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)

Optimizing LVLMs with On-Policy Data for Effective Hallucination Mitigation WACV 2026 Optimizing Preferential Rate in Retail Lending with Causal Inference and Domain Adaptation AAAI 2026 Optimizing Product Provenance Verification Using Data Valuation Methods AAAI 2026 Optimizing Urban Service Allocation with Time-Constrained Restless Bandits AAAI 2026 Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented LLM Personalization ACL 2026 Optimizing What We Trust: Reliability-Guided QUBO Selection of Multi-Agent Weak Framing Signals for Arabic Sentiment Prediction EACL 2026 OPTION: An Online Pricing Strategy for Asynchronous Federated Learning Against Free-Riding Attacks AAAI 2026 OptMark: Robust Multi-bit Diffusion Watermarking via Inference Time Optimization AAAI 2026 OptScale: Probabilistic Optimality for Inference-time Scaling AAAI 2026 Ordered Local Momentum for Asynchronous Distributed Learning Under Arbitrary Delays AAAI 2026 Order-Preserving Dimension Reduction for Multimodal Semantic Embedding AAAI 2026 Ordinal-Aware Multimodal Engagement Recognition for Collaborative Learning WACV 2026 Ordinal Secretaries with Advice AAAI 2026 Orion: Steering Personalized Web Agents via Global-Micro Profiling and Adaptive Intent Tracking AAAI 2026 OR-R1: Automating Modeling and Solving of Operations Research Optimization Problem via Test-Time Reinforcement Learning AAAI 2026 ORSO QGen: Odds-Ratio Steerable Optimization for Controlling Question Generation EACL 2026 ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation AAAI 2026 Orthogonal Spatial-Aware Multi-View Anchor Graph Clustering for Incomplete Remote Sensing Data CVPR 2026 ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning AAAI 2026 OscuFit: Learning to Fit Osculating Implicit Quadrics for Point Clouds AAAI 2026 Osint at SemEval-2026 Task 13: A Distribution-Aware Framework for Machine-Generated Code Detection and Multi-Source Authorship Attribution SemEval 2026 OSVBench: Benchmarking LLMs on Specification Generation Tasks for Operating System Verification AAAI 2026 OT-ALD: Aligning Latent Distributions with Optimal Transport for Accelerated Image-to-Image Translation AAAI 2026 OTARo: Once Tuning for All Precisions Toward Robust On-Device LLMs AAAI 2026 OTI: A Model-free and Visually Interpretable Measure of Image Attackability AAAI 2026