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
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Papers (including subtopics)
Distribution Free Tests for Model Selection Based on Maximum Mean Discrepancy with Estimated Parameters
JMLR 2025
Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework
AAAI 2025
Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting
AAAI 2025
Distribution Optimization under Gaussian Hypothesis for Domain Adaptive Semantic Segmentation
WACV 2025
Distribution Prompting: Understanding the Expressivity of Language Models Through the Next-Token Distributions They Can Produce
EMNLP 2025
Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection
CVPR 2025
Distribution-Specific Agnostic Conditional Classification With Halfspaces
ICLR 2025
DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent
ICLR 2025
DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation
ICML 2025
DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing
WACV 2025
DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers
ICCV 2025
Dive into Aerial Remote Sensing Underwater Depth Estimation with Hyperspectral Imagery
AAAI 2025
DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts
ACL 2025
DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints
AAAI 2025
Divergence-enhanced Knowledge-guided Context Optimization for Visual-Language Prompt Tuning
ICLR 2025
Divergence of Neural Tangent Kernel in Classification Problems
ICLR 2025
Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games
ICLR 2025
Divergent Domains Convergent Grading: Enhancing Generalization in Diabetic Retinopathy Grading
WACV 2025
Diverging Preferences: When do Annotators Disagree and do Models Know?
ICML 2025
DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows
CVPR 2025
Diverse, not Short: A Length-Controlled Data Selection Strategy for Improving Response Diversity of Language Models
EMNLP 2025
Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning
ICLR 2025
Diverse Preference Learning for Capabilities and Alignment
ICLR 2025
Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift
ICML 2025
Diverse Rare Sample Generation with Pretrained GANs
AAAI 2025