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Workshop
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Increasing Brain-LLM Alignment via Information-Theoretic Compression
Mycal Tucker · Greta Tuckute
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Workshop
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Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
Suyu Ge · Yunan Zhang · Liyuan Liu · Minjia Zhang · Jiawei Han · Jianfeng Gao
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Workshop
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Investigating the Impact of Compression on Parametric Knowledge in Language Models
Satya Sai Srinath Namburi · Makesh Narsimhan Sreedhar · Srinath Srinivasan · Frederic Sala
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Workshop
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Balancing Multiple Objectives for Efficient Metaprompts for Data Labeling Tasks with Extensive Guidelines
Tobias Schnabel · Jennifer Neville
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Workshop
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Deep neural networks with dependent weights: \\Gaussian Process mixture limit, heavy tails, sparsity and compressibility
Hoil Lee · Fadhel Ayed · Paul Jung · Juho Lee · Hongseok Yang · Francois Caron
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Workshop
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Multilook compressive sensing in the presence of speckle noise
Xi Chen · Zhewen Hou · Chris Metzler · Arian Maleki · Shirin Jalali
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Workshop
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TAMUNA: Doubly Accelerated Federated Learning with Local Training, Compression, and Partial Participation
Laurent Condat · Ivan Agarský · Grigory Malinovsky · Peter Richtarik
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Workshop
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Neural network compression with heavy-tailed SGD
Yijun Wan · Abdellatif Zaidi · Umut Simsekli
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Workshop
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Fri 12:40
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Noisy Population Dynamics Lead to Efficiently Compressed Semantic Systems
Nathaniel Imel · Noga Zaslavsky · Michael Franke · Richard Futrell
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Workshop
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Machine learning-based compression of quantum many body physics: PCA and autoencoder representation of the vertex function
Jiawei Zang · Matija Medvidović · Dominik Kiese · Domenico Di Sante · Anirvan Sengupta · Andy Millis
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Workshop
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Det-CGD: Compressed Gradient Descent with Matrix Stepsizes for Non-Convex Optimization
Hanmin Li · Avetik Karagulyan · Peter Richtarik
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Workshop
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Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
Suyu Ge · Yunan Zhang · Liyuan Liu · Minjia Zhang · Jiawei Han · Jianfeng Gao
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