(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020

Soft Threshold Weight Reparameterization for Learnable Sparsity

[ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).

Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)

This project contains the code for the paper accepted at NeurIPS 2020 - Robust Meta-learning for Mixed Linear Regression with Small Batches.