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Christopher Clark
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with a similar name
- Christopher A. Clark (aka: Chris A. Clark) — University College London, Developmental Imaging and Biophysics, UK
- Christopher Andreas Clark
- Christopher F. Clark
- Christopher J. Clark
- Christopher M. Clark
- Christopher Michael Clark
- Christopher N. L. Clark
- Christopher R. Clark
- Christopher W. Clark
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2020 – today
- 2024
- [j4]Adyasha Maharana, Amita Kamath, Christopher Clark, Mohit Bansal, Aniruddha Kembhavi:
Exposing and Addressing Cross-Task Inconsistency in Unified Vision-Language Models. Trans. Mach. Learn. Res. 2024 (2024) - [c21]Yue Yang, Fan-Yun Sun, Luca Weihs, Eli VanderBilt, Alvaro Herrasti, Winson Han, Jiajun Wu, Nick Haber, Ranjay Krishna, Lingjie Liu, Chris Callison-Burch, Mark Yatskar, Aniruddha Kembhavi, Christopher Clark:
Holodeck: Language Guided Generation of 3D Embodied AI Environments. CVPR 2024: 16277-16287 - [c20]Jiasen Lu, Christopher Clark, Sangho Lee, Zichen Zhang, Savya Khosla, Ryan Marten, Derek Hoiem, Aniruddha Kembhavi:
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action. CVPR 2024: 26429-26445 - [c19]Lakshika Rathi, Giacomo Nebbia, Ken Chang, Sourav Kumar, Aarushi Gupta, Syed Rakin Ahmed, Jay B. Patel, Christopher Clark, Yoga Advaith Veturi, Aaron S. Coyner, Aakanksha Rana, Christopher P. Bridge, Stephen McNamara, J. Peter Campbell, Matthew D. Li, Jayashree Kalpathy-Cramer, Praveer Singh:
Cycle-GANs Generated Difference Maps to Interpret Race Prediction from Medical Images. FAIMI/EPIMI@MICCAI 2024: 129-139 - [c18]Christopher Clark, Scott Kinder, Didem Egemen, Brian Befano, Kanan T. Desai, Syed Rakin Ahmed, Praveer Singh, Ana Cecilia Rodriguez, Jose Jeronimo, Silvia De Sanjosé, Nicolas Wentzensen, Mark Schiffman, Jayashree Kalpathy-Cramer:
Conformal Prediction and Monte Carlo Inference for Addressing Uncertainty in Cervical Cancer Screening. UNSURE@MICCAI 2024: 205-214 - [i15]Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Jen Dumas, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi:
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models. CoRR abs/2409.17146 (2024) - 2023
- [c17]Sophia Gu, Christopher Clark, Aniruddha Kembhavi:
I can't believe there's no images! : Learning Visual Tasks Using Only Language Supervision. ICCV 2023: 2672-2683 - [c16]Jiasen Lu, Christopher Clark, Rowan Zellers, Roozbeh Mottaghi, Aniruddha Kembhavi:
UNIFIED-IO: A Unified Model for Vision, Language, and Multi-modal Tasks. ICLR 2023 - [i14]Adyasha Maharana, Amita Kamath, Christopher Clark, Mohit Bansal, Aniruddha Kembhavi:
Exposing and Addressing Cross-Task Inconsistency in Unified Vision-Language Models. CoRR abs/2303.16133 (2023) - [i13]Yue Yang, Fan-Yun Sun, Luca Weihs, Eli VanderBilt, Alvaro Herrasti, Winson Han, Jiajun Wu, Nick Haber, Ranjay Krishna, Lingjie Liu, Chris Callison-Burch, Mark Yatskar, Aniruddha Kembhavi, Christopher Clark:
Holodeck: Language Guided Generation of 3D Embodied AI Environments. CoRR abs/2312.09067 (2023) - [i12]Jiasen Lu, Christopher Clark, Sangho Lee, Zichen Zhang, Savya Khosla, Ryan Marten, Derek Hoiem, Aniruddha Kembhavi:
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action. CoRR abs/2312.17172 (2023) - 2022
- [c15]Dustin Schwenk, Apoorv Khandelwal, Christopher Clark, Kenneth Marino, Roozbeh Mottaghi:
A-OKVQA: A Benchmark for Visual Question Answering Using World Knowledge. ECCV (8) 2022: 146-162 - [c14]Amita Kamath, Christopher Clark, Tanmay Gupta, Eric Kolve, Derek Hoiem, Aniruddha Kembhavi:
Webly Supervised Concept Expansion for General Purpose Vision Models. ECCV (36) 2022: 662-681 - [i11]Amita Kamath, Christopher Clark, Tanmay Gupta, Eric Kolve, Derek Hoiem, Aniruddha Kembhavi:
Webly Supervised Concept Expansion for General Purpose Vision Models. CoRR abs/2202.02317 (2022) - [i10]Dustin Schwenk, Apoorv Khandelwal, Christopher Clark, Kenneth Marino, Roozbeh Mottaghi:
A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge. CoRR abs/2206.01718 (2022) - [i9]Jiasen Lu, Christopher Clark, Rowan Zellers, Roozbeh Mottaghi, Aniruddha Kembhavi:
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks. CoRR abs/2206.08916 (2022) - [i8]Sophia Gu, Christopher Clark, Aniruddha Kembhavi:
I Can't Believe There's No Images! Learning Visual Tasks Using only Language Data. CoRR abs/2211.09778 (2022) - 2021
- [c13]Christopher Clark, Jordi Salvador, Dustin Schwenk, Derrick Bonafilia, Mark Yatskar, Eric Kolve, Alvaro Herrasti, Jonghyun Choi, Sachin Mehta, Sam Skjonsberg, Carissa Schoenick, Aaron Sarnat, Hannaneh Hajishirzi, Aniruddha Kembhavi, Oren Etzioni, Ali Farhadi:
