Chia-Yu Chen
9 papers · 2018–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Academic Marathon (6) π Conference Polyglot (4) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π₯
Unstoppable
(5)
Conferences
NIPS (5)
INTERSPEECH (2)
ICLR (1)
ICML (1)
Top co-authors
Keywords
model quantization
(4)
model compression
(3)
recurrent neural network transducer
(2)
speech recognition
(2)
efficient computing
(2)
gradient computation
(1)
communication efficiency
(1)
long short-term memory
(1)
recurrent neural network
(1)
deep neural network
(1)
gradient compression
(1)
language model
(1)
low precision training
(1)
weight quantization
(1)
training acceleration
(1)
beam search
(1)
word error rate
(1)
quantization aware training
(1)
4-bit quantization
(1)
language model fusion
(1)
Papers
Reshape and Adapt for Output Quantization (RAOQ): Quantization-aware Training for In-memory Computing Systems
ICML 2024
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
NIPS 2022
4-Bit Quantization of LSTM-Based Speech Recognition Models
INTERSPEECH 2021
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
NIPS 2020
Ultra-Low Precision 4-bit Training of Deep Neural Networks
NIPS 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
NIPS 2019
Training Deep Neural Networks with 8-bit Floating Point Numbers
NIPS 2018