A Systematic Comparison of Robustness in Bayesian Deep Learning on Diabetic Retinopathy Diagnosis Tasks
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Updated
Nov 21, 2022 - Python
A Systematic Comparison of Robustness in Bayesian Deep Learning on Diabetic Retinopathy Diagnosis Tasks
Code for the paper "The Probabilistic Fault Tolerance of Neural Networks in the Continuous Limit", ICML 2020
Code associated with "Recourse For Humans", presented at the Participatory Approaches to Machine Learning workshop at ICML 2020.
Implementation of the paper "Learning Cancer Progression Network from Mutation Allele Frequencies", ICML Compbio 2020
Code for generating data in ICML 2020 paper "PackIt: A Virtual Environment for Geometric Planning"
PyTorch Implementation of Momentum-Based Policy Gradient Methods
This project contains the code for the paper accepted at NeurIPS 2020 - Robust Meta-learning for Mixed Linear Regression with Small Batches.
Code for "Adversarial Robustness via Runtime Masking and Cleansing" (ICML 2020)
The implementation for the paper "On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm".
Code-repository for the ICML 2020 paper Fairwashing explanations with off-manifold detergent
[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
Reproducing RigL (ICML 2020) as a part of ML Reproducibility Challenge 2020
Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)
Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.
Code for "Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources". (ICML 2020)
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 for reproducing results in ICML 2020 paper "PackIt: A Virtual Environment for Geometric Planning"
Official implementation of the paper Stochastic Latent Residual Video Prediction
Soft Threshold Weight Reparameterization for Learnable Sparsity
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