Convolutional Neural Network Compression

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70 papers

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  1. On the Interaction Between Model Compression and Test-Time Adaptation

    Sep 3, 2026Francesco Corti, Dong Wang, Young D. Kwon +2Test-Time AdaptationConvolutional Neural Network Compression

  2. A Mathematical Theory of Reusable Neural Bases for Network Compression

    Sep 1, 2026Binshuai Wang, Peng WeiConvolutional Neural Network CompressionRecurrent Neural Networks

  3. Functional Degeneracy in Neural Networks: Measurement and Pruning

    Aug 31, 2026Maria Matveev, Pascal Esser, Ayush Bharadwaj +2Convolutional Neural Network CompressionStructured Pruning

  4. RSLM: Training-Free Vector Quantization for Approximate Nearest Neighbor Search

    Aug 31, 2026Rastislav Lenhardt, Teodora Dobos, Thomas Vecchiato +2Approximate Nearest-Neighbor SearchCalibration-Free Low-Bit Vector Quantization

  5. TACTICL: Task-Aware Compression of Tabular ICL Models

    Aug 11, 2026Mykhailo Koshil, Matthias Feurer, Katharina EggenspergerTabular Foundation ModelsTabular Learning

  6. Low-Dimensional High-Leverage Subspace Optimization: Beyond Full-Parameter Coupled Training for Neural Network Quantization

    Aug 4, 2026Peng Xia, Junbiao Pang, Zheng HuangPost-Training QuantizationMixed-Precision Quantization

  7. Topological Simplification in Predictive Coding Networks

    Aug 3, 2026Adam Shaw, Jiayu Li, Michael Sperling +2Predictive CodingConvolutional Neural Network Compression

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

    Aug 1, 2026Sahil Rajesh DhayalkarConvolutional Neural Network CompressionArtificial Neural Networks

  9. SparseKAN: Compressing Kolmogorov--Arnold Networks Across Basis Functions, Neurons, and Bits

    Aug 1, 2026Kazi Ahmed Asif Fuad, Lizhong ChenKolmogorov-Arnold NetworksConvolutional Neural Network Compression

  10. Parameter-Efficient Fine-Tuning for Spiking Point Cloud Models

    Jul 31, 2026Zihao Guo, Jihua Zhu, Yiding Sun +2Spiking Neural NetworksNeuromorphic Hardware

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

    Jul 23, 2026Hossein Mobahi, Peter L. BartlettConvolutional Neural Network CompressionDeep Neural Network

  12. Multilevel Graph Wavelet Compressed Sensing with Scale-Aware Neural Recovery

    Jul 23, 2026Amirhossein Nouranizadeh, Sarang Rajendra Patil, Alan John Varghese +3Discrete Wavelet TransformSparse Observations

  13. MIS-HCC: Hierarchical Channel Clustering for Efficient Medical Image Segmentation

    Jul 19, 2026Bo Zhao, Haoran Yu, Lifei Liu +5Medical Image SegmentationConvolutional Neural Network Compression

  14. 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 AguiarConvolutional Neural Network CompressionAudio-Visual Reasoning

  15. Adaptive Model Compression (AMC): Saliency-Driven Resource Allocation for Ultra-Low-Power Transformer Inference

    Jul 11, 2026Jiayin Hu, Kai Yuan, Vanessa Hu +3Resource-Constrained DevicesConvolutional Neural Network Compression

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

    Jul 10, 2026Shuo Huai, Hao Kong, Shiqing Li +5Convolutional Neural Network CompressionInference Latency

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

    Jul 9, 2026David González-Martínez, Shiwei LiuLow-Rank FactorizationConvolutional Neural Network Compression

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

    Jul 8, 2026Hao Kong, Di Liu, Shuo Huai +5Convolutional Neural Network CompressionModel and Context Compression

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

    Jul 8, 2026Hao Kong, Di Liu, Shuo Huai +5Convolutional Neural Network CompressionImage Cropping

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

    Jul 5, 2026Anis Hamadouche, Amir HussainConvolutional Neural Network CompressionDeep Neural Network

  21. Efficient Compression of Structured and Unstructured Volumes via Learned 3D Gaussian Representation

    Jul 1, 2026Landon Dyken, Sharmistha Chakrabarti, Nathan Debardeleben +4Volume3D Gaussian

