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97 Results
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Workshop
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Probabilistic Proof State Compression: Optimizing LLM-Guided Formal Verification Noor Rahim · Ali Rahim |
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Bridging the Gap between Diffusion Models and Universal Quantization for Image Compression Lucas Relic · Roberto Azevedo · Yang Zhang · Markus Gross · Christopher Schroers |
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MCUCoder: Adaptive Bitrate Learned Video Compression for IoT Devices Ali Hojjat · Janek Haberer · Olaf Landsiedel |
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Communication Compression for Tensor Parallel LLM Inference Jan Hansen-Palmus · Alok Verma · Michael Truong Le |
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The Trichromatic Strong Lottery Ticket Hypothesis: Neural Compression With Three Primary Supermasks Ángel López García-Arias · Yasuyuki Okoshi · Hikari Otsuka · Daiki Chijiwa · Yasuhiro Fujiwara · Susumu Takeuchi · Masato Motomura |
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Losslessly Compressible Neural Network Parameters Matthew Farrugia-Roberts |
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Workshop
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Perception Loss Function Adaptive to Rate for Learned Video Compression Sadaf Salehkalaibar · Truong Buu Phan · João Atz Dick · Ashish Khisti · Jun Chen · Wei Yu |
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LORC: Low-Rank Compression for LLMs KV Cache with a Progressive Compression Strategy Rongzhi Zhang · Kuan Wang · Liyuan Liu · Shuohang Wang · Hao Cheng · Chao Zhang · yelong shen |
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Workshop
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LoRC: Low-Rank Compression for LLMs KV Cache with a Progressive Compression Strategy Rongzhi Zhang · Kuan Wang · Liyuan Liu · Shuohang Wang · Hao Cheng · Chao Zhang · Yelong Shen |
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Workshop
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Rethinking LLM Memorization through the Lens of Adversarial Compression Avi Schwarzschild · Zhili Feng · Pratyush Maini · Zachary Lipton · J. Zico Kolter |
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Workshop
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Sat 11:42 |
GEAR: An Efficient Error Reduction Framework for KV Cache Compression in LLM Inference · Qingru Zhang · Souvik Kundu · Geonhwa Jeong · Zaoxing Liu · Tushar Krishna · Tuo Zhao |
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Workshop
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NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks Yongchang Hao · Yanshuai Cao · Lili Mou |