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Characterising Bias in Compressed Models

6 October 2020

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Papers citing "Characterising Bias in Compressed Models"

50 / 143 papers shown

Title
ModHiFi: Identifying High Fidelity predictive components for Model Modification Dhruva Kashyap Chaitanya Murti Pranav K Nayak Tanay Narshana Chiranjib Bhattacharyya 108 0 0 24 Nov 2025
The Uneven Impact of Post-Training Quantization in Machine Translation Benjamin Marie Atsushi Fujita MQ 94 0 0 28 Aug 2025
Less Is More? Examining Fairness in Pruned Large Language Models for Summarising Opinions Nannan Huang Haytham M. Fayek Xiuzhen Zhang 177 0 0 25 Aug 2025
DocVCE: Diffusion-based Visual Counterfactual Explanations for Document Image Classification S. Saifullah S. Agne Andreas Dengel Sheraz Ahmed DiffM 94 0 0 06 Aug 2025
Laplace Sample Information: Data Informativeness Through a Bayesian LensInternational Conference on Learning Representations (ICLR), 2025 Johannes Kaiser Kristian Schwethelm Daniel Rueckert Georgios Kaissis 188 0 0 21 May 2025
Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry Mohammed Adnan Rohan Jain Ekansh Sharma Rahul Krishnan Yani Andrew Ioannou 275 1 0 08 May 2025
As easy as PIE: understanding when pruning causes language models to disagreeNorth American Chapter of the Association for Computational Linguistics (NAACL), 2025 Pietro Tropeano Maria Maistro Tuukka Ruotsalo Christina Lioma 230 0 0 27 Mar 2025
Climate And Resource Awareness is Imperative to Achieving Sustainable AI (and Preventing a Global AI Arms Race) Pedram Bakhtiarifard Pınar Tözün Christian Igel Raghavendra Selvan 280 2 0 27 Feb 2025
Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representationConference on Fairness, Accountability and Transparency (FAccT), 2025 Estanislao Claucich Sara Hooker Diego H. Milone Enzo Ferrante Rodrigo Echeveste FedML 229 2 0 24 Jan 2025
You Never Know: Quantization Induces Inconsistent Biases in Vision-Language Foundation Models Eric Slyman Anirudh Kanneganti Sanghyun Hong Stefan Lee VLM MQ 224 1 0 26 Oct 2024
SWITCH: Studying with Teacher for Knowledge Distillation of Large Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024 Jahyun Koo Yerin Hwang Yongil Kim Taegwan Kang Hyunkyung Bae Kyomin Jung 365 1 0 25 Oct 2024
CosFairNet:A Parameter-Space based Approach for Bias Free LearningBritish Machine Vision Conference (BMVC), 2024 Rajeev Ranjan Dwivedi Priyadarshini Kumari Vinod K Kurmi 135 1 0 19 Oct 2024
Ethics Whitepaper: Whitepaper on Ethical Research into Large Language Models Eddie L. Ungless Nikolas Vitsakis Zeerak Talat James Garforth Bjorn Ross Arno Onken Atoosa Kasirzadeh Alexandra Birch 238 3 0 17 Oct 2024
Fragile Giants: Understanding the Susceptibility of Models to Subpopulation Attacks Isha Gupta Hidde Lycklama Emanuel Opel Evan Rose Anwar Hithnawi AAML 191 1 0 11 Oct 2024
Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey Andrea Prenner Bernhard Kainz 183 1 0 26 Sep 2024
Differentially Private Data Release on Graphs: Inefficiencies and Unfairness Ferdinando Fioretto Diptangshu Sen Juba Ziani 147 1 0 08 Aug 2024
The Data Addition DilemmaMachine Learning in Health Care (MLHC), 2024 Judy Hanwen Shen Inioluwa Deborah Raji Irene Y. Chen 308 12 0 08 Aug 2024
Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression ExperimentsIEEE Transactions on Visualization and Computer Graphics (TVCG), 2024 Angie Boggust Venkatesh Sivaraman Yannick Assogba Donghao Ren Dominik Moritz Fred Hohman VLM 161 9 0 06 Aug 2024
Rolling in the deep of cognitive and AI biases Athena Vakali Nicoleta Tantalaki 238 5 0 30 Jul 2024
Accuracy is Not All You Need Abhinav Dutta Sanjeev Krishnan Nipun Kwatra Ramachandran Ramjee 244 8 0 12 Jul 2024
On the Limitations of Compute Thresholds as a Governance Strategy Sara Hooker 337 24 0 08 Jul 2024
DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification S. Saifullah S. Agne Andreas Dengel Sheraz Ahmed 291 4 0 04 Jul 2024
How Does Quantization Affect Multilingual LLMs? Kelly Marchisio Saurabh Dash Hongyu Chen Dennis Aumiller Ahmet Üstün Sara Hooker Sebastian Ruder MQ 281 24 0 03 Jul 2024
Mind the Graph When Balancing Data for Fairness or Robustness Jessica Schrouff Alexis Bellot Amal Rannen-Triki Alan Malek Isabela Albuquerque Arthur Gretton Alexander DÁmour Silvia Chiappa OOD CML 273 5 0 25 Jun 2024
LayerMerge: Neural Network Depth Compression through Layer Pruning and MergingInternational Conference on Machine Learning (ICML), 2024 Jinuk Kim Marwa El Halabi Mingi Ji Hyun Oh Song 272 4 0 18 Jun 2024
