Smooth activations and reproducibility in deep networks

20 October 2020

Papers citing "Smooth activations and reproducibility in deep networks"

18 / 18 papers shown

Title
Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions Siqiao Mu Diego Klabjan MU 50 3 0 15 Sep 2024
On the consistency of hyper-parameter selection in value-based deep reinforcement learning J. Obando-Ceron J. G. Araújo Aaron C. Courville Pablo Samuel Castro 45 6 0 25 Jun 2024
On The Fairness Impacts of Hardware Selection in Machine Learning Sree Harsha Nelaturu Nishaanth Kanna Ravichandran Cuong Tran Sara Hooker Ferdinando Fioretto 53 2 0 06 Dec 2023
Elo Uncovered: Robustness and Best Practices in Language Model Evaluation M. Boubdir Edward Kim B. Ermiş Sara Hooker Marzieh Fadaee ELM 21 35 0 29 Nov 2023
Deterministic Nonsmooth Nonconvex Optimization Michael I. Jordan Guy Kornowski Tianyi Lin Ohad Shamir Manolis Zampetakis 54 26 0 16 Feb 2023
Instability in clinical risk stratification models using deep learning D. Martinez A. Yakubovich Martin G. Seneviratne Á. Lelkes Akshit Tyagi ... N. L. Downing Ron C. Li Keith Morse N. Shah Ming-Jun Chen OOD 31 2 0 20 Nov 2022
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models Rohan Anil S. Gadanho Danya Huang Nijith Jacob Zhuoshu Li ... Cristina Pop Kevin Regan G. Shamir Rakesh Shivanna Qiqi Yan 3DV 26 41 0 12 Sep 2022
Disentangling Model Multiplicity in Deep Learning Ari Heljakka Martin Trapp Arno Solin Arno Solin 33 4 0 17 Jun 2022
Reducing Model Jitter: Stable Re-training of Semantic Parsers in Production Environments Christopher Hidey Fei Liu Rahul Goel 24 4 0 10 Apr 2022
Reproducibility in Optimization: Theoretical Framework and Limits Kwangjun Ahn Prateek Jain Ziwei Ji Satyen Kale Praneeth Netrapalli G. Shamir 25 22 0 09 Feb 2022
Dropout Prediction Uncertainty Estimation Using Neuron Activation Strength Haichao Yu Zhe Chen Dong Lin G. Shamir Jie Han UQCV 29 0 0 13 Oct 2021
Randomness In Neural Network Training: Characterizing The Impact of Tooling Donglin Zhuang Xingyao Zhang Shuaiwen Leon Song Sara Hooker 25 75 0 22 Jun 2021
Synthesizing Irreproducibility in Deep Networks R. Snapp G. Shamir OOD 27 10 0 21 Feb 2021
Anti-Distillation: Improving reproducibility of deep networks G. Shamir Lorenzo Coviello 42 20 0 19 Oct 2020
Smooth Adversarial Training Cihang Xie Mingxing Tan Boqing Gong Alan Yuille Quoc V. Le OOD 22 152 0 25 Jun 2020
TanhExp: A Smooth Activation Function with High Convergence Speed for Lightweight Neural Networks Xinyu Liu Xiaoguang Di 27 59 0 22 Mar 2020
Large scale distributed neural network training through online distillation Rohan Anil Gabriel Pereyra Alexandre Passos Róbert Ormándi George E. Dahl Geoffrey E. Hinton FedML 278 404 0 09 Apr 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016