Deep reference priors (ICML22)
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Updated
Jun 11, 2022 - Python
Deep reference priors (ICML22)
Research code for heuristically hiding information for inference run on 3rd party systems (ICML 22)
DETRtime, a framework for time-series segmentation
Python package for the ICML 2022 paper "Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors".
Feature Space Particle Inference for Neural Network Ensembles (ICML2022)
The original PyTorch implementation of the "EXACT: How Train Your Accuracy"
Official pytorch code for "APP: Anytime Progressive Pruning" (DyNN @ ICML, 2022; CLL @ ACML, 2022, SNN @ ICML, 2022 and SlowDNN 2023)
[ICML22] Balancing Discriminability and Transferability for Source-Free Domain Adaptation
Code for the paper Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer - ICML 2022
[ICML2022] Variational Wasserstein gradient flow
Code for the paper "Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters", ICML 2022
Implementation for ICML 2022 paper: 'Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification'
The proceedings of top conference in 2022 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
Code for Double Sampling Randomized Smoothing [ICML 2022]
[ICML 2022] Latent Diffusion Energy-Based Model for Interpretable Text Modeling
[ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"
"Learning Stable Classifiers by Transferring Unstable Features" ICML 2022
PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)
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