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Poster
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Wed 14:00 |
Causality Preserving Chaotic Transformation and Classification using Neurochaos Learning Harikrishnan N B · Aditi Kathpalia · Nithin Nagaraj |
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Poster
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Compressible-composable NeRF via Rank-residual Decomposition Jiaxiang Tang · Xiaokang Chen · Jingbo Wang · Gang Zeng |
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Poster
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Thu 14:00 |
Video compression dataset and benchmark of learning-based video-quality metrics Anastasia Antsiferova · Sergey Lavrushkin · Maksim Smirnov · Aleksandr Gushchin · Dmitriy Vatolin · Dmitriy Kulikov |
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Poster
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Thu 9:00 |
Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning Elias Frantar · Dan Alistarh |
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Poster
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A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models Yuanxin Liu · Fandong Meng · Zheng Lin · Jiangnan Li · Peng Fu · Yanan Cao · Weiping Wang · Jie Zhou |
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Poster
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Thu 14:00 |
Selective compression learning of latent representations for variable-rate image compression Jooyoung Lee · Seyoon Jeong · Munchurl Kim |
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Poster
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Thu 14:00 |
Model Preserving Compression for Neural Networks Jerry Chee · Megan Flynn (née Renz) · Anil Damle · Christopher De Sa |
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Poster
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Tue 14:00 |
PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization Sanae Lotfi · Marc Finzi · Sanyam Kapoor · Andres Potapczynski · Micah Goldblum · Andrew Wilson |
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Poster
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Thu 14:00 |
Learning Options via Compression Yiding Jiang · Evan Liu · Benjamin Eysenbach · J. Zico Kolter · Chelsea Finn |
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Poster
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Thu 14:00 |
Few-Shot Non-Parametric Learning with Deep Latent Variable Model Zhiying Jiang · Yiqin Dai · Ji Xin · Ming Li · Jimmy Lin |
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Poster
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Tue 9:00 |
Wavelet Feature Maps Compression for Image-to-Image CNNs Shahaf E. Finder · Yair Zohav · Maor Ashkenazi · Eran Treister |
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Poster
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Structural Pruning via Latency-Saliency Knapsack Maying Shen · Hongxu Yin · Pavlo Molchanov · Lei Mao · Jianna Liu · Jose M. Alvarez |