalization
Normalization
Regularization
Relational Graph Convolution Network
Graph-Models
Progressively Growing GAN
Generative-Adversarial-Networks
Generative-Models
XGrad-CAM
Explainable-CNNs
LipGAN
Face-to-Face-Translation
Conditional-Image-to-Image-Translation-Models
Generative-Adversarial-Networks
Filter Response Normalization
Normalization
Data augmentation using Polya-Gamma latent variables.
Latent-Variable-Sampling
Conditional DBlock
Skip-Connection-Blocks
Audio-Model-Blocks
Self-Supervised Cross View Cross Subject Pose Contrastive Learning
Pose-Estimation-Models
Dynamic Memory Network
Working-Memory-Models
FBNet Block
Skip-Connection-Blocks
Image-Model-Blocks
Categorical Modularity
Word-Embeddings
Review-guided Answer Helpfulness Prediction
Textual-Inference-Models
Hierarchical BiLSTM Max Pooling
Sequence-To-Sequence-Models
LiteSeg
Semantic-Segmentation-Models
Bootstrap Your Own Latent
Self-Supervised-Learning
Adversarial Model Perturbation
Optimization
Span-Based Dynamic Convolution
Temporal-Convolutions
Convolutions
Temporal Distribution Characterization
Time-Series-Modules
Pix2Pix
Conditional-Image-to-Image-Translation-Models
Generative-Adversarial-Networks
Generative-Models
Movement Pruning
Pruning
NoisyNet-Dueling
Q-Learning-Networks
Short-Term Dense Concatenate
Semantic-Segmentation-Modules
ECA-Net
Convolutional-Neural-Networks
Depthwise Dilated Separable Convolution
Convolutions
Teacher-Tutor-Student Knowledge Distillation
Knowledge-Distillation
Logistic Regression
Generalized-Linear-Models
SRU
Recurrent-Neural-Networks
Shifted Rectified Linear Unit
Activation-Functions
ProxylessNet-GPU
Convolutional-Neural-Networks
Image-Models
Patch Merger Module
Image-Model-Blocks
Singular Value Clipping
Adversarial-Training
XLM
Autoencoding-Transformers
Transformers
Inpainting
Self-Supervised-Learning
CurricularFace
Face-Recognition-Models
TD Lambda
On-Policy-TD-Control
IMPALA
Distributed-Methods
Distributed-Reinforcement-Learning
Policy-Gradient-Methods
Implicit Subspace Prior Learning
Face-Restoration-Models
Hyperboloid Embeddings
Graph-Embeddings
Extended Transformer Construction
Transformers
Knowledge Distillation
Knowledge-Distillation
Attentional Liquid Warping Block
Image-Model-Blocks
Spatial & Temporal Attention
Attention-Mechanisms
PixelShuffle
Miscellaneous-Components
LayoutReader
Reading-Order-Detection-Models
Sequence-To-Sequence-Models
KNN and IOU based verification
Counting-Methods
Polynomial Rate Decay
Learning-Rate-Schedules
Memory Network
Working-Memory-Models
Mask R-CNN
Object-Detection-Models
Instance-Segmentation-Models
NetAdapt
Network-Shrinking
COCO-FUNIT
Few-Shot-Image-to-Image-Translation
Unpaired-Image-to-Image-Translation
Mechanism Transfer
Domain-Adaptation
FLAVA
Vision-and-Language-Pre-Trained-Models
MuZero
Board-Game-Models
GreedyNAS-C
Convolutional-Neural-Networks
Gaussian Process
Non-Parametric-Regression
Non-Parametric-Classification
ZeRO
Sharded-Data-Parallel-Methods
Data-Parallel-Methods
Distributed-Methods
Table Pre-training via Execution
Transformers
Cross-Covariance Attention
Attention-Mechanisms
TabTransformer
Deep-Tabular-Learning
Rectified Linear Unit N
Activation-Functions
Model-Agnostic Meta-Learning
Meta-Learning-Algorithms
VarifocalNet
Object-Detection-Models
VoVNetV2
Convolutional-Neural-Networks
Scale-wise Feature Aggregation Module
Feature-Extractors
Leaky ReLU
Activation-Functions
Recursive Feature Pyramid
Feature-Pyramid-Blocks
Blind Image Decomposition Network
Image-Decomposition-Models
PEGASUS
Transformers
Meta Face Recognition
Face-Recognition-Models
End-To-End Memory Network
Working-Memory-Models
DenseNet
Convolutional-Neural-Networks
Dynamic Convolution
Attention-Mechanisms
Random Horizontal Flip
Image-Data-Augmentation
Exponential Decay
Learning-Rate-Schedules
Self-supervised Equivariant Attention Mechanism
Attention-Mechanisms
GreedyNAS
Neural-Architecture-Search
HITNet
Stereo-Depth-Estimation-Models
Sliding Window Attention
Attention-Patterns
SNIPER
Multi-Scale-Training
Batch Nuclear-norm Maximization
Regularization
FairMOT
Multi-Object-Tracking-Models
Class Activation Guided Attention Mechanism (CAGAM)
Attention-Mechanisms
FSAF
Feature-Extractors
Linear Warmup With Cosine Annealing
Learning-Rate-Schedules
CornerNet-Squeeze
One-Stage-Object-Detection-Models
Object-Detection-Models
Mixed Attention Block
Attention-Modules
SERLU
Activation-Functions
Feature Fusion Module v1
Feature-Extractors
TuckER
Graph-Embeddings
CTRL
Transformers
One-Shot Aggregation
Image-Model-Blocks
Skip-Connection-Blocks
Gated Linear Network
Gated-Linear-Networks
Shape Adaptor
Pooling-Operations
AutoML
Disentangled Attribution Curves
Interpretability
Dilated Bottleneck with Projection Block
Image-Model-Blocks
Skip-Connection-Blocks
EfficientNet
Convolutional-Neural-Networks
Image-Models
Target Policy Smoothing
Regularization
Seq2Edits
Sequence-Editing-Models
Inception-v3 Module
Image-Model-Blocks
XLM-R
Language-Models
PonderNet
Adaptive-Computation
Activation Normalization
Normalization
Local Relation Layer
Image-Feature-Extractors
Strided Attention
Attention-Patterns
Compact Convolutional Transformers
Vision-Transformers
Dual Contrastive Learning
Text-Classification-Models
XLNet
Autoregressive-Transformers
Transformers
ENet
Semantic-Segmentation-Models
StyleMapGAN
Generative-Adversarial-Networks
VEGA
AutoML
DALL·E 2
Image-Generation-Models
Random Search
Hyperparameter-Search
Levenshtein Transformer
Autoregressive-Transformers
Transformers
Primal Wasserstein Imitation Learning
Imitation-Learning-Methods
Time-homogenuous Top-K Ranking
Time-Series-Analysis
Tree Ensemble to Rules
Interpretability
Context Optimization
Prompt-Engineering
Fast Bi-level Adversarial Training
Adversarial-Training
Contrastive Predictive Coding
Semi-Supervised-Learning-Methods
Self-Supervised-Learning
Non-Local Operation
Image-Feature-Extractors
SNet
Convolutional-Neural-Networks
Visual-Spatial-Graph Network
Human-Object-Interaction-Detectors
Linear Warmup With Linear Decay
Learning-Rate-Schedules
Instance Normalization
Normalization
CodeSLAM
3D-Reconstruction
BlendMask
Instance-Segmentation-Models
uNetXST
Convolutional-Neural-Networks
Dilated Causal Convolution
Temporal-Convolutions
Beta-VAE
Likelihood-Based-Generative-Models
Generative-Models
Hard Swish
Activation-Functions
Convolutional Vision Transformer
Image-Models
Vision-Transformers
FastMoE
2D-Parallel-Distributed-Methods
Hybrid-Parallel-Methods
Distributed-Methods
NoisyNet-A3C
Policy-Gradient-Methods
Gradual Self-Training
Semi-Supervised-Learning-Methods
QHM
Stochastic-Optimization
G3D
Action-Recognition-Blocks
Gravity
Stochastic-Optimization
Deep Stereo Geometry Network
3D-Object-Detection-Models
FastSpeech 2s
Text-to-Speech-Models
Ensemble Clustering
Clustering
Color Jitter
Image-Data-Augmentation
SC-GPT
Transformers
Capsule Network
Convolutional-Neural-Networks
Exponential Linear Squashing Activation
Activation-Functions
Class activation guide
Region-Proposal
k-Sparse Autoencoder
Generative-Models
Inverted Bottleneck BERT
Autoencoding-Transformers
Transformers
Prediction-aware One-To-One
Detection-Assignment-Rules
Transformer Decoder
Transformers
RotatE
Graph-Embeddings
Temporally Consistent Spatial Augmentation
Video-Data-Augmentation
CSPResNeXt
Convolutional-Neural-Networks
Long Short-Term Memory
Recurrent-Neural-Networks
PIoU Loss
Loss-Functions
BoundaryNet
Layout-Annotation-Models
Average Pooling
Pooling-Operations
PyramidNet
Convolutional-Neural-Networks
StreaMRAK
Kernel-Methods
YOLOv3
One-Stage-Object-Detection-Models
Object-Detection-Models
Track objects as points
Multi-Object-Tracking-Models
Taylor Expansion Policy Optimization
Policy-Gradient-Methods
Attention Dropout
Regularization
Anycost GAN
Generative-Adversarial-Networks
Snapshot Ensembles: Train 1, get M for free
Active-Learning
SCNet
Instance-Segmentation-Models
Spatial Group-wise Enhance
Image-Model-Blocks
Sequence to Sequence
Machine-Translation-Models
Sequence-To-Sequence-Models
Talking-Heads Attention
Attention-Modules
XLSR
Speech-Recognition
Hybrid-deconvolution
Convolutional-Neural-Networks
GRLIA
Incident-Aggregation-Models
Pointwise Convolution
Convolutions
Corner Pooling
Pooling-Operations
Bayesian Reward Extrapolation
Bayesian-Reinforcement-Learning
DistanceNet
Domain-Adaptation
Probabilistic Anchor Assignment
Anchor-Generation-Modules
Residual Block
Image-Model-Blocks
Skip-Connection-Blocks
Models Genesis
3D-Representations
Legendre Memory Unit
Recurrent-Neural-Networks
Field Embedded Factorization Machine
Factorization-Machines
Batchboost
Image-Data-Augmentation
CharacterBERT
Language-Models
U-Net
Semantic-Segmentation-Models
Compact Global Descriptor
Attention-Modules
Image-Model-Blocks
Lambda Layer
Long-Range-Interaction-Layers
spatial transformer networks
Attention-Mechanisms
Noisy Student
Semi-Supervised-Learning-Methods
CDCC-NET
Convolutional-Neural-Networks
EvoNorms
Activation-Functions
Normalization
Auxiliary Classifier
Miscellaneous-Components
Progressive Neural Architecture Search
Neural-Architecture-Search
Colorization
Self-Supervised-Learning
ESPNetv2
Convolutional-Neural-Networks
RMSProp
Stochastic-Optimization
Experience Replay
Replay-Memory
BAGUA
Replicated-Data-Parallel
Data-Parallel-Methods
