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)
On Logical Extrapolation for Mazes with Recurrent and Implicit Networks
AAAI 2026
On Modality Weighting and Specificity for Multi-Modal Entity Alignment
AAAI 2026
On Model and Data Scaling for Skeleton-based Self-Supervised Gait Recognition
AAAI 2026
Onomasiological Sense Alignment Across Dialect Dictionaries. A Taxonomy-Constrained LLM Classification
EACL 2026
On Pairwise Quantile Regression - Statistical Guarantees and Applications
UAI 2026
On Randomized Algorithms in Online Strategic Classification
COLT 2026
On Robustness of Linear Classifiers to Targeted Data Poisoning
AAAI 2026
On the Additive Compositionality of Task Vectors in Vision–Language Models
EACL 2026
On the Asymptotics of Self-Supervised Pre-training: Two-Stage M-Estimation and Representation Symmetry
COLT 2026
On the Calibration of Image Semi-Supervised Learning Models
AAAI 2026
On The Complexity of Best-Arm Identification in Non-Stationary Linear Bandits
COLT 2026
On the Computational Tractability of Probabilistic Global and Local Sufficient Explanation
AAAI 2026
On the Convergence of Overparameterized Problems: Inherent Properties of the Compositional Structure of Neural Networks
L4DC 2026
On the Convergence of Self-Improving Online LLM Alignment
UAI 2026
On the Curse of Dimensionality in Private Sparse Covariance Estimation and PCA
COLT 2026
On the Dataless Training of Neural Networks
AAAI 2026
On the Effect of Hyperparameters in Language Modeling for Computational Linguistics
ACL 2026
On the Effect of Sampling Diversity in Scaling LLM Inference
UAI 2026
On the Evaluation of Capability Estimation Methods for Large Language Models
AAAI 2026
On the Exponential Convergence for Offline RLHF with Pairwise Comparisons
AAAI 2026
On the Gradient Complexity of Private Optimization with Private Oracles
COLT 2026
On the Granularity of Causal Effect Identifiability
UAI 2026
On the Hardness of Learning Regular Expressions
ALT 2026
On the Hidden Objective Biases of Group-based Reinforcement Learning
ACL 2026
On the Importance of Randomization in Discriminative Feature Feedback
COLT 2026