Research code for heuristically hiding information for inference run on 3rd party systems (ICML 22)

Feature Space Particle Inference for Neural Network Ensembles (ICML2022)

Deep reference priors (ICML22)

Implementation for ICML 2022 paper: 'Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification'

Code for the paper Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer - ICML 2022

Code for Double Sampling Randomized Smoothing [ICML 2022]

Python package for the ICML 2022 paper "Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors".

The original PyTorch implementation of the "EXACT: How Train Your Accuracy"

[ICML22] Balancing Discriminability and Transferability for Source-Free Domain Adaptation

"Learning Stable Classifiers by Transferring Unstable Features" ICML 2022

Official pytorch code for "APP: Anytime Progressive Pruning" (DyNN @ ICML, 2022; CLL @ ACML, 2022, SNN @ ICML, 2022 and SlowDNN 2023)

DETRtime, a framework for time-series segmentation

[ICML 2022] Conditional GANs with Auxiliary Discriminative Classifier

[ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"

GraphCON (ICML 2022)

[ICML 2022]Source code for "A Closer Look at Smoothness in Domain Adversarial Training",

PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)

Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]

Official Pytorch code for Structure-Aware Transformer.