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SynBench: Task-Agnostic Benchmarking of Pretrained Representations using
  Synthetic Data

SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data

6 October 2022
Ching-Yun Ko
Pin-Yu Chen
Jeet Mohapatra
Payel Das
Lucani E. Daniel
ArXivPDFHTML

Papers citing "SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data"

4 / 4 papers shown
Title
Machine Learning for Synthetic Data Generation: A Review
Machine Learning for Synthetic Data Generation: A Review
Ying-Cheng Lu
Minjie Shen
Huazheng Wang
Xiao Wang
Capucine Van Rechem
Tianfan Fu
Wenqi Wei
SyDa
36
140
0
08 Feb 2023
Improving Self-Supervised Learning by Characterizing Idealized
  Representations
Improving Self-Supervised Learning by Characterizing Idealized Representations
Yann Dubois
Tatsunori Hashimoto
Stefano Ermon
Percy Liang
SSL
83
40
0
13 Sep 2022
Holistic Adversarial Robustness of Deep Learning Models
Holistic Adversarial Robustness of Deep Learning Models
Pin-Yu Chen
Sijia Liu
AAML
44
16
0
15 Feb 2022
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
231
1,837
0
03 Feb 2017
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