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Poster
Mon 9:00 Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization
Joshua Chang · Patrick A Fletcher · Jungmin Han · Ted Chang · Shashaank Vattikuti · Bart Desmet · Ayah Zirikly · Carson Chow
Poster
Thu 17:00 In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve · Kevin Duarte · Yogesh S Rawat · Mubarak Shah
Poster
Mon 17:00 Selective Classification Can Magnify Disparities Across Groups
Erik Jones · Shiori Sagawa · Pang Wei Koh · Ananya Kumar · Percy Liang
Poster
Mon 9:00 Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs
Matthew Leavitt · Ari Morcos
Poster
Mon 17:00 Rethinking Architecture Selection in Differentiable NAS
Ruochen Wang · Minhao Cheng · Xiangning Chen · Xiaocheng Tang · Cho-Jui Hsieh
Poster
Tue 9:00 FairBatch: Batch Selection for Model Fairness
Yuji Roh · Kangwook Lee · Steven Whang · Changho Suh
Workshop
Fri 8:40 Biased Client Selection for Improved Convergence of Federated Learning
Gauri Joshi
Workshop
Fri 7:42 Contributed Talk: Synthetic Data for Model selection
Nadav Bhonker · Alon Shoshan
Workshop
Fri 6:26 Submodular Mutual Information for Targeted Data Subset Selection
Suraj Kothawade
Workshop
Fri 9:06 Q&A for Biased Client Selection for Improved Convergence of Federated Learning
Oral
Thu 0:00 Rethinking Architecture Selection in Differentiable NAS
Ruochen Wang · Minhao Cheng · Xiangning Chen · Xiaocheng Tang · Cho-Jui Hsieh
Workshop
Fri 3:05 Model Selection's Disparate Impact in Real-World Deep Learning Applications
Jessica Forde · A. Feder Cooper