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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)

Syntactic Parsing in Humans and Machines ACL 2020 Syntax-Aware Opinion Role Labeling with Dependency Graph Convolutional Networks ACL 2020 Synthetic Depth Transfer for Monocular 3D Object Pose Estimation in the Wild AAAI 2020 Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data CVPR 2020 Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction EMNLP 2020 Tackling the Low-resource Challenge for Canonical Segmentation EMNLP 2020 Tagged Back-translation Revisited: Why Does It Really Work? ACL 2020 TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection AAAI 2020 Tangent Images for Mitigating Spherical Distortion CVPR 2020 TaPas: Weakly Supervised Table Parsing via Pre-training ACL 2020 Targeted Adversarial Perturbations for Monocular Depth Prediction NeurIPS 2020 Target Inference in Argument Conclusion Generation ACL 2020 Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks CVPR 2020 Task-Aware Monocular Depth Estimation for 3D Object Detection AAAI 2020 Task-Oriented Dialog Generation with Enhanced Entity Representation Interspeech 2020 Task-Oriented Dialog Systems That Consider Multiple Appropriate Responses under the Same Context AAAI 2020 TA-Student VQA: Multi-Agents Training by Self-Questioning CVPR 2020 Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis EMNLP 2020 TaxiNLI: Taking a Ride up the NLU Hill CoNLL 2020 tBERT: Topic Models and BERT Joining Forces for Semantic Similarity Detection ACL 2020 Teaching Machine Comprehension with Compositional Explanations EMNLP 2020 TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising EMNLP 2020 Telescoping Density-Ratio Estimation NeurIPS 2020 Telling Left From Right: Learning Spatial Correspondence of Sight and Sound CVPR 2020 Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space EMNLP 2020