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)

Disentangled Modeling of Preferences and Social Influence for Group Recommendation AAAI 2025 Disentangled Multi-Context Meta-Learning: Unlocking Robust and Generalized Task Learning CoRL 2025 Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning ACL 2025 Disentangled Representation Learning with the Gromov-Monge Gap ICLR 2025 Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location AAAI 2025 Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning ICCV 2025 Disentangle Nighttime Lens Flares: Self-supervised Generation-based Lens Flare Removal AAAI 2025 Disentangle Source and Target Knowledge for Continual Test-Time Adaptation WACV 2025 Disentangle to Decay: Linear Attention with Trainable Decay Factor COLING 2025 Disentangling 3D Animal Pose Dynamics with Scrubbed Conditional Latent Variables ICLR 2025 Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks AAAI 2025 Disentangling and Integrating Relational and Sensory Information in Transformer Architectures ICML 2025 Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning ACL 2025 Disentangling Biased Representations: A Causal Intervention Framework for Fairer NLP Models ACL 2025 Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models WACV 2025 Disentangling impact of capacity, objective, batchsize, estimators, and step-size on flow VI AISTATS 2025 Disentangling Interactions and Dependencies in Feature Attributions AISTATS 2025 Disentangling Invariant Subgraph via Variance Contrastive Estimation under Distribution Shifts ICML 2025 Disentangling Language and Culture for Evaluating Multilingual Large Language Models ACL 2025 Disentangling language change: sparse autoencoders quantify the semantic evolution of indigeneity in French NAACL 2025 Disentangling Language Understanding and Reasoning Structures in Cross-lingual Chain-of-Thought Prompting EMNLP 2025 Disentangling Linguistic Features with Dimension-Wise Analysis of Vector Embeddings NAACL 2025 Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting AAAI 2025 Disentangling Mathematical Reasoning in LLMs: A Methodological Investigation of Internal Mechanisms EMNLP 2025 Disentangling Memory and Reasoning Ability in Large Language Models ACL 2025