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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

Hierarchical Modeling of Global Context for Document-Level Neural Machine Translation EMNLP 2019 Hierarchical Multi-label Classification of Text with Capsule Networks ACL 2019 Hierarchical Optimal Transport for Multimodal Distribution Alignment NeurIPS 2019 Hierarchical Photo-Scene Encoder for Album Storytelling AAAI 2019 Hierarchical Reinforcement Learning for Course Recommendation in MOOCs AAAI 2019 Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations ACL 2019 Hierarchical Transfer Learning for Multi-label Text Classification ACL 2019 High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection CVPR 2019 High-Quality Self-Supervised Deep Image Denoising NeurIPS 2019 Hint-Based Training for Non-Autoregressive Machine Translation EMNLP 2019 HireNet: A Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews AAAI 2019 HITSZ-ICRC: A Report for SMM4H Shared Task 2019-Automatic Classification and Extraction of Adverse Effect Mentions in Tweets ACL 2019 HLT@SUDA at SemEval-2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing SemEval 2019 Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology CVPR 2019 Homomorphic Latent Space Interpolation for Unpaired Image-To-Image Translation CVPR 2019 Honkling: In-Browser Personalization for Ubiquitous Keyword Spotting EMNLP 2019 Horizontal Pyramid Matching for Person Re-Identification AAAI 2019 Hotels-50K: A Global Hotel Recognition Dataset AAAI 2019 How to account for mispellings: Quantifying the benefit of character representations in neural content scoring models ACL 2019 How to Best Use Syntax in Semantic Role Labelling ACL 2019 How to Make a Pizza: Learning a Compositional Layer-Based GAN Model CVPR 2019 HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators CoRL 2019 HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-Identification AAAI 2019 Huawei’s NMT Systems for the WMT 2019 Biomedical Translation Task ACL 2019 Hubless Nearest Neighbor Search for Bilingual Lexicon Induction ACL 2019