Ash, Jordan

7 publications

NeurIPS 2023 Exposing Attention Glitches with Flip-Flop Language Modeling Bingbin Liu, Jordan Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang

AISTATS 2022 Investigating the Role of Negatives in Contrastive Representation Learning Jordan Ash, Surbhi Goel, Akshay Krishnamurthy, Dipendra Misra

ICML 2022 Understanding Contrastive Learning Requires Incorporating Inductive Biases Nikunj Saunshi, Jordan Ash, Surbhi Goel, Dipendra Misra, Cyril Zhang, Sanjeev Arora, Sham Kakade, Akshay Krishnamurthy

NeurIPS 2021 Gone Fishing: Neural Active Learning with Fisher Embeddings Jordan Ash, Surbhi Goel, Akshay Krishnamurthy, Sham Kakade

NeurIPS 2020 Learning Composable Energy Surrogates for PDE Order Reduction Alex Beatson, Jordan Ash, Geoffrey Roeder, Tianju Xue, Ryan P. Adams

NeurIPS 2020 On Warm-Starting Neural Network Training Jordan Ash, Ryan P. Adams

ICML 2018 Learning Deep ResNet Blocks Sequentially Using Boosting Theory Furong Huang, Jordan Ash, John Langford, Robert Schapire