Neural Network Quantization

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57 papers in the last four weeks, up 54% on the four weeks before. 0.4% of all new papers.

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  1. Multibit neural inference in a N-ary crossbar architecture

    Apr 28, 2026Anatole Moureaux, Anthony Lopes Temporao, Flavio Abreu AraujoEfficient Neural Network InferenceCompute-in-Memory

    Universit´e catholique de Louvain, Institute of Condensed Matter and Nanosciences, Louvain-la-Neuve, 1348, Belgium

  2. QFlash: Bridging Quantization and Memory Efficiency in Vision Transformer Attention

    Apr 28, 2026Sehyeon Oh, Yongin Kwon, Jemin LeeSoftmax AttentionGPU Acceleration

    University of Science and Technology, Daejeon, Republic of Korea · Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea · Pusan National University, Busan, Republic of Korea +1

  3. Deployment-Aligned Low-Precision Neural Architecture Search for Spaceborne Edge AI

    Apr 27, 2026Parampuneet Kaur Thind, Vaibhav Katturu, Giacomo Zema +1Edge ComputingHardware-Aware NAS

    1Sapienza University of Rome · 2 Φ-lab, ESA ESRIN · 4Argotec Srl +1

  4. Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning with Adaptive Quantization and Differential Privacy

    Apr 25, 2026Emre Ardıç, Yakup GençNon-IID Federated LearningDifferentially Private Federated Learning

    Department of Computer Engineering, Gebze Technical University, Gebze, Kocaeli 41400, Türkiye

  5. Efficient VQ-QAT and Mixed Vector/Linear quantized Neural Networks

    Apr 25, 2026Terry Gou, Puneet GuptaQuantization-Aware TrainingVector Quantization

  6. HGQ-LUT: Fast LUT-Aware Training and Efficient Architectures for DNN Inference

    Apr 24, 2026Chang Sun, Zhiqiang Que, Bakhtiar Zadeh +4Efficient Neural Network InferenceFPGA-Based Neural Network Acceleration

    California Institute of Technology, Pasadena, CA, USA · University of Bristol, UK · Imperial College London, UK +1

  7. FASQ: Flexible Accelerated Subspace Quantization for Calibration-Free LLM Compression

    Apr 22, 2026Ye Qiao, Yian Wang, Zhiheng Chen +2LLM CompressionGPU Acceleration

    University of California, Irvine Irvine, California, USA

  8. Quantization robustness from dense representations of sparse functions in high-capacity kernel associative memory

    Apr 22, 2026Akira TamamoriNeural Representation GeometryHopfield Networks

    Faculty of Information Science, Aichi Institute of Technology 1247 Yachigusa, Yakusa-cho, Toyota-shi, Aichi 470-0392, Japan

  9. FairyFuse: Multiplication-Free LLM Inference on CPUs via Fused Ternary Kernels

    Apr 22, 2026Fei Zuo, Xiaoyan Xi, Quanyi Zeng +2Efficient Neural Network InferenceTernary Quantization

    BA TechWorks · Peking University

  10. On the Quantization Robustness of Diffusion Language Models in Coding Benchmarks

    Apr 22, 2026Aarav Gupta, Gururaj Deshpande, Chandreyi ChakrabortyMixed-Precision QuantizationDiffusion Model Quantization

    College of Computing · Georgia Institute of Technology

  11. From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization

    Apr 21, 2026Chenxi Zhou, Pengfei Cao, Jiang Li +4LLM QuantizationPost-Training Quantization

    School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences · The Key Laboratory of Cognition and Decision Intelligence for Complex Systems, Institute of Automation, Chinese Academy of Sciences · College of Computer Science, Inner Mongolia University +1

  12. SAW-INT4: System-Aware 4-Bit KV-Cache Quantization for Real-World LLM Serving

    Apr 21, 2026Jinda Jia, Jisen Li, Zhongzhu Zhou +8LLM ServingKV Caching

    Together AI

  13. GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling

    Apr 20, 2026Alireza Dadgarnia, Soroush Tabesh, Mahdi Nikdan +4LLM QuantizationPost-Training Quantization

    ISTA · ETH Zürich · ISTA & Red Hat AI +1

  14. A Note on TurboQuant and the Earlier DRIVE/EDEN Line of Work

    Apr 20, 2026Ran Ben-Basat, Yaniv Ben-Itzhak, Gal Mendelson +3Residual VQVector Quantization

    UCL and Broadcom · VMware Research by Broadcom · North Carolina State University +2

  15. LoRaQ: Optimized Low Rank Approximation for 4-bit Quantization

    Apr 20, 2026Yann Bouquet, Alireza Khodamoradi, Sophie Yáng Shen +2Mixed-Precision QuantizationDiffusion Transformer

    Research and Advancement Development Team, Advanced Micro Devices, Inc, USA · Computer Vision Laboratory, Ecole Polytechnique F´ed´erale de Lausanne, Lausanne, Switzerland.

