Samuel Sharpe

According to our database, Samuel Sharpe authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Simple Baseline for Predicting Events with Auto-Regressive Tabular Transformers.

Alex Stein, Samuel Sharpe, Doron Bergman, Senthil Kumar, C. Bayan Bruss, John Dickerson, Tom Goldstein, Micah Goldblum

CoRR, 2024

Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning.

Neha Mukund Kalibhat, Priyatham Kattakinda, Arman Zarei, Nikita Seleznev, Samuel Sharpe, Senthil Kumar, Soheil Feizi

CoRR, 2024

2023

Adapting Self-Supervised Representations to Multi-Domain Setups.

Neha Mukund Kalibhat, Samuel Sharpe, Jeremy Goodsitt, C. Bayan Bruss, Soheil Feizi

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

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

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

CoRR, 2022

2021

Counterfactual Explanations via Latent Space Projection and Interpolation.

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

CoRR, 2021

Dynamic Customer Embeddings for Financial Service Applications.

Nima Chitsazan, Samuel Sharpe, Dwipam Katariya, Qianyu Cheng, Karthik Rajasethupathy

CoRR, 2021

2020

Latent-CF: A Simple Baseline for Reverse Counterfactual Explanations.

Rachana Balasubramanian, Samuel Sharpe, Brian Barr, Jason D. Wittenbach, C. Bayan Bruss

CoRR, 2020

2019

Visual Natural Language Query Auto-Completion for Estimating Instance Probabilities.

Samuel Sharpe, Jin Yan, Fan Wu, Iddo Drori

CoRR, 2019