conftrace_

Machine Learning

132,800 papers (10 classified directly here)

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

Learning Types (56,253) Core Methods (51,083) Optimization & Theory (43,292) Application Areas (34,437) Bayesian & Probabilistic (4,733) Learning Paradigms (2,205)

Papers per year

5

22

43

74

52

76

308

315

348

358

533

570

711

1,481

1,361

1,651

2,440

3,865

5,968

9,301

11,133

13,312

14,452

17,500

20,351

21,167

5,403

2000

'5

'10

'15

'20

'25

Papers (including subtopics)

Fair Submodular Cover ICLR 2025 Fair Submodular Maximization over a Knapsack Constraint IJCAI 2025 Fair Summarization: Bridging Quality and Diversity in Extractive Summaries NAACL 2025 FAIR-TAT: Improving Model Fairness using Targeted Adversarial Training WACV 2025 Fair Text-Attributed Graph Representation Learning EMNLP 2025 Fair Text Classification via Transferable Representations JMLR 2025 Fair Text-to-Image Diffusion via Fair Mapping AAAI 2025 FairTP: A Prolonged Fairness Framework for Traffic Prediction AAAI 2025 Fair Training with Zero Inputs AAAI 2025 FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows" ICLR 2025 Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint AAAI 2025 Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations ACL 2025 Faithful Inference Chains Extraction for Fact Verification over Multi-view Heterogeneous Graph with Causal Intervention COLING 2025 FaithfulSAE: Towards Capturing Faithful Features with Sparse Autoencoders without External Datasets Dependency ACL 2025 Faithful Transcription: Leveraging Bible Recordings to Improve ASR for Endangered Languages IJCNLP 2025 Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluation NAACL 2025 FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge EMNLP 2025 FakeDiffer: Distributional Disparity Learning on Differentiated Reconstruction for Face Forgery Detection AAAI 2025 FakeRadar: Probing Forgery Outliers to Detect Unknown Deepfake Videos ICCV 2025 FakeSV-VLM: Taming VLM for Detecting Fake Short-Video News via Progressive Mixture-Of-Experts Adapter EMNLP 2025 FALCON: Adaptive Cross-Domain APT Attack Investigation with Federated Causal Learning UAI 2025 FALCON: Fair Face Recognition via Local Optimal Feature Normalization WACV 2025 FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding CVPR 2025 Falcon: Faster and Parallel Inference of Large Language Models Through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree AAAI 2025 FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers ICCV 2025