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 Robustness of Agentic Function Calling
NAACL 2025
On the Robustness of Distributed Machine Learning Against Transfer Attacks
AAAI 2025
On the Robustness of Kernel Goodness-of-Fit Tests
JMLR 2025
On the Robustness of Reward Models for Language Model Alignment
ICML 2025
On the Robustness Tradeoff in Fine-Tuning
ICCV 2025
On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions
EMNLP 2025
On the Role of Key Phrases in Argument Mining
NAACL 2025
On the Role of Label Noise in the Feature Learning Process
ICML 2025
On the Role of Model Prior in Real-World Inductive Reasoning
EMNLP 2025
On the Role of Speech Data in Reducing Toxicity Detection Bias
NAACL 2025
On the Role of Unobserved Sequences on Sample-based Uncertainty Quantification for LLMs
EMNLP 2025
On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts
EMNLP 2025
On the Sample Complexity of Next-Token Prediction
AISTATS 2025
On the Similarities of Embeddings in Contrastive Learning
ICML 2025
On the Statistical Mechanisms of Distributional Compositional Generalization
ICML 2025
On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension
JMLR 2025
On the Tension between Byzantine Robustness and No-Attack Accuracy in Distributed Learning
ICML 2025
On the Tolerance of Repetition Before Performance Degradation in Kiswahili Automatic Speech Recognition
ACL 2025
On the Trainability and Classical Simulability of Learning Matrix Product States Variationally
AAAI 2025
On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures
ICML 2025
On the Transferability of Causal Knowledge for Language Models
NAACL 2025
On the Transfer of Object-Centric Representation Learning
ICLR 2025
On the Utility of Equal Batch Sizes for Inference in Stochastic Gradient Descent
JMLR 2025
On the Versatility of Sparse Autoencoders for In-Context Learning
EMNLP 2025
On the Vulnerability of Text Sanitization
NAACL 2025