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Positive-Congruent Training: Towards Regression-Free Model Updates

Positive-Congruent Training: Towards Regression-Free Model Updates

18 November 2020
Sijie Yan
Yuanjun Xiong
Kaustav Kundu
Shuo Yang
Siqi Deng
Meng Wang
Wei Xia
Stefano Soatto
    BDL
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Papers citing "Positive-Congruent Training: Towards Regression-Free Model Updates"

37 / 37 papers shown
Title
An Experience Report on Regression-Free Repair of Deep Neural Network Model
Takao Nakagawa
Susumu Tokumoto
Shogo Tokui
Fuyuki Ishikawa
56
1
0
10 Mar 2025
Targeting Negative Flips in Active Learning using Validation Sets
Ryan Benkert
Mohit Prabhushankar
Ghassan AlRegib
AAML
40
0
0
16 Nov 2024
FlipGuard: Defending Preference Alignment against Update Regression with
  Constrained Optimization
FlipGuard: Defending Preference Alignment against Update Regression with Constrained Optimization
Mingye Zhu
Yi Liu
Quan Wang
Junbo Guo
Zhendong Mao
29
1
0
01 Oct 2024
Backward-Compatible Aligned Representations via an Orthogonal
  Transformation Layer
Backward-Compatible Aligned Representations via an Orthogonal Transformation Layer
Simone Ricci
Niccoló Biondi
F. Pernici
A. Bimbo
VLM
23
0
0
16 Aug 2024
Backward Compatibility in Attributive Explanation and Enhanced Model
  Training Method
Backward Compatibility in Attributive Explanation and Enhanced Model Training Method
Ryuta Matsuno
41
0
0
05 Aug 2024
MUSCLE: A Model Update Strategy for Compatible LLM Evolution
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
Towards Cross-modal Backward-compatible Representation Learning for
  Vision-Language Models
Towards Cross-modal Backward-compatible Representation Learning for Vision-Language Models
Young Kyun Jang
Ser-nam Lim
VLM
37
1
0
23 May 2024
Meanings and Feelings of Large Language Models: Observability of Latent
  States in Generative AI
Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AI
Tian Yu Liu
Stefano Soatto
Matteo Marchi
Pratik Chaudhari
Paulo Tabuada
AI4CE
38
2
0
22 May 2024
Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmples
Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmples
M. Kozák
Luca Demetrio
Dmitrijs Trizna
Fabio Roli
AAML
36
0
0
04 May 2024
Robustness-Congruent Adversarial Training for Secure Machine Learning
  Model Updates
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates
Daniele Angioni
Luca Demetrio
Maura Pintor
Luca Oneto
Davide Anguita
Battista Biggio
Fabio Roli
AAML
35
2
0
27 Feb 2024
Predictive Churn with the Set of Good Models
Predictive Churn with the Set of Good Models
J. Watson-Daniels
Flavio du Pin Calmon
Alexander DÁmour
Carol Xuan Long
David C. Parkes
Berk Ustun
83
7
0
12 Feb 2024
Good Teachers Explain: Explanation-Enhanced Knowledge Distillation
Good Teachers Explain: Explanation-Enhanced Knowledge Distillation
Amin Parchami-Araghi
Moritz Bohle
Sukrut Rao
Bernt Schiele
FAtt
10
3
0
05 Feb 2024
Clinical Trial Active Learning
Clinical Trial Active Learning
Zoe Fowler
Kiran Kokilepersaud
Mohit Prabhushankar
Ghassan AlRegib
22
6
0
20 Jul 2023
Pseudo-Label Training and Model Inertia in Neural Machine Translation
Pseudo-Label Training and Model Inertia in Neural Machine Translation
B. Hsu
Anna Currey
Xing Niu
Maria Nuadejde
Georgiana Dinu
ODL
40
2
0
19 May 2023
Maintaining Stability and Plasticity for Predictive Churn Reduction
Maintaining Stability and Plasticity for Predictive Churn Reduction
George Adam
B. Haibe-Kains
Anna Goldenberg
25
1
0
06 May 2023
AI Model Disgorgement: Methods and Choices
AI Model Disgorgement: Methods and Choices
Alessandro Achille
Michael Kearns
Carson Klingenberg
Stefano Soatto
MU
31
11
0
07 Apr 2023
FastFill: Efficient Compatible Model Update
FastFill: Efficient Compatible Model Update
Florian Jaeckle
Fartash Faghri
Ali Farhadi
Oncel Tuzel
Hadi Pouransari
33
2
