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 the Optimal Memorization Capacity of Transformers
ICLR 2025
On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models
ICLR 2025
On The Origin of Cultural Biases in Language Models: From Pre-training Data to Linguistic Phenomena
NAACL 2025
On the O(sqrt(d)/T^(1/4)) Convergence Rate of RMSProp and Its Momentum Extension Measured by l_1 Norm
JMLR 2025
On the Out-Of-Distribution Generalization of Large Multimodal Models
CVPR 2025
On the Out-of-Distribution Generalization of Self-Supervised Learning
ICML 2025
On the Perception Bottleneck of VLMs for Chart Understanding
EMNLP 2025
On the Performance Analysis of Momentum Method: A Frequency Domain Perspective
ICLR 2025
On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond
AISTATS 2025
On the Power of Multitask Representation Learning with Gradient Descent
AISTATS 2025
On the Power of Optimism in Constrained Online Convex Optimization
IJCAI 2025
On the Power of Strategic Corpus Enrichment in Content Creation Games
AAAI 2025
On the Price of Differential Privacy for Hierarchical Clustering
ICLR 2025
On the Privacy-preserving Generalized Eigenvalue Problem
ACML 2025
On the Private Estimation of Smooth Transport Maps
ICML 2025
On the Provable Importance of Gradients for Autonomous Language-Assisted Image Clustering
ICCV 2025
On the Provable Separation of Scales in Maximal Update Parameterization
ICML 2025
On the Query Complexity of Verifier-Assisted Language Generation
ICML 2025
On the Relation Between Fine-Tuning, Topological Properties, and Task Performance in Sense-Enhanced Embeddings
ACL 2025
On the Relation between Trainability and Dequantization of Variational Quantum Learning Models
ICLR 2025
On the Relationship Between Monotone and Squared Probabilistic Circuits
AAAI 2025
On the Reliability of Large Language Models for Causal Discovery
ACL 2025
On the Representation of Pairwise Causal Background Knowledge and Its Applications in Causal Inference
JMLR 2025
On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs
ACL 2025
On the Robust Approximation of ASR Metrics
ACL 2025