SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts
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Updated
Oct 18, 2023 - Python
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts
A benchmark dataset for Machine Learning emulation of atmospheric radiative transfer in weather and climate models (NeurIPS 2021 Datasets and Benchmarks Track)
Distributional and Outlier Robust Optimization (ICML 2021)
New structural distributional shifts for evaluating graph models
Code for "Environment Diversification with Multi-head Neural Network for Invariant Learning" (NeurIPS 2022)
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP (Findings of EMNLP 2023)
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