Search Results for author: Christopher Liao

Found 6 papers, 5 papers with code

A Data Centric Approach for Unsupervised Domain Generalization via Retrieval from Web Scale Multimodal Data

1 code implementation6 Feb 2024 Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis

However, most DG methods assume access to abundant source data in the target label space, a requirement that proves overly stringent for numerous real-world applications, where acquiring the same label space as the target task is prohibitively expensive.

Domain Generalization Retrieval

Image-Caption Encoding for Improving Zero-Shot Generalization

1 code implementation5 Feb 2024 Eric Yang Yu, Christopher Liao, Sathvik Ravi, Theodoros Tsiligkaridis, Brian Kulis

We first show that when an OOD data point is misclassified, the correct class can be typically found in the Top-K predicted classes.

Image Classification Zero-shot Generalization +1

Pick up the PACE: Fast and Simple Domain Adaptation via Ensemble Pseudo-Labeling

1 code implementation26 May 2022 Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis

Domain Adaptation (DA) has received widespread attention from deep learning researchers in recent years because of its potential to improve test accuracy with out-of-distribution labeled data.

Domain Adaptation

Faster Algorithms for Learning Convex Functions

no code implementations2 Nov 2021 Ali Siahkamari, Durmus Alp Emre Acar, Christopher Liao, Kelly Geyer, Venkatesh Saligrama, Brian Kulis

For the task of convex Lipschitz regression, we establish that our proposed algorithm converges with iteration complexity of $ O(n\sqrt{d}/\epsilon)$ for a dataset $\bm X \in \mathbb R^{n\times d}$ and $\epsilon > 0$.

Metric Learning regression

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