Research code for heuristically hiding information for inference run on 3rd party systems (ICML 22)
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Updated
Mar 23, 2024 - Python
Research code for heuristically hiding information for inference run on 3rd party systems (ICML 22)
[ICML 2023] Official code for our paper: 'Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models'
(ICML-W, 2018) Text to image synthesis, by distilling concepts from multiple captions.
Code for ICML 2019 paper titled "On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning"
Feature Space Particle Inference for Neural Network Ensembles (ICML2022)
⚡️ A framework that investigates the scaling limit of ResNets and compares it to Neural ODEs. Tested on synthetic and standardized datasets. 📈
Implementation for ICML 2022 paper: 'Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification'
Source code of the ICML24 paper "Self-Composing Policies for Scalable Continual Reinforcement Learning" (selected for oral presentation)
Official PyTorch implementation of the ICML 2024 paper "Hyperbolic Active Learning for Semantic Segmentation under Domain Shift"
Code for the paper Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer - ICML 2022
This project contains the code for the paper accepted at NeurIPS 2020 - Robust Meta-learning for Mixed Linear Regression with Small Batches.
[ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
Python package for the ICML 2022 paper "Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors".
T-Basis: a Compact Representation for Neural Networks
LowFER: Low-rank Bilinear Pooling for Link Prediction (ICML 2020)
[ICML 2024] Let Go of Your Labels with Unsupervised Transfer
Community Regularization of Visually Grounded Dialog https://arxiv.org/abs/1808.04359
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