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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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Tue 14:00 |
Information-Theoretic GAN Compression with Variational Energy-based Model Minsoo Kang · Hyewon Yoo · Eunhee Kang · Sehwan Ki · Hyong Euk Lee · Bohyung Han |
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Workshop
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Distributed Newton-Type Methods with Communication Compression and Bernoulli Aggregation Rustem Islamov · Xun Qian · Slavomír Hanzely · Mher Safaryan · Peter Richtarik |
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Poster
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Flexible Neural Image Compression via Code Editing Chenjian Gao · Tongda Xu · Dailan He · Yan Wang · Hongwei Qin |
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Poster
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Thu 9:00 |
Data-Efficient Structured Pruning via Submodular Optimization Marwa El Halabi · Suraj Srinivas · Simon Lacoste-Julien |
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Poster
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Thu 9:00 |
Lower Bounds on Randomly Preconditioned Lasso via Robust Sparse Designs Jonathan Kelner · Frederic Koehler · Raghu Meka · Dhruv Rohatgi |
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Panel
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Tue 18:45 |
Panel 2B-4: Extreme Compression for… & Exploring Length Generalization… Cem Anil · Minjia Zhang |
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Poster
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Wed 9:00 |
Deep Compression of Pre-trained Transformer Models Naigang Wang · Chi-Chun (Charlie) Liu · Swagath Venkataramani · Sanchari Sen · Chia-Yu Chen · Kaoutar El Maghraoui · Vijayalakshmi (Viji) Srinivasan · Leland Chang |
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Poster
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Tue 9:00 |
Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training Geng Yuan · Yanyu Li · Sheng Li · Zhenglun Kong · Sergey Tulyakov · Xulong Tang · Yanzhi Wang · Jian Ren |
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Poster
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Wed 9:00 |
Signal Recovery with Non-Expansive Generative Network Priors Jorio Cocola |
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Poster
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Thu 14:00 |
Generalization Gap in Amortized Inference Mingtian Zhang · Peter Hayes · David Barber |