Christopher Liao

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 10

Top Topics

Metric Learning

Top Venues

INFOCOM Workshops

Publications

Eric Yang Yu, Christopher Liao, Sathvik Ravi, Theodoros Tsiligkaridis, Brian Kulis
Image-Caption Encoding for Improving Zero-Shot Generalization. CoRR (2024)
Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis
A Data Centric Approach for Unsupervised Domain Generalization via Retrieval from Web Scale Multimodal Data. CoRR (2024)
Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis
Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization. ICML (2023)
Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning. CoRR (2023)
Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis
Supervised Metric Learning for Retrieval via Contextual Similarity Optimization. CoRR (2022)
Ali Siahkamari, Durmus Alp Emre Acar, Christopher Liao, Kelly L. Geyer, Venkatesh Saligrama, Brian Kulis
Faster Algorithms for Learning Convex Functions. ICML (2022)
Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis
Pick up the PACE: Fast and Simple Domain Adaptation via Ensemble Pseudo-Labeling. CoRR (2022)
Ali Siahkamari, Durmus Alp Emre Acar, Christopher Liao, Kelly Geyer, Venkatesh Saligrama, Brian Kulis
Faster Convex Lipschitz Regression via 2-block ADMM. CoRR (2021)
Christopher Liao, Yonatan Klausner, David Starobinski, Eran Simhon, Azer Bestavros
A case study of a shared/buy-in computing ecosystem. Clust. Comput. 21 (3) (2018)
Eran Simhon, Christopher Liao, David Starobinski
Smart parking pricing: A machine learning approach. INFOCOM Workshops (2017)