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2020 – today
- 2024
[c20]Everlyn Chimoto, Jay Gala, Orevaoghene Ahia, Julia Kreutzer, Bruce A. Bassett, Sara Hooker:
Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning. ACL (Findings) 2024: 9407-9426- [c19]Shivalika Singh, Freddie Vargus, Daniel D'souza, Börje Karlsson, Abinaya Mahendiran, Wei-Yin Ko, Herumb Shandilya, Jay Patel, Deividas Mataciunas, Laura O'Mahony, Mike Zhang, Ramith Hettiarachchi, Joseph Wilson, Marina Machado, Luisa Souza Moura, Dominik Krzeminski, Hakimeh Fadaei, Irem Ergün, Ifeoma Okoh, Aisha Alaagib, Oshan Mudannayake, Zaid Alyafeai, Minh Vu Chien, Sebastian Ruder, Surya Guthikonda, Emad A. Alghamdi, Sebastian Gehrmann, Niklas Muennighoff, Max Bartolo, Julia Kreutzer, Ahmet Üstün, Marzieh Fadaee, Sara Hooker:
Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning. ACL (1) 2024: 11521-11567 - [c18]Arash Ahmadian, Chris Cremer, Matthias Gallé, Marzieh Fadaee, Julia Kreutzer, Olivier Pietquin, Ahmet Üstün, Sara Hooker:
Back to Basics: Revisiting REINFORCE-Style Optimization for Learning from Human Feedback in LLMs. ACL (1) 2024: 12248-12267 - [c17]Beyza Ermis, Luiza Pozzobon, Sara Hooker, Patrick Lewis:
From One to Many: Expanding the Scope of Toxicity Mitigation in Language Models. ACL (Findings) 2024: 15041-15058 - [c16]Ahmet Üstün, Viraat Aryabumi, Zheng Xin Yong, Wei-Yin Ko, Daniel D'souza, Gbemileke Onilude, Neel Bhandari, Shivalika Singh, Hui-Lee Ooi, Amr Kayid, Freddie Vargus, Phil Blunsom, Shayne Longpre, Niklas Muennighoff, Marzieh Fadaee, Julia Kreutzer, Sara Hooker:
Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model. ACL (1) 2024: 15894-15939 - [c15]Ted Zadouri, Ahmet Üstün, Arash Ahmadian, Beyza Ermis, Acyr Locatelli, Sara Hooker:
Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning. ICLR 2024 - [c14]Sree Harsha Nelaturu, Nishaanth Kanna Ravichandran, Cuong Tran, Sara Hooker, Ferdinando Fioretto:
On The Fairness Impacts of Hardware Selection in Machine Learning. ICML 2024 - [i53]Shivalika Singh, Freddie Vargus, Daniel D'souza, Börje F. Karlsson
, Abinaya Mahendiran, Wei-Yin Ko, Herumb Shandilya, Jay Patel, Deividas Mataciunas, Laura O'Mahony, Mike Zhang, Ramith Hettiarachchi, Joseph Wilson, Marina Machado, Luisa Souza Moura, Dominik Krzeminski, Hakimeh Fadaei, Irem Ergün, Ifeoma Okoh, Aisha Alaagib, Oshan Mudannayake, Zaid Alyafeai, Minh Chien Vu, Sebastian Ruder, Surya Guthikonda, Emad A. Alghamdi, Sebastian Gehrmann, Niklas Muennighoff, Max Bartolo, Julia Kreutzer, Ahmet Üstün, Marzieh Fadaee, Sara Hooker:
Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning. CoRR abs/2402.06619 (2024) - [i52]Ahmet Üstün, Viraat Aryabumi, Zheng Xin Yong, Wei-Yin Ko, Daniel D'souza, Gbemileke Onilude, Neel Bhandari, Shivalika Singh, Hui-Lee Ooi, Amr Kayid, Freddie Vargus, Phil Blunsom, Shayne Longpre, Niklas Muennighoff, Marzieh Fadaee, Julia Kreutzer, Sara Hooker:
Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model. CoRR abs/2402.07827 (2024) - [i51]Arash Ahmadian, Chris Cremer, Matthias Gallé, Marzieh Fadaee, Julia Kreutzer, Olivier Pietquin, Ahmet Üstün, Sara Hooker:
Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs. CoRR abs/2402.14740 (2024) - [i50]Luiza Pozzobon, Patrick Lewis, Sara Hooker, Beyza Ermis:
From One to Many: Expanding the Scope of Toxicity Mitigation in Language Models. CoRR abs/2403.03893 (2024) - [i49]Viraat Aryabumi, John Dang, Dwarak Talupuru, Saurabh Dash, David Cairuz, Hangyu Lin, Bharat Venkitesh, Madeline Smith, Jon Ander Campos, Yi Chern Tan, Kelly Marchisio, Max Bartolo, Sebastian Ruder, Acyr Locatelli, Julia Kreutzer, Nick Frosst, Aidan N. Gomez, Phil Blunsom, Marzieh Fadaee, Ahmet Üstün, Sara Hooker:
Aya 23: Open Weight Releases to Further Multilingual Progress. CoRR abs/2405.15032 (2024) - [i48]Everlyn Asiko Chimoto, Jay Gala, Orevaoghene Ahia, Julia Kreutzer, Bruce A. Bassett, Sara Hooker:
Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning. CoRR abs/2405.19462 (2024) - [i47]David Ifeoluwa Adelani, Jessica Ojo, Israel Abebe Azime, Jian Yun Zhuang, Jesujoba O. Alabi, Xuanli He, Millicent Ochieng, Sara Hooker, Andiswa Bukula, En-Shiun Annie Lee, Chiamaka Chukwuneke, Happy Buzaaba, Blessing K. Sibanda, Godson Kalipe, Jonathan Mukiibi, Salomon Kabongo, Foutse Yuehgoh, Mmasibidi Setaka, Lolwethu Ndolela, Nkiruka Odu, Rooweither Mabuya, Shamsuddeen Hassan Muhammad, Salomey Osei, Sokhar Samb, Tadesse Kebede Guge, Pontus Stenetorp:
IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models. CoRR abs/2406.03368 (2024) - [i46]Aakanksha, Arash Ahmadian, Beyza Ermis, Seraphina Goldfarb-Tarrant, Julia Kreutzer, Marzieh Fadaee, Sara Hooker:
The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm. CoRR abs/2406.18682 (2024) - [i45]Luísa Shimabucoro, Sebastian Ruder, Julia Kreutzer, Marzieh Fadaee, Sara Hooker:
LLM See, LLM Do: Guiding Data Generation to Target Non-Differentiable Objectives. CoRR abs/2407.01490 (2024) - [i44]John Dang, Arash Ahmadian, Kelly Marchisio, Julia Kreutzer, Ahmet Üstün, Sara Hooker:
RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs. CoRR abs/2407.02552 (2024) - [i43]Kelly Marchisio, Saurabh Dash, Hongyu Chen, Dennis Aumiller, Ahmet Üstün, Sara Hooker, Sebastian Ruder:
How Does Quantization Affect Multilingual LLMs? CoRR abs/2407.03211 (2024) - [i42]Sara Hooker:
On the Limitations of Compute Thresholds as a Governance Strategy. CoRR abs/2407.05694 (2024) - [i41]Shayne Longpre, Robert Mahari, Ariel Lee, Campbell Lund, Hamidah Oderinwale, William Brannon, Nayan Saxena, Naana Obeng-Marnu, Tobin South, Cole Hunter, Kevin Klyman, Christopher Klamm, Hailey Schoelkopf, Nikhil Singh, Manuel Cherep, Ahmad Anis, An Dinh, Caroline Chitongo, Da Yin, Damien Sileo, Deividas Mataciunas, Diganta Misra, Emad A. Alghamdi, Enrico Shippole, Jianguo Zhang, Joanna Materzynska, Kun Qian, Kush Tiwary, Lester James V. Miranda, Manan Dey, Minnie Liang, Mohammed Hamdy, Niklas Muennighoff, Seonghyeon Ye, Seungone Kim, Shrestha Mohanty, Vipul Gupta, Vivek Sharma, Vu Minh Chien, Xuhui Zhou, Yizhi Li, Caiming Xiong, Luis Villa, Stella Biderman, Hanlin Li, Daphne Ippolito, Sara Hooker, Jad Kabbara, Sandy Pentland:
