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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)

Coarse-to-Fine Query Focused Multi-Document Summarization EMNLP 2020 COBRA: Context-Aware Bernoulli Neural Networks for Reputation Assessment AAAI 2020 CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines AAAI 2020 CODA-19: Using a Non-Expert Crowd to Annotate Research Aspects on 10,000+ Abstracts in the COVID-19 Open Research Dataset ACL 2020 Co-GCN for Multi-View Semi-Supervised Learning AAAI 2020 COGS: A Compositional Generalization Challenge Based on Semantic Interpretation EMNLP 2020 Coherent Hierarchical Multi-Label Classification Networks NeurIPS 2020 ColdGANs: Taming Language GANs with Cautious Sampling Strategies NeurIPS 2020 Cold-start Active Learning through Self-supervised Language Modeling EMNLP 2020 Cold-Start and Interpretability: Turning Regular Expressions into Trainable Recurrent Neural Networks EMNLP 2020 CoLi at UdS at SemEval-2020 Task 12: Offensive Tweet Detection with Ensembling SemEval 2020 Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning AAAI 2020 Collaborative Sampling in Generative Adversarial Networks AAAI 2020 Collapsing Bandits and Their Application to Public Health Intervention NeurIPS 2020 Color Composition Similarity and Its Application in Fine-grained Similarity WACV 2020 ColorFool: Semantic Adversarial Colorization CVPR 2020 Combating False Negatives in Adversarial Imitation Learning (Student Abstract) AAAI 2020 Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization CVPR 2020 Combinational Class Activation Maps for Weakly Supervised Object Localization WACV 2020 Combination of Neural Machine Translation Systems at WMT20 EMNLP 2020 Combinatorial Multi-Armed Bandits with Concave Rewards and Fairness Constraints IJCAI 2020 Combining BERT with Static Word Embeddings for Categorizing Social Media EMNLP 2020 Combining Real-Time Segmentation and Classification of Rehabilitation Exercises with LSTM Networks and Pointwise Boosting AAAI 2020 Combining ResNet and Transformer for Chinese Grammatical Error Diagnosis AACL 2020 Combining Self-Training and Self-Supervised Learning for Unsupervised Disfluency Detection EMNLP 2020