KDLSQ-BERT: A Quantized Bert Combining Knowledge Distillation with Learned Step Size Quantization

15 January 2021

Papers citing "KDLSQ-BERT: A Quantized Bert Combining Knowledge Distillation with Learned Step Size Quantization"

36 / 36 papers shown

Title
On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance Jaskirat Singh Bram Adams Ahmed E. Hassan VLM 91 0 0 01 Nov 2024
TernaryBERT: Distillation-aware Ultra-low Bit BERT Wei Zhang Lu Hou Yichun Yin Lifeng Shang Xiao Chen Xin Jiang Qun Liu MQ 93 211 0 27 Sep 2020
GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference Ali Hadi Zadeh Isak Edo Omar Mohamed Awad Andreas Moshovos MQ 65 188 0 08 May 2020
Training with Quantization Noise for Extreme Model Compression Angela Fan Pierre Stock Benjamin Graham Edouard Grave Remi Gribonval Hervé Jégou Armand Joulin MQ 93 245 0 15 Apr 2020
LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression Yihuan Mao Yujing Wang Chufan Wu Chen Zhang Yang-Feng Wang Yaming Yang Quanlu Zhang Yunhai Tong Jing Bai 49 74 0 08 Apr 2020
DynaBERT: Dynamic BERT with Adaptive Width and Depth Lu Hou Zhiqi Huang Lifeng Shang Xin Jiang Xiao Chen Qun Liu MQ 79 322 0 08 Apr 2020
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers Wenhui Wang Furu Wei Li Dong Hangbo Bao Nan Yang Ming Zhou VLM 156 1,278 0 25 Feb 2020
QKD: Quantization-aware Knowledge Distillation Jangho Kim Yash Bhalgat Jinwon Lee Chirag I. Patel Nojun Kwak MQ 90 66 0 28 Nov 2019
Structured Pruning of a BERT-based Question Answering Model J. Scott McCarley Rishav Chakravarti Avirup Sil 54 53 0 14 Oct 2019
Q8BERT: Quantized 8Bit BERT Ofir Zafrir Guy Boudoukh Peter Izsak Moshe Wasserblat MQ 83 505 0 14 Oct 2019
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter Victor Sanh Lysandre Debut Julien Chaumond Thomas Wolf 234 7,520 0 02 Oct 2019
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Zhenzhong Lan Mingda Chen Sebastian Goodman Kevin Gimpel Piyush Sharma Radu Soricut SSL AIMat 371 6,463 0 26 Sep 2019
Reducing Transformer Depth on Demand with Structured Dropout Angela Fan Edouard Grave Armand Joulin 120 595 0 25 Sep 2019
TinyBERT: Distilling BERT for Natural Language Understanding Xiaoqi Jiao Yichun Yin Lifeng Shang Xin Jiang Xiao Chen Linlin Li F. Wang Qun Liu VLM 109 1,860 0 23 Sep 2019
Patient Knowledge Distillation for BERT Model Compression S. Sun Yu Cheng Zhe Gan Jingjing Liu 134 843 0 25 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 668 24,528 0 26 Jul 2019
And the Bit Goes Down: Revisiting the Quantization of Neural Networks Pierre Stock Armand Joulin Rémi Gribonval Benjamin Graham Hervé Jégou MQ 82 149 0 12 Jul 2019
A Tensorized Transformer for Language Modeling Xindian Ma Peng Zhang Shuai Zhang Nan Duan Yuexian Hou D. Song M. Zhou 63 167 0 24 Jun 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding Zhilin Yang Zihang Dai Yiming Yang J. Carbonell Ruslan Salakhutdinov Quoc V. Le AI4CE 232 8,444 0 19 Jun 2019
What Does BERT Look At? An Analysis of BERT's Attention Kevin Clark Urvashi Khandelwal Omer Levy Christopher D. Manning MILM 218 1,601 0 11 Jun 2019
Are Sixteen Heads Really Better than One? Paul Michel Omer Levy Graham Neubig MoE 103 1,062 0 25 May 2019
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned Elena Voita David Talbot F. Moiseev Rico Sennrich Ivan Titov 114 1,146 0 23 May 2019
Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks Sambhav R. Jain Albert Gural Michael Wu Chris Dick MQ 77 152 0 19 Mar 2019
Learned Step Size Quantization S. K. Esser J. McKinstry Deepika Bablani R. Appuswamy D. Modha MQ 75 809 0 21 Feb 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,114 0 11 Oct 2018
Attention-Guided Answer Distillation for Machine Reading Comprehension Minghao Hu Yuxing Peng Furu Wei Zhen Huang Dongsheng Li Nan Yang M. Zhou FaML 60 75 0 23 Aug 2018
Quantizing deep convolutional networks for efficient inference: A whitepaper Raghuraman Krishnamoorthi MQ 141 1,019 0 21 Jun 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 1.1K 7,182 0 20 Apr 2018
Model compression via distillation and quantization A. Polino Razvan Pascanu Dan Alistarh MQ 83 731 0 15 Feb 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob S. Kligys Bo Chen Menglong Zhu Matthew Tang Andrew G. Howard Hartwig Adam Dmitry Kalenichenko MQ 156 3,138 0 15 Dec 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 725 132,199 0 12 Jun 2017
Sequence-Level Knowledge Distillation Yoon Kim Alexander M. Rush 122 1,120 0 25 Jun 2016
SQuAD: 100,000+ Questions for Machine Comprehension of Text Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang RALM 292 8,160 0 16 Jun 2016
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 362 19,723 0 09 Mar 2015
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 308 3,893 0 19 Dec 2014
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 384 3,151 0 15 Aug 2013