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)

Boosting Graph Anomaly Detection with Adaptive Message Passing ICLR 2024 Boosting Graph Pooling with Persistent Homology NeurIPS 2024 Boosting Image Quality Assessment through Efficient Transformer Adaptation with Local Feature Enhancement CVPR 2024 Boosting Residual Networks with Group Knowledge AAAI 2024 Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance NeurIPS 2024 Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective ICLR 2024 Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning NeurIPS 2024 Boosting Vanilla Lightweight Vision Transformers via Re-parameterization ICLR 2024 Bootstrapping Top-down Information for Self-modulating Slot Attention NeurIPS 2024 BoQ: A Place is Worth a Bag of Learnable Queries CVPR 2024 Boundary Denoising for Video Activity Localization ICLR 2024 Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs ICML 2024 Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks ICLR 2024 Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension NeurIPS 2024 Brain Decodes Deep Nets CVPR 2024 Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking NeurIPS 2024 BranchNorm: Robustly Scaling Extremely Deep Transformers ACL 2024 Brandeis at VarDial 2024 DSL-ML Shared Task: Multilingual Models, Simple Baselines and Data Augmentation NAACL 2024 Breaking ReLU Barrier: Generalized MoEfication for Dense Pretrained Models EMNLP 2024 Breaking Semantic Artifacts for Generalized AI-generated Image Detection NeurIPS 2024 Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models EMNLP 2024 Bridging Local Details and Global Context in Text-Attributed Graphs EMNLP 2024 Bridging Stereo Geometry and BEV Representation with Reliable Mutual Interaction for Semantic Scene Completion IJCAI 2024 Bridging the Code Gap: A Joint Learning Framework across Medical Coding Systems COLING 2024 Bridging the Divide: Reconsidering Softmax and Linear Attention NeurIPS 2024