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

'15

'20

'25

Papers (including subtopics)

ProtGO: Function-Guided Protein Modeling for Unified Representation Learning NeurIPS 2024 ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data ICML 2024 ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition IJCAI 2024 Prototypical Transformer As Unified Motion Learners ICML 2024 Provable Accelerated Convergence of Nesterov’s Momentum for Deep ReLU Neural Networks ALT 2024 Provable Benefits of Complex Parameterizations for Structured State Space Models NeurIPS 2024 Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: A Feature Learning Perspective ICML 2024 Provable Compositional Generalization for Object-Centric Learning ICLR 2024 Provable Editing of Deep Neural Networks using Parametric Linear Relaxation NeurIPS 2024 Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks ICML 2024 Provable Tempered Overfitting of Minimal Nets and Typical Nets NeurIPS 2024 Provably Efficient CVaR RL in Low-rank MDPs ICLR 2024 Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples ICML 2024 Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes NeurIPS 2024 Provably Powerful Graph Neural Networks for Directed Multigraphs AAAI 2024 Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning NeurIPS 2024 Proxyformer: Nyström-Based Linear Transformer with Trainable Proxy Tokens AAAI 2024 Pruning Large Language Models to Intra-module Low-rank Architecture with Transitional Activations ACL 2024 PSC: Extending Context Window of Large Language Models via Phase Shift Calibration EMNLP 2024 Pseudo-Siamese Blind-spot Transformers for Self-Supervised Real-World Denoising NeurIPS 2024 PTaRL: Prototype-based Tabular Representation Learning via Space Calibration ICLR 2024 P-tensors: a General Framework for Higher Order Message Passing in Subgraph Neural Networks AISTATS 2024 PTQ4DiT: Post-training Quantization for Diffusion Transformers NeurIPS 2024 ptwt - The PyTorch Wavelet Toolbox JMLR 2024 Puer at SemEval-2024 Task 2: A BioLinkBERT Approach to Biomedical Natural Language Inference SemEval 2024