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https://www.tensorflow.org/federated/api_docs/python/tff/aggregators/secure_quantized_sum tff.aggregators.secure_quantized_sum | TensorFlow Federated Quantizes and sums values securely. tff aggregators secure quantized sum https://openreview.net/forum?id=SA8xDYrUYB Purrception: Variational Flow Matching for Vector-Quantized Image Generation | OpenReview We introduce Purrception, a variational flow matching approach for vector-quantized image generation that provides explicit categorical supervision while... flow matching image generation variational vector quantized https://openreview.net/forum?id=9UGAUQjibp Quantized Local Independence Discovery for Fine-Grained Causal Dynamics Learning in Reinforcement... Incorporating causal relationships between the variables into dynamics learning has emerged as a promising approach to enhance robustness and generalization in... local independence fine grained https://openreview.net/forum?id=dRilx3vAIH QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead | OpenReview Serving LLMs requires substantial memory due to the storage requirements of Key-Value (KV) embeddings in the KV cache, which grows with sequence length. An... https://www.quantamagazine.org/tag/quantized-academy/page/2/ Quantized Academy | Page 2 | Quanta Magazine page 2 quantized academy quanta magazine https://www.itu.int/rec/T-REC-G.726-200505-I!Cor1/_page.print G.726 : Correction to Annex A: Extensions of Recommendation G.726 for use with uniform-quantized... https://deepai.org/publication/3dq-compact-quantized-neural-networks-for-volumetric-whole-brain-segmentation 3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation | DeepAI Apr 5, 2019 - 04/05/19 - Model architectures have been dramatically increasing in size, improving performance at the cost of resource requirements. In this... neural networks compact quantized https://observablehq.com/@miketahani/webgpu-experiments-quantized-compute?collection=@miketahani/webgpu-basics WebGPU Experiments | Quantized compute / Mike Tahani | Observable Nov 10, 2024 - Uses atomics to prevent parallelization issues, but atomics only work with `u32` and `i32`, so we store float types as ints (quantization) and convert them... webgpu experiments quantized compute mike https://arxiv.org/abs/2012.05529 [2012.05529] Recurrence of Optimum for Training Weight and Activation Quantized Networks Abstract page for arXiv paper 2012.05529: Recurrence of Optimum for Training Weight and Activation Quantized Networks for training https://www.deeplearning.ai/the-batch/microsoft-researchers-show-that-heavily-quantized-versions-of-llama-can-perform-as-well-as-near-full-precision Microsoft Researchers Show That Heavily Quantized Versions of Llama Can Perform As Well As... May 22, 2025 - Using an 8-bit number format like FP8 during training saves computation compared to 16- or 32-bit formats, but it can yield less-accurate results. https://arxiv.org/abs/1309.1507 [1309.1507] A Quantized Johnson Lindenstrauss Lemma: The Finding of Buffon's Needle Abstract page for arXiv paper 1309.1507: A Quantized Johnson Lindenstrauss Lemma: The Finding of Buffon's Needle johnson lindenstrauss lemma https://openreview.net/forum?id=zcx6rIMbbR&referrer=%5Bthe%20profile%20of%20Changhai%20Zhou%5D(%2Fprofile%3Fid%3D~Changhai_Zhou2) Efficient Fine-Tuning of Quantized LLMs via Three-Stage Optimization | OpenReview To address the memory consumption and computational efficiency issues in fine-tuning large language models (LLMs), Parameter-Efficient Fine-Tuning (PEFT) and... fine tuning three stage efficient quantized https://arxiv.org/abs/0905.0246 [0905.0246] Entropy-variation with respect to the resistance in quantized RLC circuit derived by... Abstract page for arXiv paper 0905.0246: Entropy-variation with respect to the resistance in quantized RLC circuit derived by generalized Hellmann-Feynman... https://www.tensorflow.org/versions/r2.10/api_docs/python/tf/compat/v1/nn/quantized_avg_pool tf.compat.v1.nn.quantized_avg_pool | TensorFlow v2.10.1 Produces the average pool of the input tensor for quantized types. tf compat v1 nn quantized https://www.scirp.org/journal/paperinformation?paperid=65493 Negative Norms in Quantized