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(6 events)   Timezone:  
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Oral
Wed Apr 27 09:00 AM -- 09:15 AM (PDT)
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
In Oral 3: Learning from distribution shift
Ananya Kumar · Aditi Raghunathan · Robbie Jones · Tengyu Ma · Percy Liang
Oral
Wed Apr 27 09:15 AM -- 09:30 AM (PDT)
Asymmetry Learning for Counterfactually-invariant Classification in OOD Tasks
In Oral 3: Learning from distribution shift
S Chandra Mouli · Bruno Ribeiro
Oral
Wed Apr 27 09:30 AM -- 09:45 AM (PDT)
A Fine-Grained Analysis on Distribution Shift
In Oral 3: Learning from distribution shift
Olivia Wiles · Sven Gowal · Florian Stimberg · Sylvestre-Alvise Rebuffi · Ira Ktena · Krishnamurthy Dvijotham · Ali Taylan Cemgil
Oral
Wed Apr 27 09:45 AM -- 10:00 AM (PDT)
Sparse Communication via Mixed Distributions
In Oral 3: Learning from distribution shift
António Farinhas · Wilker Aziz · Vlad Niculae · Andre Martins
Oral
Wed Apr 27 10:00 AM -- 10:15 AM (PDT)
Frame Averaging for Invariant and Equivariant Network Design
In Oral 3: Learning from distribution shift
Omri Puny · Matan Atzmon · Edward Smith · Ishan Misra · Aditya Grover · Heli Ben-Hamu · Yaron Lipman
Oral
Wed Apr 27 10:15 AM -- 10:30 AM (PDT)
F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
In Oral 3: Learning from distribution shift
Qing Jin · Jian Ren · Richard Zhuang · Sumant Hanumante · Zhengang Li · Zhiyu Chen · Yanzhi Wang · Kaiyuan Yang · Sergey Tulyakov