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

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'25

Papers (including subtopics)

Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps AISTATS 2025 Conditional Testing based on Localized Conformal p-values ICLR 2025 Conditioning diffusion models by explicit forward-backward bridging AISTATS 2025 Conditions for Catastrophic Forgetting in Multilingual Translation EMNLP 2025 ConDo: Continual Domain Expansion for Absolute Pose Regression AAAI 2025 Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement ACL 2025 ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement AAAI 2025 ConECT Dataset: Overcoming Data Scarcity in Context-Aware E-Commerce MT ACL 2025 CONFETTI: Conversational Function-Calling Evaluation Through Turn-Level Interactions ACL 2025 Confidence-Aware Reasoning: Optimizing Self-Guided Thinking Trajectories in Large Reasoning Models EMNLP 2025 Confidence-based Estimators for Predictive Performance in Model Monitoring (Abstract Reprint) IJCAI 2025 Confidence Calibration in Large Language Model-Based Entity Matching EMNLP 2025 Confidence Difference Reflects Various Supervised Signals in Confidence-Difference Classification ICML 2025 Confidence Elicitation: A New Attack Vector for Large Language Models ICLR 2025 Confidence Estimation for Error Detection in Text-to-SQL Systems AAAI 2025 Confidence-guided Refinement Reasoning for Zero-shot Question Answering EMNLP 2025 Confidence Improves Self-Consistency in LLMs ACL 2025 Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs ACL 2025 Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention ICML 2025 ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks ICLR 2025 Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers AAAI 2025 ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning AAAI 2025 ConFit v2: Improving Resume-Job Matching using Hypothetical Resume Embedding and Runner-Up Hard-Negative Mining ACL 2025 Conflicting Needles in a Haystack: How LLMs behave when faced with contradictory information EMNLP 2025 Conflicts in Texts: Data, Implications and Challenges EMNLP 2025