Machine Learning
132,800 papers (10 classified directly here)
Subtopics · a paper can sit in several, so these overlap
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)
Logic Distillation: Learning from Code Function by Function for Decision-making Tasks
IJCAI 2025
LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models
ACL 2025
Logic-Logit: A Logic-Based Approach to Choice Modeling
ICLR 2025
Logic: Long-form Outline Generation via Imitative and Critical Self-refinement
EMNLP 2025
LogicNet: A Logical Consistency Embedded Face Attribute Learning Network
WACV 2025
LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval
EMNLP 2025
LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning
ACL 2025
LogicQA: Logical Anomaly Detection with Vision Language Model Generated Questions
ACL 2025
Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning
AAAI 2025
Logic-Regularized Verifier Elicits Reasoning from LLMs
ACL 2025
LogicTree: Structured Proof Exploration for Coherent and Rigorous Logical Reasoning with Large Language Models
EMNLP 2025
LOGICZSL: Exploring Logic-induced Representation for Compositional Zero-shot Learning
CVPR 2025
LogiDynamics: Unraveling the Dynamics of Inductive, Abductive and Deductive Logical Inferences in LLM Reasoning
EMNLP 2025
LogiGraph: Logical Reasoning with Contrastive Learning and Lightweight Graph Networks
COLING 2025
Logits are All We Need to Adapt Closed Models
ICML 2025
Logits-Based Finetuning
EMNLP 2025
Logits DeConfusion with CLIP for Few-Shot Learning
CVPR 2025
Logit Separability-Driven Samples and Multiple Class-Related Words Selection for Advancing In-Context Learning
NAACL 2025
Logit Space Constrained Fine-Tuning for Mitigating Hallucinations in LLM-Based Recommender Systems
EMNLP 2025
LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning
AAAI 2025
LOGO — Long cOntext aliGnment via efficient preference Optimization
ICML 2025
Logos as a Well-Tempered Pre-train for Sign Language Recognition
EMNLP 2025
LogoSP: Local-global Grouping of Superpoints for Unsupervised Semantic Segmentation of 3D Point Clouds
CVPR 2025
LogRules: Enhancing Log Analysis Capability of Large Language Models through Rules
NAACL 2025
Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning
ICML 2025