GitHub

Multi-Task Deep Neural Networks for Natural Language Understanding

MT-DNN, an open-source natural language understanding (NLU) toolkit that makes it easy for researchers and developers to train customized deep learning models. Built upon PyTorch and Transformers, ...
IEEE

SDCNN: Self-Supervised Disentangled Convolutional Neural Network for Low-Dose CT Denoising

Abstract: Low-dose computed tomography (LDCT) reduces radiation exposure but suffers from high noise, impacting image quality and diagnostic accuracy. Supervised learning has helped address this ...

In 1989, Yann LeCun helped show that neural networks could read handwritten ZIP codes, laying groundwork for systems that later read bank checks

In 1989, a computer scientist tackled the messy challenge of reading handwritten zip codes for the US Post Office. This ...

AI Hallucinations Are A Feature, Not A Bug

Nvidia’s paper on its ArtFixer tool begins with a line that is absolutely incomprehensible if you’re not already AI-pilled: ...
GitHub

GitHub - facebookincubator/AITemplate: AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore ...

High performance: close to roofline fp16 TensorCore (NVIDIA GPU) / MatrixCore (AMD GPU) performance on major models, including ResNet, MaskRCNN, BERT, VisionTransformer, Stable Diffusion, etc. Unified ...
IEEE

An Automated and Robust Image Watermarking Scheme Based on Deep Neural Networks

Abstract: Digital image watermarking is the process of embedding and extracting a watermark covertly on a cover-image. To dynamically adapt image watermarking algorithms, deep learning–based image ...