Since deep learning regained prominence in 2012, many machine learning frameworks have clamored to become the new favorite among researchers and industry practitioners. From the early academic outputs Caffe and Theano to the massive industry-backed PyTorch…

We’re open-sourcing a new platform for experimenting with reinforcement learning to proactively adapt to changing traffic patterns.

An AI team at the University of Waterloo, Canada, developed a new type of compact family of deep neural networks (AttoNets), which can even run on smartphones, tablets, and other mobile devices. The main problem with available neural networks is they require…

Recently, Facebook AI has advanced state-of-the-art results in key language understanding tasks and also launched a new benchmark to push AI systems further

❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambdalabs.com/papers

📝 The paper "Learning Predict-and-Simulate Policies From Unorganized Human Motion Data" is available here:
https://mrl.snu.ac.kr/publications/ProjectICC/ICC.html

🙏 We…

Code available: https://github.com/MIT-SPARK/Kimera
Paper: https://arxiv.org/abs/1910.02490

Kimera has also been used in:
- 3D Dynamic Scene Graphs:
Video: https://www.youtube.com/watch?v=SWbofjhyPzI&feature=youtu.be
Paper: https://arxiv.org/abs/2002.06289…

Better features make better models. Discover how to get the most out of your data.

❤️ Pick up cool perks on our Patreon page: https://www.patreon.com/TwoMinutePapers

📝 The paper "FaceForensics++: Learning to Detect Manipulated Facial Images" is available here:
https://www.niessnerlab.org/projects/roessler2019faceforensicspp.html

❤️ Watch…

❤️ Check out Weights & Biases here and sign up for a free demo: https://www.wandb.com/papers
❤️ Their blog post is available here: https://www.wandb.com/articles/better-paths-through-idea-space

📝 The paper "Emergent Tool Use from Multi-Agent Interaction"…

Learning how to interact with objects is an important step towards embodied visual intelligence, but existing techniques suffer from heavy supervision or sensing requirements. We propose an approach to learn human-object interaction “hotspots” directly from…

A highly efficient implementation of Gaussian Processes in PyTorch - cornellius-gp/gpytorch

Facebook researchers will join computer vision experts from around the world to discuss the latest advances at the International Conference on Computer Vision (ICCV) in Seoul, Korea, from October 27 to November 2.

Logistic regression is a model for binary classification predictive modeling. The parameters of a logistic regression model can be estimated by the probabilistic framework called maximum likelihood estimation. Under this framework, a probability distribution…

We’re introducing a new method that uses dense, sliding-window technique — instead of standard bounding boxes — to perform instance segmentation. .