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Workshop
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Improving out-of-distribution generalization by mimicking the human visual diet.
Spandan Madan · You Li · Mengmi Zhang · Hanspeter Pfister · Gabriel Kreiman
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Poster
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Fri 11:00
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TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series
Alexander Nikitin · Letizia Iannucci · Samuel Kaski
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Poster
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Fri 16:30
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Predicting Label Distribution from Ternary Labels
Yunan Lu · Xiuyi Jia
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Poster
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Fri 11:00
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FedAvP: Augment Local Data via Shared Policy in Federated Learning
Minui Hong · Junhyeog Yun · Insu Jeon · Gunhee Kim
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Workshop
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Matchmaker: Self-Improving Compositional LLM Programs for Table Schema Matching
Nabeel Seedat · Mihaela van der Schaar
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Poster
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Thu 11:00
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EEVR: A Dataset of Paired Physiological Signals and Textual Descriptions for Joint Emotion Representation Learning
Pragya Singh · Ritvik Budhiraja · Ankush Gupta · Anshul Goswami · Mohan Kumar · Pushpendra Singh
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Poster
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Thu 11:00
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Provable and Efficient Dataset Distillation for Kernel Ridge Regression
Yilan Chen · Wei Huang · Lily Weng
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Poster
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Thu 11:00
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Offline Behavior Distillation
Shiye Lei · Sen Zhang · Dacheng Tao
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Poster
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Thu 16:30
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Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?
Lingao Xiao · Yang He
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Poster
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SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection
Liangxin Liu · Xuebo Liu · Derek Wong · Dongfang Li · Ziyi Wang · Baotian Hu · Min Zhang
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Session
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Tue 9:00
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Pushing the Boundaries of AI Art: an Immodest Proposal
Eugenia Iofinova
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Poster
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Fri 11:00
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TSDS: Data Selection for Task-Specific Model Finetuning
Zifan Liu · Amin Karbasi · Theodoros Rekatsinas
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