Neural Network Compression

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13 papers in the last four weeks, level with the four weeks before. 0.1% of all new papers.

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  1. Gram-Space: Structure-Preserving Codebook Compression for Memory-Efficient Neuro-Symbolic AI

    Aug 2, 2026Weilun Wang, Wantong LiMemory-Efficient InferenceVector Symbolic Architectures

    University of California, Riverside

  2. Kilobyte Models: Neural Networks as a Seed and a Quantized Latent

    Aug 1, 2026Sahil Rajesh DhayalkarNeural Network Compression

    Arizona State University

  3. Simplifying Neural Networks During Training

    Jul 30, 2026Lorenzo Sciandra, Samuele Fonio, Roberto EspositoNeural Network Training DynamicsNeural Network Compression

    Department of Computer Science, University of Turin, Turin, Italy

  4. SPRKD: Effective Knowledge Distillation for Deep Neural Networks via Saddle Region Approximation

    Jul 25, 2026Aditya Dewan, Arjun Yogeswaran, Benjamin FedorukKnowledge DistillationNeural Network Compression

    Carnegie Mellon University · Ontario Tech University

  5. Neural Network-Driven Volatility Drag Mitigation under Aggressive Leverage

    Jul 25, 2026Christian Bongiorno, Efstratios Manolakis, Rosario Nunzio MantegnaPortfolio OptimizationNeural Network Compression

    Université Paris-Saclay, CentraleSupélec, Mathématiques et Informatique pour la Complexité et les Systèmes, 91190, Gif-sur-Yvette, France · Dipartimento di Fisica e Astronomia “Ettore Majorana” Catania, Italy · Dipartimento di Fisica e Chimica Palermo, Italy +1

  6. Hilbert Operator for Progressive Encoding (HOPE): A Mathematical Framework for Deconstructing Learned Representations in Deep Networks

    Jul 23, 2026Hossein Mobahi, Peter L. BartlettNeural Network CompressionNeural Network Pruning

    Google DeepMind · University of California, Berkeley

  7. Neural Feature Governance: Extending Atom Prevalence

    Jul 23, 2026Idris Karel Seunda Ekwe, Patrick Tenga Shako, Ernest Parfait FokouéBayesian Neural NetworksUncertainty Quantification

    African Institute for Mathematical Sciences (AIMS), Cameroon · Rochester Institute of Technology (RIT), US

  8. Importance-Aware OBS Pruning for Diffusion Models

    Jul 22, 2026Ba-Thinh Lam, Srijan Das, Hieu LeNeural Network CompressionNeural Network Pruning

    Department of Computer Science UNC Charlotte NC, USA

  9. ECoNGS: Efficient Compressive Neural Gaussian Splats for Volume Visualization

    Jul 20, 2026Kaiyuan Tang, Chaoli Wang3DGS CompressionScientific Visualization

    Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN 46556, USA

  10. Efficient Audio-Visual Event Recognition via Knowledge Distillation and Dynamic INT8 Quantization of a Hybrid Cross-Attention Network

    Jul 18, 2026Parinaz Binandeh Dehaghani, Danilo Pena, A. Pedro AguiarAudio-Visual UnderstandingNeural Network Compression

    University of Porto, Porto, Portugal · ResoSight, Montreal, Canada

  11. GB-SVFBP: Gaussian-Based Shift-Variant FBP neural network

    Jul 13, 2026Chengze Ye, Linda-Sophie Schneider, Yipeng Sun +1Cone-Beam CTImage Reconstruction

    Pattern Recognition Lab, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany

  12. CARE-LoRA: Compressed Activation REconstruction for Memory-Efficient LoRA

    Jul 11, 2026Gengyu Zhang, Haiyin Ran, Zhengbao He +4Fine-TuningMemory-Efficient Fine-Tuning

    Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200240, China

  13. EvoLP: Self-Evolving Latency Predictor for Model Compression in Real-Time Edge Systems

    Jul 10, 2026Shuo Huai, Hao Kong, Shiqing Li +5Efficient Neural Network InferenceEdge Computing

    School of Computer Science and Engineering, Nanyang Technological University, Singapore · HP-NTU Digital Manufacturing Corporate Lab, Nanyang Technological University, Singapore · HP Inc., Palo Alto, California, USA

  14. SLORR: Simple and Efficient In-Training Low-Rank Regularization

    Jul 9, 2026David González-Martínez, Shiwei LiuLLM CompressionLow-Rank Matrix Decomposition

    Max Planck Institute for Intelligent Systems · University of Tübingen · ELLIS Institute Tübingen +1

  15. It Takes Few to TANGO: A Quantized Distributed Model for Binaural Speech Enhancement

    Jul 9, 2026Zahra Benslimane, Pierre Chouteau, Martyna Poreba +4Quantization-Aware TrainingSpeech Enhancement

    Université Paris-Saclay, CEA, List, F-91120 Palaiseau, France · Université de Lorraine, CNRS, Inria, LORIA, F-54000 Nancy, France

  16. EdgeCompress: Coupling Multidimensional Model Compression and Dynamic Inference for EdgeAI

    Jul 8, 2026Hao Kong, Di Liu, Shuo Huai +5Edge InferenceConvolutional Neural Networks

