Giới thiệu chuyên mục SOTA (1)
Tổng hợp Transfer Learning (7)
Noise2Noise: Learning Image Restoration without Clean Data (2)
Precision and Recall for Time Series (2)
All-optical machine learning using diffraction (2)
YOLOv3: An Incremental Improvement (6)
Zoom To Learn, Learn To Zoom (2)
An Analysis of Pre-Training on Object Detection (2)
Transfer learning from language models to image caption generators: Better models may not transfer better (1)
Domain Adaptive Transfer Learning with Specialist Models (1)
SpotTune: Transfer Learning through Adaptive Fine-tuning (1)
Do Better ImageNet Models Transfer Better? (1)
XLNet: Generalized Autoregressive Pretraining for Language Understanding (2)
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules (1)
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks (1)
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation (1)
Random Erasing Data Augmentation (1)
Style Augmentation: Data Augmentation via Style Randomization (1)
AutoAugment: Learning Augmentation Policies from Data (1)
Graph Convolutional Neural Networks for Web-Scale Recommender Systems (1)
Isolating Sources of Disentanglement in VAEs (2)
Attention Augmented Convolutional Networks (2)
Unsupervised Data Augmentation (1)
ICML 2019 Notes (1)
Selfie: Self-supervised Pretraining for Image Embedding (2)
Focal Loss for Dense Object Detection (5)
A novel adaptive learning rate scheduler for deep neural networks (2)
Modeling polypharmacy side effects with graph convolutional networks (1)
Global-Locally Self-Attentive Dialogue State Tracker (5)
A Style-Based Generator Architecture for Generative Adversarial Networks (2)