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Poster
Mon 1:00 Overfitting for Fun and Profit: Instance-Adaptive Data Compression
Ties van Rozendaal · Iris Huijben · Taco Cohen
Poster
Thu 9:00 Dataset Meta-Learning from Kernel Ridge-Regression
Timothy Nguyen · Zhourong Chen · Jaehoon Lee
Poster
Tue 1:00 Neurally Augmented ALISTA
Freya Behrens · Jonathan Sauder · Peter Jung
Poster
Tue 17:00 Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration
Jaekyeom Kim · Minjung Kim · Dongyeon Woo · Gunhee Kim
Poster
Wed 1:00 Deep Learning meets Projective Clustering
Alaa Maalouf · Harry Lang · Daniela Rus · Dan Feldman
Poster
Thu 9:00 BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization
Huanrui Yang · Lin Duan · Yiran Chen · Hai Li
Poster
Wed 17:00 GANs Can Play Lottery Tickets Too
Xuxi Chen · Zhenyu Zhang · Yongduo Sui · Tianlong Chen
Poster
Tue 9:00 Self-Supervised Learning of Compressed Video Representations
Youngjae Yu · Sangho Lee · Gunhee Kim · Yale Song
Poster
Tue 9:00 Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks
Thomas Bird · Friso Kingma · David Barber
Poster
Tue 1:00 Lossless Compression of Structured Convolutional Models via Lifting
Gustav Sourek · Filip Zelezny · Ondrej Kuzelka
Poster
Thu 9:00 Initialization and Regularization of Factorized Neural Layers
Mikhail Khodak · Neil Tenenholtz · Lester Mackey · Nicolo Fusi
Poster
Tue 9:00 UMEC: Unified model and embedding compression for efficient recommendation systems
Jiayi Shen · Haotao Wang · Shupeng Gui · Jianchao Tan · Zhangyang Wang · Ji Liu