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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'25
Papers (including subtopics)
Prior Prompt Engineering for Reinforcement Fine-Tuning
EMNLP 2025
PRISM: A Framework for Producing Interpretable Political Bias Embeddings with Political-Aware Cross-Encoder
ACL 2025
PRISM: Efficient Long-Range Reasoning With Short-Context LLMs
EMNLP 2025
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models
ICLR 2025
PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning
EMNLP 2025
PRISM: Reducing Spurious Implicit Biases in Vision-Language Models with LLM-Guided Embedding Projection
ICCV 2025
PrivaCI-Bench: Evaluating Privacy with Contextual Integrity and Legal Compliance
ACL 2025
Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting
ICML 2025
Privacy Amplification Through Synthetic Data: Insights from Linear Regression
ICML 2025
Privacy-and-Utility-Aware Publishing of Schedules
AAAI 2025
Privacy Attacks on Image AutoRegressive Models
ICML 2025
Privacy Auditing of Large Language Models
ICLR 2025
Privacy-Aware Lifelong Learning
ICLR 2025
Privacy-centric Deep Motion Retargeting for Anonymization of Skeleton-Based Motion Visualization
ICCV 2025
Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory
NAACL 2025
Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
EMNLP 2025
Privacy in Metalearning and Multitask Learning: Modeling and Separations
AISTATS 2025
Privacy Preserving Data Selection for Bias Mitigation in Speech Models
ACL 2025
Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation
ICML 2025
Privacy-Preserving Federated Learning for Hate Speech Detection
NAACL 2025
Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models
AAAI 2025
Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models
ICLR 2025
Privacy Preserving Solution of DCOPs by Local Search
IJCAI 2025
Privacy-Preserving V2X Collaborative Perception Integrating Unknown Collaborators
AAAI 2025
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration
ACL 2025