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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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Workshop
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Direct Acquisition Optimization for Low-Budget Active Learning
Zhuokai Zhao · Yibo Jiang · Yuxin Chen
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Workshop
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Sat 12:00
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Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
Harit Vishwakarma · Yi Chen · Sui Jiet Tay · Satya Sai Srinath Namburi · Frederic Sala · Ramya Korlakai Vinayak
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Poster
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Wed 16:30
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Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
Harit Vishwakarma · Yi Chen · Sui Jiet Tay · Satya Sai Srinath Namburi · Frederic Sala · Ramya Korlakai Vinayak
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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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Wed 16:30
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The ALCHEmist: Automated Labeling 500x CHEaper than LLM Data Annotators
Tzu-Heng Huang · Catherine Cao · Vaishnavi Bhargava · Frederic Sala
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Workshop
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Learning from Less: Bayesian Neural Networks for Optimization Proxy using Limited Labeled Data
Parikshit Pareek · Kaarthik Sundar · Deep Deka · Sidhant Misra
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Workshop
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Measuring Pre-training Data Quality without Labels for Time Series Foundation Models
Songkang Wen · Vasilii Feofanov · Jianfeng Zhang
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Workshop
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Enhanced label noise robustness through early adaptive filtering for the self-supervised speaker verification task
Abderrahim Fathan · Xiaolin Zhu · MD JAHANGIR ALAM
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Workshop
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Application of Contrastive Learning on ECG Data: Evaluating Performance in Japanese and Classification with Around 100 Labels
Junichiro Takahashi · JingChuan Guan · Kaito Baba · satoshi kodera
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Workshop
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AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler
Changhun Kim · Taewon Kim · Seungyeon Woo · June Yong Yang · Eunho Yang
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Poster
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Wed 11:00
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M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and Multispectral Data
Matthew Allen · Francisco Dorr · Joseph Alejandro Gallego Mejia · Laura Martínez-Ferrer · Anna Jungbluth · Freddie Kalaitzis · Raul Ramos-Pollán
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