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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)

A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI AAAI 2019 A Theory of Selective Prediction COLT 2019 A Tighter Analysis of Randomised Policy Iteration UAI 2019 A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection AAAI 2019 Attacking Data Transforming Learners at Training Time AAAI 2019 Attending to Discriminative Certainty for Domain Adaptation CVPR 2019 Attending to Future Tokens for Bidirectional Sequence Generation EMNLP 2019 Attentional Neural Fields for Crowd Counting ICCV 2019 Attention-Aware Sampling via Deep Reinforcement Learning for Action Recognition AAAI 2019 Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions CVPR 2019 Attention-Based Autism Spectrum Disorder Screening With Privileged Modality ICCV 2019 Attention-based Conditioning Methods for External Knowledge Integration ACL 2019 Attention-Based Dropout Layer for Weakly Supervised Object Localization CVPR 2019 Attention Bridging Network for Knowledge Transfer ICCV 2019 Attention Guided Imitation Learning and Reinforcement Learning AAAI 2019 Attention Is (not) All You Need for Commonsense Reasoning ACL 2019 AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification NeurIPS 2019 Attentive Neural Processes ICLR 2019 Attentive Region Embedding Network for Zero-Shot Learning CVPR 2019 Attentive Single-Tasking of Multiple Tasks CVPR 2019 Attract or Distract: Exploit the Margin of Open Set ICCV 2019 Attribute Attention for Semantic Disambiguation in Zero-Shot Learning ICCV 2019 Attributed Graph Clustering: A Deep Attentional Embedding Approach IJCAI 2019 Attribute-efficient learning of monomials over highly-correlated variables ALT 2019 A Two-Stream Mutual Attention Network for Semi-Supervised Biomedical Segmentation with Noisy Labels AAAI 2019