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10 Results
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Workshop
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Mitigating Dataset Bias by Using Per-sample Gradient Sumyeong Ahn · SeongYoon Kim · Se-Young Yun |
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Workshop
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Mitigating Dataset Bias by Using Per-sample Gradient Sumyeong Ahn · SeongYoon Kim · Se-Young Yun |
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Workshop
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Data Feedback Loops: Model-driven Amplification of Dataset Biases Rohan Taori · Tatsunori Hashimoto |
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Workshop
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Sat 13:20 |
Data Feedback Loops: Model-driven Amplification of Dataset Biases Rohan Taori · Tatsunori Hashimoto |
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Poster
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Tue 14:00 |
Reconstructing Training Data From Trained Neural Networks Niv Haim · Gal Vardi · Gilad Yehudai · Ohad Shamir · Michal Irani |
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Workshop
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A Deep Dive into Dataset Imbalance and Bias in Face Identification Valeriia Cherepanova · Steven Reich · Samuel Dooley · Hossein Souri · John Dickerson · Micah Goldblum · Tom Goldstein |
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Workshop
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A Deep Dive into Dataset Imbalance and Bias in Face Identification Valeriia Cherepanova · Steven Reich · Samuel Dooley · Hossein Souri · John Dickerson · Micah Goldblum · Tom Goldstein |
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Workshop
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A Deep Dive into Dataset Imbalance and Bias in Face Identification Valeriia Cherepanova · Steven Reich · Samuel Dooley · Hossein Souri · John Dickerson · Micah Goldblum · Tom Goldstein |
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Poster
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Tue 9:00 |
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation Sérgio Jesus · José Pombal · Duarte Alves · André Cruz · Pedro Saleiro · Rita Ribeiro · João Gama · Pedro Bizarro |
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Poster
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A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models Yuanxin Liu · Fandong Meng · Zheng Lin · Jiangnan Li · Peng Fu · Yanan Cao · Weiping Wang · Jie Zhou |