Consent in Crisis: The Rapid Decline of the AI Data Commons. CoRR abs/2407.14933 (2024) - [i40]Anka Reuel, Ben Bucknall, Stephen Casper, Tim Fist, Lisa Soder, Onni Aarne, Lewis Hammond, Lujain Ibrahim, Alan Chan, Peter Wills, Markus Anderljung, Ben Garfinkel, Lennart Heim, Andrew Trask, Gabriel Mukobi, Rylan Schaeffer, Mauricio Baker, Sara Hooker, Irene Solaiman, Alexandra Sasha Luccioni, Nitarshan Rajkumar, Nicolas Moës, Jeffrey Ladish, Neel Guha, Jessica Newman, Yoshua Bengio, Tobin South, Alex Pentland, Sanmi Koyejo, Mykel J. Kochenderfer, Robert Trager:
Open Problems in Technical AI Governance. CoRR abs/2407.14981 (2024) - [i39]Viraat Aryabumi, Yixuan Su, Raymond Ma, Adrien Morisot, Ivan Zhang, Acyr Locatelli, Marzieh Fadaee, Ahmet Üstün, Sara Hooker:
To Code, or Not To Code? Exploring Impact of Code in Pre-training. CoRR abs/2408.10914 (2024) - [i38]Ayomide Odumakinde, Daniel D'souza, Pat Verga, Beyza Ermis, Sara Hooker:
Multilingual Arbitrage: Optimizing Data Pools to Accelerate Multilingual Progress. CoRR abs/2408.14960 (2024) - [i37]Nikolas Gritsch, Qizhen Zhang, Acyr Locatelli, Sara Hooker, Ahmet Üstün:
Nexus: Specialization meets Adaptability for Efficiently Training Mixture of Experts. CoRR abs/2408.15901 (2024) - [i36]Shachar Don-Yehiya, Ben Burtenshaw, Ramón Fernandez Astudillo, Cailean Osborne, Mimansa Jaiswal, Tzu-Sheng Kuo, Wenting Zhao, Idan Shenfeld, Andi Peng, Mikhail Yurochkin, Atoosa Kasirzadeh, Yangsibo Huang, Tatsunori Hashimoto, Yacine Jernite, Daniel Vila-Suero, Omri Abend, Jennifer Ding, Sara Hooker, Hannah Rose Kirk, Leshem Choshen:
The Future of Open Human Feedback. CoRR abs/2408.16961 (2024) - 2023
- [j3]Marcos V. Treviso, Ji-Ung Lee, Tianchu Ji, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Colin Raffel, Pedro Henrique Martins, André F. T. Martins, Jessica Zosa Forde, Peter A. Milder, Edwin Simpson, Noam Slonim, Jesse Dodge, Emma Strubell, Niranjan Balasubramanian, Leon Derczynski, Iryna Gurevych, Roy Schwartz:
Efficient Methods for Natural Language Processing: A Survey. Trans. Assoc. Comput. Linguistics 11: 826-860 (2023) - [c13]Luiza Pozzobon, Beyza Ermis, Patrick Lewis, Sara Hooker:
Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented Models. EMNLP (Findings) 2023: 5108-5125 - [c12]Luiza Pozzobon, Beyza Ermis, Patrick Lewis, Sara Hooker:
On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research. EMNLP 2023: 7595-7609 - [c11]Saiteja Utpala, Sara Hooker, Pin-Yu Chen:
Locally Differentially Private Document Generation Using Zero Shot Prompting. EMNLP (Findings) 2023: 8442-8457 - [c10]Shoaib Ahmed Siddiqui, Nitarshan Rajkumar, Tegan Maharaj, David Krueger, Sara Hooker:
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics. ICLR 2023 - [c9]Arash Ahmadian, Saurabh Dash, Hongyu Chen, Bharat Venkitesh, Stephen Zhen Gou, Phil Blunsom, Ahmet Üstün, Sara Hooker:
Intriguing Properties of Quantization at Scale. NeurIPS 2023 - [c8]Fraser Mince, Dzung Dinh, Jonas Kgomo, Neil Thompson, Sara Hooker:
The Grand Illusion: The Myth of Software Portability and Implications for ML Progress. NeurIPS 2023 - [c7]Laura Ruis, Akbir Khan, Stella Biderman, Sara Hooker, Tim Rocktäschel, Edward Grefenstette:
