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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)

Rethinking LLM-Based Recommendations: A Personalized Query-Driven Parallel Integration EMNLP 2025 Rethinking LLM Uncertainty: A Multi-Agent Approach to Estimating Black-Box Model Uncertainty EMNLP 2025 Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond ICLR 2025 Rethinking Long Context Generation from the Continual Learning Perspective COLING 2025 Rethinking Masked Data Reconstruction Pretraining for Strong 3D Action Representation Learning AAAI 2025 Rethinking Multiple-Instance Learning From Feature Space to Probability Space ICLR 2025 Rethinking Noisy Video-Text Retrieval via Relation-aware Alignment CVPR 2025 Rethinking Personalized Aesthetics Assessment: Employing Physique Aesthetics Assessment as An Exemplification CVPR 2025 Rethinking Prompt-based Debiasing in Large Language Model ACL 2025 Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction AAAI 2025 Rethinking Query-based Transformer for Continual Image Segmentation CVPR 2025 Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization ACL 2025 Rethinking Scene Segmentation. Advancing Automated Detection of Scene Changes in Literary Texts NAACL 2025 Rethinking Spiking Neural Networks from an Ensemble Learning Perspective ICLR 2025 Rethinking Text-based Protein Understanding: Retrieval or LLM? EMNLP 2025 Rethinking the Adversarial Robustness of Multi-Exit Neural Networks in an Attack-Defense Game CVPR 2025 Rethinking the generalization of drug target affinity prediction algorithms via similarity aware evaluation ICLR 2025 Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory ACL 2025 Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks AAAI 2025 Rethinking Token Reduction with Parameter-Efficient Fine-Tuning in ViT for Pixel-Level Tasks CVPR 2025 Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image Denoising AAAI 2025 Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face Detector CVPR 2025 Rethinking what matters: Effective and Robust Multilingual Realignment for Low-Resource Languages IJCNLP 2025 RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation EMNLP 2025 Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning AAAI 2025