Karan Goel

According to our database, Karan Goel authored at least 24 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Model ChangeLists: Characterizing Updates to ML Models.

Sabri Eyuboglu, Karan Goel, Arjun D. Desai, Lingjiao Chen, Mathew Monfort, Christopher Ré, James Zou

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023

Effectively Modeling Time Series with Simple Discrete State Spaces.

Michael Zhang, Khaled Kamal Saab, Michael Poli, Tri Dao, Karan Goel, Christopher Ré

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

S4ND: Modeling Images and Videos as Multidimensional Signals Using State Spaces.

Eric Nguyen, Karan Goel, Albert Gu, Gordon W. Downs, Preey Shah, Tri Dao, Stephen A. Baccus, Christopher Ré

CoRR, 2022

S4ND: Modeling Images and Videos as Multidimensional Signals with State Spaces.

Eric Nguyen, Karan Goel, Albert Gu, Gordon W. Downs, Preey Shah, Tri Dao, Stephen Baccus, Christopher Ré

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Parameterization and Initialization of Diagonal State Space Models.

Albert Gu, Karan Goel, Ankit Gupta, Christopher Ré

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

It's Raw! Audio Generation with State-Space Models.

Karan Goel, Albert Gu, Chris Donahue, Christopher Ré

Proceedings of the International Conference on Machine Learning, 2022

Efficiently Modeling Long Sequences with Structured State Spaces.

Albert Gu, Karan Goel, Christopher Ré

Proceedings of the Tenth International Conference on Learning Representations, 2022

Data Management Opportunities for Foundation Models.

Laurel J. Orr, Karan Goel, Christopher Ré

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

2021

Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems.

Laurel J. Orr, Atindriyo Sanyal, Xiao Ling, Karan Goel, Megan Leszczynski

Proc. VLDB Endow., 2021

On the Opportunities and Risks of Foundation Models.

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren E. Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.

CoRR, 2021

Robustness Gym: Unifying the NLP Evaluation Landscape.

Karan Goel, Nazneen Fatema Rajani, Jesse Vig, Samson Tan, Jason Wu, Stephan Zheng, Caiming Xiong, Mohit Bansal, Christopher Ré

CoRR, 2021

Personalized Benchmarking with the Ludwig Benchmarking Toolkit.

Avanika Narayan, Piero Molino, Karan Goel, Willie Neiswanger, Christopher Ré

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers.

Albert Gu, Isys Johnson, Karan Goel, Khaled Saab, Tri Dao, Atri Rudra, Christopher Ré

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robustness Gym: Unifying the NLP Evaluation Landscape.

Karan Goel, Nazneen Fatema Rajani, Jesse Vig, Zachary Taschdjian, Mohit Bansal, Christopher Ré

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations, 2021

Goodwill Hunting: Analyzing and Repurposing Off-the-Shelf Named Entity Linking Systems.

Karan Goel, Laurel J. Orr, Nazneen Fatema Rajani, Jesse Vig, Christopher Ré

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, 2021

Mandoline: Model Evaluation under Distribution Shift.

Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré

Proceedings of the 38th International Conference on Machine Learning, 2021

Model Patching: Closing the Subgroup Performance Gap with Data Augmentation.

Karan Goel, Albert Gu, Yixuan Li, Christopher Ré

Proceedings of the 9th International Conference on Learning Representations, 2021

SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization.

Jesse Vig, Wojciech Kryscinski, Karan Goel, Nazneen Rajani

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2019

Learning Procedural Abstractions and Evaluating Discrete Latent Temporal Structure.

Karan Goel, Emma Brunskill

Proceedings of the 7th International Conference on Learning Representations, 2019

PLOTS: Procedure Learning from Observations using subTask Structure.

Tong Mu, Karan Goel, Emma Brunskill

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Shared Autonomy for an Interactive AI System.

Sharon Zhou, Tong Mu, Karan Goel, Michael S. Bernstein, Emma Brunskill

Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology Adjunct Proceedings, 2018

2017

Sample Efficient Policy Search for Optimal Stopping Domains.

Karan Goel, Christoph Dann, Emma Brunskill

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Octopus: A Framework for Cost-Quality-Time Optimization in Crowdsourcing.

Karan Goel, Shreya Rajpal, Mausam

Proceedings of the Fifth AAAI Conference on Human Computation and Crowdsourcing, 2017

2016

It's just a matter of perspective(s): Crowd-Powered Consensus Organization of Corpora.

Ayush Jain, Joon Young Seo, Karan Goel, Andrew Kuznetsov, Aditya G. Parameswaran, Hari Sundaram

CoRR, 2016