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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)

Event-Related Bias Removal for Real-time Disaster Events EMNLP 2020 EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning CVPR 2020 Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder ACL 2020 Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning ICLR 2020 Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination ICML 2020 EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs AAAI 2020 Evolving Losses for Unsupervised Video Representation Learning CVPR 2020 Exact Passive-Aggressive Algorithms for Multiclass Classification Using Bandit Feedbacks ACML 2020 Exact Recovery of Mangled Clusters with Same-Cluster Queries NeurIPS 2020 Examination and Extension of Strategies for Improving Personalized Language Modeling via Interpolation ACL 2020 Exchangeable Generative Models with Flow Scans AAAI 2020 Exclusive Hierarchical Decoding for Deep Keyphrase Generation ACL 2020 Exemplar Guided Active Learning NeurIPS 2020 Explainable Data Decompositions AAAI 2020 Explainable Reinforcement Learning through a Causal Lens AAAI 2020 Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA AAAI 2020 Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition CVPR 2020 Exploiting Joint Robustness to Adversarial Perturbations CVPR 2020 Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning NeurIPS 2020 Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition AAAI 2020 Exploiting Multi-Modal Features from Pre-Trained Networks for Alzheimer’s Dementia Recognition Interspeech 2020 Exploiting Mutual Information for Substructure-aware Graph Representation Learning IJCAI 2020 Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization COLING 2020 Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking AAAI 2020 Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning EMNLP 2020