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