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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)

Relational Action Forecasting CVPR 2019 Relational Knowledge Distillation CVPR 2019 Relation Embedding with Dihedral Group in Knowledge Graph ACL 2019 RelGAN: Relational Generative Adversarial Networks for Text Generation ICLR 2019 Reliability-aware Dynamic Feature Composition for Name Tagging ACL 2019 Reliable and Efficient Image Cropping: A Grid Anchor Based Approach CVPR 2019 REPAIR: Removing Representation Bias by Dataset Resampling CVPR 2019 RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation AAAI 2019 RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection CVPR 2019 Representation Flow for Action Recognition CVPR 2019 Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning CVPR 2019 Resampled Priors for Variational Autoencoders AISTATS 2019 Residual Compensation Networks for Heterogeneous Face Recognition AAAI 2019 Residual Invertible Spatio-Temporal Network for Video Super-Resolution AAAI 2019 Residual Regression With Semantic Prior for Crowd Counting CVPR 2019 Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders AAAI 2019 ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies NeurIPS 2019 Resolving Gendered Ambiguous Pronouns with BERT ACL 2019 Response Generation by Context-Aware Prototype Editing AAAI 2019 Restoration of Non-Rigidly Distorted Underwater Images Using a Combination of Compressive Sensing and Local Polynomial Image Representations ICCV 2019 Restoring ancient text using deep learning: a case study on Greek epigraphy EMNLP 2019 Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control EMNLP 2019 Rethinking Knowledge Graph Propagation for Zero-Shot Learning CVPR 2019 Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples CVPR 2019 Retrieval-Enhanced Adversarial Training for Neural Response Generation ACL 2019