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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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20
220
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2000
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Papers (including subtopics)

Regressive Domain Adaptation for Unsupervised Keypoint Detection CVPR 2021 Regressive Ensemble for Machine Translation Quality Evaluation EMNLP 2021 Regret Bounds for Adaptive Nonlinear Control L4DC 2021 Regret Minimization Experience Replay in Off-Policy Reinforcement Learning NeurIPS 2021 Regret Minimization in Heavy-Tailed Bandits COLT 2021 Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach ICML 2021 Regularising Fisher Information Improves Cross-lingual Generalisation EMNLP 2021 Regularising Knowledge Transfer by Meta Functional Learning IJCAI 2021 Regularized ERM on random subspaces AISTATS 2021 Regularized Inverse Reinforcement Learning ICLR 2021 Regularized Policies are Reward Robust AISTATS 2021 Regularizing Attention Networks for Anomaly Detection in Visual Question Answering AAAI 2021 Regularizing Neural Networks via Adversarial Model Perturbation CVPR 2021 Regularizing Nighttime Weirdness: Efficient Self-Supervised Monocular Depth Estimation in the Dark ICCV 2021 Regulating algorithmic filtering on social media NeurIPS 2021 Regulating Greed Over Time in Multi-Armed Bandits JMLR 2021 Rehearsal Revealed: The Limits and Merits of Revisiting Samples in Continual Learning ICCV 2021 ReinforceBug: A Framework to Generate Adversarial Textual Examples NAACL 2021 Reinforced Attention for Few-Shot Learning and Beyond CVPR 2021 Reinforced Counterfactual Data Augmentation for Dual Sentiment Classification EMNLP 2021 Reinforced History Backtracking for Conversational Question Answering AAAI 2021 Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective AAAI 2021 Reinforced Multi-Teacher Selection for Knowledge Distillation AAAI 2021 Reinforcement Based Learning on Classification Task Yields Better Generalization and Adversarial Accuracy (Student Abstract) AAAI 2021 Reinforcement Learning-based Product Delivery Frequency Control AAAI 2021