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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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2000
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Papers (including subtopics)

Importance of Self-Attention for Sentiment Analysis EMNLP 2018 Importance Sampling for Minibatches JMLR 2018 Importance Weighted Adversarial Nets for Partial Domain Adaptation CVPR 2018 Importance Weighted Transfer of Samples in Reinforcement Learning ICML 2018 Impression Allocation for Combating Fraud in E-commerce Via Deep Reinforcement Learning with Action Norm Penalty IJCAI 2018 Improved Algorithms for Collaborative PAC Learning NeurIPS 2018 Improved large-scale graph learning through ridge spectral sparsification ICML 2018 Improved Network Robustness with Adversary Critic NeurIPS 2018 Improved Regret Bounds for Thompson Sampling in Linear Quadratic Control Problems ICML 2018 Improved Training for Online End-to-end Speech Recognition Systems Interspeech 2018 Improved Training of Generative Adversarial Networks Using Representative Features ICML 2018 Improvements to an Automated Content Scoring System for Spoken CALL Responses: the ETS Submission to the Second Spoken CALL Shared Task Interspeech 2018 Improvements to Context Based Self-Supervised Learning CVPR 2018 Improving Abstraction in Text Summarization EMNLP 2018 Improving Character-Based Decoding Using Target-Side Morphological Information for Neural Machine Translation NAACL 2018 Improving Entity Linking by Modeling Latent Relations between Mentions ACL 2018 Improving Entity Recommendation with Search Log and Multi-Task Learning IJCAI 2018 Improving Event Coreference Resolution by Modeling Correlations between Event Coreference Chains and Document Topic Structures ACL 2018 Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents NeurIPS 2018 Improving Feature Extraction for Pathology Reports with Precise Negation Scope Detection COLING 2018 Improving GAN Training via Binarized Representation Entropy (BRE) Regularization ICLR 2018 Improving Implicit Recommender Systems with View Data IJCAI 2018 Improving Landmark Localization With Semi-Supervised Learning CVPR 2018 Improving Language Modeling with an Adversarial Critic for Automatic Speech Recognition Interspeech 2018 Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning IJCAI 2018