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Poster
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Thu 8:45
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Private Federated Frequency Estimation: Adapting to the Hardness of the Instance
Jingfeng Wu · Wennan Zhu · Peter Kairouz · Vladimir Braverman
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Poster
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Thu 8:45
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An Adaptive Algorithm for Learning with Unknown Distribution Drift
Alessio Mazzetto · Eli Upfal
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Workshop
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Continual Learning and Out of Distribution Generalization in a Systematic Reasoning Task
Mustafa Abdool · Andrew Nam · James McClelland
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Workshop
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Bilevel Optimization to Learn Training Distributions for Language Modeling under Domain Shift
David Grangier · Pierre Ablin · Awni Hannun
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Poster
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Wed 8:45
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Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training
Hanyang Peng · Shuang Qin · Yue Yu · Jin Wang · Hui Wang · Ge Li
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Workshop
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Turn Down the Noise: Leveraging Diffusion Models for Test-time Adaptation via Pseudo-label Ensembling
Mrigank Raman · Rohan Shah · Akash Kannan · Pranit Chawla
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Poster
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Wed 8:45
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KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training
Truong Thao Nguyen · Balazs Gerofi · Edgar Josafat Martinez-Noriega · François Trahay · Mohamed Wahib
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Workshop
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Adaptive Sharpness-Aware Pruning for Robust Sparse Networks
Anna Bair · Hongxu Yin · Maying Shen · Pavlo Molchanov · Jose M. Alvarez
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Workshop
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Channel Selection for Test-Time Adaptation Under Distribution Shift
Pedro Vianna · Muawiz Chaudhary · An Tang · Guy Cloutier · Guy Wolf · Michael Eickenberg · Eugene Belilovsky
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Workshop
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SciFix: Outperforming GPT3 on Scientific Factual Error Correction
Dhananjay Ashok · Atharva Kulkarni · Hai Pham · Barnabas Poczos
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