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Learning Types

56,253 papers (3 classified directly here)

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)
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Papers (including subtopics)

Hierarchical Multi-label Classification of Text with Capsule Networks ACL 2019 Hierarchical Optimal Transport for Multimodal Distribution Alignment NeurIPS 2019 Hierarchical Pooling Structure for Weakly Labeled Sound Event Detection Interspeech 2019 Hierarchical Reinforcement Learning for Course Recommendation in MOOCs AAAI 2019 Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization ICLR 2019 Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards NeurIPS 2019 Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies ICLR 2019 Hierarchical Text Classification with Reinforced Label Assignment EMNLP 2019 Hierarchical Transfer Learning for Multi-label Text Classification ACL 2019 High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes NeurIPS 2019 High-Fidelity Image Generation With Fewer Labels ICML 2019 High-Quality Self-Supervised Deep Image Denoising NeurIPS 2019 HighRES: Highlight-based Reference-less Evaluation of Summarization ACL 2019 HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition NAACL 2019 Hilbert-Based Generative Defense for Adversarial Examples ICCV 2019 Hindsight Credit Assignment NeurIPS 2019 Historical Text Normalization with Delayed Rewards ACL 2019 Hitachi at MRP 2019: Unified Encoder-to-Biaffine Network for Cross-Framework Meaning Representation Parsing CoNLL 2019 HoloGAN: Unsupervised Learning of 3D Representations From Natural Images ICCV 2019 Homomorphic Latent Space Interpolation for Unpaired Image-To-Image Translation CVPR 2019 Horizontal Pyramid Matching for Person Re-Identification AAAI 2019 How does Disagreement Help Generalization against Label Corruption? ICML 2019 How Large Are Lions? Inducing Distributions over Quantitative Attributes ACL 2019 How Many Users Are Enough? Exploring Semi-Supervision and Stylometric Features to Uncover a Russian Troll Farm EMNLP 2019 How Multilingual is Multilingual BERT? ACL 2019