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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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Papers (including subtopics)

Task Transfer by Preference-Based Cost Learning AAAI 2019 Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments CoRL 2019 Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection ICCV 2019 Teaching a black-box learner ICML 2019 Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration IJCAI 2019 Teaching Machines to Extract Main Content for Machine Reading Comprehension AAAI 2019 Teaching Multiple Concepts to a Forgetful Learner NeurIPS 2019 Team yeon-zi at SemEval-2019 Task 4: Hyperpartisan News Detection by De-noising Weakly-labeled Data SemEval 2019 Telling the Whole Story: A Manually Annotated Chinese Dataset for the Analysis of Humor in Jokes EMNLP 2019 Temporal Anomaly Detection: Calibrating the Surprise AAAI 2019 Temporal Cycle-Consistency Learning CVPR 2019 Temporally-Aware Acoustic Unit Discovery for Zerospeech 2019 Challenge Interspeech 2019 Temporal Structure Mining for Weakly Supervised Action Detection ICCV 2019 Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping CVPR 2019 Tensor Monte Carlo: Particle Methods for the GPU era NeurIPS 2019 Testing the Generalization Power of Neural Network Models across NLI Benchmarks ACL 2019 Text-based inference of moral sentiment change EMNLP 2019 Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension ACL 2019 Text Categorization by Learning Predominant Sense of Words as Auxiliary Task ACL 2019 Text Classification with Few Examples using Controlled Generalization NAACL 2019 Text Emotion Distribution Learning from Small Sample: A Meta-Learning Approach EMNLP 2019 Text Length Adaptation in Sentiment Classification ACML 2019 Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems NAACL 2019 The 2019 Inaugural Fearless Steps Challenge: A Giant Leap for Naturalistic Audio Interspeech 2019 The Adversarial Attack and Detection under the Fisher Information Metric AAAI 2019