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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
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2000
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Papers (including subtopics)

Predicting Human Activities from User-Generated Content ACL 2019 Predicting Humor by Learning from Time-Aligned Comments Interspeech 2019 Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning ACL 2019 Predicting Malware Attributes from Cybersecurity Texts NAACL 2019 Predicting the Leading Political Ideology of YouTube Channels Using Acoustic, Textual, and Metadata Information Interspeech 2019 Predicting the Politics of an Image Using Webly Supervised Data NeurIPS 2019 Predicting the Visual Focus of Attention in Multi-Person Discussion Videos IJCAI 2019 Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data AAAI 2019 Prediction of Mild Cognitive Impairment Conversion Using Auxiliary Information IJCAI 2019 Predictive Auxiliary Variational Autoencoder for Representation Learning of Global Speech Characteristics Interspeech 2019 Predictive Safety Network for Resource-constrained Multi-agent Systems CoRL 2019 Predict then Propagate: Graph Neural Networks meet Personalized PageRank ICLR 2019 Preference-Aware Task Assignment in On-Demand Taxi Dispatching: An Online Stable Matching Approach AAAI 2019 Preference-Aware Task Assignment in Spatial Crowdsourcing AAAI 2019 Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models NeurIPS 2019 Preference Elicitation and Explanation in Iterative Planning IJCAI 2019 Presence-Only Geographical Priors for Fine-Grained Image Classification ICCV 2019 Pretrained Ensemble Learning for Fine-Grained Propaganda Detection EMNLP 2019 Pretrained Language Models for Sequential Sentence Classification EMNLP 2019 Pre-training of Graph Augmented Transformers for Medication Recommendation IJCAI 2019 Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation ICCV 2019 Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors ICLR 2019 Prior-Free Dynamic Auctions with Low Regret Buyers NeurIPS 2019 Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion? Interspeech 2019 Privacy-Preserving Q-Learning with Functional Noise in Continuous Spaces NeurIPS 2019