Kevin Clark

45 papers A* 9C 1Misc 2Journal 20Unranked 12
YearRankTypeTitle / Venue / Authors
2024 A* conf
Directly Fine-Tuning Diffusion Models on Differentiable Rewards.
ICLR
Kevin Clark, Paul Vicol, Kevin Swersky, David J. Fleet
2024 A* conf
Intriguing Properties of Generative Classifiers.
ICLR
Priyank Jaini, Kevin Clark, Robert Geirhos
2023 J jnl
Directly Fine-Tuning Diffusion Models on Differentiable Rewards.
CoRR
Kevin Clark, Paul Vicol, Kevin Swersky, David J. Fleet
2023 J jnl
Intriguing properties of generative classifiers.
CoRR
Priyank Jaini, Kevin Clark, Robert Geirhos
2023 A* conf
Text-to-Image Diffusion Models are Zero Shot Classifiers.
NeurIPS
Kevin Clark, Priyank Jaini
2023 J jnl
Text-to-Image Diffusion Models are Zero-Shot Classifiers.
CoRR
Kevin Clark, Priyank Jaini
2023 J jnl
Towards Expert-Level Medical Question Answering with Large Language Models.
CoRR
Karan Singhal, Tao Tu, Juraj Gottweis, Rory Sayres, Ellery Wulczyn, Le Hou, Kevin Clark, Stephen Pfohl, Heather Cole-Lewis, Darlene Neal, Mike Schaekermann, Amy Wang, Mohamed Amin, Sami Lachgar, Philip Andrew Mansfield, Sushant Prakash, Bradley Green, Ewa Dominowska, Blaise Agüera y Arcas, Nenad Tomasev, Yun Liu, Renee Wong, Christopher Semturs, S. Sara Mahdavi, Joelle K. Barral, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Shekoofeh Azizi, Alan Karthikesalingam, Vivek Natarajan
2022 J jnl
Can Cars Gesture? A Case for Expressive Behavior Within Autonomous Vehicle and Pedestrian Interactions.
IEEE Robotics Autom. Lett.
Paul Schmitt, Nicholas Britten, Jihyun Jeong, Amelia Coffey, Kevin Clark, Shweta Sunil Kothawade, Elena Corina Grigore, Adam Khaw, Christopher Konopka, Linh Pham, Kim Ryan, Christopher Schmitt, Emilio Frazzoli
2022 Misc conf
Co-Design with People Who Have Had a Stroke to Better Understand the Transition from Hospital to Home: A Narrative Account.
OZCHI
Bernd Ploderer, Jennifer Muller, Matthew Busato, Amina Tariq, Kevin Clark, Theresa L. Green
2022 A* conf
Meta-Learning Fast Weight Language Models.
EMNLP
Kevin Clark, Kelvin Guu, Ming-Wei Chang, Panupong Pasupat, Geoffrey E. Hinton, Mohammad Norouzi
2022 J jnl
Meta-Learning Fast Weight Language Models.
CoRR
Kevin Clark, Kelvin Guu, Ming-Wei Chang, Panupong Pasupat, Geoffrey E. Hinton, Mohammad Norouzi
2022 J jnl
nuReality: A VR environment for research of pedestrian and autonomous vehicle interactions.
CoRR
Paul Schmitt, Nicholas Britten, Jihyun Jeong, Amelia Coffey, Kevin Clark, Shweta Sunil Kothawade, Elena Corina Grigore, Adam Khaw, Christopher Konopka, Linh Pham, Kim Ryan, Christopher Schmitt, Aryaman Pandya, Emilio Frazzoli
2021 — conf
Designing from the Inside Out.
AHFE (2)
Kevin Clark, Stacey Baer, Todd Hoskins, James Kwolyk, Kazuhiko Yamazaki
2021 — —
Efficient and scalable transfer learning for natural language processing.
Kevin Clark
2020 — conf
Designing Presence.
IHIET (Lausanne)
Kevin Clark, Kazuhiko Yamazaki
2020 A* conf
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators.
ICLR
Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning
2020 J jnl
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators.
CoRR
Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning
2020 J jnl
Emergent linguistic structure in artificial neural networks trained by self-supervision.
Proc. Natl. Acad. Sci. USA
Christopher D. Manning, Kevin Clark, John Hewitt, Urvashi Khandelwal, Omer Levy
2020 — conf
Pre-Training Transformers as Energy-Based Cloze Models.
EMNLP (1)
Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning
2020 J jnl
Pre-Training Transformers as Energy-Based Cloze Models.
CoRR
Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning
2019 — conf
BAM! Born-Again Multi-Task Networks for Natural Language Understanding.
ACL (1)
Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning, Quoc V. Le
2019 J jnl
BAM! Born-Again Multi-Task Networks for Natural Language Understanding.
