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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)

Feasible Arm Identification ICML 2018 Feature Generating Networks for Zero-Shot Learning CVPR 2018 Feature Representation of Short Utterances Based on Knowledge Distillation for Spoken Language Identification Interspeech 2018 Feature Space Transfer for Data Augmentation CVPR 2018 Features, Projections, and Representation Change for Generalized Planning IJCAI 2018 Feature Super-Resolution: Make Machine See More Clearly CVPR 2018 FEUP at SemEval-2018 Task 5: An Experimental Study of a Question Answering System SemEval 2018 FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation EMNLP 2018 Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces EMNLP 2018 Few-Shot Charge Prediction with Discriminative Legal Attributes COLING 2018 Few-shot Generative Modelling with Generative Matching Networks AISTATS 2018 Few-Shot Goal Inference for Visuomotor Learning and Planning CoRL 2018 Few-Shot Learning with Graph Neural Networks ICLR 2018 FFNet: Video Fast-Forwarding via Reinforcement Learning CVPR 2018 Fidelity-Weighted Learning ICLR 2018 Fighting Boredom in Recommender Systems with Linear Reinforcement Learning NeurIPS 2018 Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer ACL 2018 Finding "It": Weakly-Supervised Reference-Aware Visual Grounding in Instructional Videos CVPR 2018 Fine-Grained Emotion Detection in Health-Related Online Posts EMNLP 2018 Fine-Grained Temporal Orientation and its Relationship with Psycho-Demographic Correlates NAACL 2018 Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces IJCAI 2018 Firing Bandits: Optimizing Crowdfunding ICML 2018 FISH-MML: Fisher-HSIC Multi-View Metric Learning IJCAI 2018 Fitting a Putative Manifold to Noisy Data COLT 2018 Fixing a Broken ELBO ICML 2018