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13 Results

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Poster
Wed 14:30 Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network
Daehyun Ahn · Dongsoo Lee · Taesu Kim · Jae-Joon Kim
Poster
Thu 9:00 Learning Finite State Representations of Recurrent Policy Networks
Anurag Koul · Alan Fern · Samuel Greydanus
Poster
Wed 14:30 An Empirical study of Binary Neural Networks' Optimisation
Milad Alizadeh · Javier Fernandez-Marques · Nicholas Lane · Yarin Gal
Poster
Wed 14:30 From Hard to Soft: Understanding Deep Network Nonlinearities via Vector Quantization and Statistical Inference
Randall Balestriero · Richard Baraniuk
Poster
Wed 14:30 Analysis of Quantized Models
LU HOU · Ruiliang Zhang · James Kwok
Poster
Tue 14:30 Defensive Quantization: When Efficiency Meets Robustness
Ji Lin · Chuang Gan · Song Han
Poster
Wed 14:30 Relaxed Quantization for Discretized Neural Networks
Christos Louizos · Matthias Reisser · Tijmen Blankevoort · Efstratios Gavves · Max Welling
Poster
Wed 14:30 ProxQuant: Quantized Neural Networks via Proximal Operators
Yu Bai · Yu-Xiang Wang · Edo Liberty
Poster
Wed 14:30 Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm
Charbel Sakr · Naresh Shanbhag
Poster
Wed 14:30 On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks
Yukun Ding · Jinglan Liu · Jinjun Xiong · Yiyu Shi
Poster
Wed 14:30 Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets
Penghang Yin · Jiancheng Lyu · shuai zhang · Stanley J Osher · YINGYONG QI · Jack Xin
Poster
Thu 9:00 Learning Recurrent Binary/Ternary Weights
Arash Ardakani · Zhengyun Ji · Sean Smithson · Brett Meyer · Warren Gross