Lisa Anne Hendricks

According to our database, Lisa Anne Hendricks authored at least 37 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Sociotechnical Safety Evaluation of Generative AI Systems.

Laura Weidinger, Maribeth Rauh, Nahema Marchal, Arianna Manzini, Lisa Anne Hendricks, Juan Mateos-Garcia, A. Stevie Bergman, Jackie Kay, Conor Griffin, Ben Bariach, Iason Gabriel, Verena Rieser, William Isaac

CoRR, 2023

Representation in AI Evaluations.

A. Stevie Bergman, Lisa Anne Hendricks, Maribeth Rauh, Boxi Wu, William Agnew, Markus Kunesch, Isabella Duan, Iason Gabriel, William Isaac

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Weakly-Supervised Learning of Visual Relations in Multimodal Pretraining.

Emanuele Bugliarello, Aida Nematzadeh, Lisa Anne Hendricks

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Measuring Progress in Fine-grained Vision-and-Language Understanding.

Emanuele Bugliarello, Laurent Sartran, Aishwarya Agrawal, Lisa Anne Hendricks, Aida Nematzadeh

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Improving alignment of dialogue agents via targeted human judgements.

Amelia Glaese, Nat McAleese, Maja Trebacz, John Aslanides, Vlad Firoiu, Timo Ewalds, Maribeth Rauh, Laura Weidinger, Martin J. Chadwick, Phoebe Thacker, Lucy Campbell-Gillingham, Jonathan Uesato, Po-Sen Huang, Ramona Comanescu, Fan Yang, Abigail See, Sumanth Dathathri, Rory Greig, Charlie Chen, Doug Fritz, Jaume Sanchez Elias, Richard Green, Sona Mokrá, Nicholas Fernando, Boxi Wu, Rachel Foley, Susannah Young, Iason Gabriel, William Isaac, John Mellor, Demis Hassabis, Koray Kavukcuoglu, Lisa Anne Hendricks, Geoffrey Irving

CoRR, 2022

Training Compute-Optimal Large Language Models.

Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de Las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, Tom Hennigan, Eric Noland, Katie Millican, George van den Driessche, Bogdan Damoc, Aurelia Guy, Simon Osindero, Karen Simonyan, Erich Elsen, Jack W. Rae, Oriol Vinyals, Laurent Sifre

CoRR, 2022

Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models.

Maribeth Rauh, John Mellor, Jonathan Uesato, Po-Sen Huang, Johannes Welbl, Laura Weidinger, Sumanth Dathathri, Amelia Glaese, Geoffrey Irving, Iason Gabriel, William Isaac, Lisa Anne Hendricks

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

An empirical analysis of compute-optimal large language model training.

Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de Las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, Tom Hennigan, Eric Noland, Katherine Millican, George van den Driessche, Bogdan Damoc, Aurelia Guy, Simon Osindero, Karen Simonyan, Erich Elsen, Oriol Vinyals, Jack W. Rae, Laurent Sifre

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Taxonomy of Risks posed by Language Models.

Laura Weidinger, Jonathan Uesato, Maribeth Rauh, Conor Griffin, Po-Sen Huang, John Mellor, Amelia Glaese, Myra Cheng, Borja Balle, Atoosa Kasirzadeh, Courtney Biles, Sasha Brown, Zac Kenton, Will Hawkins, Tom Stepleton, Abeba Birhane, Lisa Anne Hendricks, Laura Rimell, William Isaac, Julia Haas, Sean Legassick, Geoffrey Irving, Iason Gabriel

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers.

Lisa Anne Hendricks, John Mellor, Rosalia Schneider, Jean-Baptiste Alayrac, Aida Nematzadeh

Trans. Assoc. Comput. Linguistics, 2021

Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

Jack W. Rae, Sebastian Borgeaud, Trevor Cai, Katie Millican, Jordan Hoffmann, H. Francis Song, John Aslanides, Sarah Henderson, Roman Ring, Susannah Young, Eliza Rutherford, Tom Hennigan, Jacob Menick, Albin Cassirer, Richard Powell, George van den Driessche, Lisa Anne Hendricks, Maribeth Rauh, Po-Sen Huang, Amelia Glaese, Johannes Welbl, Sumanth Dathathri, Saffron Huang, Jonathan Uesato, John Mellor, Irina Higgins, Antonia Creswell, Nat McAleese, Amy Wu, Erich Elsen, Siddhant M. Jayakumar, Elena Buchatskaya, David Budden, Esme Sutherland, Karen Simonyan, Michela Paganini, Laurent Sifre, Lena Martens, Xiang Lorraine Li, Adhiguna Kuncoro, Aida Nematzadeh, Elena Gribovskaya, Domenic Donato, Angeliki Lazaridou, Arthur Mensch, Jean-Baptiste Lespiau, Maria Tsimpoukelli, Nikolai Grigorev, Doug Fritz, Thibault Sottiaux, Mantas Pajarskas, Toby Pohlen, Zhitao Gong, Daniel Toyama, Cyprien de Masson d'Autume, Yujia Li, Tayfun Terzi, Vladimir Mikulik, Igor Babuschkin, Aidan Clark, Diego de Las Casas, Aurelia Guy, Chris Jones, James Bradbury, Matthew J. Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William Isaac, Edward Lockhart, Simon Osindero, Laura Rimell, Chris Dyer, Oriol Vinyals, Kareem Ayoub, Jeff Stanway, Lorrayne Bennett, Demis Hassabis, Koray Kavukcuoglu, Geoffrey Irving

CoRR, 2021

Ethical and social risks of harm from Language Models.

