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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

Mechanisms vs. Outcomes: Probing for Syntax Fails to Explain Performance on Targeted Syntactic Evaluations EMNLP 2025 MedCite: Can Language Models Generate Verifiable Text for Medicine? ACL 2025 MedDiT: A Knowledge-Controlled Diffusion Transformer Framework for Dynamic Medical Image Generation in Virtual Simulated Patient IJCAI 2025 MedFact: A Large-scale Chinese Dataset for Evidence-based Medical Fact-checking of LLM Responses EMNLP 2025 Mediation Analysis for Probabilities of Causation AAAI 2025 Medical Text Simplification From Jargon Detection to Jargon-Aware Prompting EMNLP 2025 MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models ICLR 2025 Medifact at PerAnsSumm 2025: Leveraging Lightweight Models for Perspective-Specific Summarization of Clinical Q&A Forums NAACL 2025 Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process Rewards EMNLP 2025 MedSummRAG: Domain-Specific Retrieval for Medical Summarization ACL 2025 MedThink: A Rationale-Guided Framework for Explaining Medical Visual Question Answering NAACL 2025 Medusa: A Multi-Scale High-order Contrastive Dual-Diffusion Approach for Multi-View Clustering CVPR 2025 Meetalk: Retrieval-Augmented and Adaptively Personalized Meeting Summarization with Knowledge Learning from User Corrections ACL 2025 MegaPairs: Massive Data Synthesis for Universal Multimodal Retrieval ACL 2025 MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data CVPR 2025 Membership Inference Attacks with False Discovery Rate Control ICCV 2025 MEMERAG: A Multilingual End-to-End Meta-Evaluation Benchmark for Retrieval Augmented Generation ACL 2025 Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers AAAI 2025 Memorization Inheritance in Sequence-Level Knowledge Distillation for Neural Machine Translation ACL 2025 Memorization or Reasoning? Exploring the Idiom Understanding of LLMs EMNLP 2025 Memorization ≠ Understanding: Do Large Language Models Have the Ability of Scenario Cognition? EMNLP 2025 Memorization vs. Reasoning: Updating LLMs with New Knowledge ACL 2025 Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction AAAI 2025 Memory-augmented Query Reconstruction for LLM-based Knowledge Graph Reasoning ACL 2025 Memory-Efficient Continual Learning with Neural Collapse Contrastive WACV 2025