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

Massively Multilingual Neural Machine Translation

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

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

Mixed Precision Training

Adversarial NLI: A New Benchmark for Natural Language Understanding

Adversarial Representation Learning for Robust Privacy Preservation in\n Audio

Distilling the Knowledge in a Neural Network

Neural Natural Language Inference Models Enhanced with External Knowledge

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

Massively Multilingual Neural Machine Translation

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

Adversarial NLI: A New Benchmark for Natural Language Understanding

Distilling the Knowledge in a Neural Network

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

Denoising Diffusion Implicit Models

Whitening Sentence Representations for Better Semantics and Faster Retrieval

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

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

Adversarial NLI: A New Benchmark for Natural Language Understanding

Neural Natural Language Inference Models Enhanced with External Knowledge

Denoising Diffusion Implicit Models

Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Gaussian Error Linear Units (GELUs)

Res2Net: A New Multi-scale Backbone Architecture

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

Ecological Consequences of Trophic Cascades: A Global Perspective

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

Distilling the Knowledge in a Neural Network

Denoising Diffusion Implicit Models

Deep learning for cardiac image segmentation: A review

Massively Multilingual Neural Machine Translation

Res2Net: A New Multi-scale Backbone Architecture

Ecological Consequences of Trophic Cascades: A Global Perspective

Mixed Precision Training

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

Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval

Massively Multilingual Neural Machine Translation

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

Ecological Consequences of Trophic Cascades: A Global Perspective