Strings as Dark Energy Density of the Cosmos The present short paper is concerned with accurate explanation as well as quantification of the so called missing dark energy of the cosmos. It was always one... https://www.sciencedaily.com/releases/2023/06/230601160213.htm Finally solved! The great mystery of quantized vortex motion | ScienceDaily Scientists investigated numerically the interaction between a quantized vortex and a normal-fluid. Based on the experimental results, researchers decided the... the great quantized vortex finally solved mystery https://arxiv.org/abs/2012.05529v2 [2012.05529v2] Recurrence of Optimum for Training Weight and Activation Quantized Networks Abstract page for arXiv paper 2012.05529v2: Recurrence of Optimum for Training Weight and Activation Quantized Networks for training https://openreview.net/forum?id=mfKDaJZYF3 LFQUIAD: Lookup-Free Quantized autoencoder for few-shot Unsupervised Industrial Anomaly Detection... Unsupervised anomaly detection (UAD) is crucial in industrial and medical applications, offering scalable and cost-efficient alternatives to manual inspection... https://www.electronicdesign.com/technologies/embedded/digital-ics/processors/dsp/article/21781570/app-gets-new-quantized-filtering-toolbox App Gets New Quantized Filtering Toolbox | Electronic Design The MATLAB design environment has been enhanced with a Quantized Filtering Tool Box that is claimed to accelerate the implementation of both fixed- and... app gets new quantized filtering https://www.elastic.co/search-labs/blog/recall-vector-search-quantization Measuring the recall of quantized vector search - Elasticsearch Labs Mar 20, 2026 - Explaining how to measure recall for vector search in Elasticsearch with minimal setup. the recall vector search measuring quantized elasticsearch https://deepai.org/publication/communication-efficient-design-for-quantized-decentralized-federated-learning Communication-Efficient Design for Quantized Decentralized Federated Learning | DeepAI Mar 15, 2023 - 03/15/23 - Decentralized federated learning (DFL) is a variant of federated learning, where edge nodes only communicate with their one-hop ne... federated learning communication efficient design quantized https://arxiv.org/abs/2509.14391 [2509.14391] Q-ROAR: Outlier-Aware Rescaling for RoPE Position Interpolation in Quantized... Abstract page for arXiv paper 2509.14391: Q-ROAR: Outlier-Aware Rescaling for RoPE Position Interpolation in Quantized Long-Context LLMs https://openreview.net/forum?id=zcx6rIMbbR&referrer=%5Bthe%20profile%20of%20WEIZHONG%20ZHANG%5D(%2Fprofile%3Fid%3D~WEIZHONG_ZHANG2) Efficient Fine-Tuning of Quantized LLMs via Three-Stage Optimization | OpenReview To address the memory consumption and computational efficiency issues in fine-tuning large language models (LLMs), Parameter-Efficient Fine-Tuning (PEFT) and... fine tuning three stage efficient quantized https://arxiv.org/abs/0806.0264 [0806.0264] The quantized walled Brauer algebra and mixed tensor space Abstract page for arXiv paper 0806.0264: The quantized walled Brauer algebra and mixed tensor space brauer algebra mixed tensor 0806 0264 quantized https://arxiv.org/abs/2203.07477v1 [2203.07477v1] Interaction of quantum systems with single pulses of quantized radiation Abstract page for arXiv paper 2203.07477v1: Interaction of quantum systems with single pulses of quantized radiation quantum systems 2203 interaction https://github.com/sony/sqvae GitHub - sony/sqvae: Pytorch implementation of stochastically quantized variational autoencoder... Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE) - sony/sqvae github sony pytorch implementation stochastically https://www.tensorflow.org/api_docs/python/tfc/ops/pmf_to_quantized_cdf?authuser=2 tfc.ops.pmf_to_quantized_cdf | TensorFlow v2.16.1 Converts a PMF into a quantized CDF for range coding. tfc ops pmf quantized cdf https://arxiv.org/abs/1512.09184v1 [1512.09184v1] Methods for Quantized Compressed Sensing Abstract page for arXiv paper 1512.09184v1: Methods for Quantized Compressed Sensing 1512 methods quantized compressed sensing https://openreview.net/forum?id=lD9Kc22Wls&referrer=%5Bthe%20profile%20of%20Ilia%20Markov%5D(%2Fprofile%3Fid%3D~Ilia_Markov1) Quantized Optimistic