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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)

Understanding the Relationship between Interactions and Outcomes in Human-in-the-Loop Machine Learning IJCAI 2021 Understanding the Robustness of Skeleton-Based Action Recognition Under Adversarial Attack CVPR 2021 Understanding the Under-Coverage Bias in Uncertainty Estimation NeurIPS 2021 Understanding the World Through Action CoRL 2021 UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning ICML 2021 Unexpected Effects of Online no-Substitution k-means Clustering ALT 2021 UniDoc: Unified Pretraining Framework for Document Understanding NeurIPS 2021 Unification-based Reconstruction of Multi-hop Explanations for Science Questions EACL 2021 Unified Robust Semi-Supervised Variational Autoencoder ICML 2021 Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring AAAI 2021 Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation NeurIPS 2021 Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation NeurIPS 2021 Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions (Extended Abstract) IJCAI 2021 UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks IJCAI 2021 UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning ACL 2021 UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data ICML 2021 UniteD-SRL: A Unified Dataset for Span- and Dependency-Based Multilingual and Cross-Lingual Semantic Role Labeling EMNLP 2021 UniT: Multimodal Multitask Learning With a Unified Transformer ICCV 2021 UniT: Unified Knowledge Transfer for Any-Shot Object Detection and Segmentation CVPR 2021 Universal Adversarial Attacks with Natural Triggers for Text Classification NAACL 2021 Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards a Fourier Perspective AAAI 2021 Universal Cross-Domain Retrieval: Generalizing Across Classes and Domains ICCV 2021 Universal Off-Policy Evaluation NeurIPS 2021 Universal-Prototype Enhancing for Few-Shot Object Detection ICCV 2021 Universal Representation Learning From Multiple Domains for Few-Shot Classification ICCV 2021