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Workshop
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Men Also Do Laundry: Multi-Attribute Bias Amplification Dora Zhao · Jerone Andrews · Alice Xiang |
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Poster
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Thu 9:00 |
AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning Tao Yang · JInghao Deng · Xiaojun Quan · Qifan Wang · Shaoliang Nie |
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Workshop
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Post-Hoc Attribute-Based Explanations for Recommender Systems Sahil Verma · Anurag Beniwal · Narayanan Sadagopan · Arjun Seshadri |
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Poster
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Thu 9:00 |
Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition Shuai Jia · Bangjie Yin · Taiping Yao · Shouhong Ding · Chunhua Shen · Xiaokang Yang · Chao Ma |
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Workshop
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Fri 11:45 |
Post-Hoc Attribute-Based Explanations for Recommender Systems Sahil Verma · Anurag Beniwal · Narayanan Sadagopan · Arjun Seshadri |
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Workshop
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Detecting Adversarial Attacks On Breast Cancer Diagnostic Systems Using Attribution-based Confidence Metric Steven Fernandes · Poonam Sharma · Colleen Westerhaus |
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Poster
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Wed 9:00 |
“Why Not Other Classes?”: Towards Class-Contrastive Back-Propagation Explanations Yipei Wang · Xiaoqian Wang |
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Poster
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Thu 9:00 |
AttCAT: Explaining Transformers via Attentive Class Activation Tokens Yao Qiang · Deng Pan · Chengyin Li · Xin Li · Rhongho Jang · Dongxiao Zhu |
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Poster
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Thu 14:00 |
Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes Alessio Mazzetto · Cristina Menghini · Andrew Yuan · Eli Upfal · Stephen Bach |
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Poster
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Tue 9:00 |
Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis Yu-Hsuan Li · Tzu-Yin Chao · Ching-Chun Huang · Pin-Yu Chen · Wei-Chen Chiu |
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Poster
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Wed 9:00 |
Fair Ranking with Noisy Protected Attributes Anay Mehrotra · Nisheeth Vishnoi |
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Poster
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Tue 9:00 |
WeightedSHAP: analyzing and improving Shapley based feature attributions Yongchan Kwon · James Zou |