Massively Multilingual Neural Machine Translation
BitTrain: Sparse Bitmap Compression for Memory-Efficient Training on the Edge
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
Mixed Precision Training
Res2Net: A New Multi-scale Backbone Architecture
Adversarial NLI: A New Benchmark for Natural Language Understanding
Adversarial Representation Learning for Robust Privacy Preservation in\n Audio
Denoising Diffusion Implicit Models
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
TextBoxes++: A Single-Shot Oriented Scene Text Detector
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters
Distilling the Knowledge in a Neural Network
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping
Making Pre-trained Language Models Better Few-shot Learners
Neural Natural Language Inference Models Enhanced with External Knowledge
Deep learning for cardiac image segmentation: A review
Gaussian Error Linear Units (GELUs)
Ecological Consequences of Trophic Cascades: A Global Perspective
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