Distributed-Methods
Ghost Module
Image-Model-Blocks
ConvLSTM
Recurrent-Neural-Networks
Efficient Channel Attention
Skip-Connection-Blocks
Image-Model-Blocks
Fourier Contour Embedding
Text-Instance-Representations
Mixture of Softmaxes
Output-Functions
Detection Transformer
Vision-Transformers
Object-Detection-Models
Genetic Algorithms
Heuristic-Search-Algorithms
Mixing Adam and SGD
Stochastic-Optimization
XCiT Layer
Image-Model-Blocks
Random Resized Crop
Image-Data-Augmentation
Highway Layer
Miscellaneous-Components
Asynchronous Interaction Aggregation
Action-Recognition-Models
CenterNet
One-Stage-Object-Detection-Models
Object-Detection-Models
DeepIR
Thermal-Image-Processing-Models
GloVe Embeddings
Static-Word-Embeddings
Word-Embeddings
Spectral Dropout
Regularization
Soft Actor-Critic (Autotuned Temperature)
Policy-Gradient-Methods
K-Net
Instance-Segmentation-Models
Semantic-Segmentation-Models
Graph Echo State Network
Graph-Models
Visual Commonsense Region-based Convolutional Neural Network
Self-Supervised-Learning
AggMo
Stochastic-Optimization
StarReLU
Activation-Functions
DropAttack
Adversarial-Training
Thinned U-shape Module
Feature-Extractors
Adaptive Content Generating and Preserving Network
Augmented-Reality-Methods
Generative-Adversarial-Networks
nlogistic-sigmoid function
Feedforward-Networks
Activation-Functions
Channel Shuffle
Miscellaneous-Components
Spatial Pyramid Pooling
Pooling-Operations
RAdam
Stochastic-Optimization
Gated Graph Sequence Neural Networks
Graph-Models
Patch AutoAugment
Image-Data-Augmentation
U2-Net
Object-Detection-Models
Class-MLP
Pooling-Operations
Tacotron
Sequence-To-Sequence-Models
Text-to-Speech-Models
Unitary RNN
Recurrent-Neural-Networks
Generative Adversarial Transformer
Transformers
Discriminative Fine-Tuning
Fine-Tuning
Weight excitation
Attention
TResNet
Convolutional-Neural-Networks
RESCAL
Graph-Embeddings
RIFE
Video-Frame-Interpolation
HiFi-GAN
Generative-Adversarial-Networks
Generative-Audio-Models
TSRUp
Recurrent-Neural-Networks
Deep Graph Convolutional Neural Network
Graph-Models
Audiovisual SlowFast Network
Multi-Modal-Methods
Video-Recognition-Models
SuperpixelGridCut, SuperpixelGridMean, SuperpixelGridMix
Image-Data-Augmentation
Inception-v3
Convolutional-Neural-Networks
Global-Local Attention
Attention-Mechanisms
DenseNAS-A
Convolutional-Neural-Networks
ARM-Net
Deep-Tabular-Learning
Cascade R-CNN
Object-Detection-Models
Co-Correcting
Medical-Image-Models
NesT
Vision-Transformers
CornerNet-Saccade
One-Stage-Object-Detection-Models
Object-Detection-Models
Virtual Data Augmentation
Fine-Tuning
Cosine Annealing
Learning-Rate-Schedules
OFA
Vision-and-Language-Pre-Trained-Models
Dot-Product Attention
Attention-Mechanisms
ELMo
Language-Models
Contextualized-Word-Embeddings
Word-Embeddings
ResNeSt
Convolutional-Neural-Networks
Image-Models
Segmentation Transformer
Semantic-Segmentation-Models
Root-of-Mean-Squared Pooling
Pooling-Operations
Adaptive Early-Learning Correction
Semantic-Segmentation-Models
Differentiable Architecture Search
Neural-Architecture-Search
CenterMask
Instance-Segmentation-Models
Spatio-Temporal Attention LSTM
Attention-Mechanisms
Energy Based Process
Non-Parametric-Regression
Deep Extreme Cut
Image-Segmentation-Models
PP-YOLO
One-Stage-Object-Detection-Models
Object-Detection-Models
Modulated Residual Network
VQA-Models
Segmentation of patchy areas in biomedical images based on local edge density estimation
Image-Segmentation-Models
Image Scale Augmentation
Image-Data-Augmentation
3D Dynamic Scene Graph
3D-Representations
ResNet-D
Convolutional-Neural-Networks
Spatial Transformer
Image-Model-Blocks
MUSIQ
Image-Quality-Models
Vision-Transformers
Attentive Normalization
Normalization
SEED RL
Distributed-Reinforcement-Learning
Distributed-Methods
ENet Initial Block
Image-Model-Blocks
TILDEv2
Information-Retrieval-Methods
Passage-Re-Ranking-Models
Self-Adjusting Smooth L1 Loss
Loss-Functions
UNIMO
Vision-and-Language-Pre-Trained-Models
Multi-Modal-Methods
Wide&Deep
Deep-Tabular-Learning
PipeDream
Asynchronous-Pipeline-Parallel
Model-Parallel-Methods
Distributed-Methods
ShapeConv
Convolutions
Grammatical evolution and Q-learning
Optimization
LayerScale
Normalization
Regularization
Jukebox
Generative-Audio-Models
ExtremeNet
One-Stage-Object-Detection-Models
Object-Detection-Models
Sparse Sinkhorn Attention
Attention-Mechanisms
Transformer
Autoregressive-Transformers
Transformers
Path Planning and Motion Control
Control-and-Decision-Systems
Path-Planning
Motion-Control
Learning to Match
Domain-Adaptation
DFDNet
Face-Restoration-Models
PointASNL
