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2020 – today
- 2024
[c8]Vikram Mohanty
, Jingchao Fang, Song Mi Lee-Kan, Hamed S. Alavi, Joaquín Salas, Genevieve Patterson, Elizabeth F. Churchill, Charlene C. Wu, David A. Shamma:
Sustaining Scalable Sustainability: Human-Centered Green Technology for Community-wide Carbon Reduction. CHI Extended Abstracts 2024: 490:1-490:6- 2023
- [c7]Mohsena Ashraf, Genevieve Patterson, Zachary Kilhoffer, Xu Han, Nolan Brady, Anna Rahn, Nikhitha Atluri, Violet Oliver, Yun Huang, Yang Wang, Pilyoung Kim, Tom Yeh:
Using fNIRS To Understand Adults' Empathy for Children in AI and Cybersecurity Scenarios. IDC 2023: 630-634 - [i5]Eric C. Orenstein, Kevin Barnard, Lonny Lundsten, Genevieve Patterson, Benjamin G. Woodward, Kakani Katija:
The FathomNet2023 Competition Dataset. CoRR abs/2307.08781 (2023)
2010 – 2019
- 2019
- [c6]Limor Gultchin, Genevieve Patterson, Nancy Baym, Nathaniel Swinger, Adam Kalai:
Humor in Word Embeddings: Cockamamie Gobbledegook for Nincompoops. ICML 2019: 2474-2483 - [i4]Limor Gultchin, Genevieve Patterson, Nancy Baym, Nathaniel Swinger, Adam Tauman Kalai:
Humor in Word Embeddings: Cockamamie Gobbledegook for Nincompoops. CoRR abs/1902.02783 (2019) - [i3]Dylan Cashman, Genevieve Patterson, Abigail Mosca, Nathan Watts, Shannon Robinson, Remco Chang:
RNNbow: Visualizing Learning via Backpropagation Gradients in Recurrent Neural Networks. CoRR abs/1907.12545 (2019) - 2018
- [j2]Dylan Cashman, Genevieve Patterson, Abigail Mosca, Nathan Watts, Shannon Robinson, Remco Chang:
RNNbow: Visualizing Learning Via Backpropagation Gradients in RNNs. IEEE Computer Graphics and Applications 38(6): 39-50 (2018) - [c5]Alexandre Kaspar, Genevieve Patterson, Changil Kim, Yagiz Aksoy, Wojciech Matusik, Mohamed A. Elgharib:
Crowd-Guided Ensembles: How Can We Choreograph Crowd Workers for Video Segmentation? CHI 2018: 111 - [c4]Jimmy Wu, Diondra Peck, Scott Hsieh, Vandana Dialani, Constance D. Lehman, Bolei Zhou, Vasilis Syrgkanis, Lester W. Mackey, Genevieve Patterson:
Expert identification of visual primitives used by CNNs during mammogram classification. Medical Imaging: Computer-Aided Diagnosis 2018: 105752T - [i2]Jimmy Wu, Diondra Peck, Scott Hsieh, Vandana Dialani, Constance D. Lehman, Bolei Zhou, Vasilis Syrgkanis, Lester W. Mackey, Genevieve Patterson:
Expert identification of visual primitives used by CNNs during mammogram classification. CoRR abs/1803.04858 (2018) - [i1]Jimmy Wu, Bolei Zhou, Diondra Peck, Scott Hsieh, Vandana Dialani, Lester W. Mackey, Genevieve Patterson:
DeepMiner: Discovering Interpretable Representations for Mammogram Classification and Explanation. CoRR abs/1805.12323 (2018) - 2016
- [b1]Genevieve Patterson:
Collective Insight: Crowd-driven Image Understanding. Brown University, USA, 2016 - [c3]Genevieve Patterson, James Hays:
COCO Attributes: Attributes for People, Animals, and Objects. ECCV (6) 2016: 85-100 - 2015
- [c2]Genevieve Patterson, Grant Van Horn, Serge J. Belongie, Pietro Perona, James Hays:
Tropel: Crowdsourcing Detectors with Minimal Training. HCOMP 2015: 150-159 - 2014
- [j1]Genevieve Patterson, Chen Xu, Hang Su, James Hays:
The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding. Int. J. Comput. Vis. 108(1-2): 59-81 (2014) - 2012
- [c1]Genevieve Patterson, James Hays:
SUN attribute database: Discovering, annotating, and recognizing scene attributes. CVPR 2012: 2751-2758
Coauthor Index
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