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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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Poster
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Fri 16:30
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ActSort: An active-learning accelerated cell sorting algorithm for large-scale calcium imaging datasets
Yiqi Jiang · Hakki Akengin · Ji Zhou · Mehmet Aslihak · Yang Li · Radoslaw Chrapkiewicz · Oscar Hernandez · sadegh ebrahimi · Omar Jaidar · Yanping Zhang · Hakan Inan · Christopher Miranda · Fatih Dinc · Marta Pozo · Mark Schnitzer
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Affinity Event
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Many-Shot In-Context Learning: A Solution or Just an Enhancement for Low-Resource NLP?
Henok Ademtew · Mikiyas Birbo
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Workshop
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Personalized Federated Learning via Low-Rank Matrix Factorization
Ali Dadras · Sebastian Stich · Alp Yurtsever
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Poster
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Thu 16:30
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FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision
Jay Shah · Ganesh Bikshandi · Ying Zhang · Vijay Thakkar · Pradeep Ramani · Tri Dao
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Affinity Event
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Evaluating Machine Learning Methods for PM2.5 Estimation Using Satellite AOD, Low-Cost and Reference-Grade Monitors in Kampala.
Priscilla Adong · Soumyabrata Dev
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Poster
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Fri 16:30
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Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?
Peter Súkeník · Christoph Lampert · Marco Mondelli
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Poster
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Fri 16:30
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Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context
Kazusato Oko · Yujin Song · Taiji Suzuki · Denny Wu
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Affinity Event
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Memory-Efficient On-Device Learning for TinyML Applications with Low-Rank Approximation and Quantization in MATLAB
Claire Callon · Jim Joy · Brenda Zhuang
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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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SynQL: Synthetic Data Generation for In-Domain, Low-Resource Text-to-SQL Parsing
Denver Baumgartner · Tomasz Kornuta
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Poster
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Wed 11:00
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LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search
Elias Jääsaari · Ville Hyvönen · Teemu Roos
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