DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
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Any-Precision Deep Neural Networks (AAAI 2021)
Code for "Adaptive Gradient Quantization for Data-Parallel SGD", published in NeurIPS 2020.
Publication: End to End Binarized Neural Networks for Text Classification. Published Oct 11, 2020.
Publication: Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization. Published Jul 20, 2020.
Publication: Quantization Guided JPEG Artifact Correction. Published Apr 17, 2020.
Publication: QUEST: Quantized embedding space for transferring knowledge. Published Dec 3, 2019.
Publication: PAMS: Quantized Super-Resolution via Parameterized Max Scale. Published Nov 9, 2020.
Publication: HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs. Published Jul 20, 2020.
Publication: Generative Low-bitwidth Data Free Quantization. Published Mar 7, 2020.
Publication: Finding Non-Uniform Quantization Schemes using Multi-Task Gaussian Processes. Published Jul 15, 2020.
Publication: Differentiable Joint Pruning and Quantization for Hardware Efficiency. Published Jul 20, 2020.
Publication: DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural Networks. Published Jul 19, 2020.
Publication: One Weight Bitwidth to Rule Them All. Published Aug 22, 2020.
Official code for ICML 2020 paper "Variational Bayesian Quantization"
BitSplit Post-trining Quantization
Code for "Online Learned Continual Compression with Adaptive Quantization Modules"
Differentiable Product Quantization for End-to-End Embedding Compression.
PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)
Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network
This repository is the official implementation of Quantized Variational Inference (NeurIPS 2020).
Public repository by sony-si. Primary language: Python.
official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)
Publication: Once-for-All: Train One Network and Specialize it for Efficient Deployment. Published Aug 26, 2019.
Publication: BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations. Published Feb 16, 2020.
Publication: Training Binary Neural Networks with Real-to-Binary Convolutions. Published Mar 25, 2020.
Publication: AdaBits: Neural Network Quantization with Adaptive Bit-Widths. Published Dec 20, 2019.
Publication: LSQ+: Improving low-bit quantization through learnable offsets and better initialization. Published Apr 20, 2020.
Publication: Data-Free Network Quantization With Adversarial Knowledge Distillation. Published May 8, 2020.
Publication: Balanced Binary Neural Networks with Gated Residual. Published Sep 26, 2019.
Publication: Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML. Published Mar 11, 2020.
PyTorch implementation for the APoT quantization (ICLR 2020)
Publication: Structured Compression by Weight Encryption for Unstructured Pruning and Quantization. Published 2020.