The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs. NeurIPS 2023 - [c6]Serena Lutong Wang, Harikrishna Narasimhan, Yichen Zhou, Sara Hooker, Michal Lukasik, Aditya Krishna Menon:
Robust distillation for worst-class performance: on the interplay between teacher and student objectives. UAI 2023: 2237-2247 - [i35]Wei-Yin Ko, Daniel D'souza, Karina Nguyen, Randall Balestriero, Sara Hooker:
FAIR-Ensemble: When Fairness Naturally Emerges From Deep Ensembling. CoRR abs/2303.00586 (2023) - [i34]Luiza Pozzobon, Beyza Ermis, Patrick Lewis, Sara Hooker:
On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research. CoRR abs/2304.12397 (2023) - [i33]Arash Ahmadian, Saurabh Dash, Hongyu Chen, Bharat Venkitesh, Stephen Gou, Phil Blunsom, Ahmet Üstün, Sara Hooker:
Intriguing Properties of Quantization at Scale. CoRR abs/2305.19268 (2023) - [i32]Irene Solaiman, Zeerak Talat, William Agnew, Lama Ahmad, Dylan K. Baker, Su Lin Blodgett, Hal Daumé III, Jesse Dodge, Ellie Evans, Sara Hooker, Yacine Jernite, Alexandra Sasha Luccioni, Alberto Lusoli, Margaret Mitchell, Jessica Newman, Marie-Therese Png, Andrew Strait, Apostol Vassilev:
Evaluating the Social Impact of Generative AI Systems in Systems and Society. CoRR abs/2306.05949 (2023) - [i31]Markus Anderljung, Joslyn Barnhart, Anton Korinek, Jade Leung, Cullen O'Keefe, Jess Whittlestone, Shahar Avin, Miles Brundage, Justin Bullock, Duncan Cass-Beggs, Ben Chang, Tantum Collins, Tim Fist, Gillian K. Hadfield, Alan Hayes, Lewis Ho, Sara Hooker, Eric Horvitz, Noam Kolt, Jonas Schuett, Yonadav Shavit, Divya Siddarth, Robert Trager, Kevin Wolf:
Frontier AI Regulation: Managing Emerging Risks to Public Safety. CoRR abs/2307.03718 (2023) - [i30]Max Marion, Ahmet Üstün, Luiza Pozzobon, Alex Wang, Marzieh Fadaee, Sara Hooker:
When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale. CoRR abs/2309.04564 (2023) - [i29]Ted Zadouri, Ahmet Üstün, Arash Ahmadian, Beyza Ermis, Acyr Locatelli, Sara Hooker:
Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning. CoRR abs/2309.05444 (2023) - [i28]Fraser Mince, Dzung Dinh, Jonas Kgomo, Neil Thompson, Sara Hooker:
The Grand Illusion: The Myth of Software Portability and Implications for ML Progress. CoRR abs/2309.07181 (2023) - [i27]Luiza Pozzobon, Beyza Ermis, Patrick Lewis, Sara Hooker:
Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented Models. CoRR abs/2310.07589 (2023) - [i26]Meriem Boubdir, Edward Kim, Beyza Ermis, Marzieh Fadaee, Sara Hooker:
Which Prompts Make The Difference? Data Prioritization For Efficient Human LLM Evaluation. CoRR abs/2310.14424 (2023) - [i25]Saiteja Utpala, Sara Hooker, Pin-Yu Chen:
Locally Differentially Private Document Generation Using Zero Shot Prompting. CoRR abs/2310.16111 (2023) - [i24]Shayne Longpre, Robert Mahari, Anthony Chen, Naana Obeng-Marnu, Damien Sileo, William Brannon, Niklas Muennighoff, Nathan Khazam, Jad Kabbara, Kartik Perisetla, Xinyi Wu, Enrico Shippole, Kurt D. Bollacker, Tongshuang Wu, Luis Villa, Sandy Pentland, Deb Roy, Sara Hooker:
