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Panel
Tue 10:45 Panel 1A-4: Hardness of Noise-Free… & Adversarially Robust Learning:…
Aravind Gollakota · Omar Montasser
Poster
[Re] Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation
Aryan Mehta · Karan Uppal · Kaushal Jadhav · Monish Natarajan · Mradul Agrawal · Debashish Chakravarty
Poster
Tue 9:00 Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks
Sitan Chen · Aravind Gollakota · Adam Klivans · Raghu Meka
Poster
Wed 9:00 Discovering and Overcoming Limitations of Noise-engineered Data-free Knowledge Distillation
Piyush Raikwar · Deepak Mishra
Poster
Tue 9:00 Structured Energy Network As a Loss
Jay Yoon Lee · Dhruvesh Patel · Purujit Goyal · Wenlong Zhao · Zhiyang Xu · Andrew McCallum
Poster
Tue 14:00 Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods
Kimon Antonakopoulos · Ali Kavis · Volkan Cevher
Workshop
Noise-conditional Maximum Likelihood Estimation with Score-based Sampling
Henry Li · Yuval Kluger
Workshop
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs
Yijun Tian · Chuxu Zhang · Zhichun Guo · Xiangliang Zhang · Nitesh Chawla