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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)

Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows ICML 2020 Release the Power of Online-Training for Robust Visual Tracking AAAI 2020 Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach AAAI 2020 Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks ICML 2020 Reliable Fidelity and Diversity Metrics for Generative Models ICML 2020 Reliable Graph Neural Networks via Robust Aggregation NeurIPS 2020 Reliable Multilabel Classification: Prediction with Partial Abstention AAAI 2020 ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring ICLR 2020 Repeated Multimarket Contact with Private Monitoring: A Belief-Free Approach AAAI 2020 Repetitive Reprediction Deep Decipher for Semi-Supervised Learning AAAI 2020 Representation Learning for Discovering Phonemic Tone Contours ACL 2020 Representation Learning via Adversarially-Contrastive Optimal Transport ICML 2020 Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data AAAI 2020 Representative Solutions for Bi-Objective Optimisation AAAI 2020 Research Replication Prediction Using Weakly Supervised Learning EMNLP 2020 Residual Continual Learning AAAI 2020 Residual Energy-Based Models for Text Generation ICLR 2020 Re-solve it: simulating the acquisition of core semantic competences from small data CoNLL 2020 Resource Constrained Dialog Policy Learning Via Differentiable Inductive Logic Programming COLING 2020 Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation ACL 2020 Response Selection for Multi-Party Conversations with Dynamic Topic Tracking EMNLP 2020 Responsive Safety in Reinforcement Learning by PID Lagrangian Methods ICML 2020 Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits NeurIPS 2020 Restoring Negative Information in Few-Shot Object Detection NeurIPS 2020 REST: Performance Improvement of a Black Box Model via RL-Based Spatial Transformation AAAI 2020