On the Variance of Neural Network Training with respect to Test Sets and Distributions

4 April 2023

Papers citing "On the Variance of Neural Network Training with respect to Test Sets and Distributions"

13 / 13 papers shown

Title
MAGIC: Near-Optimal Data Attribution for Deep Learning Andrew Ilyas Logan Engstrom TDI 39 0 0 23 Apr 2025
Intrinsic Barriers to Explaining Deep Foundation Models Zhen Tan Huan Liu AI4CE 15 0 0 21 Apr 2025
Distributional Scaling Laws for Emergent Capabilities Rosie Zhao Tian Qin David Alvarez-Melis Sham Kakade Naomi Saphra LRM 39 0 0 24 Feb 2025
94% on CIFAR-10 in 3.29 Seconds on a Single GPU Keller Jordan VLM 29 5 0 30 Mar 2024
Robust Nonparametric Hypothesis Testing to Understand Variability in Training Neural Networks Sinjini Banerjee Reilly Cannon Tim Marrinan Tony Chiang Anand D. Sarwate OOD 18 0 0 01 Oct 2023
Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs Angelica Chen Ravid Schwartz-Ziv Kyunghyun Cho Matthew L. Leavitt Naomi Saphra 26 62 0 13 Sep 2023
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis V. W. Anelli Daniele Malitesta Claudio Pomo Alejandro Bellogín T. D. Noia E. Sciascio 21 10 0 01 Aug 2023
Transferring Learning Trajectories of Neural Networks Daiki Chijiwa 23 2 0 23 May 2023
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 212 487 0 01 Oct 2021
Optimizing Mode Connectivity via Neuron Alignment N. Joseph Tatro Pin-Yu Chen Payel Das Igor Melnyk P. Sattigeri Rongjie Lai MoMe 223 80 0 05 Sep 2020
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning S. Raschka 77 764 0 13 Nov 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,660 0 05 Dec 2016
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 179 1,185 0 30 Nov 2014