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Jordan T. Ash
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Streaming Active Learning with Deep Neural Networks


Mar 05, 2023
Akanksha Saran, Safoora Yousefi, Akshay Krishnamurthy, John Langford, Jordan T. Ash

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Neural Active Learning on Heteroskedastic Distributions


Nov 02, 2022
Savya Khosla, Chew Kin Whye, Jordan T. Ash, Cyril Zhang, Kenji Kawaguchi, Alex Lamb

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Eigen Memory Trees


Oct 31, 2022
Mark Rucker, Jordan T. Ash, John Langford, Paul Mineiro, Ida Momennejad

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* corrected an author name; corrected title plurality 
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Transformers Learn Shortcuts to Automata


Oct 19, 2022
Bingbin Liu, Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang

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Anti-Concentrated Confidence Bonuses for Scalable Exploration


Oct 21, 2021
Jordan T. Ash, Cyril Zhang, Surbhi Goel, Akshay Krishnamurthy, Sham Kakade

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Investigating the Role of Negatives in Contrastive Representation Learning


Jun 18, 2021
Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Dipendra Misra

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Gone Fishing: Neural Active Learning with Fisher Embeddings


Jun 17, 2021
Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Sham Kakade

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Learning Composable Energy Surrogates for PDE Order Reduction


May 15, 2020
Alex Beatson, Jordan T. Ash, Geoffrey Roeder, Tianju Xue, Ryan P. Adams

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On the Difficulty of Warm-Starting Neural Network Training


Oct 18, 2019
Jordan T. Ash, Ryan P. Adams

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