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ORCIDKaran Goel
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2020 – today
- 2024
[c19]Sabri Eyuboglu
, Karan Goel, Arjun D. Desai, Lingjiao Chen, Mathew Monfort, Christopher Ré, James Zou:
Model ChangeLists: Characterizing Updates to ML Models. FAccT 2024: 2432-2453- 2023
- [c18]Michael Zhang, Khaled Kamal Saab, Michael Poli, Tri Dao, Karan Goel, Christopher Ré:
Effectively Modeling Time Series with Simple Discrete State Spaces. ICLR 2023 - [i17]Michael Zhang, Khaled Kamal Saab, Michael Poli, Tri Dao, Karan Goel, Christopher Ré:
Effectively Modeling Time Series with Simple Discrete State Spaces. CoRR abs/2303.09489 (2023) - 2022
- [c17]Laurel J. Orr, Karan Goel, Christopher Ré:
Data Management Opportunities for Foundation Models. CIDR 2022 - [c16]Albert Gu, Karan Goel, Christopher Ré:
Efficiently Modeling Long Sequences with Structured State Spaces. ICLR 2022 - [c15]Karan Goel, Albert Gu, Chris Donahue, Christopher Ré:
It's Raw! Audio Generation with State-Space Models. ICML 2022: 7616-7633 - [c14]Albert Gu, Karan Goel, Ankit Gupta, Christopher Ré:
On the Parameterization and Initialization of Diagonal State Space Models. NeurIPS 2022 - [c13]Eric Nguyen, Karan Goel, Albert Gu, Gordon W. Downs, Preey Shah, Tri Dao, Stephen Baccus, Christopher Ré:
S4ND: Modeling Images and Videos as Multidimensional Signals with State Spaces. NeurIPS 2022 - [i16]Karan Goel, Albert Gu, Chris Donahue, Christopher Ré:
It's Raw! Audio Generation with State-Space Models. CoRR abs/2202.09729 (2022) - [i15]Albert Gu, Ankit Gupta, Karan Goel, Christopher Ré:
On the Parameterization and Initialization of Diagonal State Space Models. CoRR abs/2206.11893 (2022) - [i14]Eric Nguyen, Karan Goel, Albert Gu, Gordon W. Downs, Preey Shah, Tri Dao, Stephen A. Baccus, Christopher Ré:
S4ND: Modeling Images and Videos as Multidimensional Signals Using State Spaces. CoRR abs/2210.06583 (2022) - 2021
- [j1]Laurel J. Orr, Atindriyo Sanyal, Xiao Ling, Karan Goel, Megan Leszczynski:
Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems. Proc. VLDB Endow. 14(12): 3178-3181 (2021) - [c12]Jesse Vig, Wojciech Kryscinski, Karan Goel, Nazneen Rajani:
SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization. ACL (demo) 2021: 150-158 - [c11]Karan Goel, Albert Gu, Yixuan Li, Christopher Ré:
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation. ICLR 2021 - [c10]Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré:
Mandoline: Model Evaluation under Distribution Shift. ICML 2021: 1617-1629 - [c9]Karan Goel, Nazneen Fatema Rajani, Jesse Vig, Zachary Taschdjian, Mohit Bansal, Christopher Ré:
Robustness Gym: Unifying the NLP Evaluation Landscape. NAACL-HLT (Demonstrations) 2021: 42-55 - [c8]Karan Goel, Laurel J. Orr, Nazneen Fatema Rajani, Jesse Vig, Christopher Ré:
Goodwill Hunting: Analyzing and Repurposing Off-the-Shelf Named Entity Linking Systems. NAACL-HLT (Industry Papers) 2021: 205-213 - [c7]Albert Gu, Isys Johnson, Karan Goel, Khaled Saab, Tri Dao, Atri Rudra, Christopher Ré:
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers. NeurIPS 2021: 572-585 - [c6]Avanika Narayan, Piero Molino, Karan Goel, Willie Neiswanger, Christopher Ré:
Personalized Benchmarking with the Ludwig Benchmarking Toolkit. NeurIPS Datasets and Benchmarks 2021 - [i13]Karan Goel, Nazneen Fatema Rajani, Jesse Vig, Samson Tan, Jason Wu, Stephan Zheng, Caiming Xiong, Mohit Bansal, Christopher Ré:
Robustness Gym: Unifying the NLP Evaluation Landscape. CoRR abs/2101.04840 (2021) - [i12]Jesse Vig, Wojciech Kryscinski, Karan Goel, Nazneen Fatema Rajani:
SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization. CoRR abs/2104.07605 (2021) - [i11]Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré:
Mandoline: Model Evaluation under Distribution Shift. CoRR abs/2107.00643 (2021) - [i10]Laurel J. Orr, Atindriyo Sanyal, Xiao Ling, Karan Goel, Megan Leszczynski:
Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems. CoRR abs/2108.05053 (2021) - [i9]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.:
On the Opportunities and Risks of Foundation Models. CoRR abs/2108.07258 (2021) - [i8]Albert Gu, Isys Johnson, Karan Goel, Khaled Saab, Tri Dao, Atri Rudra, Christopher Ré:
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers. CoRR abs/2110.13985 (2021) - [i7]Albert Gu, Karan Goel, Christopher Ré:
Efficiently Modeling Long Sequences with Structured State Spaces. CoRR abs/2111.00396 (2021) - [i6]Avanika Narayan, Piero Molino, Karan Goel, Willie Neiswanger, Christopher Ré:
Personalized Benchmarking with the Ludwig Benchmarking Toolkit. CoRR abs/2111.04260 (2021) - 2020
- [i5]Karan Goel, Albert Gu, Yixuan Li, Christopher Ré:
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation. CoRR abs/2008.06775 (2020)
2010 – 2019
- 2019
- [c5]Tong Mu, Karan Goel, Emma Brunskill:
PLOTS: Procedure Learning from Observations using subTask Structure. AAMAS 2019: 1007-1015 - [c4]Karan Goel, Emma Brunskill:
Learning Procedural Abstractions and Evaluating Discrete Latent Temporal Structure. ICLR (Poster) 2019 - [i4]Tong Mu, Karan Goel, Emma Brunskill:
PLOTS: Procedure Learning from Observations using Subtask Structure. CoRR abs/1904.09162 (2019) - 2018
- [c3]Sharon Zhou, Tong Mu, Karan Goel, Michael S. Bernstein, Emma Brunskill:
Shared Autonomy for an Interactive AI System. UIST (Adjunct Volume) 2018: 20-22 - 2017
- [c2]Karan Goel, Shreya Rajpal, Mausam:
Octopus: A Framework for Cost-Quality-Time Optimization in Crowdsourcing. HCOMP 2017: 31-40 - [c1]Karan Goel, Christoph Dann, Emma Brunskill:
Sample Efficient Policy Search for Optimal Stopping Domains. IJCAI 2017: 1711-1717 - [i3]Karan Goel, Shreya Rajpal, Mausam:
Octopus: A Framework for Cost-Quality-Time Optimization in Crowdsourcing. CoRR abs/1702.03488 (2017) - [i2]Karan Goel, Christoph Dann, Emma Brunskill:
Sample Efficient Policy Search for Optimal Stopping Domains. CoRR abs/1702.06238 (2017) - 2016
- [i1]Ayush Jain, Joon Young Seo, Karan Goel, Andrew Kuznetsov, Aditya G. Parameswaran, Hari Sundaram:
It's just a matter of perspective(s): Crowd-Powered Consensus Organization of Corpora. CoRR abs/1601.02034 (2016)
Coauthor Index
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