Lisa Anne Hendricks

According to our database1, Lisa Anne Hendricks authored at least 31 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models.
CoRR, 2022

Training Compute-Optimal Large Language Models.
CoRR, 2022

Taxonomy of Risks posed by Language Models.
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.
Trans. Assoc. Comput. Linguistics, 2021

Scaling Language Models: Methods, Analysis & Insights from Training Gopher.
CoRR, 2021

Ethical and social risks of harm from Language Models.
CoRR, 2021

Challenges in Detoxifying Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Probing Image-Language Transformers for Verb Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Contrastive Examples for Addressing the Tyranny of the Majority.
CoRR, 2020

2018
Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract).
CoRR, 2018

Generating Counterfactual Explanations with Natural Language.
CoRR, 2018

Women also Snowboard: Overcoming Bias in Captioning Models.
CoRR, 2018

Object Hallucination in Image Captioning.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Localizing Moments in Video with Temporal Language.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Grounding Visual Explanations.
Proceedings of the Computer Vision - ECCV 2018, 2018

Women Also Snowboard: Overcoming Bias in Captioning Models.
Proceedings of the Computer Vision - ECCV 2018, 2018

Multimodal Explanations: Justifying Decisions and Pointing to the Evidence.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Long-Term Recurrent Convolutional Networks for Visual Recognition and Description.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Attentive Explanations: Justifying Decisions and Pointing to the Evidence (Extended Abstract).
CoRR, 2017

Grounding Visual Explanations (Extended Abstract).
CoRR, 2017

Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Localizing Moments in Video with Natural Language.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Captioning Images with Diverse Objects.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Attentive Explanations: Justifying Decisions and Pointing to the Evidence.
CoRR, 2016

Multimodal Video Description.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Proton: A visuo-haptic data acquisition system for robotic learning of surface properties.
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.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Generating Visual Explanations.
Proceedings of the Computer Vision - ECCV 2016, 2016

Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Learning Compact Convolutional Neural Networks with Nested Dropout.
Proceedings of the 3rd International Conference on Learning Representations, 2015


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