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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)

ASAC: Active Sensing using Actor-Critic models MLHC 2019 A Saliency-Based Attention LSTM Model for Cognitive Load Classification from Speech Interspeech 2019 A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection EMNLP 2019 A Self-Training Approach for Short Text Clustering ACL 2019 A Semi-Supervised Stable Variational Network for Promoting Replier-Consistency in Dialogue Generation EMNLP 2019 A Sequential Set Generation Method for Predicting Set-Valued Outputs AAAI 2019 A Similarity-preserving Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit NeurIPS 2019 A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning ACL 2019 A Simple Baseline for Audio-Visual Scene-Aware Dialog CVPR 2019 Asking Easy Questions: A User-Friendly Approach to Active Reward Learning CoRL 2019 Asking the Right Question: Inferring Advice-Seeking Intentions from Personal Narratives NAACL 2019 A Solvable High-Dimensional Model of GAN NeurIPS 2019 Assessing Arabic Weblog Credibility via Deep Co-learning ACL 2019 Assessing Disparate Impact of Personalized Interventions: Identifiability and Bounds NeurIPS 2019 A Streamlined Method for Sourcing Discourse-level Argumentation Annotations from the Crowd NAACL 2019 A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning NeurIPS 2019 A Summarization System for Scientific Documents EMNLP 2019 A Surprisingly Robust Trick for the Winograd Schema Challenge ACL 2019 A Survey of Reinforcement Learning Informed by Natural Language IJCAI 2019 Asymptotically Optimal Planning for Non-Myopic Multi-Robot Information Gathering RSS 2019 A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling EMNLP 2019 A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages EMNLP 2019 At a Glance: The Impact of Gaze Aggregation Views on Syntactic Tagging EMNLP 2019 A Test Suite and Manual Evaluation of Document-Level NMT at WMT19 ACL 2019 A Theoretical Analysis of Contrastive Unsupervised Representation Learning ICML 2019