    School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore · HP-NTU Digital Manufacturing Corporate Lab, Nanyang Technological University (NTU), Singapore · Department of Computer Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway +1

  17. Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware

    Jul 8, 2026Hao Kong, Di Liu, Shuo Huai +5Efficient Neural Network InferenceEdge Inference

    School of Computer Science and Engineering, Nanyang Technological University, Singapore · HP-NTU Digital Manufacturing Corporate Lab, Nanyang Technological University, Singapore · HP Inc., Palo Alto, California, USA

  18. Enhancing deep learning models for time series classification via knowledge distillation

    Jul 7, 2026Javidan Abdullayev, Maxime Devanne, Jonathan Weber +1Time Series ClassificationKnowledge Distillation

    IRIMAS, University of Haute Alsace, Frères Lumière, Mulhouse 68200, France · Faculty of IT, Monash University, Wellington Road, Melbourne 3800, Australia

  19. Empirical Minimal-Realisation Compression of Deep Neural Networks via Controllability-Observability Tests

    Jul 5, 2026Anis Hamadouche, Amir HussainReduced-Order ModelingNeural Network Compression

    The School of Engineering & Physical Sciences Heriot-Watt University Edinburgh EH14 4AS, UK · SDAIA-KFUPM Joint Research Centre for Artificial Intelligence King Fahd University of Petroleum and Minerals Dhahran, Saudi Arabia

  20. Expander Sparse Autoencoders: Parameter-Efficient Dictionaries for Mechanistic Interpretability

    Jul 2, 2026Rodrigo Mendoza-SmithSparse RecoveryActivation Sparsity

    Independent Researcher.

  21. Vitality-Aware Compression for Efficient Image-to-Shape Diffusion Transformers

    Jul 1, 2026Jaeah Lee, Hyunjin Kim, Jaewoong Cho +1Model CompressionDiffusion Transformer

    KRAFTON AI, Republic of Korea · Amazon, Australia

  22. HASTE: A Framework for Training-Free, Dynamic, and Steerable Compression of Pre-Trained Convolutional Neural Networks

    Jun 29, 2026Lukas Meiner, Jens Mehnert, Alexandru Paul ConduracheEfficient Neural Network InferenceConvolutional Neural Networks

    Robert Bosch GmbH, Leonberg, Germany. · Universität zu Lübeck, Lübeck, Germany.

  23. DTM-Codec: Dynamic Token Masking for VFR Speech Coding with Efficient Boundary Selection

    Jun 28, 2026Hoyeol Sohn, Juhan NamNeural Audio CodecsNeural Network Compression

    Graduate School of Cultural Technology, KAIST, South Korea

  24. Elastic Time: Dynamic Frame Rate Bottlenecks for Neural Audio Coding

    Jun 25, 2026Dimitrios Bralios, Paris Smaragdis, Minje KimNeural Audio CodecsAutoencoders

    University of Illinois Urbana-Champaign, Urbana, IL, USA · Massachusetts Institute of Technology, Cambridge, MA, USA

  25. Neural Texture Compression using Hypernetworks

    Jun 25, 2026Belcour LaurentLearned Image CompressionHypernetworks

    Intel Corporation

  26. Hierarchical Reinforcement Learning for Neural Network Compression (HiReLC): Pruning and Quantization

    Jun 24, 2026Kamar Hibatallah Baghdadi, Kawther Guoual Belhamidi, Sara Belhadj +2Hierarchical RLNeural Network Quantization

    aNational School of Artificial Intelligence (ENSIA), Sidi Abdellah Campus, Algiers, Algeria · bCosys-Grettia, Univ Gustave Eiffel, F-77454 Marne-la-Vallee, France. · aNational School of Artificial Intelligence (ENSIA), Sidi Abdellah

  27. Hybrid Compression: Integrating Pruning and Quantization for Optimized Neural Networks

    Jun 22, 2026Minh-Loi Nguyen, Long-Bao Nguyen, Van-Hieu Huynh +2Model CompressionEfficient Neural Network Inference

    University of Science, Ho Chi Minh city, Vietnam · Vietnam National University, Ho Chi Minh city, Vietnam

  28. Activation- and Influence-Aware Ranks (AIR): Function-Preserving SVD Compression for LLMs

    Jun 18, 2026Nico Harder, Daniel Becking, Karsten Mueller +1LLM CompressionLow-Rank Matrix Decomposition

    Fraunhofer HHI, Berlin, Germany

  29. Operator Boosting Produces Pareto-Efficient PDE Surrogates

    Jun 16, 2026Lennon J. ShikhmanPDE Surrogate ModelingDeep Operator Networks

    Georgia Institute of Technology College of Computing Atlanta, Georgia, USA

  30. From Compression to Deployment: Real-Time and Energy-Efficient FastGRNN on Ultra-Constrained Microcontrollers

    Jun 15, 2026Emre Can KizilatesEfficient Neural Network InferenceRecurrent Neural Networks

    Independent Researcher, Izmir, Turkey