Dual Averaging with Adaptive Layer-wise Compression | OpenReview We develop a general layer-wise and adaptive compression framework with applications to solving variational inequality problems (VI) in a large-scale and... quantized optimistic dual averaging adaptive https://arxiv.org/abs/2406.07708?context=math [2406.07708] Degenerate twisted traces on quantized Kleinian singularities of type A Abstract page for arXiv paper 2406.07708: Degenerate twisted traces on quantized Kleinian singularities of type A https://www.tensorflow.org/versions/r2.10/api_docs/python/tf/compat/v1/nn/quantized_conv2d tf.compat.v1.nn.quantized_conv2d | TensorFlow v2.10.1 Computes a 2D convolution given quantized 4D input and filter tensors. tf compat v1 nn quantized https://huggingface.co/collections/mobiuslabsgmbh/llama2-hqq-quantized-models Llama2 HQQ Quantized Models - a mobiuslabsgmbh Collection LLama2 models quantized using https://github.com/mobiusml/hqq llama2 hqq quantized models collection https://www.osti.gov/etdeweb/biblio/10112723 On the general theory of quantized fields (Technical Report) | ETDEWEB the general theory technical report quantized fields etdeweb https://quantizedinertia.com/ Quantized Inertia quantized inertia https://www.wikidata.org/wiki/Q79323391 Continuous, quantized and modal variation - Wikidata scientific article published on 01 June 1960 continuous quantized modal variation wikidata https://www.databricks.com/blog/serving-quantized-llms-nvidia-h100-tensor-core-gpus Serving Quantized LLMs on NVIDIA H100 Tensor Core GPUs | Databricks Blog nvidia h100 tensor core gpus serving quantized llms https://www.nist.gov/publications/analytical-determination-atypical-quantized-resistances-graphene-p-n-junctions Analytical determination of atypical quantized resistances in graphene p-n junctions | NIST p n junctions https://www.tensorflow.org/versions/r2.15/api_docs/python/tf/quantization/quantized_concat?authuser=19 tf.quantization.quantized_concat | TensorFlow v2.15.0.post1 Concatenates quantized tensors along one dimension. 15 0 tf quantization quantized concat https://openreview.net/forum?id=dIjwC8A0N6&referrer=%5Bthe%20profile%20of%20Qingyi%20Gu%5D(%2Fprofile%3Fid%3D~Qingyi_Gu1) QFT: Quantized Full-parameter Tuning of LLMs with Affordable Resources | OpenReview Large Language Models (LLMs) have showcased remarkable impacts across a wide spectrum of natural language processing tasks. Fine-tuning these pre-trained... affordable resources qft quantized full parameter https://www.tableau.com/ko-kr/research/publications/online-semi-supervised-learning-quantized-graphs Online Semi-Supervised Learning on Quantized Graphs semi supervised learning online quantized graphs https://arxiv.org/abs/1206.6003 [1206.6003] Stabilizing Nonuniformly Quantized Compressed Sensing with Scalar Companders Abstract page for arXiv paper 1206.6003: Stabilizing Nonuniformly Quantized Compressed Sensing with Scalar Companders compressed sensing 1206 6003 stabilizing quantized https://www.tableau.com/nl-nl/research/publications/online-semi-supervised-learning-quantized-graphs Online Semi-Supervised Learning on Quantized Graphs semi supervised learning online quantized graphs https://deepai.org/publication/mutual-information-maximizing-quantized-belief-propagation-decoding-of-ldpc-codes Mutual Information-Maximizing Quantized Belief Propagation Decoding of LDPC Codes | DeepAI Apr 14, 2019 - 04/14/19 - A severe problem for mutual information-maximizing lookup table (MIM-LUT) decoding of low-density parity-check (LDPC) code is the ... mutual information belief propagation ldpc codes maximizing quantized https://arxiv.org/abs/0802.3964 [0802.3964] A generalization of adjoint crystals for the quantized affine algebras of type... https://www.itu.int/rec/T-REC-G.726-199411-I!AnnA/en G.726 : Extensions of Recommendation G.726 for use with uniform-quantized input and output https://arxiv.org/abs/2510.08757 [2510.08757] LOTION: Smoothing the Optimization Landscape for Quantized Training Abstract page for arXiv paper 2510.08757: LOTION: Smoothing the Optimization Landscape for Quantized Training 2510 08757 lotion smoothing optimization https://www.scirp.org/journal/paperinformation?paperid=33314 Confrontation between