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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)

Synthesized Classifiers for Zero-Shot Learning CVPR 2016 Tagger: Deep Unsupervised Perceptual Grouping NeurIPS 2016 TASTY: Interactive Entity Linking As-You-Type COLING 2016 Teaming Up: Making the Most of Diverse Representations for a Novel Personalized Speech Retrieval Application Interspeech 2016 Temporal Multimodal Learning in Audiovisual Speech Recognition CVPR 2016 Text-Dependent Audiovisual Synchrony Detection for Spoofing Detection in Mobile Person Recognition Interspeech 2016 TextPro-AL: An Active Learning Platform for Flexible and Efficient Production of Training Data for NLP Tasks COLING 2016 The Constrained Dantzig Selector with Enhanced Consistency JMLR 2016 The Information Sieve ICML 2016 The Knowledge Gradient for Sequential Decision Making with Stochastic Binary Feedbacks ICML 2016 The Label Complexity of Mixed-Initiative Classifier Training ICML 2016 The Multi-fidelity Multi-armed Bandit NeurIPS 2016 The Multiverse Loss for Robust Transfer Learning CVPR 2016 Theoretical Analysis of the Optimal Free Responses of Graph-Based SFA for the Design of Training Graphs JMLR 2016 Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning NeurIPS 2016 The Parallel Knowledge Gradient Method for Batch Bayesian Optimization NeurIPS 2016 The Solution Path Algorithm for Identity-Aware Multi-Object Tracking CVPR 2016 The Teaching Dimension of Linear Learners JMLR 2016 They Are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers CVPR 2016 Threshold Bandits, With and Without Censored Feedback NeurIPS 2016 Threshold Learning for Optimal Decision Making NeurIPS 2016 Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks Interspeech 2016 Towards Unifying Hamiltonian Monte Carlo and Slice Sampling NeurIPS 2016 Track and Segment: An Iterative Unsupervised Approach for Video Object Proposals CVPR 2016 Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection CVPR 2016