Karan Goel

38 papers A* 9A 2B 1Journal 18Unranked 8
YearRankTypeTitle / Venue / Authors
2025 — conf
Towards Codec-LM Co-design for Neural Codec Language Models.
NAACL (Student Research Workshop)
Shih-Lun Wu, Aakash Lahoti, Arjun Desai, Karan Goel, Chris Donahue, Albert Gu
2024 — conf
Model ChangeLists: Characterizing Updates to ML Models.
FAccT
Sabri Eyuboglu, Karan Goel, Arjun Desai, Lingjiao Chen, Mathew Monfort, Christopher Ré, James Zou
2023 A* conf
Effectively Modeling Time Series with Simple Discrete State Spaces.
ICLR
Michael Zhang, Khaled Kamal Saab, Michael Poli, Tri Dao, Karan Goel, Christopher Ré
2023 J jnl
Effectively Modeling Time Series with Simple Discrete State Spaces.
CoRR
Michael Zhang, Khaled Kamal Saab, Michael Poli, Tri Dao, Karan Goel, Christopher Ré
2022 A conf
Data Management Opportunities for Foundation Models.
CIDR
Laurel J. Orr, Karan Goel, Christopher Ré
2022 A* conf
Efficiently Modeling Long Sequences with Structured State Spaces.
ICLR
Albert Gu, Karan Goel, Christopher Ré
2022 A* conf
It's Raw! Audio Generation with State-Space Models.
ICML
Karan Goel, Albert Gu, Chris Donahue, Christopher Ré
2022 J jnl
It's Raw! Audio Generation with State-Space Models.
CoRR
Karan Goel, Albert Gu, Chris Donahue, Christopher Ré
2022 A* conf
On the Parameterization and Initialization of Diagonal State Space Models.
NeurIPS
Albert Gu, Karan Goel, Ankit Gupta, Christopher Ré
2022 J jnl
On the Parameterization and Initialization of Diagonal State Space Models.
CoRR
Albert Gu, Ankit Gupta, Karan Goel, Christopher Ré
2022 J jnl
S4ND: Modeling Images and Videos as Multidimensional Signals Using State Spaces.
CoRR
Eric Nguyen, Karan Goel, Albert Gu, Gordon W. Downs, Preey Shah, Tri Dao, Stephen A. Baccus, Christopher Ré
2022 A* conf
S4ND: Modeling Images and Videos as Multidimensional Signals with State Spaces.
NeurIPS
Eric Nguyen, Karan Goel, Albert Gu, Gordon W. Downs, Preey Shah, Tri Dao, Stephen Baccus, Christopher Ré
2021 A* conf
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers.
NeurIPS
Albert Gu, Isys Johnson, Karan Goel, Khaled Saab, Tri Dao, Atri Rudra, Christopher Ré
2021 J jnl
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers.
CoRR
Albert Gu, Isys Johnson, Karan Goel, Khaled Saab, Tri Dao, Atri Rudra, Christopher Ré
2021 J jnl
Efficiently Modeling Long Sequences with Structured State Spaces.
CoRR
Albert Gu, Karan Goel, Christopher Ré
2021 — conf
Goodwill Hunting: Analyzing and Repurposing Off-the-Shelf Named Entity Linking Systems.
NAACL-HLT (Industry Papers)
Karan Goel, Laurel J. Orr, Nazneen Fatema Rajani, Jesse Vig, Christopher Ré
2021 J jnl
Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems.
CoRR
Laurel J. Orr, Atindriyo Sanyal, Xiao Ling, Karan Goel, Megan Leszczynski
2021 J jnl
Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems.
Proc. VLDB Endow.
Laurel J. Orr, Atindriyo Sanyal, Xiao Ling, Karan Goel, Megan Leszczynski
2021 A* conf
Mandoline: Model Evaluation under Distribution Shift.
ICML
Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré
2021 J jnl
Mandoline: Model Evaluation under Distribution Shift.
CoRR
Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré
2021 A* conf
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation.
ICLR
Karan Goel, Albert Gu, Sharon Li, Christopher Ré
2021 J jnl
On the Opportunities and Risks of Foundation Models.
CoRR
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.
2021 — conf
Personalized Benchmarking with the Ludwig Benchmarking Toolkit.
NeurIPS Datasets and Benchmarks
Avanika Narayan, Piero Molino, Karan Goel, Willie Neiswanger, Christopher Ré
2021 J jnl
Personalized Benchmarking with the Ludwig Benchmarking Toolkit.
CoRR
Avanika Narayan, Piero Molino, Karan Goel, Willie Neiswanger, Christopher Ré
2021 — conf
Robustness Gym: Unifying the NLP Evaluation Landscape.
NAACL-HLT (Demonstrations)
Karan Goel, Nazneen Fatema Rajani, Jesse Vig, Zachary Taschdjian, Mohit Bansal, Christopher Ré
2021 J jnl
Robustness Gym: Unifying the NLP Evaluation Landscape.
CoRR
Karan Goel, Nazneen Fatema Rajani, Jesse Vig, Samson Tan, Jason Wu, Stephan Zheng, Caiming Xiong, Mohit Bansal, Christopher Ré
2021 — conf
SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization.
ACL (demo)
Jesse Vig, Wojciech Kryscinski, Karan Goel, Nazneen Rajani
2021 J jnl
SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization.
CoRR
Jesse Vig, Wojciech Kryscinski, Karan Goel, Nazneen Fatema Rajani
2020 J jnl
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation.
CoRR
Karan Goel, Albert Gu, Sharon Li, Christopher Ré
2019 — conf
Learning Procedural Abstractions and Evaluating Discrete Latent Temporal Structure.
ICLR (Poster)
Karan Goel, Emma Brunskill
2019 J jnl
PLOTS: Procedure Learning from Observations using Subtask Structure.
CoRR
Tong Mu, Karan Goel, Emma Brunskill
2019 A conf
PLOTS: Procedure Learning from Observations using subTask Structure.
AAMAS
Tong Mu, Karan Goel, Emma Brunskill
2018 — conf
Shared Autonomy for an Interactive AI System.
UIST (Adjunct Volume)
Sharon Zhou, Tong Mu, Karan Goel, Michael S. Bernstein, Emma Brunskill
2017 B conf
Octopus: A Framework for Cost-Quality-Time Optimization in Crowdsourcing.
HCOMP
Karan Goel, Shreya Rajpal, Mausam
2017 J jnl
Octopus: A Framework for Cost-Quality-Time Optimization in Crowdsourcing.
CoRR
Karan Goel, Shreya Rajpal, Mausam
2017 A* conf
Sample Efficient Policy Search for Optimal Stopping Domains.
IJCAI
Karan Goel, Christoph Dann, Emma Brunskill
2017 J jnl
Sample Efficient Policy Search for Optimal Stopping Domains.
CoRR
Karan Goel, Christoph Dann, Emma Brunskill
2016 J jnl
It's just a matter of perspective(s): Crowd-Powered Consensus Organization of Corpora.
CoRR
Ayush Jain, Joon Young Seo, Karan Goel, Andrew Kuznetsov, Aditya G. Parameswaran, Hari Sundaram