Quantized Periods of Some Extra-Solar Planetary Systems and Observations Discover a simple formula to estimate the orbital periods of solar system and extra-solar planets using quantum numbers. Compare observed and calculated... https://openreview.net/forum?id=OyHqrdWADY&referrer=%5Bthe%20profile%20of%20Adarsh%20Pyarelal%5D(%2Fprofile%3Fid%3D~Adarsh_Pyarelal1) Deep Reinforcement Learning with Vector Quantized Encoding | OpenReview Human decision-making often involves combining similar states into categories and reasoning at the level of the categories rather than the actual states.... deep reinforcement learning vector quantized encoding openreview https://arxiv.org/abs/2510.12369 [2510.12369] A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation... Abstract page for arXiv paper 2510.12369: A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning https://civitai.com/models/2169712/z-image-turbo-quantized-for-low-vram Z-Image Turbo - Quantized for low VRAM - svdq-int4_r256 | ZImage Checkpoint | Civitai Z-Image Turbo is a distilled version of Z-Image, a 6B image model based on the Lumina architecture, developed by the Tongyi Lab team at Alibaba Gro... z image turbo https://deepai.org/publication/towards-quantized-model-parallelism-for-graph-augmented-mlps-based-on-gradient-free-admm-framework Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM framework... May 20, 2021 - 05/20/21 - The Graph Augmented Multi-layer Perceptron (GA-MLP) model is an attractive alternative to Graph Neural Networks (GNNs). This is be... https://www.tableau.com/research/publications/online-semi-supervised-learning-quantized-graphs Online Semi-Supervised Learning on Quantized Graphs semi supervised learning online quantized graphs https://deepai.org/publication/quantized-neural-networks-training-neural-networks-with-low-precision-weights-and-activations Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations |... Sep 22, 2016 - 09/22/16 - We introduce a method to train Quantized Neural Networks (QNNs) --- neural networks with extremely low precision (e.g., 1-bit) wei... neural networks low precision quantized training weights https://www.cassiopeiastoe.com/ Quantized Space Blog | Cassiopeias ToE Cassiopeiastoe blog page. This is a new model that views the forces of the Standard Model as distortions of a Quantized Space in the same way that General... space blog quantized toe https://openreview.net/forum?id=HkNRsU5ge Sigma Delta Quantized Networks | OpenReview A deep neural network that saves computation on temporal data by using neurons that only communicate their changes in activation sigma delta quantized networks openreview https://arxiv.org/abs/chao-dyn/9502022 [chao-dyn/9502022] Quantized chaotic dynamics and non-commutative KS entropy Abstract page for arXiv paper chao-dyn/9502022: Quantized chaotic dynamics and non-commutative KS entropy chaotic dynamics non commutative quantized https://arxiv.org/abs/1801.05870 [1801.05870] Quantized Compressive Sensing with RIP Matrices: The Benefit of Dithering Abstract page for arXiv paper 1801.05870: Quantized Compressive Sensing with RIP Matrices: The Benefit of Dithering compressive sensing https://openreview.net/forum?id=QgYl2J2m4n FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation | OpenReview Finetuned large language models (LLMs) have shown remarkable performance in financial tasks, such as sentiment analysis and information retrieval. Due to... large language models https://www.tensorflow.org/versions/r2.2/api_docs/python/tf/compat/v1/nn/quantized_conv2d tf.compat.v1.nn.quantized_conv2d | TensorFlow v2.2.0 tf compat v1 nn quantized https://openreview.net/forum?id=C0A0otZL2a What Causes a Disparate Impact in a Quantized Model? | OpenReview Post Training Quantization (PTQ) is widely adopted due to its high compression capacity and speed with minimal impact on accuracy. However, we observed that... disparate impact causes quantized model openreview https://www.tableau.com/zh-tw/research/publications/online-semi-supervised-learning-quantized-graphs Online Semi-Supervised Learning on Quantized Graphs semi supervised learning online quantized graphs https://arxiv.org/abs/1911.07971v1 [1911.07971v1] vqSGD: Vector Quantized Stochastic Gradient