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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)

Instance Similarity Learning for Unsupervised Feature Representation ICCV 2021 Instance-Wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation ICCV 2021 Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits AISTATS 2021 Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework CVPR 2021 Instrumental Variable-based Identification for Causal Effects using Covariate Information AAAI 2021 Integrated Latent Heterogeneity and Invariance Learning in Kernel Space NeurIPS 2021 Integrated Principal Components Analysis JMLR 2021 Integrating Categorical Semantics into Unsupervised Domain Translation ICLR 2021 Integrating Higher-Level Semantics into Robust Biomedical Name Representations EACL 2021 Integrating Pre-trained Model into Rule-based Dialogue Management AAAI 2021 Integrating Visuospatial, Linguistic, and Commonsense Structure into Story Visualization EMNLP 2021 Intelligent Recommendations for Citizen Science AAAI 2021 Intent Detection and Slot Filling for Vietnamese Interspeech 2021 Interacting with Explanations through Critiquing IJCAI 2021 Interaction Compass: Multi-Label Zero-Shot Learning of Human-Object Interactions via Spatial Relations ICCV 2021 Interaction Considerations in Learning from Humans IJCAI 2021 Interaction-Grounded Learning ICML 2021 Interactive Label Cleaning with Example-based Explanations NeurIPS 2021 Interactive Learning from Activity Description ICML 2021 Interactive Machine Comprehension with Dynamic Knowledge Graphs EMNLP 2021 Interactive Self-Training With Mean Teachers for Semi-Supervised Object Detection CVPR 2021 Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling ICLR 2021 Interesting Object, Curious Agent: Learning Task-Agnostic Exploration NeurIPS 2021 Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning NeurIPS 2021 Internal Video Inpainting by Implicit Long-Range Propagation ICCV 2021