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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)

SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for Remote Sensing Images CVPR 2025 SegFace: Face Segmentation of Long-Tail Classes AAAI 2025 Segment Any 3D Object with Language ICLR 2025 Segment Anything Meets Point Tracking WACV 2025 Segment First or Comprehend First? Explore the Limit of Unsupervised Word Segmentation with Large Language Models ACL 2025 Selecting Demonstrations for Many-Shot In-Context Learning via Gradient Matching ACL 2025 Selective Contrastive Learning for Weakly Supervised Affordance Grounding ICCV 2025 Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models AAAI 2025 Selective Preference Optimization via Token-Level Reward Function Estimation EMNLP 2025 Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models NAACL 2025 Selective Shot Learning for Code Explanation ACL 2025 Selective Uncertainty Propagation in Offline RL AAAI 2025 Selective Unlearning via Representation Erasure Using Domain Adversarial Training ICLR 2025 Selective Visual Prompting in Vision Mamba AAAI 2025 Select-then-Route : Taxonomy guided Routing for LLMs EMNLP 2025 Select to Know: An Internal-External Knowledge Self-Selection Framework for Domain-Specific Question Answering EMNLP 2025 Self-adaptive Dataset Construction for Real-World Multimodal Safety Scenarios EMNLP 2025 Self-attention-based Diffusion Model for Time-series Imputation in Partial Blackout Scenarios AAAI 2025 Self-Augmented Preference Alignment for Sycophancy Reduction in LLMs EMNLP 2025 SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment EMNLP 2025 Self-Boosting Large Language Models with Synthetic Preference Data ICLR 2025 Self-calibration Enhanced Whole Slide Pathology Image Analysis IJCAI 2025 SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models ICML 2025 Self-Classification Enhancement and Correction for Weakly Supervised Object Detection IJCAI 2025 Self-Contrastive Loop of Thought Method for Text-to-SQL Based on Large Language Model ACL 2025