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C. Bayan Bruss

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Center for Machine Learning, Capital One

Simplifying Neural Network Training Under Class Imbalance

Dec 05, 2023
Ravid Shwartz-Ziv, Micah Goldblum, Yucen Lily Li, C. Bayan Bruss, Andrew Gordon Wilson

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A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning

Nov 10, 2023
Valeriia Cherepanova, Roman Levin, Gowthami Somepalli, Jonas Geiping, C. Bayan Bruss, Andrew Gordon Wilson, Tom Goldstein, Micah Goldblum

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From Explanation to Action: An End-to-End Human-in-the-loop Framework for Anomaly Reasoning and Management

Apr 06, 2023
Xueying Ding, Nikita Seleznev, Senthil Kumar, C. Bayan Bruss, Leman Akoglu

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BASED-XAI: Breaking Ablation Studies Down for Explainable Artificial Intelligence

Jul 12, 2022
Isha Hameed, Samuel Sharpe, Daniel Barcklow, Justin Au-Yeung, Sahil Verma, Jocelyn Huang, Brian Barr, C. Bayan Bruss

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Transfer Learning with Deep Tabular Models

Jun 30, 2022
Roman Levin, Valeriia Cherepanova, Avi Schwarzschild, Arpit Bansal, C. Bayan Bruss, Tom Goldstein, Andrew Gordon Wilson, Micah Goldblum

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Counterfactual Explanations via Latent Space Projection and Interpolation

Dec 02, 2021
Brian Barr, Matthew R. Harrington, Samuel Sharpe, C. Bayan Bruss

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MetaBalance: High-Performance Neural Networks for Class-Imbalanced Data

Jun 17, 2021
Arpit Bansal, Micah Goldblum, Valeriia Cherepanova, Avi Schwarzschild, C. Bayan Bruss, Tom Goldstein

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SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Jun 02, 2021
Gowthami Somepalli, Micah Goldblum, Avi Schwarzschild, C. Bayan Bruss, Tom Goldstein

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Latent-CF: A Simple Baseline for Reverse Counterfactual Explanations

Dec 16, 2020
Rachana Balasubramanian, Samuel Sharpe, Brian Barr, Jason Wittenbach, C. Bayan Bruss

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DLGNet-Task: An End-to-end Neural Network Framework for Modeling Multi-turn Multi-domain Task-Oriented Dialogue

Oct 06, 2020
Oluwatobi O. Olabiyi, Prarthana Bhattarai, C. Bayan Bruss, Zachary Kulis

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