  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 ConduracheConvolutional Neural Network CompressionConvolutional Neural Networks

  23. Neural Texture Compression using Hypernetworks

    Jun 25, 2026Belcour LaurentConvolutional Neural Network CompressionLarge Language Model Decoding

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

    Jun 24, 2026Kamar Hibatallah Baghdadi, Kawther Guoual Belhamidi, Sara Belhadj +2Convolutional Neural Network CompressionDeep Q-Networks

  25. Field-level weak lensing cosmology with 60 simulations using multifidelity simulation-based inference

    Jun 22, 2026Alex A. Saoulis, Kiyam Lin, Niall Jeffrey +5CosmologyMulti-Fidelity

  26. Compression and Retrieval: Implicit Memory Retrieval for Video World Models

    Jun 22, 2026Zhan Peng, Jie Ma, Huiqiang Sun +6State-Of-The-Art Video World ModelsMotion Model

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

    Jun 22, 2026Minh-Loi Nguyen, Long-Bao Nguyen, Van-Hieu Huynh +2Convolutional Neural Network CompressionMixed-Precision Quantization

  28. Geometric and Information Compression of Representations in Deep Learning

    Jun 19, 2026Linara Adilova, Henning Petzka, Asja Fischer +1Information BottleneckMutual Information

  29. Context-Aware Markov VAE for CSI Compression in Wireless Systems

    Jun 15, 2026Efstathios Chatziloizos, Konstantinos Vandikas, Aneta Vulgarakis Feljan +2Channel State InformationConvolutional Neural Network Compression

  30. Quantifying the Impact of Lossy Compression on Neural Generative Surrogate Modeling

    Jun 14, 2026Zhimin Li, Harshitha Menon, Charles Jekel +2Convolutional Neural Network CompressionSurrogate Modeling

  31. Improved Knowledge Distillation for Land-Use Image Classification

    Jun 12, 2026Arundhuti Sur, Abhiroop Chatterjee, Susmita Ghosh +1Heterogeneous Knowledge DistillationNormalized Difference Vegetation Index

  32. Compressed Computation is (probably) not Computation in Superposition

    Jun 12, 2026Jai Bhagat, Sara Molas-Medina, Giorgi Giglemiani +1SuperpositionConvolutional Neural Network Compression

  33. Can Deep Neural Networks Improve Compression of Very Large Scientific Data?

    Jun 12, 2026Muhannad Alhumaidi, Guozhong Li, Spiros Skiadopoulos +1Convolutional Neural Network CompressionModel and Context Compression

  34. REACH: Interpretability-Driven Feature Identification and Architecture Compression for Multi-Channel Vehicular Channel Estimation

    Jun 10, 2026Simbarashe Aldrin Ngorima, Albert Helberg, Marelie H. DavelChannel EstimationConvolutional Neural Network Compression

  35. Sigma-Branch: Hierarchical Single-Path Network Reconstruction for Dynamic Inference with Reduced Active Parameters

    Jun 7, 2026Kohga Tanaka, Hiroaki NishiConvolutional Neural Network CompressionGraph Neural Network Inference

  36. The Bioelectrical Information Theory: Investigating the theoretical compression limit of bioelectrical signals under artificial intelligence

    Jun 7, 2026Jiawen Zou, Bo YanBrain-Computer InterfaceNeural Recordings

  37. Beyond Single Solution: Multi-Hypothesis Collaborative Deep Unfolding Network for Image Compressive Sensing

    Jun 2, 2026Wenxue Cui, Hualin Li, Yuhang Qin +3Deep Unfolding NetworksSparse Observations

  38. Neural Network Compression by Approximate Differential Equivalence

    May 31, 2026Ravi Dhiman, Andrea Passarella, Mirco Tribastone +1Convolutional Neural Network CompressionMagnitude-Based Pruning

  39. Automatically Differentiable Nonlinear Tensor Networks (ADNTNs) for Exponential Parameter Compression of Deep Neural Networks

    May 28, 2026Andrzej Cichocki, Michal WietczakTensor NetworksConvolutional Neural Network Compression

  40. MIC: Maximizing Informational Capacity in Adaptive Representations via Isotropic Subspace Alignment

    May 28, 2026Dang Nguyen Hong, Nhi Ngoc-Yen Nguyen, Huy-Hieu PhamHyperspherical Embedding GeometryConvolutional Neural Network Compression