Self-Regulated Data-Free Knowledge Amalgamation for Text Classification Prashanth Vijayaraghavan Hongzhi Wang Luyao Shi Tyler Baldwin David Beymer Ehsan Degan 196 3 0 16 Jun 2024
EncCluster: Scalable Functional Encryption in Federated Learning through Weight Clustering and Probabilistic Filters Vasileios Tsouvalas Samaneh Mohammadi Ali Balador T. Ozcelebi Francesco Flammini N. Meratnia FedML 132 1 0 13 Jun 2024
Low-Rank Quantization-Aware Training for LLMs Yelysei Bondarenko Riccardo Del Chiaro Markus Nagel MQ 272 37 0 10 Jun 2024
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities G. Farnadi Mohammad Havaei Negar Rostamzadeh 284 3 0 03 Jun 2024
Sparse maximal update parameterization: A holistic approach to sparse training dynamics Nolan Dey Shane Bergsma Joel Hestness 216 7 0 24 May 2024
Wake Vision: A Tailored Dataset and Benchmark Suite for TinyML Computer Vision Applications Colby R. Banbury Emil Njor Andrea Mattia Garavagno Mark Mazumder Matthew P. Stewart Pete Warden M. Kudlur Nat Jeffries Xenofon Fafoutis Vijay Janapa Reddi VLM 514 0 0 01 May 2024
Structured Model Pruning for Efficient Inference in Computational Pathology Mohammed Adnan Qinle Ba Nazim Shaikh Shivam Kalra Satarupa Mukherjee A. Lorsakul MedIm 212 2 0 12 Apr 2024
Are Compressed Language Models Less Subgroup Robust? Leonidas Gee Andrea Zugarini Novi Quadrianto 155 2 0 26 Mar 2024
Adversarial Fine-tuning of Compressed Neural Networks for Joint Improvement of Robustness and Efficiency Hallgrimur Thorsteinsson Valdemar J Henriksen Tong Chen Raghavendra Selvan AAML 193 1 0 14 Mar 2024
PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning Gyeongman Kim Doohyuk Jang Eunho Yang VLM 239 19 0 20 Feb 2024
Materiality and Risk in the Age of Pervasive AI Sensors Matthew P. Stewart Emanuel Moss Pete Warden Brian Plancher Susan Kennedy Mona Sloane Vijay Janapa Reddi 192 4 0 17 Feb 2024
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 285 11 0 12 Feb 2024
Is Adversarial Training with Compressed Datasets Effective? Tong Chen Raghavendra Selvan AAML 458 1 0 08 Feb 2024
Disparate Impact on Group Accuracy of Linearization for Private InferenceInternational Conference on Machine Learning (ICML), 2024 Saswat Das Marco Romanelli Ferdinando Fioretto FedML 179 4 0 06 Feb 2024
An investigation of structures responsible for gender bias in BERT and DistilBERTInternational Symposium on Intelligent Data Analysis (IDA), 2024 Thibaud Leteno Antoine Gourru Charlotte Laclau Christophe Gravier 152 7 0 12 Jan 2024
Dataset Difficulty and the Role of Inductive Bias Devin Kwok Nikhil Anand Jonathan Frankle Gintare Karolina Dziugaite David Rolnick 178 10 0 03 Jan 2024
Report of the DOE/NSF Workshop on Correctness in Scientific Computing, June 2023, Orlando, FL Maya Gokhale Ganesh Gopalakrishnan Jackson Mayo Santosh Nagarakatte Cindy Rubio-González Stephen F. Siegel 106 7 0 25 Dec 2023
Understanding the Effect of Model Compression on Social Bias in Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Gustavo Gonçalves Emma Strubell 291 17 0 09 Dec 2023
On The Fairness Impacts of Hardware Selection in Machine Learning Sree Harsha Nelaturu Nishaanth Kanna Ravichandran Cuong Tran Sara Hooker Ferdinando Fioretto 241 5 0 06 Dec 2023
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model PerspectiveAAAI Conference on Artificial Intelligence (AAAI), 2023 Can Jin Tianjin Huang Yihua Zhang Mykola Pechenizkiy Sijia Liu Shiwei Liu Tianlong Chen VLM 400 30 0 03 Dec 2023
Perturbed examples reveal invariances shared by language models Ruchit Rawal Mariya Toneva AAML 217 0 0 07 Nov 2023
Using Early Readouts to Mediate Featural Bias in DistillationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Rishabh Tiwari D. Sivasubramanian Anmol Reddy Mekala Ganesh Ramakrishnan Pradeep Shenoy 208 9 0 28 Oct 2023
Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models Jianwei Li Qi Lei Wei Cheng Dongkuan Xu KELM 269 6 0 19 Oct 2023
MatFormer: Nested Transformer for Elastic InferenceNeural Information Processing Systems (NeurIPS), 2023 Devvrit Sneha Kudugunta Aditya Kusupati Tim Dettmers Kaifeng Chen ... Yulia Tsvetkov Hannaneh Hajishirzi Sham Kakade Ali Farhadi Prateek Jain 231 60 0 11 Oct 2023
The Cost of Down-Scaling Language Models: Fact Recall Deteriorates before In-Context Learning Tian Jin Nolan Clement Xin Dong Vaishnavh Nagarajan Michael Carbin Jonathan Ragan-Kelley Gintare Karolina Dziugaite LRM 263 5 0 07 Oct 2023