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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)

DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation ICLR 2025 Dynamic Adapter Tuning for Long-Tailed Class-Incremental Learning WACV 2025 Dynamic Anchor-based Ensemble Clustering via Hypergraph Reconstruction IJCAI 2025 Dynamic and Generalizable Process Reward Modeling ACL 2025 Dynamic Assortment Selection and Pricing with Censored Preference Feedback ICLR 2025 Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units EMNLP 2025 Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration AAAI 2025 Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment ICLR 2025 Dynamic Dictionary Learning for Remote Sensing Image Segmentation ICCV 2025 Dynamic Energy-Based Contrastive Learning with Multi-Stage Knowledge Verification for Event Causality Identification EMNLP 2025 Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation Learning AAAI 2025 Dynamic Epistemic Friction in Dialogue CoNLL 2025 Dynamic Expansion Diffusion Learning for Lifelong Generative Modelling AAAI 2025 Dynamic Expert Specialization: Towards Catastrophic Forgetting-Free Multi-Domain MoE Adaptation EMNLP 2025 Dynamic Group Detection using VLM-augmented Temporal Groupness Graph ICCV 2025 Dynamic Higher-Order Relations and Event-Driven Temporal Modeling for Stock Price Forecasting IJCAI 2025 DynamicID: Zero-Shot Multi-ID Image Personalization with Flexible Facial Editability ICCV 2025 Dynamic Integration of Task-Specific Adapters for Class Incremental Learning CVPR 2025 Dynamic Interactive Bimodal Hypergraph Networks for Emotion Recognition in Conversations AAAI 2025 Dynamic Jointly Batch Selection for Data Efficient Machine Translation Fine-Tuning EMNLP 2025 Dynamic Model-Bank Test-Time Adaptation for Automatic Speech Recognition EMNLP 2025 Dynamic Multi-Interest Graph Neural Network for Session-Based Recommendation AAAI 2025 Dynamic Multi-Layer Null Space Projection for Vision-Language Continual Learning ICCV 2025 Dynamic Multimodal Prototype Learning in Vision-Language Models ICCV 2025 Dynamic Multiple High-order Correlations Fusion with Noise Filtering for Incomplete Multi-view Noisy-label Learning IJCAI 2025