Point-Cloud-Models
CoordConv
Convolutions
Lecun's Tanh
Activation-Functions
Base Boosting
Generalized-Additive-Models
SpecGAN
Generative-Audio-Models
Gradient Checkpointing
Stochastic-Optimization
Lookahead
Stochastic-Optimization
Neural network for graphs
Graph-Models
QHAdam
Stochastic-Optimization
TD-VAE
Generative-Sequence-Models
Tofu
Intra-Layer-Parallel
Model-Parallel-Methods
Distributed-Methods
Side-Aware Boundary Localization
Object-Detection-Models
Normalized Temperature-scaled Cross Entropy Loss
Loss-Functions
Graph Finite-State Automaton
Graph-Representation-Learning
Regularized Autoencoders
Generative-Models
Panoptic-PolarNet
Point-Cloud-Models
Location Sensitive Attention
Attention-Mechanisms
TransE
Graph-Embeddings
Sticker Response Selector
Conversational-Models
Ternary Weight Splitting
Ternarization
Bilateral Guided Aggregation Layer
Semantic-Segmentation-Modules
AdaShift
Stochastic-Optimization
Blender
Instance-Segmentation-Modules
Attention-Modules
Strain Elevation Tension Spring embedding
Graph-Embeddings
Mirror-BERT
Static-Word-Embeddings
Contextualized-Word-Embeddings
Word-Embeddings
Sentence-Embeddings
Self-Supervised-Learning
DExTra
Feedforward-Networks
Replica exchange stochastic gradient Langevin Dynamics
Markov-Chain-Monte-Carlo
Depthwise Separable Convolution
Convolutions
SCARLET-NAS
Neural-Architecture-Search
ResNeXt
Convolutional-Neural-Networks
Targeted Dropout
Regularization
TURL: Table Understanding through Representation Learning
Deep-Tabular-Learning
SOHO
Vision-and-Language-Pre-Trained-Models
Unigram Segmentation
Subword-Segmentation
One Representation
Vision-and-Language-Pre-Trained-Models
Dual Softmax Loss
Loss-Functions
Weighted Recurrent Quality Enhancement
Video-Model-Blocks
ERNIE
Transformers
LR-Net
Image-Models
LMOT: Efficient Light-Weight Detection and Tracking in Crowds
Multi-Object-Tracking-Models
Adafactor
Large-Batch-Optimization
Stochastic-Optimization
OODformer
Vision-Transformers
Stacked Hourglass Network
Pose-Estimation-Models
Magnification Prior Contrastive Similarity
Self-Supervised-Learning
Bidirectional LSTM
Deep-Tabular-Learning
Position-Sensitive RoI Pooling
RoI-Feature-Extractors
Recurrent Replay Distributed DQN
Offline-Reinforcement-Learning-Methods
Concrete Dropout
Regularization
Supervised Contrastive Loss
Loss-Functions
CANINE
Language-Models
Branch attention
Attention-Mechanisms
Darknet-19
Convolutional-Neural-Networks
Attention with Linear Biases
Position-Embeddings
Inference-Extrapolation
Circular Smooth Label
Arbitrary-Object-Detectors
NPID
Self-Supervised-Learning
Tanh Exponential Activation Function
Activation-Functions
Self-Training with Task Augmentation
Self-Training-Methods
Semi-Supervised-Learning-Methods
LeNet
Convolutional-Neural-Networks
ScheduledDropPath
Regularization
Contour Stochastic Gradient Langevin Dynamics
Markov-Chain-Monte-Carlo
Chimera
Distributed-Methods
Synchronous-Pipeline-Parallel
Model-Parallel-Methods
Low-Rank Factorization-based Multi-Head Attention
Attention-Modules
Gated Attention Networks
Graph-Models
mBERT
Language-Models
Shifted Softplus
Activation-Functions
Support Vector Machine
Non-Parametric-Regression
Non-Parametric-Classification
Step Decay
Learning-Rate-Schedules
Cyclical Learning Rate Policy
Learning-Rate-Schedules
Adaptive NMS
Proposal-Filtering
DELG
Image-Retrieval-Models
Convolutional-Neural-Networks
Padé Activation Units
Activation-Functions
Proximal Policy Optimization
Policy-Gradient-Methods
Grouped Convolution
Convolutions
Weight Decay
Parameter-Norm-Penalties
Regularization
Sarsa Lambda
On-Policy-TD-Control
GFP-GAN
Generative-Adversarial-Networks
Face-Restoration-Models
Blue River Controls
Reinforcement-Learning-Frameworks
Fawkes
Face-Privacy
AutoInt
Deep-Tabular-Learning
NeuroTactic
Theorem-Proving-Models
Graph-Models
Dense Connections
Feedforward-Networks
TimeSformer
Generative-Video-Models
Global Context Block
Skip-Connection-Blocks
Attention-Modules
Image-Model-Blocks
DetNASNet
Convolutional-Neural-Networks
Dual Graph Convolutional Networks
Graph-Models
Hamburger
Global-Context-Modules
Image-Feature-Extractors
ChebNet
Graph-Models
Conditional Positional Encoding
Position-Embeddings
Multi-partition Embedding Interaction
Graph-Representation-Learning
Graph-Embeddings
VL-T5
Vision-and-Language-Pre-Trained-Models
AutoAugment
Image-Data-Augmentation
Sparse R-CNN
Object-Detection-Models
ALDEN
Active-Learning
Text-Classification-Models
Gaussian Mixture Variational Autoencoder
Regularization
SimCLR
Self-Supervised-Learning
MoViNet
Video-Recognition-Models
Denoising Autoencoder
Generative-Models
BTmPG
Paraphrase-Generation-Models
