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Poster
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Wed 16:30
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LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language
James Requeima · John Bronskill · Dami Choi · Richard Turner · David Duvenaud
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Workshop
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How to Determine the Preferred Image Distribution of a Black-Box Vision-Language Model?
Saeid Asgari · Joseph G Lambourne · Alana Mongkhounsavath
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Poster
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Wed 11:00
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DiffPO: A causal diffusion model for learning distributions of potential outcomes
Yuchen Ma · Valentyn Melnychuk · Jonas Schweisthal · Stefan Feuerriegel
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Workshop
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From Distributional to Overton Pluralism: Investigating Large Language Model Alignment
Thom Lake · Eunsol Choi · Greg Durrett
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Workshop
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From Function to Distribution Modeling: A PAC-Generative Approach to Offline Optimization
Qiang Zhang · Ruida Zhou · Yang Shen · Tie Liu
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Poster
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Wed 16:30
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Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting
Xingyu Zhu · Beier Zhu · Yi Tan · Shuo Wang · Yanbin Hao · Hanwang Zhang
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Workshop
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Active Fourier Auditor for Estimating Distributional Properties of ML Models
Ayoub Ajarra · Bishwamittra Ghosh · Debabrota Basu
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Poster
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Fri 16:30
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OTTER: Effortless Label Distribution Adaptation of Zero-shot Models
Changho Shin · Jitian Zhao · Sonia Cromp · Harit Vishwakarma · Frederic Sala
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Workshop
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Stability Evaluation of Large Language Models via Distributional Perturbation Analysis
Jiashuo Liu · Jiajin Li · Peng Cui · Jose Blanchet
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Workshop
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Diffusion Model Learns Low-Dimensional Distributions via Subspace Clustering
Peng Wang · Huijie Zhang · Zekai Zhang · Siyi Chen · Yi Ma · Qing Qu
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Workshop
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Incremental Uncertainty-aware Performance Monitoring with Labeling Intervention
Alexander Koebler · Thomas Decker · Ingo Thon · Volker Tresp · Florian Buettner
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Poster
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Fri 11:00
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An eye for an ear: zero-shot audio description leveraging an image captioner with audio-visual token distribution matching
Hugo Malard · Michel Olvera · Stéphane Lathuilière · Slim Essid
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