0
08 Mar 2023
Improving Prediction Backward-Compatiblility in NLP Model Upgrade with
  Gated Fusion
Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion
Yi-An Lai
Elman Mansimov
Yuqing Xie
Yan Zhang
24
3
0
04 Feb 2023
Backward Compatibility During Data Updates by Weight Interpolation
Backward Compatibility During Data Updates by Weight Interpolation
Raphael Schumann
Elman Mansimov
Yi-An Lai
Nikolaos Pappas
Xibin Gao
Yi Zhang
16
4
0
25 Jan 2023
Darwinian Model Upgrades: Model Evolving with Selective Compatibility
Darwinian Model Upgrades: Model Evolving with Selective Compatibility
Binjie Zhang
Shupeng Su
Yixiao Ge
Xuyuan Xu
Yexin Wang
Chun Yuan
Mike Zheng Shou
Ying Shan
19
4
0
13 Oct 2022
Towards Regression-Free Neural Networks for Diverse Compute Platforms
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
Switchable Representation Learning Framework with Self-compatibility
Switchable Representation Learning Framework with Self-compatibility
Shengsen Wu
Yan Bai
Yihang Lou
Xiongkun Linghu
Jianzhong He
Ling-yu Duan
22
1
0
16 Jun 2022
Machine Learning for Microcontroller-Class Hardware: A Review
Machine Learning for Microcontroller-Class Hardware: A Review
Swapnil Sayan Saha
S. Sandha
Mani B. Srivastava
27
118
0
29 May 2022
ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent
  Training
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
46
6
0
12 May 2022
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning
Bat-Sheva Einbinder
Yaniv Romano
Matteo Sesia
Yanfei Zhou
UQCV
23
48
0
12 May 2022
Monitored Distillation for Positive Congruent Depth Completion
Monitored Distillation for Positive Congruent Depth Completion
Tianlin Liu
Parth T. Agrawal
Allison Chen
Byung-Woo Hong
A. Wong
14
38
0
30 Mar 2022
Multi-Modal Learning Using Physicians Diagnostics for Optical Coherence
  Tomography Classification
Multi-Modal Learning Using Physicians Diagnostics for Optical Coherence Tomography Classification
Yash-yee Logan
Kiran Kokilepersaud
Gukyeong Kwon
Ghassan Al-Regib
C. Wykoff
Hannah J. Yu
19
8
0
20 Mar 2022
NeuRecover: Regression-Controlled Repair of Deep Neural Networks with
  Training History
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
Measuring and Reducing Model Update Regression in Structured Prediction
  for NLP
Measuring and Reducing Model Update Regression in Structured Prediction for NLP
Deng Cai
Elman Mansimov
Yi-An Lai
Yixuan Su
Lei Shu
Yi Zhang
KELM
67
8
0
07 Feb 2022
Hot-Refresh Model Upgrades with Regression-Alleviating Compatible
  Training in Image Retrieval
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
33
7
0
24 Jan 2022
Contrastive Neighborhood Alignment
Contrastive Neighborhood Alignment
Pengkai Zhu
Zhaowei Cai
Yuanjun Xiong
Z. Tu
Luis Goncalves
Vijay Mahadevan
Stefano Soatto
10
2
0
06 Jan 2022
Distributionally Robust Group Backwards Compatibility
Distributionally Robust Group Backwards Compatibility
Martín Bertrán
Natalia Martínez
Alexander X. Oesterling
Guillermo Sapiro
FedML
OOD
25
1
0
20 Dec 2021
CoReS: Compatible Representations via Stationarity
CoReS: Compatible Representations via Stationarity
Niccoló Biondi
F. Pernici
Matteo Bruni
A. Bimbo
OOD
21
9
0
15 Nov 2021
Backward-Compatible Prediction Updates: A Probabilistic Approach
Backward-Compatible Prediction Updates: A Probabilistic Approach
Frederik Trauble
Julius von Kügelgen
Matthäus Kleindessner
Francesco Locatello
Bernhard Schölkopf
Peter V. Gehler
27
16
0
02 Jul 2021
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing
  Regressions In NLP Model Updates
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates
Yuqing Xie
Yi-An Lai
Yuanjun Xiong
Yi Zhang
Stefano Soatto
UQCV
16
16
0
07 May 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,675
0
05 Dec 2016
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
183
1,185
0
30 Nov 2014
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