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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)

Guided Dropout AAAI 2019 Guided Meta-Policy Search NeurIPS 2019 Guided Similarity Separation for Image Retrieval NeurIPS 2019 Guiding the Flowing of Semantics: Interpretable Video Captioning via POS Tag EMNLP 2019 Handling Syntactic Divergence in Low-resource Machine Translation EMNLP 2019 Handwriting Recognition in Low-Resource Scripts Using Adversarial Learning CVPR 2019 Hardness-Aware Deep Metric Learning CVPR 2019 Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer EMNLP 2019 Harnessing Reinforcement Learning for Neural Motion Planning RSS 2019 Hashtag Recommendation for Photo Sharing Services AAAI 2019 Head-Driven Phrase Structure Grammar Parsing on Penn Treebank ACL 2019 HEAD-QA: A Healthcare Dataset for Complex Reasoning ACL 2019 Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning CVPR 2019 HellaSwag: Can a Machine Really Finish Your Sentence? ACL 2019 Hello, It’s GPT-2 - How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems EMNLP 2019 Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning EMNLP 2019 Heterogeneous Attributed Network Embedding with Graph Convolutional Networks AAAI 2019 Heterogeneous Graph Learning for Visual Commonsense Reasoning NeurIPS 2019 Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering CVPR 2019 Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding AAAI 2019 Hierarchical Deep Feature Learning for Decoding Imagined Speech from EEG AAAI 2019 Hierarchical Deep Stereo Matching on High-Resolution Images CVPR 2019 Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning CVPR 2019 Hierarchically-Refined Label Attention Network for Sequence Labeling EMNLP 2019 Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation AAAI 2019