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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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220
477
4,652
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2000
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Papers (including subtopics)

A Neural Network Approach for Birds of a Feather Solvability Prediction AAAI 2019 A Neurobiological Evaluation Metric for Neural Network Model Search CVPR 2019 A New Defense Against Adversarial Images: Turning a Weakness into a Strength NeurIPS 2019 A New Distribution on the Simplex with Auto-Encoding Applications NeurIPS 2019 A new dog learns old tricks: RL finds classic optimization algorithms ICLR 2019 A New Ensemble Learning Framework for 3D Biomedical Image Segmentation AAAI 2019 A new evaluation framework for topic modeling algorithms based on synthetic corpora AISTATS 2019 A New GAN-Based End-to-End TTS Training Algorithm Interspeech 2019 A New Perspective on Pool-Based Active Classification and False-Discovery Control NeurIPS 2019 An Imitation Learning Approach to Unsupervised Parsing ACL 2019 An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local Search AAAI 2019 An Incremental Turn-Taking Model for Task-Oriented Dialog Systems Interspeech 2019 An Information-Theoretic Approach to Minimax Regret in Partial Monitoring COLT 2019 An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction NAACL 2019 An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis ACL 2019 An Investigation into On-Device Personalization of End-to-End Automatic Speech Recognition Models Interspeech 2019 An Investigation of Deep Learning Systems for Suicide Risk Assessment NAACL 2019 An Investigation of Transfer Learning-Based Sentiment Analysis in Japanese ACL 2019 An Iterative and Cooperative Top-Down and Bottom-Up Inference Network for Salient Object Detection CVPR 2019 Anomaly Detection Using Autoencoders in High Performance Computing Systems AAAI 2019 Anomaly Detection With Multiple-Hypotheses Predictions ICML 2019 An Open-World Extension to Knowledge Graph Completion Models AAAI 2019 An Optimal Algorithm for Stochastic and Adversarial Bandits AISTATS 2019 An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning AAAI 2019 A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits NeurIPS 2019