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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 Simple Augmentation Goes a Long Way: ADRL for DNN Quantization
Lin Ning · Guoyang Chen · Weifeng Zhang · Xipeng Shen
Poster
Thu 1:00 Incremental few-shot learning via vector quantization in deep embedded space
Kuilin Chen · Chi-Guhn Lee
Poster
Mon 1:00 Training with Quantization Noise for Extreme Model Compression
Pierre Stock · Angela Fan · Benjamin Graham · Edouard Grave · Rémi Gribonval · Hervé Jégou · Armand Joulin
Poster
Mon 1:00 Overfitting for Fun and Profit: Instance-Adaptive Data Compression
Ties van Rozendaal · Iris Huijben · Taco Cohen
Poster
Wed 9:00 Faster Binary Embeddings for Preserving Euclidean Distances
Jinjie Zhang · Rayan Saab
Wed 6:00 Panel discussion on model efficiency and quantization
Poster
Mon 9:00 WrapNet: Neural Net Inference with Ultra-Low-Precision Arithmetic
Renkun Ni · Hong-Min Chu · Oscar Castaneda · Ping-yeh Chiang · Christoph Studer · Tom Goldstein
Poster
Wed 1:00 Degree-Quant: Quantization-Aware Training for Graph Neural Networks
Shyam Tailor · Javier Fernandez-Marques · Nicholas Lane
Poster
Wed 1:00 BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction
Yuhang Li · Ruihao Gong · Xu Tan · Yang Yang · Peng Hu · Qi Zhang · fengwei yu · Wei Wang · Shi Gu