Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities Workshop at ICML 2023
Federated, Fast, and Private Visualization of Decentralized Data
Debbrata Kumar Saha, Vince Calhoun, Soo Min Kwon, Anand Sarwate, Rekha Saha, Sergey Plis
AI & HCI at IMCL Workshop
Towards Mitigating Spurious Correlations in Image Classifiers with Simple Yes-no Feedback
Seongmin Lee, Ali Payani, Duen Horng Chau
AI & HCI at IMCL Workshop
ConceptEvo: Interpreting Concept Evolution in Deep Learning Training
Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau
The Second Workshop on Spurious Correlations, Invariance and Stability
Saving a Split for Last-layer Retraining can Improve Group Robustness without Group Annotations
Tyler LaBonte, Vidya Muthukumar, Abhishek Kumar
The Second Workshop on Formal Verification of Machine Learning (WFVML 2023)
Akash Harapanahalli (Georgia Institute of Technology)*; Saber Jafarpour (Georgia Institute of Technology); Sam Coogan (Georgia Tech)
Data-centric Machine Learning Research (DMLR) Workshop at ICML 2023
Active learning for time instant classification
Nauman Ahad, Namrata Nadagouda, Eva L. Dyer, Mark A. Davenport
Data-centric Machine Learning Research (DMLR) Workshop at ICML 2023
Learning pipeline-invariant representation for robust brain phenotype prediction
Xinhui Li (Georgia Institute of Technology)*; Alex Fedorov (Georgia Institute of Technology); Mrinal Mathur (Georgia State University); Anees Abrol (TReNDS); Gregory Kiar (Child Mind Institute); Sergey Plis (Georgia State University); Vince Calhoun (TReNDS)