Kevin Clark

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 39

Top Topics

Diffusion Models

Natural Language

Coreference Resolution

Top Venues

Publications

Kevin Clark, Paul Vicol, Kevin Swersky, David J. Fleet
Directly Fine-Tuning Diffusion Models on Differentiable Rewards. ICLR (2024)
Priyank Jaini, Kevin Clark, Robert Geirhos
Intriguing Properties of Generative Classifiers. ICLR (2024)
Kevin Clark, Priyank Jaini
Text-to-Image Diffusion Models are Zero Shot Classifiers. NeurIPS (2023)
Kevin Clark, Paul Vicol, Kevin Swersky, David J. Fleet
Directly Fine-Tuning Diffusion Models on Differentiable Rewards. CoRR (2023)
Priyank Jaini, Kevin Clark, Robert Geirhos
Intriguing properties of generative classifiers. CoRR (2023)
Kevin Clark, Priyank Jaini
Text-to-Image Diffusion Models are Zero-Shot Classifiers. CoRR (2023)
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
Towards Expert-Level Medical Question Answering with Large Language Models. CoRR (2023)
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
nuReality: A VR environment for research of pedestrian and autonomous vehicle interactions. CoRR (2022)
Kevin Clark, Kelvin Guu, Ming-Wei Chang, Panupong Pasupat, Geoffrey E. Hinton, Mohammad Norouzi
Meta-Learning Fast Weight Language Models. EMNLP (2022)
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
Can Cars Gesture? A Case for Expressive Behavior Within Autonomous Vehicle and Pedestrian Interactions. IEEE Robotics Autom. Lett. 7 (2) (2022)
Bernd Ploderer, Jennifer Muller, Matthew Busato, Amina Tariq, Kevin Clark, Theresa L. Green
Co-Design with People Who Have Had a Stroke to Better Understand the Transition from Hospital to Home: A Narrative Account. OZCHI (2022)
Kevin Clark, Kelvin Guu, Ming-Wei Chang, Panupong Pasupat, Geoffrey E. Hinton, Mohammad Norouzi
Meta-Learning Fast Weight Language Models. CoRR (2022)
Kevin Clark, Stacey Baer, Todd Hoskins, James Kwolyk, Kazuhiko Yamazaki
Designing from the Inside Out. AHFE (2) (2021)
Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning
Pre-Training Transformers as Energy-Based Cloze Models. EMNLP (1) (2020)
Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators. CoRR (2020)
Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning
Pre-Training Transformers as Energy-Based Cloze Models. CoRR (2020)
Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators. ICLR (2020)
Christopher D. Manning, Kevin Clark, John Hewitt, Urvashi Khandelwal, Omer Levy
Emergent linguistic structure in artificial neural networks trained by self-supervision. Proc. Natl. Acad. Sci. USA 117 (48) (2020)
Kevin Clark, Kazuhiko Yamazaki
Designing Presence. IHIET (Lausanne) (2020)
Kevin Clark, Kazuhiko Yamazaki
Culture-Centered Design Enabled by Machine Learning and Digital Transformation. IHSI (2019)
Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning, Quoc V. Le
BAM! Born-Again Multi-Task Networks for Natural Language Understanding. CoRR (2019)
Kevin Clark, Urvashi Khandelwal, Omer Levy, Christopher D. Manning
What Does BERT Look At? An Analysis of BERT's Attention. CoRR (2019)
Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning, Quoc V. Le
BAM! Born-Again Multi-Task Networks for Natural Language Understanding. ACL (1) (2019)
Kevin Clark, Urvashi Khandelwal, Omer Levy, Christopher D. Manning
What Does BERT Look at? An Analysis of BERT's Attention. BlackboxNLP@ACL (2019)
Urvashi Khandelwal, Kevin Clark, Dan Jurafsky, Lukasz Kaiser
Sample Efficient Text Summarization Using a Single Pre-Trained Transformer. CoRR (2019)
Kevin Clark, Minh-Thang Luong, Christopher D. Manning, Quoc V. Le
Semi-Supervised Sequence Modeling with Cross-View Training. EMNLP (2018)
Sean Simmons, Kevin Clark, Alireza Tavakkoli, Donald Loffredo
Sensory Fusion and Intent Recognition for Accurate Gesture Recognition in Virtual Environments. ISVC (2018)
Kevin Clark, Minh-Thang Luong, Christopher D. Manning, Quoc V. Le
Semi-Supervised Sequence Modeling with Cross-View Training. CoRR (2018)
Gobert N. Lee, Mariusz Bajger, Kevin Clark
Deep learning and color variability in breast cancer histopathological images: a preliminary study. IWBI (2018)
Arun Tejasvi Chaganty, Ashwin Paranjape, Jason Bolton, Matthew Lamm, Jinhao Lei, Abigail See, Kevin Clark, Yuhao Zhang, Peng Qi, Christopher D. Manning
Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph. TAC (2017)
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
TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction. TAC (2017)
Tim Althoff, Kevin Clark, Jure Leskovec
Natural Language Processing for Mental Health: Large Scale Discourse Analysis of Counseling Conversations. CoRR (2016)
Kevin Clark, Christopher D. Manning
Deep Reinforcement Learning for Mention-Ranking Coreference Models. CoRR (2016)
William L. Hamilton, Kevin Clark, Jure Leskovec, Dan Jurafsky
Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora. EMNLP (2016)
Kevin Clark, Christopher D. Manning
Deep Reinforcement Learning for Mention-Ranking Coreference Models. EMNLP (2016)
William L. Hamilton, Kevin Clark, Jure Leskovec, Dan Jurafsky
Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora. CoRR (2016)
Tim Althoff, Kevin Clark, Jure Leskovec
Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health. Trans. Assoc. Comput. Linguistics 4 (2016)
Kevin Clark, Christopher D. Manning
Improving Coreference Resolution by Learning Entity-Level Distributed Representations. ACL (1) (2016)
Kevin Clark, Christopher D. Manning
Improving Coreference Resolution by Learning Entity-Level Distributed Representations. CoRR (2016)
Kevin Clark, Christopher D. Manning
Entity-Centric Coreference Resolution with Model Stacking. ACL (1) (2015)
Jeff Huang, Oren Etzioni, Luke S. Zettlemoyer, Kevin Clark, Christian Lee
RevMiner: an extractive interface for navigating reviews on a smartphone. UIST (2012)
Kevin Clark, Ethan Singleton, Stephen Tyree, John Hale
Strata-Gem: risk assessment through mission modeling. QoP (2008)
Deepak Vembar, Nikhil Iyengar, Andrew T. Duchowski, Kevin Clark, Jason Hewitt, Keith Pauls
Effect of visual cues on human performance in navigating through a virtual maze. EGVE (2004)
Kevin Clark
Using self-directed learning communities to bridge the digital divide. Br. J. Educ. Technol. 34 (5) (2003)