The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI. CoRR abs/2310.16787 (2023) - [i23]Meriem Boubdir, Edward Kim, Beyza Ermis, Sara Hooker, Marzieh Fadaee:
Elo Uncovered: Robustness and Best Practices in Language Model Evaluation. CoRR abs/2311.17295 (2023) - [i22]Kale-ab Tessera, Callum Rhys Tilbury, Sasha Abramowitz, Ruan de Kock, Omayma Mahjoub, Benjamin Rosman, Sara Hooker, Arnu Pretorius:
Generalisable Agents for Neural Network Optimisation. CoRR abs/2311.18598 (2023) - [i21]Sree Harsha Nelaturu, Nishaanth Kanna Ravichandran, Cuong Tran, Sara Hooker, Ferdinando Fioretto:
On The Fairness Impacts of Hardware Selection in Machine Learning. CoRR abs/2312.03886 (2023) - 2022
- [c5]Chirag Agarwal, Daniel D'souza, Sara Hooker:
Estimating Example Difficulty using Variance of Gradients. CVPR 2022: 10358-10368 - [c4]Kelechi Ogueji, Orevaoghene Ahia, Gbemileke Onilude, Sebastian Gehrmann, Sara Hooker, Julia Kreutzer:
Intriguing Properties of Compression on Multilingual Models. EMNLP 2022: 9092-9110 - [c3]Donglin Zhuang, Xingyao Zhang, Shuaiwen Song, Sara Hooker:
Randomness in Neural Network Training: Characterizing the Impact of Tooling. MLSys 2022 - [i20]Robin Tibor Schirrmeister, Rosanne Liu, Sara Hooker, Tonio Ball:
When less is more: Simplifying inputs aids neural network understanding. CoRR abs/2201.05610 (2022) - [i19]Serena Lutong Wang, Harikrishna Narasimhan, Yichen Zhou, Sara Hooker, Michal Lukasik, Aditya Krishna Menon:
Robust Distillation for Worst-class Performance. CoRR abs/2206.06479 (2022) - [i18]Francesco Corti, Rahim Entezari, Sara Hooker, Davide Bacciu, Olga Saukh:
Studying the impact of magnitude pruning on contrastive learning methods. CoRR abs/2207.00200 (2022) - [i17]Marcos V. Treviso, Tianchu Ji, Ji-Ung Lee, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Pedro Henrique Martins, André F. T. Martins, Peter A. Milder, Colin Raffel, Edwin Simpson, Noam Slonim, Niranjan Balasubramanian, Leon Derczynski, Roy Schwartz:
Efficient Methods for Natural Language Processing: A Survey. CoRR abs/2209.00099 (2022) - [i16]Shoaib Ahmed Siddiqui, Nitarshan Rajkumar, Tegan Maharaj, David Krueger, Sara Hooker:
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics. CoRR abs/2209.10015 (2022) - [i15]Laura Ruis, Akbir Khan, Stella Biderman, Sara Hooker, Tim Rocktäschel, Edward Grefenstette:
Large language models are not zero-shot communicators. CoRR abs/2210.14986 (2022) - [i14]Kelechi Ogueji, Orevaoghene Ahia, Gbemileke Onilude, Sebastian Gehrmann, Sara Hooker, Julia Kreutzer:
Intriguing Properties of Compression on Multilingual Models. CoRR abs/2211.02738 (2022) - 2021
- [j2]Sara Hooker:
The hardware lottery. Commun. ACM 64(12): 58-65 (2021) - [j1]Sara Hooker:
Moving beyond "algorithmic bias is a data problem". Patterns 2(4): 100241 (2021) - [c2]Orevaoghene Ahia, Julia Kreutzer, Sara Hooker:
The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine Translation. EMNLP (Findings) 2021: 3316-3333 - [i13]Kale-ab Tessera, Sara Hooker, Benjamin Rosman:
