Kailash Gopalakrishnan
9 papers · 2015–2022 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (12) π£ Hot Topic Early Bird
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Keyword Champion
(2)
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Topic Evolution
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Unstoppable Β· Bronze
Top co-authors
Research topics
Keywords
model quantization
(4)
model compression
(4)
efficient computing
(3)
low-precision training
(2)
recurrent neural network transducer
(2)
stochastic rounding
(2)
speech recognition
(2)
numerical precision
(2)
neural network training
(2)
deep neural network
(1)
recurrent neural network
(1)
long short-term memory
(1)
neural network optimization
(1)
gradient compression
(1)
communication efficiency
(1)
fixed-point arithmetic
(1)
gradient computation
(1)
training acceleration
(1)
weight quantization
(1)
language model
(1)
Papers
Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization
Interspeech 2022
4-Bit Quantization of LSTM-Based Speech Recognition Models
Interspeech 2021
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
NeurIPS 2020
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
NeurIPS 2020
Ultra-Low Precision 4-bit Training of Deep Neural Networks
NeurIPS 2020
Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks
ICLR 2019
Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks
NeurIPS 2019
Training Deep Neural Networks with 8-bit Floating Point Numbers
NeurIPS 2018
Deep Learning with Limited Numerical Precision
ICML 2015