Descent Abstract page for arXiv paper 1911.07971v1: vqSGD: Vector Quantized Stochastic Gradient Descent 1911 vector quantized stochastic gradient https://openreview.net/forum?id=0MwsJvPqyb Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for... Semiconductors, crucial to modern electronics, are generally under-researched in foundational models. It highlights the need for research to enhance the... mixture of experts https://arxiv.org/abs/2510.00028 [2510.00028] Rethinking RoPE Scaling in Quantized LLM: Theory, Outlier, and Channel-Band Analysis... Abstract page for arXiv paper 2510.00028: Rethinking RoPE Scaling in Quantized LLM: Theory, Outlier, and Channel-Band Analysis with Weight Rescaling https://deepai.org/publication/quantized-neural-network-inference-with-precision-batching Quantized Neural Network Inference with Precision Batching | DeepAI Feb 26, 2020 - 02/26/20 - We present PrecisionBatching, a quantized inference algorithm for speeding up neural network execution on traditional hardware pla... neural network quantized inference precision batching https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/compat/v1/nn/quantized_conv2d tf.compat.v1.nn.quantized_conv2d | TensorFlow v2.14.0 Computes a 2D convolution given quantized 4D input and filter tensors. tf compat v1 nn quantized https://openreview.net/forum?id=mlxRLIy7kc Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment | OpenReview Recent progress in scaling up large language models has shown impressive capabilities in performing few-shot learning across a wide range of natural language... text image language quantized autoencoders towards https://arxiv.org/html/2506.13738v1 Quantized local reduced-order modeling in time (ql-ROM) in time quantized local reduced order https://huggingface.co/collections/kaitchup/quantized-vibethinker-15b Quantized VibeThinker-1.5B - a kaitchup Collection Verified models. Tested with vLLM. quantized 1 5b collection https://openreview.net/forum?id=Yowoe1scJOD QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning |... We introduce a quantized and personalized FL algorithm QuPeD that facilitates collective (personalized model compression) training via knowledge distillation... quantized personalization via distillation applications https://sentence-transformers-quantized-retrieval.hf.space/ Quantized Retrieval Click to try out the app! quantized retrieval https://www.intel.com/content/www/us/en/developer/articles/technical/low-bit-quantized-open-llm-leaderboard.html Low-Bit Quantized Open LLM Leaderboard Introducing the low-precision quantized open LLM leaderboard, a new tool for finding high-quality models that can be deployed on a given client. low bit quantized open llm leaderboard https://openreview.net/forum?id=9cALtYoAEy Vector-Quantized Prompt Learning for Paraphrase Generation | OpenReview Deep generative modeling of natural languages has achieved many successes, such as producing fluent sentences and translating from one language into another.... learning for paraphrase generation vector quantized prompt https://www.nextbigfuture.com/tag/quantized-inertia quantized inertia | NextBigFuture.com quantized inertia https://deepai.org/publication/quantized-neural-networks-for-radar-interference-mitigation Quantized Neural Networks for Radar Interference Mitigation | DeepAI Nov 25, 2020 - 11/25/20 - Radar sensors are crucial for environment perception of driver assistance systems as well as autonomous vehicles. Key performance ... neural networks quantized radar interference mitigation https://arxiv.org/abs/cond-mat/9708002 [cond-mat/9708002] Quantized Conductance of One-Dimensional Doped Mott Insulator Abstract page for arXiv paper cond-mat/9708002: Quantized Conductance of One-Dimensional Doped Mott Insulator one dimensional cond mat quantized https://openreview.net/forum?id=fweY2v9xpfE&referrer=%5Bthe%20profile%20of%20Lingshun%20Kong%5D(%2Fprofile%3Fid%3D~Lingshun_Kong1) Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022... Image super-resolution is a common task on mobile and IoT devices, where one often needs to upscale and enhance low-resolution images and video frames. While... image super resolution https://arxiv.org/abs/1509.05243 [1509.05243] Self-organization