Deep Voice 3
Sequence-To-Sequence-Models
Text-to-Speech-Models
Global Local Attention Module
Image-Model-Blocks
Domain-Symmetric Network
Domain-Adaptation
Multiplicative Attention
Attention-Mechanisms
Global second-order pooling convolutional networks
Attention-Mechanisms
Probability Guided Maxout
Regularization
RTMDet: An Empirical Study of Designing Real-Time Object Detectors
Object-Detection-Models
Stacked Denoising Autoencoder
Generative-Models
Simple Visual Language Model
Vision-and-Language-Pre-Trained-Models
Neural Radiance Field
3D-Representations
VOS
Video-Object-Segmentation-Models
Neural Architecture Search
Neural-Architecture-Search
ComplEx with N3 Regularizer and Relation Prediction Objective
Graph-Embeddings
Strip Pooling Network
Attention-Mechanisms
Entropy Regularization
Regularization
Residual Shuffle-Exchange Network
Music-Transcription
Strip Pooling
Pooling-Operations
Fraternal Dropout
Regularization
Bottleneck Transformer Block
Attention-Modules
Image-Model-Blocks
Single-path NAS
Convolutional-Neural-Networks
RetinaNet
One-Stage-Object-Detection-Models
Object-Detection-Models
Locally-Grouped Self-Attention
Attention-Mechanisms
RealFormer
Transformers
Graph Contrastive Coding
Self-Supervised-Learning
Graph-Models
Octave Convolution
Convolutions
Deep LSTM Reader
Reading-Comprehension-Models
Recurrent-Neural-Networks
Hierarchical Softmax
Output-Functions
Factor Graph Attention
Attention
Dense Block
Skip-Connection-Blocks
Image-Model-Blocks
DeepCluster
Self-Supervised-Learning
MDETR
Object-Detection-Models
Fastformer
Transformers
Structurally Regularized Deep Clustering
Domain-Adaptation
Large-scale spectral clustering
Clustering
Symbolic Deep Learning
Graph-Models
Interpretability
Dense Prediction Transformer
Image-Models
Vision-Transformers
Soft Actor Critic
Policy-Gradient-Methods
AdapTive Meta Optimizer
Stochastic-Optimization
Spatial-Reduction Attention
Attention-Modules
Attentive Walk-Aggregating Graph Neural Network
Graph-Representation-Learning
DenseNAS
Neural-Architecture-Search
Soft Pooling
Pooling-Operations
Position-Sensitive RoIAlign
RoI-Feature-Extractors
Distributed Any-Batch Mirror Descent
Replicated-Data-Parallel
Data-Parallel-Methods
Optimization
Distributed-Methods
Deep Graph Infomax
Graph-Models
Vision-aided GAN
Generative-Models
online deep learning
Deep-Tabular-Learning
Replacing Eligibility Trace
Eligibility-Traces
CSPResNeXt Block
Image-Model-Blocks
Skip-Connection-Blocks
Partition Filter Network
Entity-Recognition-Models
Relation-Extraction-Models
WaveGrad DBlock
Audio-Model-Blocks
Simulation as Augmentation
Trajectory-Data-Augmentation
Adversarial-Training
Baidu Dependency Parser
Dependency-Parsers
Multiscale Vision Transformer
Vision-Transformers
Online Hard Example Mining
Prioritized-Sampling
MLFPN
Feature-Pyramid-Blocks
Feature-Extractors
Strided EESP
Image-Model-Blocks
Skip-Connection-Blocks
RevSilo
Reversible-Image-Conversion-Models
Contrastive Multiview Coding
Self-Supervised-Learning
Population Based Training
Hyperparameter-Search
Optimization
Transformer-XL
Autoregressive-Transformers
Transformers
node2vec
Graph-Embeddings
Dynamic Keypoint Head
Output-Heads
Convolutional Block Attention Module
Attention-Modules
Image-Model-Blocks
RoIAlign
RoI-Feature-Extractors
DeepLab
Semantic-Segmentation-Models
LARS
Large-Batch-Optimization
You Only Hypothesize Once
Point-Cloud-Models
Early Stopping
Regularization
Factorized Random Synthesized Attention
Synthesized-Attention-Mechanisms
Attention-Mechanisms
PAUSE
Sentence-Embeddings
Collaborative Distillation
Knowledge-Distillation
ASGD Weight-Dropped LSTM
Recurrent-Neural-Networks
RandWire
Convolutional-Neural-Networks
LeVIT
Vision-Transformers
Local Contrast Normalization
Normalization
Squared ReLU
Activation-Functions
Make-A-Scene
Image-Generation-Models
Natural Gradient Descent
Optimization
MobileNetV3
Convolutional-Neural-Networks
Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA
Adversarial-Training
MinCut Pooling
Graph-Models
MnasNet
Convolutional-Neural-Networks
Learning Cross-Modality Encoder Representations from Transformers
Vision-and-Language-Pre-Trained-Models
YellowFin
Stochastic-Optimization
Multi-band MelGAN
Generative-Audio-Models
Guided Anchoring
Anchor-Generation-Modules
Context Aggregated Bi-lateral Network for Semantic Segmentation
Semantic-Segmentation-Models
Video Panoptic Segmentation Network
Video-Panoptic-Segmentation-Models
BezierAlign
RoI-Feature-Extractors
MuVER
Entity-Retrieval-Models
ENet Dilated Bottleneck
Image-Model-Blocks
Chained-Tracker
Multi-Object-Tracking-Models
Unsupervised Feature Loss
