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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)

Top-k eXtreme Contextual Bandits with Arm Hierarchy ICML 2021 Top-k Ranking Bayesian Optimization AAAI 2021 Topological Attention for Time Series Forecasting NeurIPS 2021 Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs IJCAI 2021 Topology Distance: A Topology-Based Approach for Evaluating Generative Adversarial Networks AAAI 2021 Topology-Imbalance Learning for Semi-Supervised Node Classification NeurIPS 2021 To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning EMNLP 2021 To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation EMNLP 2021 Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers EMNLP 2021 Toward a General Theory of Online Selective Sampling: Trading Off Mistakes and Queries AISTATS 2021 Toward Diverse Precondition Generation ACL 2021 Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation CVPR 2021 Toward Realistic Single-View 3D Object Reconstruction With Unsupervised Learning From Multiple Images ICCV 2021 Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR EACL 2021 Towards a Dimension-Free Understanding of Adaptive Linear Control COLT 2021 Towards a First Automatic Unsupervised Morphological Segmentation for Inuinnaqtun NAACL 2021 Towards Alleviating the Modeling Ambiguity of Unsupervised Monocular 3D Human Pose Estimation ICCV 2021 Towards a Model-Theoretic View of Narratives NAACL 2021 Towards a more Robust Evaluation for Conversational Question Answering ACL 2021 Towards a Theoretical Framework of Out-of-Distribution Generalization NeurIPS 2021 Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness NeurIPS 2021 Towards a Unifying Framework for Formal Theories of Novelty AAAI 2021 Towards Balanced Defect Prediction with Better Information Propagation AAAI 2021 Towards Benchmarking the Utility of Explanations for Model Debugging NAACL 2021 Towards Better Robust Generalization with Shift Consistency Regularization ICML 2021