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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
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477
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2000
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Papers (including subtopics)

Collaborative Classification from Noisy Labels AISTATS 2021 Collaborative Data Relabeling for Robust and Diverse Voice Apps Recommendation in Intelligent Personal Assistants EMNLP 2021 Collaborative Group Learning AAAI 2021 Collaborative Learning of Bidirectional Decoders for Unsupervised Text Style Transfer EMNLP 2021 Collaborative Learning With Disentangled Features for Zero-Shot Domain Adaptation ICCV 2021 Collaborative Training of Acoustic Encoders for Speech Recognition Interspeech 2021 Collaborative Unsupervised Visual Representation Learning From Decentralized Data ICCV 2021 ColorRL: Reinforced Coloring for End-to-End Instance Segmentation CVPR 2021 CoMatch: Semi-Supervised Learning With Contrastive Graph Regularization ICCV 2021 Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification NeurIPS 2021 Combinatorial Blocking Bandits with Stochastic Delays ICML 2021 Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms AISTATS 2021 Combinatorial Pure Exploration with Bottleneck Reward Function NeurIPS 2021 Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback AAAI 2021 Combined Depth Space Based Architecture Search for Person Re-Identification CVPR 2021 Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification EACL 2021 Combining Label Propagation and Simple Models out-performs Graph Neural Networks ICLR 2021 Combining Machine Learning & Reasoning for Biodiversity Data Intelligence AAAI 2021 Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning ICML 2021 Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization AAAI 2021 Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu IJCAI 2021 Combining Weakly Supervised ML Techniques for Low-Resource NLU NAACL 2021 Come hither or go away? Recognising pre-electoral coalition signals in the news EMNLP 2021 (Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs AAAI 2021 Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection AAAI 2021