Karan Goel

Orcid: 0009-0009-0687-5805

According to our database1, Karan Goel authored at least 24 papers between 2016 and 2024.

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Bibliography

2024
Model ChangeLists: Characterizing Updates to ML Models.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023
Effectively Modeling Time Series with Simple Discrete State Spaces.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
S4ND: Modeling Images and Videos as Multidimensional Signals Using State Spaces.
CoRR, 2022

S4ND: Modeling Images and Videos as Multidimensional Signals with State Spaces.
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.
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.
Proceedings of the International Conference on Machine Learning, 2022

Efficiently Modeling Long Sequences with Structured State Spaces.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Data Management Opportunities for Foundation Models.
Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

2021
Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems.
Proc. VLDB Endow., 2021

On the Opportunities and Risks of Foundation Models.
CoRR, 2021

Robustness Gym: Unifying the NLP Evaluation Landscape.
CoRR, 2021

Personalized Benchmarking with the Ludwig Benchmarking Toolkit.
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.
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.
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.
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.
Proceedings of the 38th International Conference on Machine Learning, 2021

Model Patching: Closing the Subgroup Performance Gap with Data Augmentation.
Proceedings of the 9th International Conference on Learning Representations, 2021

SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization.
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.
Proceedings of the 7th International Conference on Learning Representations, 2019

PLOTS: Procedure Learning from Observations using subTask Structure.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
Shared Autonomy for an Interactive AI System.
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.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Octopus: A Framework for Cost-Quality-Time Optimization in Crowdsourcing.
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.
CoRR, 2016


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