conftrace_

Architectures

30,950 papers (33 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Neural Networks (13,168) Transformers (11,186) Graph Neural Networks (5,491) Autoencoders (1,313) Convolutional Neural Networks (1,049) Recurrent Neural Networks (675) Generative Adversarial Networks (94) Encoder-Decoder (36)

Papers per year

2

3

15

13

18

17

27

39

43

74

94

221

536

912

1,611

2,559

3,004

3,504

3,729

4,021

4,550

4,519

1,439

'10

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Papers (including subtopics)

Reformulating HOI Detection As Adaptive Set Prediction CVPR 2021 Regional Attention Networks With Context-Aware Fusion for Group Emotion Recognition WACV 2021 Regional Attention with Architecture-Rebuilt 3D Network for RGB-D Gesture Recognition AAAI 2021 Regularization in ResNet with Stochastic Depth NeurIPS 2021 Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness IJCAI 2021 Reinforcement Learning Enhanced Explainer for Graph Neural Networks NeurIPS 2021 Related Named Entities Classification in the Economic-Financial Context EACL 2021 Relating Neural Text Degeneration to Exposure Bias EMNLP 2021 Relational Classification of Biological Cells in Microscopy Images AAAI 2021 Relational Embedding for Few-Shot Classification ICCV 2021 Relational Self-Attention: What's Missing in Attention for Video Understanding NeurIPS 2021 Relation-aware Bidirectional Path Reasoning for Commonsense Question Answering CoNLL 2021 Relation-aware Graph Attention Model with Adaptive Self-adversarial Training AAAI 2021 Relation-Aware Neighborhood Matching Model for Entity Alignment AAAI 2021 Relation-aware Video Reading Comprehension for Temporal Language Grounding EMNLP 2021 Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph AAAI 2021 Relative Flatness and Generalization NeurIPS 2021 Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network CVPR 2021 Representational aspects of depth and conditioning in normalizing flows ICML 2021 Representation Costs of Linear Neural Networks: Analysis and Design NeurIPS 2021 Representation Learning on Spatial Networks NeurIPS 2021 Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models NeurIPS 2021 Representing ELMo embeddings as two-dimensional text online EACL 2021 Representing Long-Range Context for Graph Neural Networks with Global Attention NeurIPS 2021 Representing the Unification of Text Featurization using a Context-Free Grammar AAAI 2021