  16. DuQuant++: Fine-grained Rotation Enhances Microscaling FP4 Quantization

    Apr 20, 2026Haokun Lin, Xinle Jia, Haobo Xu +7LLM Quantization4-Bit Quantization

    CASIA · CityU · NJU +3

  17. Evolutionary fine tuning of quantized convolution-based deep learning models

    Apr 19, 2026Marcin PietrońFine-TuningConvolutional Neural Networks

    AGH University Kraków, Poland

  18. When Flat Minima Fail: Characterizing INT4 Quantization Collapse After FP32 Convergence

    Apr 16, 2026Marcus ArmstrongLLM Quantization4-Bit Quantization

    Department of Computer Science University of Houston Houston, TX 77004

  19. A Comparative Study of CNN Optimization Methods for Edge AI: Exploring the Role of Early Exits

    Apr 16, 2026Nekane Fernandez, Ivan Valdes, Steven Van Vaerenbergh +2Efficient InferenceEdge Inference

    Nekane Fernandez, Ivan Valdes, Idoia de la Iglesia and Julen Arratibel are with the Dept. of Connected and Distributed Intelligence, Ikerlan Technology Research Centre, Arrasate, Spain · Nekane Fernandez and Steven Van Vaerenbergh are with the Dept. of Mathematics, Statistics and Computation, Universidad de Cantabria, Santander, Spain

  20. Robust Ultra Low-Bit Post-Training Quantization via Stable Diagonal Curvature Estimate

    Apr 15, 2026Jaemin Kim, Sungkyun Kim, Junyeol Lee +1LLM QuantizationLanguage Model Calibration

    Seoul National University · Hanyang University

  21. From Arithmetic to Logic: The Resilience of Logic and Lookup-Based Neural Networks Under Parameter Bit-Flips

    Mar 24, 2026Alan T. L. Bacellar, Sathvik Chemudupati, Shashank Nag +4Neural Network RobustnessNeural Network Quantization

    The University of Texas at Austin · Federal University of Rio de Janeiro · Instituto de Telecomunicações, Porto, Portugal

  22. Q-Drift: Quantization-Aware Drift Correction for Diffusion Model Sampling

    Mar 18, 2026Sooyoung Ryu, Mathieu Salzmann, Saqib JavedDiffusion Model QuantizationDiffusion Model Sampling

    Department of Computer Science and Engineering, Seoul National University, Seoul, South Korea · School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland · Meta Reality Labs, Redmond, USA

  23. DyQ-VLA: Temporal-Dynamic-Aware Quantization for Embodied Vision-Language-Action Models

    Mar 9, 2026Zihao Zheng, Hangyu Cao, Chibang Tao +9VLM QuantizationEfficient VLA Model Inference

    School of Computer Science, Peking University, Beijing, China. · School of Software Engineering, South China University of Technology, Guangzhou, China. · School of Artificial Intelligence, Beijing Normal University, Beijing, China. +1

  24. Dissecting Quantization Error: A Concentration-Alignment Perspective

    Mar 4, 2026Marco Federici, Boris van Breugel, Paul Whatmough +1LLM Quantization4-Bit Quantization

    Qualcomm AI Research

  25. Bitwise Systolic Array Architecture for Runtime-Reconfigurable Multi-precision Quantized Multiplication on Hardware Accelerators

    Feb 26, 2026Yuhao Liu, Salim Ullah, Akash KumarMixed-Precision QuantizationFPGA-Based Neural Network Acceleration

    Dresden University of Technology, Germany · Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI Dresden/Leipzig), Germany · Ruhr University Bochum, Germany

  26. DynamiQ: Accelerating Gradient Synchronization using Compressed Multi-hop All-reduce

    Feb 9, 2026Wenchen Han, Shay Vargaftik, Michael Mitzenmacher +1Communication-Efficient Distributed TrainingHigh-Performance Computing

    University College London · VMware Research by Broadcom · Harvard University +1

  27. Investigating Social Bias Changes in Quantized Language Models

    Feb 5, 2026Stanley Z. Hua, Sanae Lotfi, Irene Y. ChenLLM QuantizationSocial Bias in Language Models

    UC Berkeley & UCSF · Meta Superintelligence Labs

  28. MatGPTQ: Efficient and Accurate Inference over Nested Quantized Models

    Feb 3, 2026Maximilian Kleinegger, Elvir Crnčević, Dan AlistarhLLM QuantizationLLM Inference Acceleration

    1Vienna University of Technology, Vienna, Austria · Institute of Science & Technology Austria (ISTA), Vienna, Austria · 3Red Hat AI, Boston, USA

  29. Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection

    Jan 17, 2026Muhammad Alif Al Hakim, Alfan Farizki Wicaksono, Fajri KotoLLM QuantizationMultilingual Language Model Evaluation

    Faculty of Computer Science, Universitas Indonesia · Mohamed bin Zayed University of Artificial Intelligence

  30. ARCQuant: Boosting NVFP4 Quantization with Augmented Residual Channels for LLMs

    Jan 12, 2026Haoqian Meng, Yilun Luo, Yafei Zhao +3LLM Quantization4-Bit Quantization

    School of Computer Science and Technology, Tianjin University