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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)

Multi-Task Learning using Dynamic Task Weighting for Conversational Question Answering EMNLP 2020 Multi-Task Learning with Generative Adversarial Training for Multi-Passage Machine Reading Comprehension AAAI 2020 Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization ICML 2020 Multi-Task Neural Model for Agglutinative Language Translation ACL 2020 Multi-Task Self-Supervised Learning for Disfluency Detection AAAI 2020 Multi-Task Sequence Prediction For Tunisian Arabizi Multi-Level Annotation COLING 2020 Multi-Task Siamese Neural Network for Improving Replay Attack Detection Interspeech 2020 Multi-turn Response Selection using Dialogue Dependency Relations EMNLP 2020 Multi-Type Resource Allocation with Partial Preferences AAAI 2020 Multi-View Attribute Graph Convolution Networks for Clustering IJCAI 2020 Multi-View Clustering in Latent Embedding Space AAAI 2020 Multi-View Consistency for Relation Extraction via Mutual Information and Structure Prediction AAAI 2020 Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation CVPR 2020 Multiview Co-segmentation for Wide Baseline Images using Cross-view Supervision WACV 2020 Multi-View Deep Attention Network for Reinforcement Learning (Student Abstract) AAAI 2020 Multi-View Partial Multi-Label Learning with Graph-Based Disambiguation AAAI 2020 Multiview Supervision By Registration WACV 2020 Multi-Word Lexical Simplification COLING 2020 MultiWOZ 2.2 : A Dialogue Dataset with Additional Annotation Corrections and State Tracking Baselines ACL 2020 MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering EMNLP 2020 MuTual: A Dataset for Multi-Turn Dialogue Reasoning ACL 2020 Mutual exclusivity as a challenge for deep neural networks NeurIPS 2020 Mutual information deep regularization for semi-supervised segmentation MIDL 2020 Mutual Information Estimation using LSH Sampling IJCAI 2020 Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification ICLR 2020