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cs.LG2025
Layer-Aware Influence for Online Data Valuation Estimation
Ziao Yang, Longbo Huang, Hongfu Liu
Data-centric learning emphasizes curating high-quality training samples to boost performance rather than designing new architectures. A central problem is to estimate the influence…
cs.LG2023
One is More: Diverse Perspectives within a Single Network for Efficient DRL
Yiqin Tan, Ling Pan, Longbo Huang
Deep reinforcement learning has achieved remarkable performance in various domains by leveraging deep neural networks for approximating value functions and policies. However, using…
cs.LG2023
A Quadratic Synchronization Rule for Distributed Deep Learning
Xinran Gu, Kaifeng Lyu, Sanjeev Arora +2
In distributed deep learning with data parallelism, synchronizing gradients at each training step can cause a huge communication overhead, especially when many nodes work together…