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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