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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)

MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models MIDL 2021 Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data NeurIPS 2021 Model Agnostic Answer Reranking System for Adversarial Question Answering EACL 2021 Model-Agnostic Fits for Understanding Information Seeking Patterns in Humans AAAI 2021 Model-Aware Gesture-to-Gesture Translation CVPR 2021 Model-Based 3D Hand Reconstruction via Self-Supervised Learning CVPR 2021 Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts IJCAI 2021 Model-Contrastive Federated Learning CVPR 2021 Model Extraction and Adversarial Transferability, Your BERT is Vulnerable! NAACL 2021 Model-Free and Model-Based Policy Evaluation when Causality is Uncertain ICML 2021 Modeling and Training Strategies for Language Recognition Systems Interspeech 2021 Modeling Concentrated Cross-Attention for Neural Machine Translation with Gaussian Mixture Model EMNLP 2021 Modeling Dialectal Variation for Swiss German Automatic Speech Recognition Interspeech 2021 Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning ACL 2021 Modeling Entity Knowledge for Fact Verification EMNLP 2021 Modeling financial uncertainty with multivariate temporal entropy-based curriculums UAI 2021 Modeling Hierarchical Structures with Continuous Recursive Neural Networks ICML 2021 Modeling Multi-Label Action Dependencies for Temporal Action Localization CVPR 2021 Modeling Profanity and Hate Speech in Social Media with Semantic Subspaces ACL 2021 Modeling Risky Choices in Unknown Environments ACML 2021 Modeling the Compatibility of Stem Tracks to Generate Music Mashups AAAI 2021 Modeling the Severity of Complaints in Social Media NAACL 2021 Modelling Context Emotions using Multi-task Learning for Emotion Controlled Dialog Generation EACL 2021 Modelling Neighbor Relation in Joint Space-Time Graph for Video Correspondence Learning ICCV 2021 Model Linkage Selection for Cooperative Learning JMLR 2021