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)
Balanced Accuracy: The Right Metric for Evaluating LLM Judges - Explained through Youden’s J statistic
EACL 2026
Balanced Knowledge Distillation for Large Language Models with Mix-of-Experts
AAAI 2026
Balance Equation-based Distributionally Robust Offline Imitation Learning
L4DC 2026
Balancing Expressivity and Learnability in Quantum Kernel Bandit Optimization
UAI 2026
Balancing Fluency and Adherence: Hybrid Fallback Term Injection in Low-Resource Terminology Translation
EACL 2026
Balancing Multimodal Domain Generalization via Gradient Modulation and Projection
AAAI 2026
BAMAS: Structuring Budget-Aware Multi-Agent Systems
AAAI 2026
BAMI: Training-Free Bias Mitigation in GUI Grounding
CVPR 2026
Bandit Learning for Online Scheduling with Immediate Decision
UAI 2026
Bandit Learning in Housing Markets
AAAI 2026
Bandwidth Selection in Kernel Density Estimation for Model Calibration
UAI 2026
BanglaIPA: Towards Robust Text-to-IPA Transcription with Contextual Rewriting in Bengali
EACL 2026
BanglaProtha: Evaluating Vision Language Models in Underrepresented Long-tail Cultural Contexts
WACV 2026
Bant: Byzantine Antidote via Trial Function and Trust Scores
AAAI 2026
Barriers to Discrete Reasoning with Transformers: A Survey Across Depth, Exactness, and Bandwidth
EACL 2026
Basis-Oriented Low-rank Transfer for Few-Shot and Test-Time Adaptation
CVPR 2026
Batch Loss Score for Dynamic Data Pruning
CVPR 2026
BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models
AAAI 2026
BAT: Learning Event-based Optical Flow with Bidirectional Adaptive Temporal Correlation
AAAI 2026
Batman: Benign Knowledge Alignment Through Malicious Null Space in Federated Backdoor Attack
CVPR 2026
BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation
EACL 2026
Bayesian Causal Discovery in Directed Cyclic Graphs with Closed-Form Lag Bayes Factors
UAI 2026
Bayesian Causal Discovery Networks for Linear Mixed Data
CLeaR 2026
Bayesian Experimental Design via Score Matching
UAI 2026
Bayesian Inference of Contextual Bandit Policies via Empirical Likelihood
JMLR 2026