Implementations of few-shot object detection benchmarks

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.

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

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

[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels

Repository of the ICML 2020 paper "Set Functions for Time Series"

Official implementation of the paper Stochastic Latent Residual Video Prediction

Soft Threshold Weight Reparameterization for Learnable Sparsity

Benchmarking continual learning techniques for Human Activity Recognition data. We offer interesting insights on how the performance techniques vary with a domain other than images.

Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.

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

Code for reproducing results in ICML 2020 paper "PackIt: A Virtual Environment for Geometric Planning"

The implementation for the paper "On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm".

Code for "Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources". (ICML 2020)

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

Code for Non-convex Learning via Replica Exchange Stochastic Gradient MCMC, ICML 2020.

[ICML 2020] Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies. https://arxiv.org/abs/2007.12678, https://icml.cc/virtual/2020/poster/5797

Code-repository for the ICML 2020 paper Fairwashing explanations with off-manifold detergent

Reproducing RigL (ICML 2020) as a part of ML Reproducibility Challenge 2020