Collection of algorithms to learn loss and reward functions via gradient-based bi-level optimization.
最近更新: 接近3年前Toy datasets to evaluate algorithms for domain generalization and invariance learning.
最近更新: 接近3年前The Python library with command line tools to interact with Dynabench(https://dynabench.org/), such as uploading models.
最近更新: 接近3年前We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers.
最近更新: 接近3年前This is code associated with the paper, "Secure multiparty computations in floating-point arithmetic," published in the Institute of Mathematics and its Applications' "Information and Inference: a Journal of the IMA."
最近更新: 接近3年前Code repo for the ICML 2021 paper "Making Paper Reviewing Robust to Bid Manipulation Attacks".
最近更新: 接近3年前Generate from English-Centric AMR into Multiple Languages.
最近更新: 接近3年前This repo covers the implementation for Labelling unlabelled videos from scratch with multi-modal self-supervision, which learns clusters from multi-modal data in a self-supervised way.
最近更新: 接近3年前
