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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
477
4,652
9,258
2000
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Papers (including subtopics)

L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise NeurIPS 2019 Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints NeurIPS 2019 Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge NeurIPS 2019 Learning 3D Human Dynamics From Video CVPR 2019 Learning about an exponential amount of conditional distributions NeurIPS 2019 Learning Across Tasks and Domains ICCV 2019 Learning Action Representations for Reinforcement Learning ICML 2019 Learning a Deep ConvNet for Multi-Label Classification With Partial Labels CVPR 2019 Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual Discriminators IJCAI 2019 Learning Alignment for Multimodal Emotion Recognition from Speech Interspeech 2019 Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems ACL 2019 Learning and Data Selection in Big Datasets ICML 2019 Learning and the Unknown: Surveying Steps toward Open World Recognition AAAI 2019 Learning an Effective Equivariant 3D Descriptor Without Supervision ICCV 2019 Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing AAAI 2019 Learning Attribute-Specific Representations for Visual Tracking AAAI 2019 Learning Auctions with Robust Incentive Guarantees NeurIPS 2019 Learning a Unified Classifier Incrementally via Rebalancing CVPR 2019 Learning a Unified Named Entity Tagger from Multiple Partially Annotated Corpora for Efficient Adaptation CoNLL 2019 Learning a Visual Tracker from a Single Movie without Annotation AAAI 2019 Learning-Based Frequency Estimation Algorithms ICLR 2019 Learning Belief Representations for Imitation Learning in POMDPs UAI 2019 Learning by Cheating CoRL 2019 Learning by Unsupervised Nonlinear Diffusion JMLR 2019 Learning Channel-Wise Interactions for Binary Convolutional Neural Networks CVPR 2019