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From Invariant Representations to Invariant Data: Provable Robustness to Spurious Correlations via Noisy Counterfactual Matching

Spurious correlations can cause model performance to degrade in new environments. Prior causality-inspired work aim to learn invariant representations (e.g., IRM) but typically underperform empirical risk minimization (ERM). Recent alternatives …

Robust Collaborative Inference with Vertically Split Data Over Dynamic Device Environments

When each edge device of a network only perceives a local part of the environment, collaborative inference across multiple devices is often needed to predict global properties of the environment. In safety-critical applications, collaborative …

Att-Adapter: A Robust and Precise Domain-Specific Multi-Attributes T2I Diffusion Adapter via Conditional Variational Autoencoder

Text-to-Image (T2I) Diffusion Models have achieved remarkable performance in generating high quality images. However, enabling precise control of continuous attributes, especially multiple attributes simultaneously, in a new domain (e.g., numeric …