CE-Net: Context Encoder Network for 2D Medical Image Segmentation
Massively Multilingual Neural Machine Translation
Res2Net: A New Multi-scale Backbone Architecture
Adversarial Representation Learning for Robust Privacy Preservation in\n Audio
BitTrain: Sparse Bitmap Compression for Memory-Efficient Training on the Edge
Mixed Precision Training
PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Distilling the Knowledge in a Neural Network
Neural Natural Language Inference Models Enhanced with External Knowledge
Visual Relationship Detection with Language Priors
Deep Directed Generative Autoencoders
TextBoxes++: A Single-Shot Oriented Scene Text Detector
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters
Denoising Diffusion Implicit Models
Ecological Consequences of Trophic Cascades: A Global Perspective
Deep learning for cardiac image segmentation: A review