computer vision
fdda6e957f1e5ee2f3b311fe4f145ae1-Paper.pdf
Our study of 22 mitigation techniques and five baselines reveals up to 12.6% fairness variance across identical training runs with identical seeds.
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Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound
Hadi Kazemi, Sobhan Soleymani, Fariborz Taherkhani, Seyed Iranmanesh, Nasser Nasrabadi
Neural Information Processing Systems http://nips.cc/
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Cross-channel Communication Networks
Jianwei Yang, Zhile Ren, Chuang Gan, Hongyuan Zhu, Devi Parikh
Neural Information Processing Systems http://nips.cc/
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Towards Automatic Concept-based Explanations
Amirata Ghorbani, James Wexler, James Y. Zou, Been Kim
Neural Information Processing Systems http://nips.cc/
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Learning Perceptual Inference by Contrasting
Chi Zhang, Baoxiong Jia, Feng Gao, Yixin Zhu, HongJing Lu, Song-Chun Zhu
Neural Information Processing Systems http://nips.cc/
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BiDM: Pushing the Limit of Quantization for Diffusion Models
Diffusion models (DMs) have been significantly developed and widely used in various applications due to their excellent generative qualities.
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cfb95059128406d088ccb7b01bb2af6e-Paper-Conference.pdf
Neural implicit function based on signed distance field (SDF) has achieved impressiveprogress inreconstructing 3Dmodels withhighfidelity. However,such approaches canonlyrepresent closed surfaces.
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