Adversarial NLI: A New Benchmark for Natural Language Understanding
Mixed Precision Training
Adversarial Representation Learning for Robust Privacy Preservation in\n Audio
PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
Res2Net: A New Multi-scale Backbone Architecture
BitTrain: Sparse Bitmap Compression for Memory-Efficient Training on the Edge
Deep learning for cardiac image segmentation: A review
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Massively Multilingual Neural Machine Translation
Distilling the Knowledge in a Neural Network
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Gaussian Error Linear Units (GELUs)
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Whitening Sentence Representations for Better Semantics and Faster Retrieval
Making Pre-trained Language Models Better Few-shot Learners
Denoising Diffusion Implicit Models
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters
Deep Directed Generative Autoencoders
Ecological Consequences of Trophic Cascades: A Global Perspective
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping
