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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)

Empirical Evaluation of Resampling Procedures for Optimising SVM Hyperparameters JMLR 2017 Empirical Exploration of Novel Architectures and Objectives for Language Models Interspeech 2017 Emulating the Expert: Inverse Optimization through Online Learning ICML 2017 Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling EMNLP 2017 End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification IJCAI 2017 End-to-End Differentiable Adversarial Imitation Learning ICML 2017 End-to-End Learning of Semantic Grasping CoRL 2017 End-to-end Relation Extraction using Neural Networks and Markov Logic Networks EACL 2017 English Multiword Expression-aware Dependency Parsing Including Named Entities ACL 2017 Enhanced Feature Extraction for Speech Detection in Media Audio Interspeech 2017 Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective IJCAI 2017 Ensemble Sampling NeurIPS 2017 Equilibria in Ordinal Games: A Framework based on Possibility Theory. IJCAI 2017 Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach NeurIPS 2017 Estimating Code-Switching on Twitter with a Novel Generalized Word-Level Language Detection Technique ACL 2017 Evaluating Compound Splitters Extrinsically with Textual Entailment ACL 2017 Evaluating Hierarchies of Verb Argument Structure with Hierarchical Clustering EMNLP 2017 Evaluation by Association: A Systematic Study of Quantitative Word Association Evaluation EACL 2017 EX2: Exploration with Exemplar Models for Deep Reinforcement Learning NeurIPS 2017 Exclusivity-Consistency Regularized Multi-View Subspace Clustering CVPR 2017 Exclusivity Regularized Machine: A New Ensemble SVM Classifier IJCAI 2017 Expecting the Unexpected: Training Detectors for Unusual Pedestrians With Adversarial Imposters CVPR 2017 Expert Gate: Lifelong Learning With a Network of Experts CVPR 2017 Exploiting Document Level Information to Improve Event Detection via Recurrent Neural Networks IJCNLP 2017 Exploiting Eigenposteriors for Semi-Supervised Training of DNN Acoustic Models with Sequence Discrimination Interspeech 2017