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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)

RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts ACL 2025 RankedCOMET: Elevating a 2022 Baseline to a Top-5 Finish in the WMT 2025 QE Task EMNLP 2025 RAP: A Metric for Balancing Repetition and Performance in Open-Source Large Language Models NAACL 2025 Rapidly Adapting Policies to the Real-World via Simulation-Guided Fine-Tuning ICLR 2025 Rapid Word Learning Through Meta In-Context Learning EMNLP 2025 RAP: Retrieval-Augmented Personalization for Multimodal Large Language Models CVPR 2025 RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning ICCV 2025 RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models ACL 2025 RareSyn: Health Record Synthesis for Rare Disease Diagnosis EMNLP 2025 Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance ICLR 2025 RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning AAAI 2025 RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler CVPR 2025 RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors AAAI 2025 RATHAN@DravidianLangTech 2025: Annaparavai - Separate the Authentic Human Reviews from AI-generated one NAACL 2025 Rationalize and Align: Enhancing Writing Assistance with Rationale via Self-Training for Improved Alignment ACL 2025 RATIONALYST: Pre-training Process-Supervision for Improving Reasoning ACL 2025 RAVEN++: Pinpointing Fine-Grained Violations in Advertisement Videos with Active Reinforcement Reasoning EMNLP 2025 RAV: Retrieval-Augmented Voting for Tactile Descriptions Without Training EMNLP 2025 RayZer: A Self-supervised Large View Synthesis Model ICCV 2025 RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting AAAI 2025 razreshili at ArchEHR-QA 2025: Contrastive Fine-Tuning for Retrieval-Augmented Biomedical QA ACL 2025 RBG-AI: Benefits of Multilingual Language Models for Low-Resource Languages EMNLP 2025 RCAP: Robust, Class-Aware, Probabilistic Dynamic Dataset Pruning UAI 2025 RCI: A Score for Evaluating Global and Local Reasoning in Multimodal Benchmarks EMNLP 2025 RCScore: Quantifying Response Consistency in Large Language Models EMNLP 2025