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 Personalized Federated Learning Through Adaptive Layer-Wise Learning IJCAI 2025 Optimizing Posterior Samples for Bayesian Optimization via Rootfinding ICLR 2025 Optimizing Pre-Training Data Mixtures with Mixtures of Data Expert Models ACL 2025 Optimizing Quantized Diffusion Models via Distillation with Cross-Timestep Error Correction AAAI 2025 Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering ACL 2025 Optimizing Reasoning for Text-to-SQL with Execution Feedback ACL 2025 Optimizing Return Distributions with Distributional Dynamic Programming JMLR 2025 Optimizing RLHF Training for Large Language Models with Stage Fusion NSDI 2025 Optimizing Segmentation of Neonatal Brain MRIs with Partially Annotated Multi-Label Data MLHC 2025 Optimizing Social Network Interventions via Hypergradient-Based Recommender System Design ICML 2025 Optimizing Temperature for Language Models with Multi-Sample Inference ICML 2025 Optimizing Test-Time Compute via Meta Reinforcement Finetuning ICML 2025 Optimizing Vision-Language Model for Road Crossing Intention Estimation WACV 2025 Optimizing Vital Sign Monitoring in Resource-Constrained Maternal Care: An RL-Based Restless Bandit Approach AAAI 2025 Optimus-2: Multimodal Minecraft Agent with Goal-Observation-Action Conditioned Policy CVPR 2025 OPTIMUS: Observing Persistent Transformations in Multi-Temporal Unlabeled Satellite-Data WACV 2025 Opt-In Art: Learning Art Styles Only from Few Examples NeurIPS 2025 Option Symbol Matters: Investigating and Mitigating Multiple-Choice Option Symbol Bias of Large Language Models NAACL 2025 OptiPrune: Effective Pruning Approach for Every Target Sparsity COLING 2025 OptiReduce: Resilient and Tail-Optimal AllReduce for Distributed Deep Learning in the Cloud NSDI 2025 OptiSeq: Ordering Examples On-The-Fly for In-Context Learning EMNLP 2025 OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling ICML 2025 Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport ACL 2025 Oracle efficient truncated statistics ICLR 2025 OracleFusion: Assisting the Decipherment of Oracle Bone Script with Structurally Constrained Semantic Typography ICCV 2025