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Learning Types

56,253 papers (3 classified directly here)

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)
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Papers (including subtopics)

Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods EMNLP 2017 SPFTN: A Self-Paced Fine-Tuning Network for Segmenting Objects in Weakly Labelled Videos CVPR 2017 SPLICE: Fully Tractable Hierarchical Extension of ICA with Pooling ICML 2017 Split and Rephrase EMNLP 2017 Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction CVPR 2017 Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning ICML 2017 Stabilizing Training of Generative Adversarial Networks through Regularization NeurIPS 2017 Stacked Similarity-Aware Autoencoders IJCAI 2017 State Aware Imitation Learning NeurIPS 2017 STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling CVPR 2017 Steering Output Style and Topic in Neural Response Generation EMNLP 2017 ST-GAN: Unsupervised Facial Image Semantic Transformation Using Generative Adversarial Networks ACML 2017 Stochastic Gradient MCMC Methods for Hidden Markov Models ICML 2017 Stochastic Online Anomaly Analysis for Streaming Time Series IJCAI 2017 Storage Fit Learning with Unlabeled Data IJCAI 2017 Streaming Sparse Gaussian Process Approximations NeurIPS 2017 Structured Generative Adversarial Networks NeurIPS 2017 STS-UHH at SemEval-2017 Task 1: Scoring Semantic Textual Similarity Using Supervised and Unsupervised Ensemble SemEval 2017 Studying the Link Between Inter-Speaker Coordination and Speech Imitation Through Human-Machine Interactions Interspeech 2017 Style Transfer from Non-Parallel Text by Cross-Alignment NeurIPS 2017 Subject-Independent Classification of Japanese Spoken Sentences by Multiple Frequency Bands Phase Pattern of EEG Response During Speech Perception Interspeech 2017 Subspace Clustering via Tangent Cones NeurIPS 2017 Substring Frequency Features for Segmentation of Japanese Katakana Words with Unlabeled Corpora IJCNLP 2017 Successor Features for Transfer in Reinforcement Learning NeurIPS 2017 Summarizing Lengthy Questions IJCNLP 2017