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)

Intra-view and Inter-view Correlation Guided Multi-view Novel Class Discovery ICCV 2025 Intrinsic Bias is Predicted by Pretraining Data and Correlates with Downstream Performance in Vision-Language Encoders NAACL 2025 IntrinsicControlNet: Cross-distribution Image Generation with Real and Unreal ICCV 2025 Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations ICLR 2025 Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces AAAI 2025 Intrinsic Test of Unlearning Using Parametric Knowledge Traces EMNLP 2025 Intrinsic User-Centric Interpretability through Global Mixture of Experts ICLR 2025 Introducing Graph Context into Language Models through Parameter-Efficient Fine-Tuning for Lexical Relation Mining ACL 2025 Introducing MARB — A Dataset for Studying the Social Dimensions of Reporting Bias in Language Models ACL 2025 Introducing OmniGEC: A Silver Multilingual Dataset for Grammatical Error Correction ACL 2025 Introducing Spotlight: A Novel Approach for Generating Captivating Key Information from Documents EMNLP 2025 Introducing Verification Task of Set Consistency with Set-Consistency Energy Networks ACL 2025 Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process ACL 2025 Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning ICML 2025 Invariant Deep Uplift Modeling for Incentive Assignment in Online Marketing via Probability of Necessity and Sufficiency ICML 2025 Invariant Shape Representation Learning for Image Classification WACV 2025 Invariant Subspace Decomposition JMLR 2025 Inverse 3D Microscopy Rendering for Cell Shape Inference with Active Mesh ICCV 2025 Inverse Bridge Matching Distillation ICML 2025 InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct AAAI 2025 Inverse Constitutional AI: Compressing Preferences into Principles ICLR 2025 Inverse decision-making using neural amortized Bayesian actors ICLR 2025 Inverse Optimization via Learning Feasible Regions ICML 2025 Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo ICML 2025 Inverse Problems with Diffusion Models: A MAP Estimation Perspective WACV 2025