CoRR
Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning, Quoc V. Le
2019 — conf
Culture-Centered Design Enabled by Machine Learning and Digital Transformation.
IHSI
Kevin Clark, Kazuhiko Yamazaki
2019 J jnl
Sample Efficient Text Summarization Using a Single Pre-Trained Transformer.
CoRR
Urvashi Khandelwal, Kevin Clark, Dan Jurafsky, Lukasz Kaiser
2019 J jnl
What Does BERT Look At? An Analysis of BERT's Attention.
CoRR
Kevin Clark, Urvashi Khandelwal, Omer Levy, Christopher D. Manning
2019 — conf
What Does BERT Look at? An Analysis of BERT's Attention.
BlackboxNLP@ACL
Kevin Clark, Urvashi Khandelwal, Omer Levy, Christopher D. Manning
2018 — conf
Deep learning and color variability in breast cancer histopathological images: a preliminary study.
IWBI
Gobert N. Lee, Mariusz Bajger, Kevin Clark
2018 A* conf
Semi-Supervised Sequence Modeling with Cross-View Training.
EMNLP
Kevin Clark, Minh-Thang Luong, Christopher D. Manning, Quoc V. Le
2018 J jnl
Semi-Supervised Sequence Modeling with Cross-View Training.
CoRR
Kevin Clark, Minh-Thang Luong, Christopher D. Manning, Quoc V. Le
2018 Misc conf
Sensory Fusion and Intent Recognition for Accurate Gesture Recognition in Virtual Environments.
ISVC
Sean Simmons, Kevin Clark, Alireza Tavakkoli, Donald Loffredo
2017 — conf
Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph.
TAC
Arun Tejasvi Chaganty, Ashwin Paranjape, Jason Bolton, Matthew Lamm, Jinhao Lei, Abigail See, Kevin Clark, Yuhao Zhang, Peng Qi, Christopher D. Manning
2017 — conf
TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction.
TAC
Mohamed Al-Badrashiny, Jason Bolton, Arun Tejasvi Chaganty, Kevin Clark, Craig Harman, Lifu Huang, Matthew Lamm, Jinhao Lei, Di Lu, Xiaoman Pan, Ashwin Paranjape, Ellie Pavlick, Haoruo Peng, Peng Qi, Pushpendre Rastogi, Abigail See, Kai Sun, Max Thomas, Chen-Tse Tsai, Hao Wu, Boliang Zhang, Chris Callison-Burch, Claire Cardie, Heng Ji, Christopher D. Manning, Smaranda Muresan, Owen Rambow, Dan Roth, Mark Sammons, Benjamin Van Durme
2016 A* conf
Deep Reinforcement Learning for Mention-Ranking Coreference Models.
EMNLP
Kevin Clark, Christopher D. Manning
2016 J jnl
Deep Reinforcement Learning for Mention-Ranking Coreference Models.
CoRR
Kevin Clark, Christopher D. Manning
2016 — conf
Improving Coreference Resolution by Learning Entity-Level Distributed Representations.
ACL (1)
Kevin Clark, Christopher D. Manning
2016 J jnl
Improving Coreference Resolution by Learning Entity-Level Distributed Representations.
CoRR
Kevin Clark, Christopher D. Manning
2016 A* conf
Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora.
EMNLP
William L. Hamilton, Kevin Clark, Jure Leskovec, Dan Jurafsky
2016 J jnl
Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora.
CoRR
William L. Hamilton, Kevin Clark, Jure Leskovec, Dan Jurafsky
2016 J jnl
Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health.
Trans. Assoc. Comput. Linguistics
Tim Althoff, Kevin Clark, Jure Leskovec
2016 J jnl
Natural Language Processing for Mental Health: Large Scale Discourse Analysis of Counseling Conversations.
CoRR
Tim Althoff, Kevin Clark, Jure Leskovec
2015 — conf
Entity-Centric Coreference Resolution with Model Stacking.
ACL (1)
Kevin Clark, Christopher D. Manning
2012 A* conf
RevMiner: an extractive interface for navigating reviews on a smartphone.
UIST
Jeff Huang, Oren Etzioni, Luke Zettlemoyer, Kevin Clark, Christian Lee
2008 — conf
Strata-Gem: risk assessment through mission modeling.
QoP
Kevin Clark, Ethan Singleton, Stephen Tyree, John Hale
2004 C conf
Effect of visual cues on human performance in navigating through a virtual maze.
EGVE
Deepak Vembar, Nikhil Iyengar, Andrew T. Duchowski, Kevin Clark, Jason Hewitt, Keith Pauls
2003 J jnl
Using self-directed learning communities to bridge the digital divide.
Br. J. Educ. Technol.
Kevin Clark