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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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Papers (including subtopics)

Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering AAAI 2019 Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension NAACL 2019 Multi-Task, Multi-Channel, Multi-Input Learning for Mental Illness Detection using Social Media Text EMNLP 2019 Multi-Task Multi-Resolution Char-to-BPE Cross-Attention Decoder for End-to-End Speech Recognition Interspeech 2019 Multi-Task Networks with Universe, Group, and Task Feature Learning ACL 2019 Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations CVPR 2019 Multi-Team: A Multi-attention, Multi-decoder Approach to Morphological Analysis. ACL 2019 Multi-turn Dialogue Response Generation in an Adversarial Learning Framework ACL 2019 Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching ICML 2019 Multivariate Time Series Prediction Based on Optimized Temporal Convolutional Networks with Stacked Auto-encoders ACML 2019 Multi-View Active Learning for Video Recommendation IJCAI 2019 Multi-View Anomaly Detection: Neighborhood in Locality Matters AAAI 2019 Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection EMNLP 2019 Multi-View Information-Theoretic Co-Clustering for Co-Occurrence Data AAAI 2019 Multi-View Learning from Disparate Sources for Poverty Mapping AAAI 2019 Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization AAAI 2019 Multi-View Multiple Clustering IJCAI 2019 Multi-view Spectral Clustering Network IJCAI 2019 Multiway clustering via tensor block models NeurIPS 2019 Multi-Winner Contests for Strategic Diffusion in Social Networks AAAI 2019 Musical Composition Style Transfer via Disentangled Timbre Representations IJCAI 2019 Mutual Information Maximization for Simple and Accurate Part-Of-Speech Induction NAACL 2019 Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning CoRL 2019 Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification CVPR 2019 MVTec AD -- A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection CVPR 2019