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Adversarial NLI: A New Benchmark for Natural Language Understanding

Res2Net: A New Multi-scale Backbone Architecture

Mixed Precision Training

PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning

BitTrain: Sparse Bitmap Compression for Memory-Efficient Training on the Edge

CE-Net: Context Encoder Network for 2D Medical Image Segmentation

Adversarial Representation Learning for Robust Privacy Preservation in\n Audio

Deep learning for cardiac image segmentation: A review

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Making Pre-trained Language Models Better Few-shot Learners

Res2Net: A New Multi-scale Backbone Architecture

PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning

CE-Net: Context Encoder Network for 2D Medical Image Segmentation

Deep learning for cardiac image segmentation: A review

Making Pre-trained Language Models Better Few-shot Learners

Robust Optimization for Multilingual Translation with Imbalanced Data

TextBoxes++: A Single-Shot Oriented Scene Text Detector

K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

Visual Relationship Detection with Language Priors

Neural Natural Language Inference Models Enhanced with External Knowledge

Mixed Precision Training

CE-Net: Context Encoder Network for 2D Medical Image Segmentation

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Robust Optimization for Multilingual Translation with Imbalanced Data

Res2Net: A New Multi-scale Backbone Architecture

Visual Relationship Detection with Language Priors

Gaussian Error Linear Units (GELUs)

Deep Fragment Embeddings for Bidirectional Image Sentence Mapping

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Ecological Consequences of Trophic Cascades: A Global Perspective

PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning

Deep learning for cardiac image segmentation: A review

Robust Optimization for Multilingual Translation with Imbalanced Data

K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

Neural Natural Language Inference Models Enhanced with External Knowledge

Deep Fragment Embeddings for Bidirectional Image Sentence Mapping

Ecological Consequences of Trophic Cascades: A Global Perspective

BitTrain: Sparse Bitmap Compression for Memory-Efficient Training on the Edge

Making Pre-trained Language Models Better Few-shot Learners

Res2Net: A New Multi-scale Backbone Architecture

Neural Natural Language Inference Models Enhanced with External Knowledge

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Ecological Consequences of Trophic Cascades: A Global Perspective