Keep the Gradients Flowing: Using Gradient Flow to Study Sparse Network Optimization. CoRR abs/2102.01670 (2021) - [i12]Donglin Zhuang, Xingyao Zhang, Shuaiwen Leon Song, Sara Hooker:
Randomness In Neural Network Training: Characterizing The Impact of Tooling. CoRR abs/2106.11872 (2021) - [i11]Niel Teng Hu, Xinyu Hu, Rosanne Liu, Sara Hooker, Jason Yosinski:
When does loss-based prioritization fail? CoRR abs/2107.07741 (2021) - [i10]Daniel D'souza, Zach Nussbaum, Chirag Agarwal, Sara Hooker:
A Tale Of Two Long Tails. CoRR abs/2107.13098 (2021) - [i9]Orevaoghene Ahia, Julia Kreutzer, Sara Hooker:
The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine Translation. CoRR abs/2110.03036 (2021) - 2020
- [i8]Miles Brundage, Shahar Avin, Jasmine Wang, Haydn Belfield, Gretchen Krueger, Gillian K. Hadfield, Heidy Khlaaf, Jingying Yang, Helen Toner, Ruth Fong, Tegan Maharaj, Pang Wei Koh, Sara Hooker, Jade Leung, Andrew Trask, Emma Bluemke, Jonathan Lebensold, Cullen O'Keefe, Mark Koren, Théo Ryffel, J. B. Rubinovitz, Tamay Besiroglu, Federica Carugati, Jack Clark, Peter Eckersley, Sarah de Haas, Maritza Johnson, Ben Laurie, Alex Ingerman, Igor Krawczuk, Amanda Askell, Rosario Cammarota, Andrew Lohn, David Krueger, Charlotte Stix, Peter Henderson, Logan Graham, Carina Prunkl, Bianca Martin, Elizabeth Seger, Noa Zilberman, Seán Ó hÉigeartaigh, Frens Kroeger, Girish Sastry, Rebecca Kagan, Adrian Weller, Brian Tse, Elizabeth Barnes, Allan Dafoe, Paul Scharre, Ariel Herbert-Voss, Martijn Rasser, Shagun Sodhani, Carrick Flynn, Thomas Krendl Gilbert, Lisa Dyer, Saif Khan, Yoshua Bengio, Markus Anderljung:
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims. CoRR abs/2004.07213 (2020) - [i7]Chirag Agarwal, Sara Hooker:
Estimating Example Difficulty using Variance of Gradients. CoRR abs/2008.11600 (2020) - [i6]Sara Hooker:
The Hardware Lottery. CoRR abs/2009.06489 (2020) - [i5]Sara Hooker, Nyalleng Moorosi, Gregory Clark, Samy Bengio, Emily Denton:
Characterising Bias in Compressed Models. CoRR abs/2010.03058 (2020)
2010 – 2019
- 2019
- [c1]Sara Hooker, Dumitru Erhan, Pieter-Jan Kindermans, Been Kim:
A Benchmark for Interpretability Methods in Deep Neural Networks. NeurIPS 2019: 9734-9745 - [p1]Pieter-Jan Kindermans, Sara Hooker, Julius Adebayo, Maximilian Alber, Kristof T. Schütt, Sven Dähne, Dumitru Erhan, Been Kim:
The (Un)reliability of Saliency Methods. Explainable AI 2019: 267-280 - [i4]Trevor Gale, Erich Elsen, Sara Hooker:
The State of Sparsity in Deep Neural Networks. CoRR abs/1902.09574 (2019) - [i3]Sara Hooker, Aaron C. Courville, Yann N. Dauphin, Andrea Frome:
Selective Brain Damage: Measuring the Disparate Impact of Model Pruning. CoRR abs/1911.05248 (2019) - 2018
- [i2]Sara Hooker, Dumitru Erhan, Pieter-Jan Kindermans, Been Kim:
Evaluating Feature Importance Estimates. CoRR abs/1806.10758 (2018) - 2017
- [i1]Pieter-Jan Kindermans, Sara Hooker, Julius Adebayo, Maximilian Alber, Kristof T. Schütt, Sven Dähne, Dumitru Erhan, Been Kim:
The (Un)reliability of saliency methods. CoRR abs/1711.00867 (2017)
Coauthor Index
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