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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)

Learning to Learn in Interactive Constraint Acquisition AAAI 2024 Learning to Make Adherence-aware Advice ICLR 2024 Learning to Manipulate Artistic Images AAAI 2024 Learning to Model the World With Language ICML 2024 Learning to Navigate Efficiently and Precisely in Real Environments CVPR 2024 Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning AAAI 2024 Learning to Paraphrase for Alignment with LLM Preference EMNLP 2024 Learning to Pivot as a Smart Expert AAAI 2024 Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs EMNLP 2024 Learning to Predict Activity Progress by Self-Supervised Video Alignment CVPR 2024 Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning ICML 2024 Learning to Price Homogeneous Data NeurIPS 2024 Learning to Prompt Knowledge Transfer for Open-World Continual Learning AAAI 2024 Learning to Rank for Active Learning via Multi-Task Bilevel Optimization UAI 2024 Learning to Rank in Generative Retrieval AAAI 2024 Learning to Rank Patches for Unbiased Image Redundancy Reduction CVPR 2024 Learning To Recognize Occluded and Small Objects With Partial Inputs WACV 2024 Learning to Refine with Fine-Grained Natural Language Feedback EMNLP 2024 Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances ICLR 2024 Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval CVPR 2024 Learning to Retrieve Iteratively for In-Context Learning EMNLP 2024 Learning to Reweight for Generalizable Graph Neural Network AAAI 2024 Learning to Route Among Specialized Experts for Zero-Shot Generalization ICML 2024 Learning to Route for Dynamic Adapter Composition in Continual Learning with Language Models EMNLP 2024 Learning to Segment Referred Objects from Narrated Egocentric Videos CVPR 2024