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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)

Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages AAAI 2020 Weakly-Supervised Reinforcement Learning for Controllable Behavior NeurIPS 2020 Weakly-Supervised Salient Object Detection via Scribble Annotations CVPR 2020 Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels CVPR 2020 Weakly-Supervised Semantic Segmentation via Sub-Category Exploration CVPR 2020 Weakly Supervised Sequence Tagging from Noisy Rules AAAI 2020 Weakly Supervised Subevent Knowledge Acquisition EMNLP 2020 Weakly Supervised Temporal Action Localization Using Deep Metric Learning WACV 2020 Weakly Supervised Training of Hierarchical Attention Networks for Speaker Identification Interspeech 2020 Weakly-Supervised Video Moment Retrieval via Semantic Completion Network AAAI 2020 Weakly-Supervised Video Re-Localization with Multiscale Attention Model AAAI 2020 Weakly Supervised Visual Semantic Parsing CVPR 2020 Weak Supervision for Fake News Detection via Reinforcement Learning AAAI 2020 Webly Supervised Knowledge Embedding Model for Visual Reasoning CVPR 2020 Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification AAAI 2020 We Can Detect Your Bias: Predicting the Political Ideology of News Articles EMNLP 2020 Weighted combination of BERT and N-GRAM features for Nuanced Arabic Dialect Identification COLING 2020 Weighted-Sampling Audio Adversarial Example Attack AAAI 2020 Weighted Sampling for Combined Model Selection and Hyperparameter Tuning AAAI 2020 Weight Poisoning Attacks on Pretrained Models ACL 2020 WER we are and WER we think we are EMNLP 2020 What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation CVPR 2020 What can I do here? A Theory of Affordances in Reinforcement Learning ICML 2020 What Can Learned Intrinsic Rewards Capture? ICML 2020 What Can We Learn from Collective Human Opinions on Natural Language Inference Data? EMNLP 2020