Poster

Tue 9:00

Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss
Jason Altschuler · Kunal Talwar

Poster

MVP-N: A Dataset and Benchmark for Real-World Multi-View Object Classification
REN WANG · Jiayue Wang · Tae Sung Kim · JINSUNG KIM · Hyuk-Jae Lee

Poster

Tue 9:00

Active Ranking without Strong Stochastic Transitivity
Hao Lou · Tao Jin · Yue Wu · Pan Xu · Quanquan Gu · Farzad Farnoud

Poster

Confidence-based Reliable Learning under Dual Noises
Peng Cui · Yang Yue · Zhijie Deng · Jun Zhu

Poster

Self-Supervised Image Restoration with Blurry and Noisy Pairs
Zhilu Zhang · RongJian Xu · Ming Liu · Zifei Yan · Wangmeng Zuo

Poster

Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning
Shikun Li · Xiaobo Xia · Hansong Zhang · Yibing Zhan · Shiming Ge · Tongliang Liu

Poster

Thu 14:00

On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity
Vincent Szolnoky · Viktor Andersson · Balazs Kulcsar · Rebecka Jörnsten

Poster

SoftPatch: Unsupervised Anomaly Detection with Noisy Data
Xi Jiang · Jianlin Liu · Jinbao Wang · Qiang Nie · Kai WU · Yong Liu · Chengjie Wang · Feng Zheng

Poster

Tue 9:00

Differentially Private Learning Needs Hidden State (Or Much Faster Convergence)
Jiayuan Ye · Reza Shokri

Poster

Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective
Ruofan Liu · Yun Lin · XIANGLIN YANG · Jin Song Dong

Poster

Wed 9:00

On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and Dice
Marcus Nordstrom · Henrik Hult · Fredrik Löfman · Jonas Söderberg

Poster

Thu 14:00

Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data
Yusuke Tanaka · Tomoharu Iwata · naonori ueda

23 Results