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ORCIDYannick Assogba
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2020 – today
- 2024
[i7]Yannick Assogba, Donghao Ren:
Evaluating Long Range Dependency Handling in Code Generation Models using Multi-Step Key Retrieval. CoRR abs/2407.21049 (2024)- [i6]Angie Boggust, Venkatesh Sivaraman, Yannick Assogba, Donghao Ren, Dominik Moritz, Fred Hohman:
Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments. CoRR abs/2408.03274 (2024) - [i5]Catherine Yeh, Donghao Ren, Yannick Assogba, Dominik Moritz, Fred Hohman:
Exploring Empty Spaces: Human-in-the-Loop Data Augmentation. CoRR abs/2410.01088 (2024) - 2023
- [c11]Telmo Pires, António Vilarinho Lopes, Yannick Assogba, Hendra Setiawan:
One Wide Feedforward Is All You Need. WMT 2023: 1031-1044 - [i4]Yannick Assogba, Adam Pearce, Madison A. Elliott:
Large Scale Qualitative Evaluation of Generative Image Model Outputs. CoRR abs/2301.04518 (2023) - [i3]Telmo Pessoa Pires, António Vilarinho Lopes, Yannick Assogba, Hendra Setiawan:
One Wide Feedforward is All You Need. CoRR abs/2309.01826 (2023) - 2022
- [c10]Shayegan Omidshafiei, Andrei Kapishnikov, Yannick Assogba, Lucas Dixon, Been Kim:
Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis. NeurIPS 2022 - [i2]Shayegan Omidshafiei, Andrei Kapishnikov, Yannick Assogba, Lucas Dixon, Been Kim:
Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis. CoRR abs/2206.09046 (2022)
2010 – 2019
- 2019
- [c9]Daniel Smilkov, Nikhil Thorat, Yannick Assogba, Ann Yuan, Nick Kreeger, Ping Yu, Kangyi Zhang, Shanqing Cai, Eric Nielsen, David Soergel, Stan Bileschi, Michael Terry, Charles Nicholson, Sandeep N. Gupta, Sarah Sirajuddin, D. Sculley, Rajat Monga, Greg Corrado, Fernanda B. Viégas, Martin Wattenberg:
TensorFlow.js: Machine Learning For The Web and Beyond. SysML 2019 - [i1]Daniel Smilkov, Nikhil Thorat, Yannick Assogba, Ann Yuan, Nick Kreeger, Ping Yu, Kangyi Zhang, Shanqing Cai, Eric Nielsen, David Soergel, Stan Bileschi, Michael Terry, Charles Nicholson, Sandeep N. Gupta, Sarah Sirajuddin, D. Sculley, Rajat Monga, Greg Corrado, Fernanda B. Viégas, Martin Wattenberg:
TensorFlow.js: Machine Learning for the Web and Beyond. CoRR abs/1901.05350 (2019) - 2014
- [c8]N. Sadat Shami, Jiang Yang, Laura Panc, Casey Dugan, Tristan Ratchford, Jamie C. Rasmussen, Yannick Assogba, Tal Steier, Todd Soule, Stela Lupushor, Werner Geyer, Ido Guy, Jonathan Ferrar:
Understanding employee social media chatter with enterprise social pulse. CSCW 2014: 379-392 - 2011
- [c7]Elif Aktolga, Irene Ros, Yannick Assogba, Joan Morris DiMicco:
Many Bills: Visualizing the Anatomy of Congressional Legislation. Scalable Integration of Analytics and Visualization 2011 - [c6]Yannick Assogba, Irene Ros, Joan Morris DiMicco, Matt McKeon:
Many bills: engaging citizens through visualizations of congressional legislation. CHI 2011: 433-442 - [c5]Elif Aktolga, Irene Ros, Yannick Assogba:
Detecting outlier sections in us congressional legislation. SIGIR 2011: 235-244 - 2010
- [c4]Yannick Assogba, Judith S. Donath:
Share: a programming environment for loosely bound cooperation. CHI 2010: 961-970 - [c3]Yannick Assogba, Irene Ros, Matt McKeon:
DocBlocks: communication-minded visualization of topics in U.S. congressional bills. CHI Extended Abstracts 2010: 4117-4122
2000 – 2009
- 2009
- [c2]Yannick Assogba, Judith S. Donath:
Mycrocosm: Visual Microblogging. HICSS 2009: 1-10 - 2006
- [c1]Jason Lewis, Yannick Assogba:
Taking sides: dynamic text and hip-hop performance. ACM Multimedia 2006: 744-747
Coauthor Index
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