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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)

Exploiting Sample Correlation for Crowd Counting With Multi-Expert Network ICCV 2021 Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification AAAI 2021 Exploiting structured data for learning contagious diseases under incomplete testing ICML 2021 Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation NeurIPS 2021 Exploiting Twitter as Source of Large Corpora of Weakly Similar Pairs for Semantic Sentence Embeddings EMNLP 2021 Exploiting Unlabeled Data via Partial Label Assignment for Multi-Class Semi-Supervised Learning AAAI 2021 Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models ACL 2021 Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework AAAI 2021 Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality NeurIPS 2021 Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory AAAI 2021 Exploration via State influence Modeling AAAI 2021 Exploratory Machine Learning with Unknown Unknowns AAAI 2021 Exploratory Model Analysis Using Data-Driven Neuron Representations EMNLP 2021 Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models AISTATS 2021 Explore Visual Concept Formation for Image Classification ICML 2021 Explore wav2vec 2.0 for Mispronunciation Detection Interspeech 2021 Exploring Adversarial Fake Images on Face Manifold CVPR 2021 Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving CoRL 2021 Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation CVPR 2021 Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks NeurIPS 2021 Exploring Balanced Feature Spaces for Representation Learning ICLR 2021 Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning CVPR 2021 Exploring Cross-Image Pixel Contrast for Semantic Segmentation ICCV 2021 Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts CVPR 2021 Exploring Decomposition for Table-based Fact Verification EMNLP 2021