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Workshop
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Fri 11:40
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Spotlight 8: Yunhao Ge, Graph Autoencoder for Graph Compression and Representation Learning
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Poster
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Tue 9:00
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Self-Supervised Learning of Compressed Video Representations
Youngjae Yu · Sangho Lee · Gunhee Kim · Yale Song
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Workshop
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Fri 5:20
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Spotlight 4: Théo Ladune et al., Conditional Coding for Flexible Learned Video Compression
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Poster
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Tue 1:00
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Neurally Augmented ALISTA
Freya Behrens · Jonathan Sauder · Peter Jung
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Workshop
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Fri 6:00
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Keynote 3: Ehsan Saboori. Title: Deep learning model compression using neural network design space exploration
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Poster
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Wed 1:00
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Deep Learning meets Projective Clustering
Alaa Maalouf · Harry Lang · Daniela Rus · Dan Feldman
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Poster
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Tue 1:00
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Lossless Compression of Structured Convolutional Models via Lifting
Gustav Sourek · Filip Zelezny · Ondrej Kuzelka
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Poster
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Tue 17:00
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Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration
Jaekyeom Kim · Minjung Kim · Dongyeon Woo · Gunhee Kim
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Poster
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Tue 1:00
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Learning Accurate Entropy Model with Global Reference for Image Compression
Yichen Qian · Zhiyu Tan · Xiuyu Sun · Ming Lin · Dongyang Li · Zhenhong Sun · Li Hao · Rong Jin
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Poster
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Mon 1:00
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Overfitting for Fun and Profit: Instance-Adaptive Data Compression
Ties van Rozendaal · Iris Huijben · Taco Cohen
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Poster
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Thu 9:00
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Dataset Meta-Learning from Kernel Ridge-Regression
Timothy Nguyen · Zhourong Chen · Jaehoon Lee
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Poster
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Tue 17:00
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Knowledge Distillation as Semiparametric Inference
Tri Dao · Govinda Kamath · Vasilis Syrgkanis · Lester Mackey
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