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