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text. EMNLP (1) 2021: 1864-1886 - [i7]Christopher Clark, Jordi Salvador, Dustin Schwenk, Derrick Bonafilia, Mark Yatskar, Eric Kolve, Alvaro Herrasti, Jonghyun Choi, Sachin Mehta, Sam Skjonsberg, Carissa Schoenick, Aaron Sarnat, Hannaneh Hajishirzi, Aniruddha Kembhavi, Oren Etzioni, Ali Farhadi:
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text. CoRR abs/2112.00800 (2021) - 2020
- [c12]Christopher Clark, Mark Yatskar, Luke Zettlemoyer:
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles. EMNLP (Findings) 2020: 3031-3045 - [i6]Christopher Clark, Mark Yatskar, Luke Zettlemoyer:
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles. CoRR abs/2011.03856 (2020)
2010 – 2019
- 2019
- [c11]Christopher Clark, Mark Yatskar, Luke Zettlemoyer:
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases. EMNLP/IJCNLP (1) 2019: 4067-4080 - [c10]Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, Kristina Toutanova:
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions. NAACL-HLT (1) 2019: 2924-2936 - [i5]Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, Kristina Toutanova:
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions. CoRR abs/1905.10044 (2019) - [i4]Christopher Clark, Mark Yatskar, Luke Zettlemoyer:
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases. CoRR abs/1909.03683 (2019) - 2018
- [c9]Christopher Clark, Matt Gardner:
Simple and Effective Multi-Paragraph Reading Comprehension. ACL (1) 2018: 845-855 - [c8]Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer:
Deep Contextualized Word Representations. NAACL-HLT 2018: 2227-2237 - [i3]Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer:
Deep contextualized word representations. CoRR abs/1802.05365 (2018) - 2017
- [i2]Christopher Clark, Matt Gardner:
Simple and Effective Multi-Paragraph Reading Comprehension. CoRR abs/1710.10723 (2017) - 2016
- [c7]Britton Horn, Christopher Clark, Oskar Strom, Hilery Chao, Amy J. Stahl, Casper Harteveld, Gillian Smith:
Design Insights into the Creation and Evaluation of a Computer Science Educational Game. SIGCSE 2016: 576-581 - 2015
- [c6]Christopher Clark, Amos J. Storkey:
Training Deep Convolutional Neural Networks to Play Go. ICML 2015: 1766-1774 - 2014
- [c5]Adam Wiktor, Dexter Scobee, Sean Messenger, Christopher Clark:
Decentralized and complete multi-robot motion planning in confined spaces. IROS 2014: 1168-1175 - [i1]Christopher Clark, Amos J. Storkey:
Teaching Deep Convolutional Neural Networks to Play Go. CoRR abs/1412.3409 (2014) - 2012
- [c4]Michael Haungs, Christopher Clark, John Clements, David S. Janzen:
Improving first-year success and retention through interest-based CS0 courses. SIGCSE 2012: 589-594
2000 – 2009
- 2006
- [c3]Saleh Tabandeh, Christopher Clark, William Melek:
A Genetic Algorithm Approach to solve for Multiple Solutions of Inverse Kinematics using Adaptive Niching and Clustering. IEEE Congress on Evolutionary Computation 2006: 1815-1822 - [c2]Alex Ho, Michael A. Fetterman, Christopher Clark, Andrew Warfield, Steven Hand:
Practical taint-based protection using demand emulation. EuroSys 2006: 29-41 - 2005
- [c1]Christopher Clark, Keir Fraser, Steven Hand, Jacob Gorm Hansen, Eric Jul, Christian Limpach, Ian Pratt, Andrew Warfield:
Live Migration of Virtual Machines. NSDI 2005 - 2000
- [j3]Richard Mortier, Ian Pratt, Christopher Clark, Simon Crosby:
Implicit admission control. IEEE J. Sel. Areas Commun. 18(12): 2629-2639 (2000)
1990 – 1999
- 1997
- [j2]Orly Yadid-Pecht, Bedabrata Pain, Craig O. Staller, Christopher Clark, Eric R. Fossum:
CMOS active pixel sensor star tracker with regional electronic shutter. IEEE J. Solid State Circuits 32(2): 285-288 (1997) - [j1]Carol Harger, Marian Skupski, Ethan Allen, Christopher Clark, David Crowley, Emily Dickinson, David Easley, Ada Espinosa-Lujan, Andrew D. Farmer, Chris A. Fields, Leandrita Flores, Lynn Harris, Gifford Keen, Maurice Manning, Michael P. McLeod, John O'Neill, Maria Pumilia, Rhonda Reinert, David Rider, John Rohrlich, Yolanda Romero, Jolene Schwertfeger, Gustavo Seluja, Adam C. Siepel, Gautam Singh, Linda Smyth, David Stamper, Judy Stein, Randy Suggs, Rajini Takkallapalli, Nina Thayer, Gary Thompson, Colleen Walsh, Frederick Wedgeworth III, Peter A. Schad:
The Genome Sequence DataBase version 1.0 (GSDB): from low pass sequences to complete genomes. Nucleic Acids Res. 25(1): 18-23 (1997)
Coauthor Index
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