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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)

On Importance Sampling-Based Evaluation of Latent Language Models ACL 2020 On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks CVPR 2020 On Learning Causal Structures from Non-Experimental Data without Any Faithfulness Assumption ALT 2020 On Learning Ising Models under Huber's Contamination Model NeurIPS 2020 Online Active Learning of Reject Option Classifiers AAAI 2020 Online Adaptation for Consistent Mesh Reconstruction in the Wild NeurIPS 2020 Online Agnostic Boosting via Regret Minimization NeurIPS 2020 Online Algorithm for Unsupervised Sequential Selection with Contextual Information NeurIPS 2020 Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice NeurIPS 2020 Online Bayesian Persuasion NeurIPS 2020 Online Binary Space Partitioning Forests AISTATS 2020 Online Continual Learning from Imbalanced Data ICML 2020 Online Conversation Disentanglement with Pointer Networks EMNLP 2020 Online Convex Optimization Over Erdos-Renyi Random Networks NeurIPS 2020 Online Data Poisoning Attacks L4DC 2020 Online Deep Clustering for Unsupervised Representation Learning CVPR 2020 Online Depth Learning Against Forgetting in Monocular Videos CVPR 2020 Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments AAAI 2020 Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning NeurIPS 2020 Online Hashing with Efficient Updating of Binary Codes AAAI 2020 Online Knowledge Distillation via Collaborative Learning CVPR 2020 Online Learned Continual Compression with Adaptive Quantization Modules ICML 2020 Online Learning for Active Cache Synchronization ICML 2020 Online Learning in Changing Environments IJCAI 2020 Online Learning in Contextual Bandits using Gated Linear Networks NeurIPS 2020