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Poster
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Tue 8:00
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Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources
Yun Yun Tsai · Pin-Yu Chen · Tsung-Yi Ho
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Poster
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Tue 8:00
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AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
Esteban Real · Chen Liang · David So · Quoc Le
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Workshop
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Sat 13:20
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"Machine learning-based design (of proteins, small molecules and beyond)"
Jennifer Listgarten
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Poster
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Thu 14:00
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Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift
Alexander Chan · Ahmed Alaa · Zhaozhi Qian · Mihaela van der Schaar
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Poster
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Tue 8:00
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NADS: Neural Architecture Distribution Search for Uncertainty Awareness
Randy Ardywibowo · Shahin Boluki · Xinyu Gong · Zhangyang “Atlas” Wang · Xiaoning Qian
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Poster
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Tue 7:00
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Zeno++: Robust Fully Asynchronous SGD
Cong Xie · Sanmi Koyejo · Indranil Gupta
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Poster
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Tue 11:00
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Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation
Amr Mohamed Alexandari · Anshul Kundaje · Avanti Shrikumar
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Poster
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Wed 12:00
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Radioactive data: tracing through training
Alexandre Sablayrolles · Douze Matthijs · Cordelia Schmid · Herve Jegou
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Poster
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Wed 5:00
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Data preprocessing to mitigate bias: A maximum entropy based approach
L. Elisa Celis · Vijay Keswani · Nisheeth K. Vishnoi
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Poster
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Tue 14:00
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Near Input Sparsity Time Kernel Embeddings via Adaptive Sampling
David Woodruff · Amir Zandieh
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Tutorial
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Mon 1:00
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Machine Learning for Healthcare: Challenges, Methods, Frontiers
Mihaela van der Schaar
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Workshop
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Fri 10:30
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Actionable Recourse in Machine Learning
Berk Ustun
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