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103 Results
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Poster
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Thu 1:45 |
Finetuning Text-to-Image Diffusion Models for Fairness Xudong Shen · Chao Du · Tianyu Pang · Min Lin · Yongkang Wong · Mohan Kankanhalli |
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Poster
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Thu 1:45 |
Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models Shaofei Shen · Chenhao Zhang · Yawen Zhao · Alina Bialkowski · Weitong Chen · Miao Xu |
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Poster
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Thu 7:30 |
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing Vincent Grari · Thibault Laugel · Tatsunori Hashimoto · sylvain lamprier · Marcin Detyniecki |
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Poster
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Thu 7:30 |
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors Ido Amos · Jonathan Berant · Ankit Gupta |
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Poster
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Wed 1:45 |
Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization Dinghuai Zhang · Ricky T. Q. Chen · Chenghao Liu · Aaron Courville · Yoshua Bengio |
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Poster
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Wed 1:45 |
fairret: a Framework for Differentiable Fairness Regularization Terms Maarten Buyl · MaryBeth Defrance · Tijl De Bie |
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Poster
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Tue 1:45 |
Demystifying CLIP Data Hu Xu · Saining Xie · Xiaoqing Tan · Po-Yao Huang · Russell Howes · Vasu Sharma · Shang-Wen Li · Gargi Ghosh · Luke Zettlemoyer · Christoph Feichtenhofer |
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Poster
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Wed 1:45 |
Fair Classifiers that Abstain without Harm Tongxin Yin · Jean-Francois Ton · Ruocheng Guo · Yuanshun Yao · Mingyan Liu · Yang Liu |
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Poster
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Fri 7:30 |
Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation Yangsibo Huang · Samyak Gupta · Mengzhou Xia · Kai Li · Danqi Chen |
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Oral
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Thu 1:30 |
Unprocessing Seven Years of Algorithmic Fairness André F. Cruz · Moritz Hardt |
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Oral
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Wed 7:00 |
Flow Matching on General Geometries Ricky T. Q. Chen · Yaron Lipman |
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Oral
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Thu 1:15 |
Finetuning Text-to-Image Diffusion Models for Fairness Xudong Shen · Chao Du · Tianyu Pang · Min Lin · Yongkang Wong · Mohan Kankanhalli |