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Poster
Quantized Compressed Sensing with Score-Based Generative Models
Xiangming Meng · Yoshiyuki Kabashima
Poster
A2Q: Aggregation-Aware Quantization for Graph Neural Networks
Zeyu Zhu · Fanrong Li · Zitao Mo · Qinghao Hu · Gang Li · Zejian Liu · Xiaoyao Liang · Jian Cheng
Poster
Tue 2:30 LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
Sharath Girish · Kamal Gupta · Saurabh Singh · Abhinav Shrivastava
Poster
Mon 7:30 Become a Proficient Player with Limited Data through Watching Pure Videos
Weirui Ye · Yunsheng Zhang · Pieter Abbeel · Yang Gao
Poster
Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats
Brian Chmiel · Ron Banner · Elad Hoffer · Hilla Ben-Yaacov · Daniel Soudry
Poster
Globally Optimal Training of Neural Networks with Threshold Activation Functions
Tolga Ergen · Halil Gulluk · Jonathan Lacotte · Mert Pilanci
Poster
Tue 2:30 FIT: A Metric for Model Sensitivity
Ben Zandonati · Adrian Pol · Maurizio Pierini · Olya Sirkin · Tal Kopetz
Poster
Wed 7:30 Block and Subword-Scaling Floating-Point (BSFP) : An Efficient Non-Uniform Quantization For Low Precision Inference
Yun-Chen Lo · Tse-Kuang Lee · Ren-Shuo Liu
Poster
Mon 7:30 Bit-Pruning: A Sparse Multiplication-Less Dot-Product
Yusuke Sekikawa · Shingo Yashima
Poster
Wed 7:30 PowerQuant: Automorphism Search for Non-Uniform Quantization
Edouard YVINEC · Arnaud Dapogny · MATTHIEU CORD · Kevin Bailly
Poster
OPTQ: Accurate Quantization for Generative Pre-trained Transformers
Elias Frantar · Saleh Ashkboos · Torsten Hoefler · Dan Alistarh
Poster
Mon 2:30 Distributed Extra-gradient with Optimal Complexity and Communication Guarantees
Ali Ramezani-Kebrya · Kimon Antonakopoulos · Igor Krawczuk · Justin Deschenaux · Volkan Cevher