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Understanding Difficulty-based Sample Weighting with a Universal
  Difficulty Measure

Understanding Difficulty-based Sample Weighting with a Universal Difficulty Measure

12 January 2023
Xiaoling Zhou
Ou Wu
Weiyao Zhu
Ziyang Liang
ArXiv (abs)PDFHTML

Papers citing "Understanding Difficulty-based Sample Weighting with a Universal Difficulty Measure"

4 / 4 papers shown
Title
LiLAW: Lightweight Learnable Adaptive Weighting to Meta-Learn Sample Difficulty and Improve Noisy Training
LiLAW: Lightweight Learnable Adaptive Weighting to Meta-Learn Sample Difficulty and Improve Noisy Training
Abhishek Moturu
Anna Goldenberg
Babak Taati
NoLa
184
0
0
25 Sep 2025
BadSampler: Harnessing the Power of Catastrophic Forgetting to Poison
  Byzantine-robust Federated Learning
BadSampler: Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated Learning
Yi Liu
Cong Wang
Lizhen Qu
AAML
148
4
0
18 Jun 2024
SafeShift: Safety-Informed Distribution Shifts for Robust Trajectory
  Prediction in Autonomous Driving
SafeShift: Safety-Informed Distribution Shifts for Robust Trajectory Prediction in Autonomous Driving
Ben Stoler
Ingrid Navarro
Meghdeep Jana
Soonmin Hwang
Jonathan M Francis
Jean Oh
166
17
0
16 Sep 2023
Packet Header Recognition Utilizing an All-Optical Reservoir Based on Reinforcement-Learning-Optimized Double-Ring Resonator
Packet Header Recognition Utilizing an All-Optical Reservoir Based on Reinforcement-Learning-Optimized Double-Ring ResonatorIEEE Journal of Selected Topics in Quantum Electronics (JSTQE), 2023
Zheng Li
Xiaoyan Zhou
Zongze Li
Guanju Peng
Yuhao Guo
Lin Zhang
246
2
0
26 Aug 2023
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