Implementation of NeurIPS 2019 paper "Normalization Helps Training of Quantized LSTM"
☆31Jul 25, 2024Updated last year
Alternatives and similar repositories for Normalized-Quantized-LSTM
Users that are interested in Normalized-Quantized-LSTM are comparing it to the libraries listed below
Sorting:
- PyTorch code for full quantization of DNN using BCGD☆14Jul 24, 2019Updated 6 years ago
- Optimizing Deep Convolutional Neural Network with Ternarized Weights and High Accuracy☆16Jan 27, 2019Updated 7 years ago
- ☆20Feb 26, 2021Updated 5 years ago
- Proximal Mean-field for Neural Network Quantization☆21Apr 9, 2020Updated 5 years ago
- Extend bert-nmt to context-aware translation.☆11May 24, 2021Updated 4 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆30Feb 19, 2019Updated 7 years ago
- Code for ICML2020 "Sequence Generation with Mixed Representations"☆12Jun 27, 2020Updated 5 years ago
- Implementation for Trained Ternary Network.☆108Jan 13, 2017Updated 9 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Jan 22, 2019Updated 7 years ago
- Codes for "Towards Binary-Valued Gates for Robust LSTM Training".☆75Jul 22, 2018Updated 7 years ago
- ☆17Jun 3, 2024Updated last year
- This is th code to FAT method with links to quantized tflite models. (CC BY-NC-ND)☆19Dec 20, 2018Updated 7 years ago
- DNN quantization with outlier channel splitting (ICML'19)☆113Mar 21, 2020Updated 6 years ago
- simple demo codes for Learning to Teach with Dynamic Loss Functions☆17Oct 22, 2019Updated 6 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54May 8, 2020Updated 5 years ago
- Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"☆27Oct 24, 2019Updated 6 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆22Nov 15, 2020Updated 5 years ago
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆72Jul 8, 2025Updated 8 months ago
- Semi-supervised Learning for Multi-speaker Text-to-speech Synthesis Using Discrete Speech Representation☆39Jul 16, 2020Updated 5 years ago
- YOLOv3 quantization model v10, only for quantization off-line☆21Jul 24, 2019Updated 6 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆17Jan 5, 2021Updated 5 years ago
- 4G GPU & 10 Minutes for train☆12Aug 9, 2023Updated 2 years ago
- MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion (ACL 2025)☆35Jul 16, 2025Updated 8 months ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆245Aug 30, 2022Updated 3 years ago
- LSTM based human activity recognition using smart phone sensor dataset☆22Jun 17, 2017Updated 8 years ago
- ☆15Jan 8, 2020Updated 6 years ago
- ACL19_Depth_Growing_for_Neural_Machine_Translation☆23Jul 6, 2019Updated 6 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆41Mar 24, 2023Updated 2 years ago
- [ICCAD 2025] Squant☆15Jul 3, 2025Updated 8 months ago
- Feature Aware Normalization - Code for "Context-based Normalization of Histological Stains using Deep Convolutional Features"☆15Nov 11, 2018Updated 7 years ago
- [NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: …☆49Dec 30, 2021Updated 4 years ago
- Compact LSTM inference kernel (CLINK) designed in C/HLS for FPGA implementation.☆17Oct 7, 2019Updated 6 years ago
- [CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for a…☆180Mar 14, 2020Updated 6 years ago
- Filter Banks, Fast Python Implementation☆42Jul 9, 2022Updated 3 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆60Jul 27, 2020Updated 5 years ago
- Implementation for NATv2.☆23Feb 20, 2021Updated 5 years ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆76Dec 8, 2019Updated 6 years ago
- [2025 ACL Findings] Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization☆25Oct 29, 2025Updated 4 months ago
- Code for paper 'Minimizing FLOPs to Learn Efficient Sparse Representations' published at ICLR 2020☆20Feb 14, 2020Updated 6 years ago