Chia-Yu Chen
9 papers · 2018–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze
🧬
Topic Evolution
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Keywords
model quantization
(4)
model compression
(3)
recurrent neural network transducer
(2)
efficient computing
(2)
speech recognition
(2)
deep neural network
(1)
long short-term memory
(1)
neural network optimization
(1)
communication efficiency
(1)
quantization error
(1)
gradient computation
(1)
recurrent neural network
(1)
distributed training
(1)
gradient compression
(1)
weight quantization
(1)
language model
(1)
low-precision training
(1)
training acceleration
(1)
deep learning training
(1)
knowledge distillation
(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
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
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