of network dynamics into local quantized states Abstract page for arXiv paper 1509.05243: Self-organization of network dynamics into local quantized states organization of network 1509 05243 self https://arxiv.org/abs/0803.2725 [0803.2725] Arbitrary Coherent Superpositions of Quantized Vortices in Bose-Einstein Condensates... Abstract page for arXiv paper 0803.2725: Arbitrary Coherent Superpositions of Quantized Vortices in Bose-Einstein Condensates from Orbital Angular Momentum... https://www.itu.int/rec/T-REC-G.726-200505-I!Cor1/en G.726 : Correction to Annex A: Extensions of Recommendation G.726 for use with uniform-quantized... https://deepai.org/publication/reconsidering-linear-transmit-signal-processing-in-1-bit-quantized-multi-user-miso-systems Reconsidering Linear Transmit Signal Processing in 1-Bit Quantized Multi-User MISO Systems | DeepAI Feb 28, 2018 - 02/28/18 - In this contribution, we investigate a coarsely quantized Multi-User (MU)-Multiple Input Single Output (MISO) downlink communicati... https://www.tableau.com/fr-ca/research/publications/online-semi-supervised-learning-quantized-graphs Online Semi-Supervised Learning on Quantized Graphs semi supervised learning online quantized graphs https://openreview.net/forum?id=DKKg5EFAFr Evaluating Quantized Large Language Models | OpenReview Post-training quantization (PTQ) has emerged as a promising technique to reduce the cost of large language models (LLMs). Specifically, PTQ can effectively... large language models evaluating quantized openreview https://openreview.net/forum?id=Z2L5d9ay4B Image Compression with Product Quantized Masked Image Modeling | OpenReview Recent neural compression methods have been based on the popular hyperprior framework. It relies on Scalar Quantization and offers a very strong compression... image compression product quantized masked modeling https://research.google/blog/vector-quantized-image-modeling-with-improved-vqgan/ Vector-Quantized Image Modeling with Improved VQGAN Posted by Jiahui Yu, Senior Research Scientist, and Jing Yu Koh, Research Software Engineer, Google Research In recent years, natural language proc... vector quantized image modeling improved https://openreview.net/forum?id=Pnv8C0bU9t LoQT: Low-Rank Adapters for Quantized Pretraining | OpenReview Despite advances using low-rank adapters and quantization, pretraining of large models on consumer hardware has not been possible without model sharding,... low rank adapters quantized openreview https://deepai.org/publication/measuring-the-interpretability-of-unsupervised-representations-via-quantized-reverse-probing Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing |... Sep 7, 2022 - 09/07/22 - Self-supervised visual representation learning has recently attracted significant research interest. While a common way to evaluat... measuring interpretability unsupervised representations via https://huggingface.co/papers/2310.16836 Paper page - LLM-FP4: 4-Bit Floating-Point Quantized Transformers Join the discussion on this paper page 4 bit floating point paper llm fp4 https://www.saatchiart.com/art/Painting-Quantized-Timelines-6/705772/9298149/view Quantized Timelines, #6 Painting by Steven Martin | Saatchi Art Saatchi Art is pleased to offer the painting, "Quantized Timelines, #6," by Steven Martin. Original Painting: Acrylic on Canvas. Size is 54 H x 66 W x 0.1 in. steven martin quantized timelines 6 painting https://arxiv.org/abs/2307.16893 [2307.16893] A Quantized Interband Topological Index in Two-Dimensional Systems Abstract page for arXiv paper 2307.16893: A Quantized Interband Topological Index in Two-Dimensional Systems topological index two dimensional 2307 quantized https://arxiv.org/abs/1806.05621 [1806.05621] A Convex Hull Based Approach for MIMO Radar Waveform Design with Quantized Phases Abstract page for arXiv paper 1806.05621: A Convex Hull Based Approach for MIMO Radar Waveform Design with Quantized Phases https://openreview.net/forum?id=BJeWVpNtwr On the Pareto Efficiency of Quantized CNN | OpenReview Weight Quantization for deep convolutional neural networks (CNNs) has shown promising results in compressing and accelerating CNN-powered applications such as... on the pareto efficiency quantized cnn openreview