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)
Learning to See Inside Opaque Liquid Containers using Speckle Vibrometry
ICCV 2025
Learning to Select In-Context Demonstration Preferred by Large Language Model
ACL 2025
Learning to Select Nodes in Branch and Bound with Sufficient Tree Representation
ICLR 2025
Learning to Solve Differential Equation Constrained Optimization Problems
ICLR 2025
Learning to Solve Domain-Specific Calculation Problems with Knowledge-Intensive Programs Generator
NAACL 2025
Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise
UAI 2025
Learning to Steer Markovian Agents under Model Uncertainty
ICLR 2025
Learning to Stop: Deep Learning for Mean Field Optimal Stopping
ICML 2025
Learning to Substitute Words with Model-based Score Ranking
NAACL 2025
Learning to Summarize from LLM-generated Feedback
NAACL 2025
Learning to Translate Ambiguous Terminology by Preference Optimization on Post-Edits
EMNLP 2025
Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning
ICCV 2025
Learning to Verify Summary Facts with Fine-Grained LLM Feedback
COLING 2025
Learning to Visually Connect Actions and their Effects
WACV 2025
Learning Trajectories of Figurative Language for Pre-Trained Language Models
EMNLP 2025
Learning Transformer-based World Models with Contrastive Predictive Coding
ICLR 2025
Learning Transition Patterns by Large Language Models for Sequential Recommendation
COLING 2025
Learning under Noisy Labels Spurious Points and Diverse Structures: TS40K a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission Systems
WACV 2025
Learning under Temporal Label Noise
ICLR 2025
Learning Unified Distance Metric Across Diverse Data Distributions with Parameter-Efficient Transfer Learning
WACV 2025
Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning
AAAI 2025
Learning vector fields of differential equations on manifolds with geometrically constrained operator-valued kernels
ICLR 2025
Learning Verified Safe Neural Network Controllers for Multi-Agent Path Finding
AAAI 2025
Learning Video-Conditioned Policy on Unlabelled Data with Joint Embedding Predictive Transformer
ICLR 2025
Learning Visual Composition through Improved Semantic Guidance
CVPR 2025