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10 Results
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Workshop
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PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans Giang Nguyen · Valerie Chen · Mohammad Reza Taesiri · Anh Nguyen |
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Poster
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Fri 11:00 |
Embedding Dimension of Contrastive Learning and k-Nearest Neighbors Dmitrii Avdiukhin · Vaggos Chatziafratis · Orr Fischer · Grigory Yaroslavtsev |
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Workshop
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A New Geometric Approach of Adaptive Neighborhood Selection for Classification Alexandre Levada · Frank Nielsen · Michel Ferreira Cardia Haddad |
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Poster
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Fri 16:30 |
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context Zihao Li · Yuan Cao · Cheng Gao · Yihan He · Han Liu · Jason Klusowski · Jianqing Fan · Mengdi Wang |
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Poster
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Wed 16:30 |
KFNN: K-Free Nearest Neighbor For Crowdsourcing Wenjun Zhang · Liangxiao Jiang · Chaoqun Li |
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Poster
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Thu 11:00 |
Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits Haya Diwan · Jinrui Gou · Cameron Musco · Christopher Musco · Torsten Suel |
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Poster
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Wed 16:30 |
CSPG: Crossing Sparse Proximity Graphs for Approximate Nearest Neighbor Search Ming Yang · Yuzheng Cai · Weiguo Zheng |
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Poster
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Thu 16:30 |
Nearest Neighbor Speculative Decoding for LLM Generation and Attribution Minghan Li · Xilun Chen · Ari Holtzman · Beidi Chen · Jimmy Lin · Scott Yih · Victoria Lin |
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Poster
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Wed 11:00 |
LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search Elias Jääsaari · Ville Hyvönen · Teemu Roos |
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Poster
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Fri 16:30 |
Online Consistency of the Nearest Neighbor Rule Geelon So · Sanjoy Dasgupta |