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
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Papers (including subtopics)
PRISM: Probabilistic Reward Model with Inherent Structural Modeling
ACL 2026
Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks
AAAI 2026
Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
AAAI 2026
Privacy on the Fly: A Predictive Adversarial Transformation Network for Mobile Sensor Data
AAAI 2026
Privacy-Preserving Argumentative Explanations (Student Abstract)
AAAI 2026
Privacy Preserving In-Context-Learning Framework for Large Language Models
AAAI 2026
Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering
AAAI 2026
Private Frequency Estimation via Residue Number Systems
AAAI 2026
Private Linear Regression via a Down-Sensitivity to Privacy Reduction
COLT 2026
Privately Estimating Black-Box Statistics
COLT 2026
Privately Learning Decision Lists and a Differentially Private Winnow
ALT 2026
PrivSV: Differentially Private Steering Vector for Large Language Models
AAAI 2026
PrivSynth: Alternating and Control-Based Optimization for Privacy and Utility in Synthetic Data
CVPR 2026
PR-MaGIC: Prompt Refinement Via Mask Decoder Gradient Flow For In-Context Segmentation
CVPR 2026
ProAR: Probabilistic Autoregressive Modeling for Molecular Dynamics
AAAI 2026
Probabilistic Bilingual Subword Segmentation with Latent Subword Alignment
EACL 2026
Probabilistic Deformation Consistency for Unsupervised Shape Matching
AAAI 2026
Probabilistic Edge Modulation for High-Dimensional Causal Discovery
UAI 2026
Probabilistic Hash Embeddings for Online Learning of Categorical Features
AAAI 2026
Probabilistic Hierarchical Goal Network Planning with UCT
AAAI 2026
Probabilistic Precipitation Nowcasting with Rectified Flow Transformers
CVPR 2026
Probabilistic Rainfall Downscaling: Joint Generalized Neural Models with Censored Spatial Gaussian Copula
JMLR 2026
Probabilistic Safety Verification of Neural Policies via Predicate Abstraction
AAAI 2026
Probabilistic Verification of Neural Networks via Efficient Probabilistic Hull Generation
UAI 2026
Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models
AAAI 2026