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Papers
Low-bit Shift Network for End-to-End Spoken Language Understanding
Interspeech 2022
Low-complex and Highly-performed Binary Residual Neural Network for Small-footprint Keyword Spotting
Interspeech 2022
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking
IJCAI 2022
Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning
NeurIPS 2022
Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training
ICML 2022
QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning
ICML 2022
Quadapter: Adapter for GPT-2 Quantization
EMNLP 2022
Quantized Training of Gradient Boosting Decision Trees
NeurIPS 2022
Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer
NeurIPS 2022
Scaling Language Model Size in Cross-Device Federated Learning
ACL 2022
SDQ: Stochastic Differentiable Quantization with Mixed Precision
ICML 2022
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation
ICLR 2022
Sub-8-Bit Quantization Aware Training for 8-Bit Neural Network Accelerator with On-Device Speech Recognition
Interspeech 2022
Too Brittle to Touch: Comparing the Stability of Quantization and Distillation towards Developing Low-Resource MT Models
EMNLP 2022
Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models
EMNLP 2022
Who Says Elephants Can’t Run: Bringing Large Scale MoE Models into Cloud Scale Production
EMNLP 2022
Zero-Shot Dynamic Quantization for Transformer Inference
EMNLP 2022
4-Bit Quantization of LSTM-Based Speech Recognition Models
Interspeech 2021
Alternating Direction Method of Multipliers for Quantization
AISTATS 2021
Arabic Compact Language Modelling for Resource Limited Devices
EACL 2021
Automated Log-Scale Quantization for Low-Cost Deep Neural Networks
CVPR 2021
BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer
NeurIPS 2021
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression
EMNLP 2021
Deeplite NeutrinoTM: A BlackBox Framework for Constrained Deep Learning Model Optimization
AAAI 2021
Degree-Quant: Quantization-Aware Training for Graph Neural Networks
ICLR 2021