Swagath Venkataramani
6 papers · 2019–2022 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(13)
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Hot Topic Early Bird
Venues
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Research topics
Keywords
model quantization
(3)
model compression
(3)
recurrent neural network transducer
(2)
efficient computing
(2)
speech recognition
(2)
long short-term memory
(1)
recurrent neural network
(1)
deep neural network
(1)
gradient compression
(1)
language model
(1)
weight quantization
(1)
low-precision training
(1)
training acceleration
(1)
beam search
(1)
quantization-aware training
(1)
word error rate
(1)
4-bit quantization
(1)
language model fusion
(1)
structural sparsity
(1)
low precision
(1)
Papers
Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization
Interspeech 2022
Deep Compression of Pre-trained Transformer Models
NeurIPS 2022
4-Bit Quantization of LSTM-Based Speech Recognition Models
Interspeech 2021
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
NeurIPS 2020
Ultra-Low Precision 4-bit Training of Deep Neural Networks
NeurIPS 2020
Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks
NeurIPS 2019