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2020 – today
- 2024
[i8]Neha Mukund Kalibhat, Priyatham Kattakinda, Arman Zarei, Nikita Seleznev, Samuel Sharpe, Senthil Kumar, Soheil Feizi:
Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning. CoRR abs/2405.16401 (2024)- [i7]Alex Stein, Samuel Sharpe, Doron Bergman, Senthil Kumar, C. Bayan Bruss, John Dickerson, Tom Goldstein, Micah Goldblum:
A Simple Baseline for Predicting Events with Auto-Regressive Tabular Transformers. CoRR abs/2410.10648 (2024) - 2023
- [c1]Neha Mukund Kalibhat, Samuel Sharpe, Jeremy Goodsitt, C. Bayan Bruss, Soheil Feizi:
Adapting Self-Supervised Representations to Multi-Domain Setups. BMVC 2023: 353-355 - [i6]Neha Mukund Kalibhat, Samuel Sharpe, Jeremy Goodsitt, C. Bayan Bruss, Soheil Feizi:
Adapting Self-Supervised Representations to Multi-Domain Setups. CoRR abs/2309.03999 (2023) - 2022
- [i5]Isha Hameed, Samuel Sharpe
, Daniel Barcklow, Justin Au-Yeung, Sahil Verma, Jocelyn Huang, Brian Barr, C. Bayan Bruss:
BASED-XAI: Breaking Ablation Studies Down for Explainable Artificial Intelligence. CoRR abs/2207.05566 (2022) - 2021
- [i4]Nima Chitsazan, Samuel Sharpe, Dwipam Katariya, Qianyu Cheng, Karthik Rajasethupathy:
Dynamic Customer Embeddings for Financial Service Applications. CoRR abs/2106.11880 (2021) - [i3]Brian Barr, Matthew R. Harrington, Samuel Sharpe, C. Bayan Bruss:
Counterfactual Explanations via Latent Space Projection and Interpolation. CoRR abs/2112.00890 (2021) - 2020
- [i2]Rachana Balasubramanian, Samuel Sharpe, Brian Barr, Jason D. Wittenbach, C. Bayan Bruss:
Latent-CF: A Simple Baseline for Reverse Counterfactual Explanations. CoRR abs/2012.09301 (2020)
2010 – 2019
- 2019
- [i1]Samuel Sharpe, Jin Yan, Fan Wu, Iddo Drori:
Visual Natural Language Query Auto-Completion for Estimating Instance Probabilities. CoRR abs/1910.04887 (2019)
Coauthor Index
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