2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Research simulation toolkit for federated learning

A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

A curated list of resources for Learning with Noisy Labels

Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning

This repo contains the code for the experiments in "Rademacher Complexity for Adversarially Robust Generalization"

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

A MNIST-like fashion product database. Benchmark 👇

An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)

Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)

Federated Optimization in Heterogeneous Networks (MLSys '20)

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

KnowBert -- Knowledge Enhanced Contextual Word Representations

A Model for Natural Language Attack on Text Classification and Inference

Official repository for Jia, Raghunathan, Göksel, and Liang, "Certified Robustness to Adversarial Word Substitutions" (EMNLP 2019)

Implementation code for the paper "Generating Natural Language Adversarial Examples"

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv