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stat.ML2025
Dynamic Influence Tracker: Measuring Time-Varying Sample Influence During Training
Jie Xu, Zihan Wu
Existing methods for measuring training sample influence on models only provide static, overall measurements, overlooking how sample influence changes during training. We propose D…
cs.LG2025
LiveVal: Time-aware Data Valuation via Adaptive Reference Points
Jie Xu, Zihan Wu, Cong Wang +1
Time-aware data valuation enhances training efficiency and model robustness, as early detection of harmful samples could prevent months of wasted computation. However, existing met…