Loss-Functions
ReLIC
Self-Supervised-Learning
End-to-end Adaptive Distributed Training
2D-Parallel-Distributed-Methods
Voxel Transformer
3D-Object-Detection-Models
Spatially-Adaptive Normalization
Normalization
Nonuniform Quantization for Stochastic Gradient Descent
Data-Parallel-Methods
SESAME Discriminator
Discriminators
AdaGrad
Large-Batch-Optimization
Stochastic-Optimization
DetNet
Convolutional-Neural-Networks
Generalized Mean Pooling
Pooling-Operations
WaveGrad
Generative-Audio-Models
Neural adjoint method
Optimization
Lovasz-Softmax
Loss-Functions
Deep Residual Pansharpening Neural Network
Convolutional-Neural-Networks
Sinkhorn Transformer
Autoregressive-Transformers
Transformers
Bridge-net
Audio-Model-Blocks
Dilated Convolution
Convolutions
Generalized additive models
Medical-waveform-analysis
Non-Parametric-Regression
Ape-X
Distributed-Reinforcement-Learning
MATE
Deep-Tabular-Learning
Table-Question-Answering-Models
Transformers
Augmented SBERT
Text-Augmentation
building to building transfer learning
Knowledge-Distillation
Imitation-Learning-Methods
Gradient Harmonizing Mechanism R
Loss-Functions
Kernel Inducing Points
Meta-Learning-Algorithms
Recurrent Entity Network
Working-Memory-Models
Mixture model network
Graph-Models
Darknet-53
Convolutional-Neural-Networks
Absolute Position Encodings
Position-Embeddings
Assemble-ResNet
Convolutional-Neural-Networks
Continuous Bag-of-Words Word2Vec
Static-Word-Embeddings
Word-Embeddings
Protagonist Antagonist Induced Regret Environment Design
Environment-Design-Methods
Adversarial-Training
UNiversal Image-TExt Representation Learning
Word-Embeddings
DeLighT Block
Attention-Modules
Prescribed Generative Adversarial Network
Generative-Adversarial-Networks
Generative-Models
GCNet
Instance-Segmentation-Models
Object-Detection-Models
AutoGAN
Neural-Architecture-Search
Disentangled Attention Mechanism
Attention-Mechanisms
DouZero
Card-Game-Models
DBlock
Skip-Connection-Blocks
Audio-Model-Blocks
Attention Gate
Attention-Mechanisms
Feature Information Entropy Regularized Cross Entropy
Regularization
CodeBERT
Code-Generation-Transformers
Transformers
Contrastive Cross-View Mutual Information Maximization
Representation-Learning
Deep Layer Aggregation
Feature-Extractors
Sinusoidal Representation Network
Activation-Functions
Adversarial Color Enhancement
Adversarial-Image-Data-Augmentation
Adaptive Robust Loss
Loss-Functions
RealNVP
Likelihood-Based-Generative-Models
Generative-Models
FixRes
Image-Scaling-Strategies
Pathways Language Model
Transformers
AltCLIP
Vision-and-Language-Pre-Trained-Models
Discrete Cosine Transform
Fourier-related-Transforms
HyperNetwork
Feedforward-Networks
TabNN
Deep-Tabular-Learning
PULSE
Image-Super-Resolution-Models
MixNet
Convolutional-Neural-Networks
Aligning Latent and Image Spaces
Generative-Adversarial-Networks
ManifoldPlus
Graphics-Models
DNN2LR
Deep-Tabular-Learning
SpreadsheetCoder
Spreadsheet-Formula-Prediction-Models
Softplus
Activation-Functions
Effective Squeeze-and-Excitation Block
Image-Model-Blocks
Graph Neural Networks with Continual Learning
Graph-Models
Dynamic R-CNN
Object-Detection-Models
Gated Positional Self-Attention
Attention-Modules
VisualBERT
Vision-and-Language-Pre-Trained-Models
Laplacian Pyramid
Image-Representations
Spatial Attention-Guided Mask
Attention-Modules
Mask-Branches
Embedded Gaussian Affinity
Affinity-Functions
EdgeBoxes
Region-Proposal
AdamW
Stochastic-Optimization
TridentNet Block
Feature-Extractors
Cascade Corner Pooling
Pooling-Operations
Forward-Looking Actor
Actor-Critic-Algorithms
Distributed Shampoo
Large-Batch-Optimization
Stochastic-Optimization
Slime Mould Algorithm
Stochastic-Optimization
Optimization
Routing Attention
Attention-Patterns
TSRUs
Recurrent-Neural-Networks
PatchGAN
Discriminators
PrivacyNet
Generative-Adversarial-Networks
Face-Privacy
VQSVD
Quantum-Methods
FlexFlow
Auto-Parallel-Methods
Distributed-Methods
Learning From Multiple Experts
Knowledge-Distillation
DVD-GAN DBlock
Skip-Connection-Blocks
Image-Model-Blocks
InfoNCE
Loss-Functions
YOLOP
Lane-Detection-Models
Semantic-Segmentation-Models
Object-Detection-Models
One-Stage-Object-Detection-Models
Neural Oblivious Decision Ensembles
Deep-Tabular-Learning
Morphence
Adversarial-Attacks
Dynamic Algorithm Configuration
Hyperparameter-Search
Elastic ResNeXt Block
Image-Model-Blocks
Skip-Connection-Blocks
Hierarchical Style Disentanglement
Generative-Models
TabNet
Deep-Tabular-Learning
RoIWarp
RoI-Feature-Extractors
MobileNetV1
Convolutional-Neural-Networks
MoCo v2
Semi-Supervised-Learning-Methods
Self-Supervised-Learning
Feedback Memory
