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)

Mitigating Selection Bias with Node Pruning and Auxiliary Options ACL 2025 Mitigating Sequential Dependencies: A Survey of Algorithms and Systems for Generation-Refinement Frameworks in Autoregressive Models EMNLP 2025 Mitigating Shortcut Learning via Smart Data Augmentation based on Large Language Model COLING 2025 Mitigating Shortcut Learning with InterpoLated Learning ACL 2025 Mitigating Spurious Correlations in Zero-Shot Multimodal Models ICLR 2025 Mitigating Spurious Correlations via Counterfactual Contrastive Learning EMNLP 2025 Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling NAACL 2025 Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace ICLR 2025 Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation CVPR 2025 Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data EMNLP 2025 Mitigating Visual Forgetting via Take-along Visual Conditioning for Multi-modal Long CoT Reasoning ACL 2025 Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent EMNLP 2025 MITracker: Multi-View Integration for Visual Object Tracking CVPR 2025 MixA: A Mixed Attention approach with Stable Lightweight Linear Attention to enhance Efficiency of Vision Transformers at the Edge ICCV 2025 MixA-Q: Revisiting Activation Sparsity for Vision Transformers from a Mixed-Precision Quantization Perspective ICCV 2025 Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment ICLR 2025 MixDiff: Mixing Natural and Synthetic Images for Robust Self-Supervised Representations WACV 2025 Mixed-curvature decision trees and random forests ICML 2025 Mixed-Curvature Multi-Modal Knowledge Graph Completion AAAI 2025 Mixed-Feature Logistic Regression Robust to Distribution Shifts AISTATS 2025 Mixed Signals: Understanding Model Disagreement in Multimodal Empathy Detection IJCNLP 2025 MixerMDM: Learnable Composition of Human Motion Diffusion Models CVPR 2025 MixEval-X: Any-to-any Evaluations from Real-world Data Mixture ICLR 2025 Mixing Inference-time Experts for Enhancing LLM Reasoning EMNLP 2025 Mixing Time of the Proximal Sampler in Relative Fisher Information via Strong Data Processing Inequality (Extended Abstract) COLT 2025