firstbacksecondback
13 Results
|
Poster
|
Wed 1:00 |
Degree-Quant: Quantization-Aware Training for Graph Neural Networks Shyam Tailor · Javier Fernandez-Marques · Nicholas Lane |
|
|
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 |
|
|
Poster
|
Wed 17:00 |
Simple Augmentation Goes a Long Way: ADRL for DNN Quantization Lin Ning · Guoyang Chen · Weifeng Zhang · Xipeng Shen |
|
|
Poster
|
Thu 9:00 |
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization Huanrui Yang · Lin Duan · Yiran Chen · Hai Li |
|
|
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
|
Wed 1:00 |
Neural gradients are near-lognormal: improved quantized and sparse training Brian Chmiel · Liad Ben-Uri · Moran Shkolnik · Elad Hoffer · Ron Banner · Daniel Soudry |
|
|
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 |
|
|
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
|
Thu 1:00 |
Sparse Quantized Spectral Clustering Zhenyu Liao · Romain Couillet · Michael W Mahoney |
|
|
Spotlight
|
Thu 20:35 |
Sparse Quantized Spectral Clustering Zhenyu Liao · Romain Couillet · Michael W Mahoney |