Attention-Modules
RPM-Net
Point-Cloud-Models
Mish
Activation-Functions
TSRUc
Recurrent-Neural-Networks
Neural Cache
Language-Model-Components
Xception
Convolutional-Neural-Networks
RPDet
Object-Detection-Models
SCARF
Deep-Tabular-Learning
Inception-v4
Convolutional-Neural-Networks
Serf
Activation-Functions
Split Attention
Image-Model-Blocks
MCKERNEL
Fourier-related-Transforms
Feature-Extractors
Convolutional-Neural-Networks
Varifocal Loss
Loss-Functions
Conditional Position Encoding Vision Transformer
Vision-Transformers
GAN Hinge Loss
Loss-Functions
ClariNet
Sequence-To-Sequence-Models
Text-to-Speech-Models
Cross-Attention Module
Attention-Modules
Invertible 1x1 Convolution
Convolutions
Online Multi-granularity Distillation
Knowledge-Distillation
Gradient Clipping
Optimization
Weight Normalization
Normalization
SKNet
Convolutional-Neural-Networks
Spectral Clustering
Clustering
Network Dissection
Interpretability
Deep-MAC
Instance-Segmentation-Models
Iterative Pseudo-Labeling
Speech-Recognition
Semi-Supervised-Learning-Methods
Distributed Distributional DDPG
Policy-Gradient-Methods
MLP-Mixer Layer
Image-Model-Blocks
R-CNN
Object-Detection-Models
Negative Face Recognition
Face-Recognition-Models
Virtual Batch Normalization
Normalization
MixText
Text-Augmentation
Text-Classification-Models
Semi-Supervised-Learning-Methods
Single-Headed Attention
Attention-Modules
ALDA
Unpaired-Image-to-Image-Translation
BatchChannel Normalization
Normalization
Parallax
Parameter-Server-Methods
Hybrid-Parallel-Methods
Distributed-Methods
A Framework for Leader Identification in Coordinated Activity
Leadership-Inference
Time-Series-Analysis
Softmax
Output-Functions
Adaptive Instance Normalization
Normalization
DAFNe
Oriented-Object-Detection-Models
Object-Detection-Models
DropBlock
Regularization
IICNet
Reversible-Image-Conversion-Models
Image-Models
DeepSIM
Image-Manipulation-Models
Image-Models
BiDet
Binary-Neural-Networks
Sandwich Transformer
Language-Models
Autoregressive-Transformers
Transformers
CornerNet
One-Stage-Object-Detection-Models
Object-Detection-Models
Self-Cure Network
Regularization
Enhanced-Multimodal Fuzzy Framework
Time-Series-Analysis
Spatial Feature Transform
Image-Model-Blocks
Topographic VAE
Generative-Models
Epsilon Greedy Exploration
Behaviour-Policies
Confidence Intervals for Diffusion Models
Image-Restoration-Models
MoBY
Self-Supervised-Learning
Residual GRU
Recurrent-Neural-Networks
rnnDrop
Regularization
Online Normalization
Normalization
Self-Organizing Map
Clustering
Synchronized Batch Normalization
Normalization
Hierarchical Multi-Task Learning
Deep-Tabular-Learning
Grid Sensitive
Object-Detection-Modules
YOLOv4
One-Stage-Object-Detection-Models
Object-Detection-Models
Attention-augmented Convolution
Attention-Modules
Convolutions
Dropout
Regularization
PREDATOR
Point-Cloud-Models
Adaptive Parameter-wise Diagonal Quasi-Newton Method
Stochastic-Optimization
TuckER with Relation Prediction
Graph-Embeddings
Content-based Attention
Attention-Mechanisms
Swapping Assignments between Views
Self-Supervised-Learning
Wavelet-integrated Identity Preserving Adversarial Network for face super-resolution
Face-Restoration-Models
style-based recalibration module
Attention-Mechanisms
gMLP
Image-Models
Faster R-CNN
Object-Detection-Models
StyleALAE
Generative-Models
Spatially Separable Convolution
Convolutions
GAN Least Squares Loss
Loss-Functions
Peer-attention
Attention-Modules
Performer
Transformers
Non-monotonically Triggered ASGD
Stochastic-Optimization
modReLU
Activation-Functions
Deep Q-Network
Q-Learning-Networks
BS-Net
Medical-Image-Models
Pointer Network
Recurrent-Neural-Networks
Sequence-To-Sequence-Models
UCNet
RGB-D-Saliency-Detection-Models
Triplet Attention
Attention-Modules
UCTransNet
Semantic-Segmentation-Models
Nouveau VAE
Generative-Models
Likelihood-Based-Generative-Models
Sharpness-Aware Minimization
Optimization
Semantic Reasoning Network
Scene-Text-Models
Bilateral Grid
Image-Representations
MPRNet
Image-Restoration-Models
ZoomNet
Pose-Estimation-Models
Syntax Heat Parse Tree
Interpretability
Lifelong Infinite Mixture
Lifelong-Learning
PocketNet
Face-Recognition-Models
Convolutional-Neural-Networks
VERtex Similarity Embeddings
Graph-Embeddings
Local Relation Network
Image-Model-Blocks
Deeper Atrous Spatial Pyramid Pooling
Semantic-Segmentation-Modules
Intrinsically Motivated Goal Exploration Processes
Self-Supervised-Learning
Accordion
Data-Parallel-Methods
Distributed-Methods
VATT
Multi-Modal-Methods
Vision-Transformers
MADDPG
Policy-Gradient-Methods
CentripetalNet
Object-Detection-Models
EfficientUNet++
