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
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Papers (including subtopics)
Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification
JMLR 2026
Extreme Amodal Face Detection
WACV 2026
F2SST: Frequency-to-Spatial Semantic Transfer for Few-Shot Image Classification
AAAI 2026
Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning
WACV 2026
Fact2Fiction: Targeted Poisoning Attack to Agentic Fact-checking System
AAAI 2026
FACTrial: Factorized Clinical Contrastive Training for Scalable Patient-Trial Retrieval
ACL 2026
Fading the Digital Ink: A Universal Black-Box Attack Framework for 3DGS Watermarking Systems
AAAI 2026
FAID: Fine-grained AI-generated Text Detection using Multi-task Auxiliary and Multi-level Contrastive Learning
EACL 2026
Fair and Efficient Balanced Allocation for Indivisible Goods
AAAI 2026
Fair Bayesian Data Selection via Generalized Discrepancy Measures
AAAI 2026
Fair Domain Generalization: An Information-Theoretic View
AAAI 2026
Fair Facial Attribute Recognition via Group-Decoupled Vision Transformer with Mask-Guided Correlation Suppression
AAAI 2026
FairGC: Fostering Individual and Group Fairness for Deep Graph Clustering
AAAI 2026
Fair Graph Learning with Limited Sensitive Attribute Information
AAAI 2026
Fair Model-based Clustering
AAAI 2026
Fairness and Stability for Shared Resource Allocation Problems
AAAI 2026
Fairness-Aware Design for Contextual Experiments: Guaranteeing Reliability and Equity in Heterogeneous Subgroups
AAAI 2026
Fairness Aware Reinforcement Learning via Proximal Policy Optimization
AAAI 2026
Fairness in Repeated Matching: A Maximin Perspective
AAAI 2026
Fairness in the Multi-Secretary Problem
AAAI 2026
Fairness Perceptions of Large Language Models
AAAI 2026
Fairness Uncertainty Quantification: A Constrained Stochastic Optimization Perspective
UAI 2026
Fairness under Graph Uncertainty: Achieving Interventional Fairness with Partially Known Causal Graphs over Clusters of Variables
UAI 2026
FairScene: Learning Class-Disentangled 2D/3D Representations for Semantic Scene Completion
WACV 2026
FAIR-SIGHT: Fairness Assurance in Image Recognition via Simultaneous Conformal Thresholding and Dynamic Output Repair
WACV 2026