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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)

Open-Set Domain Adaptation for Semantic Segmentation CVPR 2024 Open-Set Facial Expression Recognition AAAI 2024 Open-Set Graph Domain Adaptation via Separate Domain Alignment AAAI 2024 Open-Set Object Detection by Aligning Known Class Representations WACV 2024 Open-Set Semi-Supervised Text Classification via Adversarial Disagreement Maximization ACL 2024 OpenSight: A Simple Open-Vocabulary Framework for LiDAR-Based Object Detection ECCV 2024 OpenT2T: An Open-Source Toolkit for Table-to-Text Generation EMNLP 2024 OpenVNA: A Framework for Analyzing the Behavior of Multimodal Language Understanding System under Noisy Scenarios ACL 2024 Open-Vocabulary 3D Semantic Segmentation with Foundation Models CVPR 2024 Open-Vocabulary Federated Learning with Multimodal Prototyping NAACL 2024 Open-Vocabulary Object Detection via Language Hierarchy NeurIPS 2024 Open-Vocabulary Segmentation with Semantic-Assisted Calibration CVPR 2024 Open Vocabulary Semantic Scene Sketch Understanding CVPR 2024 Open-Vocabulary Video Anomaly Detection CVPR 2024 Open-World Human-Object Interaction Detection via Multi-modal Prompts CVPR 2024 Open-world Multi-label Text Classification with Extremely Weak Supervision EMNLP 2024 Open-World Semantic Segmentation Including Class Similarity CVPR 2024 Opinions Are Not Always Positive: Debiasing Opinion Summarization with Model-Specific and Model-Agnostic Methods COLING 2024 Opinion Unaware Image Quality Assessment via Adversarial Convolutional Variational Autoencoder WACV 2024 Opponent Modeling based on Subgoal Inference NeurIPS 2024 Opponent Modeling with In-context Search NeurIPS 2024 Opponent-Model Search in Games with Incomplete Information AAAI 2024 Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift NeurIPS 2024 Optimal Algorithms for Online Convex Optimization with Adversarial Constraints NeurIPS 2024 Optimal Attack and Defense for Reinforcement Learning AAAI 2024