Semantic-Segmentation-Models
RoIPool
RoI-Feature-Extractors
Adam
Stochastic-Optimization
Optimization
Large-Batch-Optimization
InterBERT
Vision-and-Language-Pre-Trained-Models
PGC-DGCNN
Graph-Models
SNIP
Multi-Scale-Training
Context-aware Visual Attention-based (CoVA) webpage object detection pipeline
Webpage-Object-Detection-Pipeline
Object-Detection-Models
PP-OCR
OCR-Models
Convolutions
Elastic Dense Block
Image-Model-Blocks
Skip-Connection-Blocks
Sparse Switchable Normalization
Normalization
GeGLU
Activation-Functions
ResNeXt Block
Image-Model-Blocks
Skip-Connection-Blocks
FuseFormer
Video-Inpainting-Models
Generative-Video-Models
LayerDrop
Regularization
Single Headed Attention RNN
Recurrent-Neural-Networks
Language-Models
FastPitch
Text-to-Speech-Models
Additive Angular Margin Loss
Loss-Functions
Hierarchical Feature Fusion
Degridding
GAN Feature Matching
Regularization
DVD-GAN GBlock
Skip-Connection-Blocks
Image-Model-Blocks
Early exiting using confidence measures
Loss-Functions
Visual Parsing
Vision-and-Language-Pre-Trained-Models
Inverted Residual Block
Skip-Connection-Blocks
Composite Fields
Image-Representations
Temporal ROIAlign
RoI-Feature-Extractors
Wide Residual Block
Image-Model-Blocks
Skip-Connection-Blocks
Semantic Cross Attention
Attention-Modules
MODNet
Portrait-Matting-Models
DV3 Attention Block
Attention-Modules
Audio-Model-Blocks
Macaw
Question-Answering-Models
Edge-augmented Graph Transformer
Transformers
Mix-FFN
Feedforward-Networks
Principal Components Analysis
Image-Denoising-Models
Dimensionality-Reduction
AutoML-Zero
AutoML
PRNet+
Position-Recovery-Models
Animatable Reconstruction of Clothed Humans
3D-Reconstruction
Computation Redistribution
Neural-Architecture-Search
PSANet
Semantic-Segmentation-Models
Closed-loop Weighted Empirical Risk Minimization
Robust-Training
Squeeze-and-Excitation Block
Image-Model-Blocks
SRU++
Recurrent-Neural-Networks
Dynamic Convolution
Temporal-Convolutions
Convolutions
Pixel-BERT
Vision-and-Language-Pre-Trained-Models
TridentNet
Object-Detection-Models
A3C
Policy-Gradient-Methods
Guided Language to Image Diffusion for Generation and Editing
Image-Generation-Models
Multi-Modal-Methods
Mogrifier LSTM
Recurrent-Neural-Networks
Message Passing Neural Network
Graph-Models
CAMoE
Video-Text-Retrieval-Models
GradientDICE
Density-Ratio-Learning
Multi-Heads of Mixed Attention
Rendezvous
Vision-Transformers
Transformers
Attention-Mechanisms
Attention
Attention-Modules
Prioritized Experience Replay
Replay-Memory
Multiple Random Window Discriminator
Discriminators
Local Interpretable Model-Agnostic Explanations
Interpretability
GPU-Efficient Network
Convolutional-Neural-Networks
Electric
Autoencoding-Transformers
Transformers
Language-Models
DynaBERT
Autoencoding-Transformers
Language-Models
Window-based Discriminator
Discriminators
SongNet
Transformers
BasicVSR
Video-Super-Resolution-Models
Fast R-CNN
Object-Detection-Models
Herring
Parameter-Server-Methods
Hybrid-Parallel-Methods
Distributed-Methods
Fast Minimum-Norm Attack
Adversarial-Attacks
IFNet
Video-Frame-Interpolation
Contrastive Video Representation Learning
Self-Supervised-Learning
Generative-Video-Models
GAN-TTS
Sequence-To-Sequence-Models
Text-to-Speech-Models
NAS-FCOS
Object-Detection-Models
Coordinate attention
Attention-Mechanisms
Hybrid Task Cascade
Object-Detection-Models
Instance-Segmentation-Models
Twins-SVT
Vision-Transformers
AdaSqrt
Stochastic-Optimization
FastSpeech 2
Text-to-Speech-Models
Meta-augmentation
Meta-Learning-Algorithms
Normalized Linear Combination of Activations
Activation-Functions
InstaBoost
Image-Data-Augmentation
SortCut Sinkhorn Attention
Attention-Mechanisms
ALBEF
Vision-and-Language-Pre-Trained-Models
Ape-X DQN
Q-Learning-Networks
Beneš Block with Residual Switch Units
Audio-Model-Blocks
MelGAN Residual Block
Audio-Model-Blocks
Skip-Connection-Blocks
Support-set Based Cross-Supervision
Video-Model-Blocks
Selective Kernel
Skip-Connection-Blocks
Image-Model-Blocks
Approximating Spatiotemporal Representations Using a 2DCNN
Action-Recognition-Models
(2+1)D Convolution
Convolutions
BP-Transformer
Transformers
Center Pooling
Pooling-Operations
Random Synthesized Attention
Synthesized-Attention-Mechanisms
Attention-Mechanisms
Retrace
Value-Function-Estimation
Dense Synthesized Attention
Synthesized-Attention-Mechanisms
Attention-Mechanisms
HyperDenseNet
Semantic-Segmentation-Models
LV-ViT
Image-Models
Vision-Transformers
Residual Network
Convolutional-Neural-Networks
Asymmetrical Bi-RNN
Bidirectional-Recurrent-Neural-Networks
Transformer in Transformer
Vision-Transformers
Image-Model-Blocks