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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)

Distant Supervision for Polyphone Disambiguation in Mandarin Chinese Interspeech 2020 Distill and Replay for Continual Language Learning COLING 2020 Distilled Semantics for Comprehensive Scene Understanding from Videos CVPR 2020 Distilling Cross-Task Knowledge via Relationship Matching CVPR 2020 Distilling Effective Supervision From Severe Label Noise CVPR 2020 Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction AAAI 2020 Distilling Structured Knowledge for Text-Based Relational Reasoning EMNLP 2020 Distortion Agnostic Deep Watermarking CVPR 2020 Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication ICLR 2020 Distributed Minimum Error Entropy Algorithms JMLR 2020 Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach L4DC 2020 Distributed Representations for Arithmetic Word Problems AAAI 2020 Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning NeurIPS 2020 Distributionally Robust Counterfactual Risk Minimization AAAI 2020 Distributionally Robust Federated Averaging NeurIPS 2020 Distributionally Robust Local Non-parametric Conditional Estimation NeurIPS 2020 Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits ICML 2020 Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning CVPR 2020 Divergence-Based Motivation for Online EM and Combining Hidden Variable Models UAI 2020 Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation EMNLP 2020 Diverse Image Generation via Self-Conditioned GANs CVPR 2020 Diverse Keyphrase Generation with Neural Unlikelihood Training COLING 2020 Diversified Interactive Recommendation with Implicit Feedback AAAI 2020 Diversified Multiple Instance Learning for Document-Level Multi-Aspect Sentiment Classification EMNLP 2020 Diversifying Dialogue Generation with Non-Conversational Text ACL 2020