This is a collection of our zero-cost NAS and efficient vision applications.

Official Pytorch code for Structure-Aware Transformer.

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

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

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

GraphCON (ICML 2022)

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

[ICML 2022] Conditional GANs with Auxiliary Discriminative Classifier

DETRtime, a framework for time-series segmentation

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

"Learning Stable Classifiers by Transferring Unstable Features" ICML 2022

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

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

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

Code for Double Sampling Randomized Smoothing [ICML 2022]

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

Deep reference priors (ICML22)

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

Feature Space Particle Inference for Neural Network Ensembles (ICML2022)