CE-Net: Context Encoder Network for 2D Medical Image Segmentation
Res2Net: A New Multi-scale Backbone Architecture
Adversarial NLI: A New Benchmark for Natural Language Understanding
BitTrain: Sparse Bitmap Compression for Memory-Efficient Training on the Edge
Mixed Precision Training
Massively Multilingual Neural Machine Translation
Adversarial Representation Learning for Robust Privacy Preservation in\n Audio
Gaussian Error Linear Units (GELUs)
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Robust Optimization for Multilingual Translation with Imbalanced Data
Distilling the Knowledge in a Neural Network
Neural Natural Language Inference Models Enhanced with External Knowledge
Denoising Diffusion Implicit Models
Deep learning for cardiac image segmentation: A review
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Making Pre-trained Language Models Better Few-shot Learners
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters
Ecological Consequences of Trophic Cascades: A Global Perspective
Deep Directed Generative Autoencoders
