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Public repository by JianpingLin. Primary language: Python.
Publication: Generalized Product Quantization Network for Semi-Supervised Image Retrieval. Published 2020.
[CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural…
Publication: Central Similarity Quantization for Efficient Image and Video Retrieval. Published 2020.
CVPR2020/TNNLS2023: Central Similarity Quantization/Hashing for Efficient Image and Video Retrieval
Publication: Adaptive Loss-Aware Quantization for Multi-Bit Networks. Published 2020.
Publication: APQ: Joint Search for Network Architecture, Pruning and Quantization Policy. Published 2020.
Publication: Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach. Published 2020.
Publication: AdaBits: Neural Network Quantization With Adaptive Bit-Widths. Published 2020.
Publication: Efficient Execution of Quantized Deep Learning Models: A Compiler Approach. Published Jun 18, 2020.
Publication: Post-Training Piecewise Linear Quantization for Deep Neural Networks. Published Jan 31, 2020.
Publication: BiQGEMM: Matrix Multiplication with Lookup Table For Binary-Coding-based Quantized DNNs. Published May 20, 2020.
Publication: Leveraging Automated Mixed-Low-Precision Quantization for tiny edge microcontrollers. Published Aug 12, 2020.
Publication: WrapNet: Neural Net Inference with Ultra-Low-Resolution Arithmetic. Published Jul 26, 2020.
Publication: Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation. Published Apr 20, 2020.
Publication: Training Binary Neural Networks using the Bayesian Learning Rule. Published Feb 25, 2020.
Public repository by AlbertOh90. Primary language: Jupyter Notebook.
Code for: "And the bit goes down: Revisiting the quantization of neural networks"
Publication: Vector Quantization-Based Regularization for Autoencoders. Published Apr 3, 2020.
Publication: Towards Accurate Quantization and Pruning via Data-free Knowledge Transfer. Published Oct 14, 2020.
Publication: RTN: Reparameterized Ternary Network. Published Dec 4, 2019.
Publication: Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning. Published Apr 3, 2020.
Publication: Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT. Published Apr 3, 2020.
Publication: Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search. Published Nov 12, 2019.
Publication: Indirect Stochastic Gradient Quantization and Its Application in Distributed Deep Learning. Published Apr 3, 2020.
Publication: HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface. Published Apr 3, 2020.
Publication: Embedding Compression with Isotropic Iterative Quantization. Published Jan 11, 2020.
Publication: Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers. Published Jan 12, 2020.
Publication: Adversarial Attack on Deep Product Quantization Network for Image Retrieval. Published Feb 26, 2020.
Publication: Bit Efficient Quantization for Deep Neural Networks. Published Oct 7, 2019.
Publication: Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization. Published Jun 5, 2019.
Publication: Deep Binary Reconstruction for Cross-modal Hashing. Published Aug 17, 2017.
Publication: Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming. Published Jun 14, 2020.
Publication: How Does Batch Normalization Help Binary Training?. Published Sep 18, 2019.
Publication: Distillation Guided Residual Learning for Binary Convolutional Neural Networks. Published Jul 10, 2020.
Publication: Accelerating Binarized Neural Networks via Bit-Tensor-Cores in Turing GPUs. Published Jun 30, 2020.