An Empirical Analysis of Backward Compatibility in Machine Learning Systems

11 August 2020

Papers citing "An Empirical Analysis of Backward Compatibility in Machine Learning Systems"

29 / 29 papers shown

Title
Efficient Construction of Model Family through Progressive Training Using Model Expansion Kazuki Yano Sho Takase Sosuke Kobayashi Shun Kiyono Jun Suzuki 48 0 0 01 Apr 2025
An Experience Report on Regression-Free Repair of Deep Neural Network Model Takao Nakagawa Susumu Tokumoto Shogo Tokui Fuyuki Ishikawa 51 1 0 10 Mar 2025
Backward Compatibility in Attributive Explanation and Enhanced Model Training Method Ryuta Matsuno 36 0 0 05 Aug 2024
MUSCLE: A Model Update Strategy for Compatible LLM Evolution Jessica Echterhoff Fartash Faghri Raviteja Vemulapalli Ting-Yao Hu Chun-Liang Li Oncel Tuzel Hadi Pouransari KELM 58 2 0 12 Jul 2024
"We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning Shreya Shankar Rolando Garcia J. M. Hellerstein Aditya G. Parameswaran 22 10 0 25 Mar 2024
Optimistic Verifiable Training by Controlling Hardware Nondeterminism Megha Srivastava Simran Arora Dan Boneh 24 5 0 14 Mar 2024
Updating Clinical Risk Stratification Models Using Rank-Based Compatibility: Approaches for Evaluating and Optimizing Clinician-Model Team Performance Erkin Ötleş B. Denton Jenna Wiens 11 1 0 10 Aug 2023
Understanding User Intent Modeling for Conversational Recommender Systems: A Systematic Literature Review Siamak Farshidi Kiyan Rezaee Sara Mazaheri Amir Rahimi Ali Dadashzadeh Morteza Ziabakhsh S. Eskandari S. Jansen 33 3 0 05 Aug 2023
Maintaining Stability and Plasticity for Predictive Churn Reduction George Adam B. Haibe-Kains Anna Goldenberg 15 1 0 06 May 2023
Boundary-aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval Tan Pan Furong Xu Xudong Yang Sifeng He Cheng-peng Jiang Qingpei Guo Fengyi Zhang Yuan-Chia Cheng Lei Yang Wei Chu 25 8 0 04 May 2023
AI Model Disgorgement: Methods and Choices Alessandro Achille Michael Kearns Carson Klingenberg Stefano Soatto MU 17 11 0 07 Apr 2023
Capabilities of GPT-4 on Medical Challenge Problems Harsha Nori Nicholas King S. McKinney Dean Carignan Eric Horvitz LM&MA ELM AI4MH 39 765 0 20 Mar 2023
FastFill: Efficient Compatible Model Update Florian Jaeckle Fartash Faghri Ali Farhadi Oncel Tuzel Hadi Pouransari 28 2 0 08 Mar 2023
Backward Compatibility During Data Updates by Weight Interpolation Raphael Schumann Elman Mansimov Yi-An Lai Nikolaos Pappas Xibin Gao Yi Zhang 11 4 0 25 Jan 2023
Towards Regression-Free Neural Networks for Diverse Compute Platforms Rahul Duggal Hao Zhou Shuo Yang Jun Fang Yuanjun Xiong Wei Xia UQCV 31 1 0 27 Sep 2022
Machine Learning for Microcontroller-Class Hardware: A Review Swapnil Sayan Saha S. Sandha Mani B. Srivastava 19 117 0 29 May 2022
Practical Insights of Repairing Model Problems on Image Classification Akihito Yoshii Susumu Tokumoto Fuyuki Ishikawa VLM 11 0 0 14 May 2022
ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent Training Yue Zhao Yantao Shen Yuanjun Xiong Shuo Yang Wei Xia Z. Tu Bernt Shiele Stefano Soatto BDL 38 6 0 12 May 2022
Forward Compatible Few-Shot Class-Incremental Learning Da-Wei Zhou Fu Lee Wang Han-Jia Ye Liang Ma Shiliang Pu De-Chuan Zhan CLL 20 168 0 14 Mar 2022
NeuRecover: Regression-Controlled Repair of Deep Neural Networks with Training History Sho Tokui Susumu Tokumoto Akihito Yoshii Fuyuki Ishikawa Takao Nakagawa Kazuki Munakata Shinji Kikuchi KELM 19 25 0 01 Mar 2022
Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness Kate Donahue Alexandra Chouldechova K. Kenthapadi FaML FedML 28 49 0 17 Feb 2022
Hidden Heterogeneity: When to Choose Similarity-Based Calibration K. Wagstaff Thomas G. Dietterich 8 1 0 03 Feb 2022
Hot-Refresh Model Upgrades with Regression-Alleviating Compatible Training in Image Retrieval Binjie Zhang Yixiao Ge Yantao Shen Yu Li Chun Yuan Xuyuan Xu Yexin Wang Ying Shan VLM 25 7 0 24 Jan 2022
Distributionally Robust Group Backwards Compatibility Martín Bertrán Natalia Martínez Alexander X. Oesterling Guillermo Sapiro FedML OOD 18 1 0 20 Dec 2021
CoReS: Compatible Representations via Stationarity Niccoló Biondi F. Pernici Matteo Bruni A. Bimbo OOD 16 9 0 15 Nov 2021
Backward-Compatible Prediction Updates: A Probabilistic Approach Frederik Trauble Julius von Kügelgen Matthäus Kleindessner Francesco Locatello Bernhard Schölkopf Peter V. Gehler 17 16 0 02 Jul 2021
Challenges in Deploying Machine Learning: a Survey of Case Studies Andrei Paleyes Raoul-Gabriel Urma Neil D. Lawrence 18 389 0 18 Nov 2020
Positive-Congruent Training: Towards Regression-Free Model Updates Sijie Yan Yuanjun Xiong Kaustav Kundu Shuo Yang Siqi Deng Meng Wang Wei Xia Stefano Soatto BDL 6 49 0 18 Nov 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 258 3,109 0 04 Nov 2016