This repository contains the dataset used to train the neural network model descried in the paper "Implicit HRTF Modeling Using Temporal Convolutional Networks", ICASSP 2021.
This contains the data for the TaoBench benchmarking project. Adaptors to generate workloads from this data are available at https//github.com/audreyccheng/taobench.
Official repo for the E3B algorithm described in the paper "Exploration via Elliptical Episodic Bonuses".
Realistic Luminance in VR, by Nathan Matsuda*, Alexandre Chapiro*, Yang Zhao, Clinton Smith, Romain Bachy, and Douglas Lanman. SIGGRAPH Asia 2022.
Geo-metric A Perceptual Dataset of Distortions on Faces" by Wolski et al., SIGGRAPH Asia 2022.
Collaborative Image Understanding leveraging collaborative information to improve image classifiers.
Partial set of hardware designs for a Meta-developed brain computer interface (BCI) research prototype system (Spotlight).
Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer
Official repository for "VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training"
Companion code for "Uncertainty-Driven Active Vision for Implicit Scene Reconstruction". This repository contains the code base for a Next Best View (NBV) task along with our proposed uncertainty driven solution and a set of baselines for comparison.
Crafting canaries to measure empirical privacy of DP-FL training under a realistic threat model.
Code for the paper "Uncertainty-Driven Exploration for Generalization in Reinforcement Learning".
