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Cherepanova, Valeriia
16  Ergebnisse:
Personensuche X
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1

A Deep Dive into Dataset Imbalance and Bias in Face Identif..:

, In: Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society,
Cherepanova, Valeriia ; Reich, Steven ; Dooley, Samuel... - p. 229-247 , 2023
Link: https://dl.acm.org/doi/1..
 
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2

Deep learning of HIV field-based rapid tests:

Turbé, Valérian ; Herbst, Carina ; Mngomezulu, Thobeka...
Nature Medicine.  27 (2021)  7 - p. 1165-1170 , 2021
Link: https://doi.org/10.1038/..
 
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3

Strong Data Augmentation Sanitizes Poisoning and Backdoor A..:

, In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Borgnia, Eitan ; Cherepanova, Valeriia ; Fowl, Liam... - p. 3855-3859 , 2021
Link: https://doi.org/10.1109/..
 
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4

Development of PancRISK, a urine biomarker-based risk score..:

Blyuss, Oleg ; Zaikin, Alexey ; Cherepanova, Valeriia...
British Journal of Cancer.  122 (2019)  5 - p. 692-696 , 2019
Link: https://doi.org/10.1038/..
 
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5

Spotting LLMs With Binoculars: Zero-Shot Detection of Machi..:

Hans, Abhimanyu ; Schwarzschild, Avi ; Cherepanova, Valeriia...
http://arxiv.org/abs/2401.12070.  , 2024
Link: http://arxiv.org/abs/240..
 
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6

A Performance-Driven Benchmark for Feature Selection in Tab..:

Cherepanova, Valeriia ; Levin, Roman ; Somepalli, Gowthami...
http://arxiv.org/abs/2311.05877.  , 2023
Link: http://arxiv.org/abs/231..
 
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7

Transfer Learning with Deep Tabular Models:

Levin, Roman ; Cherepanova, Valeriia ; Schwarzschild, Avi...
http://arxiv.org/abs/2206.15306.  , 2022
Link: http://arxiv.org/abs/220..
 
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8

A Deep Dive into Dataset Imbalance and Bias in Face Identif..:

Cherepanova, Valeriia ; Reich, Steven ; Dooley, Samuel...
http://arxiv.org/abs/2203.08235.  , 2022
Link: http://arxiv.org/abs/220..
 
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9

Technical Challenges for Training Fair Neural Networks:

Cherepanova, Valeriia ; Nanda, Vedant ; Goldblum, Micah..
http://arxiv.org/abs/2102.06764.  , 2021
Link: http://arxiv.org/abs/210..
 
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10

MetaBalance: High-Performance Neural Networks for Class-Imb..:

Bansal, Arpit ; Goldblum, Micah ; Cherepanova, Valeriia...
http://arxiv.org/abs/2106.09643.  , 2021
Link: http://arxiv.org/abs/210..
 
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11

DP-InstaHide: Provably Defusing Poisoning and Backdoor Atta..:

Borgnia, Eitan ; Geiping, Jonas ; Cherepanova, Valeriia...
http://arxiv.org/abs/2103.02079.  , 2021
Link: http://arxiv.org/abs/210..
 
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12

Comparing Human and Machine Bias in Face Recognition:

Dooley, Samuel ; Downing, Ryan ; Wei, George...
http://arxiv.org/abs/2110.08396.  , 2021
Link: http://arxiv.org/abs/211..
 
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13

LowKey: Leveraging Adversarial Attacks to Protect Social Me..:

Cherepanova, Valeriia ; Goldblum, Micah ; Foley, Harrison...
http://arxiv.org/abs/2101.07922.  , 2021
Link: http://arxiv.org/abs/210..
 
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14

Unraveling Meta-Learning: Understanding Feature Representat..:

Goldblum, Micah ; Reich, Steven ; Fowl, Liam...
http://arxiv.org/abs/2002.06753.  , 2020
Link: http://arxiv.org/abs/200..
 
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15

Strong Data Augmentation Sanitizes Poisoning and Backdoor A..:

Borgnia, Eitan ; Cherepanova, Valeriia ; Fowl, Liam...
http://arxiv.org/abs/2011.09527.  , 2020
Link: http://arxiv.org/abs/201..
 
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