  41. Scale When Needed: Adaptive Neuron-level Mixed Precision Quantization Aware Training

    May 24, 2026Ayush K. Varshney, Konstantinos Vandikas, Šarūnas Girdzijauskas +2Mixed-Precision QuantizationLightweight Convolutional Neural Network Hardware Accelerator

  42. Motion-Compensated Weight Compression

    May 23, 2026Ismail LamaakalConvolutional Neural Network CompressionModel Weights

  43. FTerViT: Fully Ternary Vision Transformer

    May 20, 2026Szymon Ruciński, Pietro Bonazzi, Engin Türetken +3Self-Supervised Vision TransformersVision Transformer

  44. Fast Tensorization of Neural Networks via Slice-wise Feature Distillation

    May 19, 2026Safa Hamreras, Sukhbinder Singh, Román OrúsConvolutional Neural Network CompressionTensor

  45. Quantized Machine Learning Models for Medical Imaging in Low-Resource Healthcare Settings

    May 19, 2026Sumanth Meenan Kanneti, Aryan ShahBrain Tumor ClassificationConvolutional Neural Network Compression

  46. Two-Valued Symmetric Circulant Matrices: Applications in Deep Learning

    May 15, 2026Jayakrishna Amathi, Venkata Prasanth Yanambaka, Saraju P. Mohanty +1Convolutional Neural Network CompressionMatrix Multiplication

  47. Nonlinear Bipolar Compensation: Handling Outliers in Post-Training Quantization

    May 14, 2026Peilin Sun, Jianxin WuPost-Training QuantizationConvolutional Neural Network Compression

  48. Spectral structural distortion reveals redundant neurons in neural networks

    May 14, 2026Yongyu WangConvolutional Neural Network CompressionRedundancy

  49. Robust Basis Spline Decoupling for the Compression of Transformer Models

    May 11, 2026Joppe De Jonghe, Van Tien Pham, Mariya IshtevaConvolutional Neural Network CompressionLow-Rank Tensor Decomposition

  50. XTinyU-Net: Training-Free U-Net Scaling via Initialization-Time Sensitivity

    May 10, 2026Alvin Kimbowa, Moein Heidari, David Liu +1U-NetConvolutional Neural Network Compression

  51. DiBA: Diagonal and Binary Matrix Approximation for Neural Network Weight Compression

    May 7, 2026Nobutaka OnoConvolutional Neural Network CompressionModel Weights

  52. Capabilities of Auto-encoders and Principal Component Analysis of the Reduction of Microstructural Images; Application on the Acceleration of Phase-Field Simulations

    May 5, 2026Seifallah Fetni, Thinh Quy Duc Pham, Truong Vinh Hoang +4AutoencoderPorous Media

  53. Benchmarking Wireless Representations: High-Dimensional vs. Compressed Embeddings for Efficiency and Robustness

    May 3, 2026Murilo Batista, Shirin Salehi, Saeed Mashdour +3Wireless NetworksConvolutional Neural Network Compression

  54. Auto-FlexSwitch: Efficient Dynamic Model Merging via Learnable Task Vector Compression

    Apr 30, 2026Junqi Gao, Dazhi Zhang, Zhichang Guo +3Continual Model MergingConvolutional Neural Network Compression

  55. QYOLO: Lightweight Object Detection via Quantum Inspired Shared Channel Mixing

    Apr 29, 2026Garvit Kumar Mittal, Sahil Tomar, Sandeep KumarYolo26Mixed-Precision Quantization

  56. Hierarchical Spatio-Channel Clustering for Efficient Model Compression in Medical Image Analysis

    Apr 25, 2026Sisipho Hamlomo, Marcellin Atemkeng, Habte Tadesse Likassa +5Convolutional Neural Network CompressionBrain Tumor Classification

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

    Apr 25, 2026Terry Gou, Puneet GuptaCalibration-Free Low-Bit Vector QuantizationConvolutional Neural Network Compression

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

    Apr 22, 2026Akira TamamoriHopfield NetworksAssociative Memory

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

    Apr 19, 2026Marcin PietrońLow-Bit QuantizationQuantization Effects

  60. Leveraging Kernel Symmetry for Joint Compression and Error Mitigation in Edge Model Transfer

    Apr 19, 2026Anis Hamadouche, Mathini SellathuraiConvolutional Neural Network CompressionNeural Codecs