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Poster
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Thu 14:00
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Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems
Hyunwoong Chang · Changwoo Lee · Zhao Tang Luo · Huiyan Sang · Quan Zhou
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Workshop
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Multiple Remote Adversarial Patches: Generating Patches based on Diffusion Models for Object Detection using CNNs
Kento Oonishi · Tsunato Nakai · Daisuke Suzuki
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Poster
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Tue 14:00
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Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology
Syed Ashar Javed · Dinkar Juyal · Harshith Padigela · Amaro Taylor-Weiner · Limin Yu · Aaditya Prakash
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Workshop
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How do humans and machine learning models track multiple objects through occlusion?
Benjamin Peters · Eivinas Butkus · Nikolaus Kriegeskorte
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Poster
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Active Learning for Multiple Target Models
Ying-Peng Tang · Sheng-Jun Huang
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Poster
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Wed 9:00
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Learning Bipartite Graphs: Heavy Tails and Multiple Components
José Vinícius de Miranda Cardoso · Jiaxi Ying · Daniel Palomar
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Poster
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Tue 14:00
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Toward Efficient Robust Training against Union of ℓp Threat Models
Gaurang Sriramanan · Maharshi Gor · Soheil Feizi
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Poster
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Wed 14:00
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Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning
Joseph Early · Tom Bewley · Christine Evers · Sarvapali Ramchurn
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Workshop
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Utilizing supervised models to infer consensus labels and their quality from data with multiple annotators
Hui Wen Goh · Ulyana Tkachenko · Jonas Mueller
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Workshop
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Learning at Multiple Timescales
Matt Jones
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Poster
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Tue 14:00
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Joint Estimation and Inference for Data Integration Problems based on Multiple Multi-layered Gaussian Graphical Models
Subhabrata Majumdar · George Michailidis
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