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21 Results

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Poster
Thu 11:00 Sparse Bayesian Generative Modeling for Compressive Sensing
Benedikt Böck · Sadaf Syed · Wolfgang Utschick
Workshop
LiteVAR: Compressing Visual Autoregressive Modelling with Efficient Attention and Quantization
Rui Xie · Tianchen Zhao · Zhihang Yuan · Rui Wan · Wenxi Gao · Zhenhua Zhu · Xuefei Ning · Yu Wang
Workshop
Towards Scalable Compression with Universally Quantized Diffusion Models
Yibo Yang · Justus C. Will · Stephan Mandt
Workshop
Residual vector quantization for KV cache compression in large language model
Ankur Kumar
Workshop
Skipping Computations in Multimodal LLMs
Mustafa Shukor · Matthieu Cord
Poster
Thu 16:30 ESPACE: Dimensionality Reduction of Activations for Model Compression
Charbel Sakr · Brucek Khailany
Poster
Thu 11:00 Compressing Large Language Models using Low Rank and Low Precision Decomposition
Rajarshi Saha · Naomi Sagan · Varun Srivastava · Andrea Goldsmith · Mert Pilanci
Workshop
You Never Know: Quantization Induces Inconsistent Biases in Vision-Language Foundation Models
Eric Slyman · Anirudh Kanneganti · Sanghyun Hong · Stefan Lee
Poster
Wed 16:30 MiniCache: KV Cache Compression in Depth Dimension for Large Language Models
Akide Liu · Jing Liu · Zizheng Pan · Yefei He · Reza Haffari · Bohan Zhuang
Workshop
Bridging the Gap between Diffusion Models and Universal Quantization for Image Compression
Lucas Relic · Roberto Azevedo · Yang Zhang · Markus Gross · Christopher Schroers
Poster
Wed 11:00 DiTFastAttn: Attention Compression for Diffusion Transformer Models
Zhihang Yuan · Hanling Zhang · Lu Pu · Xuefei Ning · Linfeng Zhang · Tianchen Zhao · Shengen Yan · Guohao Dai · Yu Wang
Poster
Fri 16:30 COSMIC: Compress Satellite Image Efficiently via Diffusion Compensation
Ziyuan Zhang · Han Qiu · Maosen Zhang · Jun Liu · Bin Chen · Tianwei Zhang · Hewu Li