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)

CDT: A Comprehensive Capability Framework for Large Language Models Across Cognition, Domain, and Task EMNLP 2025 CDTR: Semantic Alignment for Video Moment Retrieval Using Concept Decomposition Transformer AAAI 2025 CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning AAAI 2025 CEAES: Bidirectional Reinforcement Learning Optimization for Consistent and Explainable Essay Assessment ACL 2025 CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models ICLR 2025 CE-DA: Custom Embedding and Dynamic Aggregation for Zero-Shot Relation Extraction COLING 2025 CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition ICML 2025 CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Temporal Knowledge Graph Reasoning COLING 2025 CellFlux: Simulating Cellular Morphology Changes via Flow Matching ICML 2025 CellReplay: Towards accurate record-and-replay for cellular networks NSDI 2025 CEMIL: Contextual Attention Based Efficient Weakly Supervised Approach for Histopathology Image Classification WACV 2025 CEMTM: Contextual Embedding-based Multimodal Topic Modeling EMNLP 2025 Censor Dependent Variational Inference ICML 2025 CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference ACL 2025 Center-Based Approximation of a Drifting Distribution ALT 2025 Centrality-guided Pre-training for Graph ICLR 2025 CER: Confidence Enhanced Reasoning in LLMs ACL 2025 Certain but not Probable? Differentiating Certainty from Probability in LLM Token Outputs for Probabilistic Scenarios EMNLP 2025 CERTAIN: Context Uncertainty-aware One-Shot Adaptation for Context-based Offline Meta Reinforcement Learning ICML 2025 CertainlyUncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness ICLR 2025 Certainty in Uncertainty: Reasoning over Uncertain Knowledge Graphs with Statistical Guarantees EMNLP 2025 Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts ICML 2025 Certification for Differentially Private Prediction in Gradient-Based Training ICML 2025 Certification of Speaker Recognition Models to Additive Perturbations AAAI 2025 Certified Causal Defense with Generalizable Robustness AAAI 2025