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)

Adapting to Observation Length of Trajectory Prediction via Contrastive Learning CVPR 2025 Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach AISTATS 2025 Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision ICCV 2025 Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation ICML 2025 Adapting Whisper for Regional Dialects: Enhancing Public Services for Vulnerable Populations in the United Kingdom COLING 2025 Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning ICLR 2025 Adaptive Across-Subcenter Representation Learning for Imbalanced Anomalous Sound Detection Interspeech 2025 AdaptiveAE: An Adaptive Exposure Strategy for HDR Capturing in Dynamic Scenes ICCV 2025 Adaptive and Robust Translation from Natural Language to Multi-model Query Languages ACL 2025 Adaptive backtracking line search ICLR 2025 Adaptive Batch Size for Privately Finding Second-Order Stationary Points ICLR 2025 Adaptive Caching for Faster Video Generation with Diffusion Transformers ICCV 2025 Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Networks AAAI 2025 Adaptive Camera Sensor for Vision Models ICLR 2025 Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback JMLR 2025 Adaptive Collaborative Labeling with MLLMs for Low-Resource Multimodal Emotion Recognition IJCNLP 2025 Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference AAAI 2025 Adaptive Control of Positive Systems with Application to Learning SSP L4DC 2025 Adaptive Convergence Rates for Log-Concave Maximum Likelihood AISTATS 2025 Adaptive Data Collection for Robust Learning Across Multiple Distributions ICML 2025 Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws ICLR 2025 Adaptive Dataset Quantization AAAI 2025 Adaptive Decision Boundary for Few-Shot Class-Incremental Learning AAAI 2025 Adaptive Deep Learning from Crowds IJCAI 2025 Adaptive Deployment of Untrusted LLMs Reduces Distributed Threats ICLR 2025