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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
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2000
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Papers (including subtopics)

Online Learning to Rank with Top-k Feedback JMLR 2017 Online Learning with Local Permutations and Delayed Feedback ICML 2017 Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals CoRL 2017 Online multiclass boosting NeurIPS 2017 Online Multitask Relative Similarity Learning IJCAI 2017 Online Nonnegative Matrix Factorization with General Divergences AISTATS 2017 Online Prediction with Selfish Experts NeurIPS 2017 Online Summarization via Submodular and Convex Optimization CVPR 2017 On Multi-Domain Training and Adaptation of End-to-End RNN Acoustic Models for Distant Speech Recognition Interspeech 2017 On Optimal Generalizability in Parametric Learning NeurIPS 2017 On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models NeurIPS 2017 On the Complexity of Learning from Label Proportions IJCAI 2017 On the Consistency of Quick Shift NeurIPS 2017 On the Influence of Modifying Magnitude and Phase Spectrum to Enhance Noisy Speech Signals Interspeech 2017 On the Linguistic Relevance of Speech Units Learned by Unsupervised Acoustic Modeling Interspeech 2017 On the Need of Cross Validation for Discourse Relation Classification EACL 2017 On the Optimization Landscape of Tensor Decompositions NeurIPS 2017 Open Category Classification by Adversarial Sample Generation IJCAI 2017 Opportunistic Active Learning for Grounding Natural Language Descriptions CoRL 2017 Optimal Posted-Price Mechanism in Microtask Crowdsourcing IJCAI 2017 Optimistic posterior sampling for reinforcement learning: worst-case regret bounds NeurIPS 2017 Optimized Time Series Filters for Detecting Laughter and Filler Events Interspeech 2017 Optimizing Long-term Predictions for Model-based Policy Search CoRL 2017 Ordinal Zero-Shot Learning IJCAI 2017 Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization ACL 2017