Laura Weidinger, John Mellor, Maribeth Rauh, Conor Griffin, Jonathan Uesato, Po-Sen Huang, Myra Cheng, Mia Glaese, Borja Balle, Atoosa Kasirzadeh, Zac Kenton, Sasha Brown, Will Hawkins, Tom Stepleton, Courtney Biles, Abeba Birhane, Julia Haas, Laura Rimell, Lisa Anne Hendricks, William Isaac, Sean Legassick, Geoffrey Irving, Iason Gabriel

CoRR, 2021

Challenges in Detoxifying Language Models.

Johannes Welbl, Amelia Glaese, Jonathan Uesato, Sumanth Dathathri, John Mellor, Lisa Anne Hendricks, Kirsty Anderson, Pushmeet Kohli, Ben Coppin, Po-Sen Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Probing Image-Language Transformers for Verb Understanding.

Lisa Anne Hendricks, Aida Nematzadeh

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Contrastive Examples for Addressing the Tyranny of the Majority.

Viktoriia Sharmanska, Lisa Anne Hendricks, Trevor Darrell, Novi Quadrianto

CoRR, 2020

2018

Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract).

Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, Trevor Darrell, Anna Rohrbach

CoRR, 2018

Generating Counterfactual Explanations with Natural Language.

Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata

CoRR, 2018

Women also Snowboard: Overcoming Bias in Captioning Models.

Kaylee Burns, Lisa Anne Hendricks, Trevor Darrell, Anna Rohrbach

CoRR, 2018

Object Hallucination in Image Captioning.

Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, Trevor Darrell, Kate Saenko

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Localizing Moments in Video with Temporal Language.

Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, Bryan C. Russell

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Grounding Visual Explanations.

Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata

Proceedings of the Computer Vision - ECCV 2018, 2018

Women Also Snowboard: Overcoming Bias in Captioning Models.

Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, Trevor Darrell, Anna Rohrbach

Proceedings of the Computer Vision - ECCV 2018, 2018

Multimodal Explanations: Justifying Decisions and Pointing to the Evidence.

Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, Marcus Rohrbach

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Long-Term Recurrent Convolutional Networks for Visual Recognition and Description.

Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, Subhashini Venugopalan, Sergio Guadarrama, Kate Saenko, Trevor Darrell

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Attentive Explanations: Justifying Decisions and Pointing to the Evidence (Extended Abstract).

Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, Marcus Rohrbach

CoRR, 2017

Grounding Visual Explanations (Extended Abstract).

Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata

CoRR, 2017

Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training.

Rakshith Shetty, Marcus Rohrbach, Lisa Anne Hendricks, Mario Fritz, Bernt Schiele

Proceedings of the IEEE International Conference on Computer Vision, 2017

Localizing Moments in Video with Natural Language.

Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, Bryan C. Russell

Proceedings of the IEEE International Conference on Computer Vision, 2017

Captioning Images with Diverse Objects.

Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Attentive Explanations: Justifying Decisions and Pointing to the Evidence.

Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Bernt Schiele, Trevor Darrell, Marcus Rohrbach

CoRR, 2016

Multimodal Video Description.

Vasili Ramanishka, Abir Das, Dong Huk Park, Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Kate Saenko

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Proton: A visuo-haptic data acquisition system for robotic learning of surface properties.

Alex Burka, Siyao Hu, Stuart Helgeson, Shweta Krishnan, Yang Gao, Lisa Anne Hendricks, Trevor Darrell, Katherine J. Kuchenbecker

Proceedings of the 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2016

Deep learning for tactile understanding from visual and haptic data.

Yang Gao, Lisa Anne Hendricks, Katherine J. Kuchenbecker, Trevor Darrell

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text.

Subhashini Venugopalan, Lisa Anne Hendricks, Raymond J. Mooney, Kate Saenko

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Generating Visual Explanations.

Lisa Anne Hendricks, Zeynep Akata, Marcus Rohrbach, Jeff Donahue, Bernt Schiele, Trevor Darrell

Proceedings of the Computer Vision - ECCV 2016, 2016

Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data.

Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko, Trevor Darrell

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Learning Compact Convolutional Neural Networks with Nested Dropout.

Chelsea Finn, Lisa Anne Hendricks, Trevor Darrell

Proceedings of the 3rd International Conference on Learning Representations, 2015