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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)

AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Discounted Markov Decision Processes with Near-Optimal Sample Complexity AISTATS 2020 A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound AAAI 2020 A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning ICLR 2020 Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset AAAI 2020 A Test Suite for Evaluating Discourse Phenomena in Document-level Neural Machine Translation AACL 2020 A Tight Lower Bound and Efficient Reduction for Swap Regret NeurIPS 2020 A Topological Filter for Learning with Label Noise NeurIPS 2020 A Transductive Approach for Video Object Segmentation CVPR 2020 Attack of the Tails: Yes, You Really Can Backdoor Federated Learning NeurIPS 2020 Attacks Which Do Not Kill Training Make Adversarial Learning Stronger ICML 2020 Attack to Explain Deep Representation CVPR 2020 AttAN: Attention Adversarial Networks for 3D Point Cloud Semantic Segmentation IJCAI 2020 Attending the Emotions to Detect Online Abusive Language EMNLP 2020 Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes CoRL 2020 Attention-Based Network for Weak Labels in Neonatal Seizure Detection MLHC 2020 Attention-Based Speaker Embeddings for One-Shot Voice Conversion Interspeech 2020 Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization CVPR 2020 Attention-Driven Cropping for Very High Resolution Facial Landmark Detection CVPR 2020 Attention-Informed Mixed-Language Training for Zero-Shot Cross-Lingual Task-Oriented Dialogue Systems AAAI 2020 Attention-Privileged Reinforcement Learning CoRL 2020 Attention Word Embedding COLING 2020 Attentive Adversarial Network for Large-Scale Sleep Staging MLHC 2020 Attentive Experience Replay AAAI 2020 Attentively Embracing Noise for Robust Latent Representation in BERT COLING 2020 Attentive User-Engaged Adversarial Neural Network for Community Question Answering AAAI 2020