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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 Subject-Aware Cropping by Outpainting Professional Photos AAAI 2024 Learning Successor Features the Simple Way NeurIPS 2024 Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection AAAI 2024 Learning Task Decomposition to Assist Humans in Competitive Programming ACL 2024 Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards NeurIPS 2024 Learning the Pareto Set Under Incomplete Preferences: Pure Exploration in Vector Bandits AISTATS 2024 Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning ECCV 2024 Learning the What and How of Annotation in Video Object Segmentation WACV 2024 Learning Thresholds with Latent Values and Censored Feedback ICLR 2024 Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation AAAI 2024 Learning to Assist Humans without Inferring Rewards NeurIPS 2024 Learning to Build Solutions in Stochastic Matching Problems Using Flows (Student Abstract) AAAI 2024 Learning to compute Gröbner bases NeurIPS 2024 Learning to Cooperate with Humans using Generative Agents NeurIPS 2024 Learning to Correct for QA Reasoning with Black-box LLMs EMNLP 2024 Learning to Count without Annotations CVPR 2024 Learning to design protein-protein interactions with enhanced generalization ICLR 2024 Learning to Detour: Shortcut Mitigating Augmentation for Weakly Supervised Semantic Segmentation WACV 2024 Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf NeurIPS 2024 Learning to Edit Visual Programs with Self-Supervision NeurIPS 2024 Learning to Embed Time Series Patches Independently ICLR 2024 Learning to Generate Answers with Citations via Factual Consistency Models ACL 2024 Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation ACL 2024 Learning to Generate Rules for Realistic Few-Shot Relation Classification: An Encoder-Decoder Approach EMNLP 2024 Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks NeurIPS 2024