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Workshop
Fri 11:45 Post-Hoc Attribute-Based Explanations for Recommender Systems
Sahil Verma · Anurag Beniwal · Narayanan Sadagopan · Arjun Seshadri
Poster
Thu 9:00 AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning
Tao Yang · JInghao Deng · Xiaojun Quan · Qifan Wang · Shaoliang Nie
Workshop
Men Also Do Laundry: Multi-Attribute Bias Amplification
Dora Zhao · Jerone Andrews · Alice Xiang
Poster
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
Workshop
Post-Hoc Attribute-Based Explanations for Recommender Systems
Sahil Verma · Anurag Beniwal · Narayanan Sadagopan · Arjun Seshadri
Workshop
Detecting Adversarial Attacks On Breast Cancer Diagnostic Systems Using Attribution-based Confidence Metric
Steven Fernandes · Poonam Sharma · Colleen Westerhaus
Poster
Tue 9:00 WeightedSHAP: analyzing and improving Shapley based feature attributions
Yongchan Kwon · James Zou
Poster
Thu 9:00 AttCAT: Explaining Transformers via Attentive Class Activation Tokens
Yao Qiang · Deng Pan · Chengyin Li · Xin Li · Rhongho Jang · Dongxiao Zhu
Poster
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
Poster
Thu 9:00 Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection
Fan Wang · Adams Wai Kin Kong
Poster
Tue 9:00 What You See is What You Classify: Black Box Attributions
Steven Stalder · Nathanael Perraudin · Radhakrishna Achanta · Fernando Perez-Cruz · Michele Volpi
Poster
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