A new paper by Liu, Jian, He et al introduces RAdam, or “Rectified Adam”. It’s a new variation of the classic Adam optimizer that provides…

The BAIR Blog

Your daily dose of AI research from AK

Recent explainability related studies have shown that state-of-the-art DNNs
do not always adopt correct evidences to make decisions. It not only hampers
their generalization but also makes them...

Python API for LVIS Dataset. Contribute to lvis-dataset/lvis-api development by creating an account on GitHub.

Autonomous cars need to learn how to drive like a local

We’re releasing the 774 million parameter GPT-2 language model after the release of our small 124M model in February, staged release of our medium 355M model in May, and subsequent research with partners and the AI community into the model’s potential for…

Simple transformer implementation from scratch in pytorch. - pbloem/former

Generative Adversarial Networks, or GANs for short, were first described in the 2014 paper by Ian Goodfellow, et al. titled

Pre-training general-purpose visual features with convolutional neural networks without relying on annotations is a challenging and important task. Most recent efforts in unsupervised feature learning have focused on either small or highly curated datasets…

By Aaron Gokaslan* and Vanya Cohen*

In this work, we present a bidirectional system that can animate avatar heads of both users’ full likeness using consumer-friendly headset mounted cameras (HMC). There are two main challenges in doing this: unaccommodating camera views and the image-to-avatar…

Generative Adversarial Networks, or GANs, are perhaps the most effective generative model for image synthesis.

Nevertheless, they are typically restricted to generating small images and the training process remains fragile, dependent upon specific augmentations…

Facebook AI researchers are releasing a new feature for the fastText library that provides hyperparameter autotuning for more efficient text classifiers.

📝 The paper "Efficient Video Generation on Complex Datasets" is available here:
https://arxiv.org/abs/1907.06571

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🙏 We would like to thank our generous Patreon supporters…

Implements the unsupervised pre-training of convolutional neural networks - GitHub - facebookresearch/DeeperCluster: Implements the unsupervised pre-training of convolutional neural networks