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Oral
Wed Jun 12 11:00 AM -- 11:20 AM (PDT) @ Room 102
On the Convergence and Robustness of Adversarial Training
Yisen Wang · Xingjun Ma · James Bailey · Jinfeng Yi · Bowen Zhou · Quanquan Gu
Oral
Wed Jun 12 11:20 AM -- 11:25 AM (PDT) @ Room 102
Learning with Bad Training Data via Iterative Trimmed Loss Minimization
Yanyao Shen · Sujay Sanghavi
Oral
Wed Jun 12 11:25 AM -- 11:30 AM (PDT) @ Room 102
On discriminative learning of prediction uncertainty
Vojtech Franc · Daniel Prusa
Oral
Wed Jun 12 11:30 AM -- 11:35 AM (PDT) @ Room 102
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
Pengfei Chen · Ben Liao · Guangyong Chen · Shengyu Zhang
Oral
Wed Jun 12 11:35 AM -- 11:40 AM (PDT) @ Room 102
Does Data Augmentation Lead to Positive Margin?
Shashank Rajput · Zhili Feng · Zachary Charles · Po-Ling Loh · Dimitris Papailiopoulos
Oral
Wed Jun 12 11:40 AM -- 12:00 PM (PDT) @ Room 102
Robust Learning from Untrusted Sources
Nikola Konstantinov · Christoph H. Lampert
Oral
Wed Jun 12 12:00 PM -- 12:05 PM (PDT) @ Room 102
SELFIE: Refurbishing Unclean Samples for Robust Deep Learning
Hwanjun Song · Minseok Kim · Jae-Gil Lee
Oral
Wed Jun 12 12:05 PM -- 12:10 PM (PDT) @ Room 102
Zeno: Distributed Stochastic Gradient Descent with Suspicion-based Fault-tolerance
Cong Xie · Sanmi Koyejo · Indranil Gupta
Oral
Wed Jun 12 12:10 PM -- 12:15 PM (PDT) @ Room 102
Concentration Inequalities for Conditional Value at Risk
Philip Thomas · Erik Learned-Miller
Oral
Wed Jun 12 12:15 PM -- 12:20 PM (PDT) @ Room 102
Data Poisoning Attacks in Multi-Party Learning
Saeed Mahloujifar · Mohammad Mahmoody · Ameer Mohammed