Jerome Pesenti is encouraged by progress in artificial intelligence, but sees the limits of the current approach to deep learning.

Machine learning algorithms are typically evaluated using resampling techniques such as k-fold cross-validation. During the k-fold cross-validation process, predictions are made on test sets comprised of data not used to train the model. These predictions…

To advance research on AI that can understand others’ points of view and collaborate effectively, Facebook AI has developed a bot that sets a new state of the art in Hanabi, a card game in which all players work together.

GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors - mhagiwara/github-typo-corpus

AI Researcher at the Samsung SAIT AI Lab 🐱‍💻

Facebook AI Managing Director Joelle Pineau discusses the importance of reproducibility in AI research, and shares early results from the first reproducibility challenge at NeurIPS 2019.

Text to speech (TTS) has attracted a lot of attention recently due to advancements in deep learning. Neural network-based TTS models (such as Tacotron 2, DeepVoice 3 and Transformer TTS) have outperformed conventional concatenative and statistical parametric…

As part of the fastMRI research project to use AI to speed up MRI scans, NYU Langone Health is making a new dataset of de-identified brain MRIs available to researchers and Facebook AI is sharing additional tools and resources.

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥 - ZhaoJ9014/face.evoLVe

Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior" - GitHub - rddy/ReQueST: Code for the paper, "Learning Human Objectives by Evaluating ...

The style-based GAN architecture (StyleGAN) yields state-of-the-art results in data-driven unconditional generative image modeling. We expose and analyze several of its characteristic artifacts,...

Posted by Neal Wadhwa, Software Engineer and Yinda Zhang, Research Scientist, Google Research Portrait Mode on Pixel phones is a camera feature t...

Publication of our Oktoberfest Food Dataset for Object Detection methods - a1302z/OktoberfestFoodDataset

It is important that beginner machine learning practitioners practice on small real-world datasets.

So-called standard machine learning datasets contain actual observations, fit into memory, and are well studied and well understood. As such, they can be…

In this repository, I will share some useful notes and references about deploying deep learning-based models in production. - ahkarami/Deep-Learning-in-Production

Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern Recognition Letters (2020) - mpatacchiola/Y-AE

This repository has moved to: https://github.com/tkipf/c-swm - c-swm/c-swm

Classification is a predictive modeling problem that involves predicting a class label for a given example.

It is generally assumed that the distribution of examples in the training dataset is even across all of the classes. In practice, this is rarely…