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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
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4,652
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2000
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Papers (including subtopics)

Safe Reinforcement Learning with Natural Language Constraints NeurIPS 2021 Safe Search for Stackelberg Equilibria in Extensive-Form Games AAAI 2021 Safety-Aware Motion Prediction With Unseen Vehicles for Autonomous Driving ICCV 2021 Safe Weakly Supervised Learning IJCAI 2021 SagaNet: A Small Sample Gated Network for Pediatric Cancer Diagnosis ICML 2021 SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning ICML 2021 SALAD: Self-Assessment Learning for Action Detection WACV 2021 Saliency-Associated Object Tracking ICCV 2021 Saliency-based Multi-View Mixed Language Training for Zero-shot Cross-lingual Classification EMNLP 2021 SALNet: Semi-supervised Few-Shot Text Classification with Attention-based Lexicon Construction AAAI 2021 Same Same but DifferNet: Semi-Supervised Defect Detection With Normalizing Flows WACV 2021 Sample Complexity Bounds for Active Ranking from Multi-wise Comparisons NeurIPS 2021 Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms AISTATS 2021 Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems L4DC 2021 Sample Complexity of Policy Gradient Finding Second-Order Stationary Points AAAI 2021 Sample Complexity of Robust Linear Classification on Separated Data ICML 2021 Sample-Efficient Automated Deep Reinforcement Learning ICLR 2021 Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings ICCV 2021 Sample efficient learning of image-based diagnostic classifiers via probabilistic labels AISTATS 2021 Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games NeurIPS 2021 Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model NeurIPS 2021 Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity ICML 2021 Sample Efficient Reinforcement Learning with REINFORCE AAAI 2021 Sample Elicitation AISTATS 2021 Sample Selection for Universal Domain Adaptation AAAI 2021