Browse State-of-the-Art › Model Compression › Papers, page 11
Model Compression
Papers archive 2025-07-28
archive papers tagged: 1,356 · with a code link: 440 · where Syntology ran a sample: 119 (97 with a run with no instrument failure, 22 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (119 of 1,356 tagged: 97 with a run with no instrument failure, 22 where every run was a failure of Syntology's instrument)
Page 11 of 14: papers 1,001 to 1,100 of 1,356, in archive order: by repositories listed in the archive (most first), then newest first, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers that list no repository come after every paper that lists one.
Papers without a page here are shown as plain text. A Syntology line reads “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code); hover it for the repositories the samples that ran came from. Abstracts are on each paper's page.
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Lipschitz Continuity Guided Knowledge Distillation29 Aug 2021 0 repositories listed
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DKM: Differentiable K-Means Clustering Layer for Neural Network Compression28 Aug 2021 0 repositories listed
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YANMTT: Yet Another Neural Machine Translation Toolkit25 Aug 2021 0 repositories listed
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Small Object Detection Based on Modified FSSD and Model Compression24 Aug 2021 0 repositories listed
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Scaling Laws for Deep Learning17 Aug 2021 0 repositories listed
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Preventing Catastrophic Forgetting and Distribution Mismatch in Knowledge Distillation via Synthetic Data11 Aug 2021 0 repositories listed
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Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000× Compression and 3.1× Faster Inference4 Aug 2021 0 repositories listed
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Learning a Neural Diff for Speech Models3 Aug 2021 0 repositories listed
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QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning29 Jul 2021 0 repositories listed
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Towards Efficient Tensor Decomposition-Based DNN Model Compression with Optimization Framework26 Jul 2021 0 repositories listed
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Pruning Ternary Quantization23 Jul 2021 0 repositories listed
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A New Clustering-Based Technique for the Acceleration of Deep Convolutional Networks19 Jul 2021 0 repositories listed
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Accelerating deep neural networks for efficient scene understanding in automotive cyber-physical systems19 Jul 2021 0 repositories listed
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Federated Action Recognition on Heterogeneous Embedded Devices18 Jul 2021 0 repositories listed
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Efficient automated U-Net based tree crown delineation using UAV multi-spectral imagery on embedded devices16 Jul 2021 0 repositories listed
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WeClick: Weakly-Supervised Video Semantic Segmentation with Click Annotations7 Jul 2021 0 repositories listed
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A Light-weight Deep Human Activity Recognition Algorithm Using Multi-knowledge Distillation6 Jul 2021 0 repositories listed
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Investigation of Practical Aspects of Single Channel Speech Separation for ASR5 Jul 2021 0 repositories listed
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A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification3 Jul 2021 0 repositories listed
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Scalable Teacher Forcing Network for Semi-Supervised Large Scale Data Streams26 Jun 2021 0 repositories listed
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PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation25 Jun 2021 0 repositories listed
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Data-Free Knowledge Distillation for Image Super-Resolution19 Jun 2021 0 repositories listed
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Minimally Invasive Surgery for Sparse Neural Networks in Contrastive Manner19 Jun 2021 0 repositories listed
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Masked Training of Neural Networks with Partial Gradients16 Jun 2021 0 repositories listed
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Topology Distillation for Recommender System16 Jun 2021 0 repositories listed
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Energy-efficient Knowledge Distillation for Spiking Neural Networks14 Jun 2021 0 repositories listed
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Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient13 Jun 2021 0 repositories listed
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FedNILM: Applying Federated Learning to NILM Applications at the Edge7 Jun 2021 0 repositories listed
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Feature Flow Regularization: Improving Structured Sparsity in Deep Neural Networks5 Jun 2021 0 repositories listed
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FedNL: Making Newton-Type Methods Applicable to Federated Learning5 Jun 2021 0 repositories listed
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Energy-Efficient Model Compression and Splitting for Collaborative Inference Over Time-Varying Channels2 Jun 2021 0 repositories listed
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One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers2 Jun 2021 0 repositories listed
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On Attention Redundancy: A Comprehensive Study1 Jun 2021 0 repositories listed
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NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search30 May 2021 0 repositories listed
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Towards Efficient Full 8-bit Integer DNN Online Training on Resource-limited Devices without Batch Normalization27 May 2021 0 repositories listed
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Differentiable Sparsification for Deep Neural Networks21 May 2021 0 repositories listed
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Model Compression20 May 2021 0 repositories listed
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How to Explain Neural Networks: an Approximation Perspective17 May 2021 0 repositories listed
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3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization, and Ultra-Low Latency Acceleration11 May 2021 0 repositories listed
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Test-Time Adaptation Toward Personalized Speech Enhancement: Zero-Shot Learning with Knowledge Distillation8 May 2021 0 repositories listed
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Neural 3D Scene Compression via Model Compression7 May 2021 0 repositories listed
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Modulating Regularization Frequency for Efficient Compression-Aware Model Training5 May 2021 0 repositories listed
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Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression5 May 2021 0 repositories listed
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Knowledge Distillation for Swedish NER models: A Search for Performance and Efficiency1 May 2021 0 repositories listed
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On the Adversarial Robustness of Quantized Neural Networks1 May 2021 0 repositories listed
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Spirit Distillation: A Model Compression Method with Multi-domain Knowledge Transfer29 Apr 2021 0 repositories listed
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Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks26 Apr 2021 0 repositories listed
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Compact CNN Structure Learning by Knowledge Distillation19 Apr 2021 0 repositories listed
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Dual Discriminator Adversarial Distillation for Data-free Model Compression12 Apr 2021 0 repositories listed
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Reversible Watermarking in Deep Convolutional Neural Networks for Integrity Authentication9 Apr 2021 0 repositories listed
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Efficient Personalized Speech Enhancement through Self-Supervised Learning5 Apr 2021 0 repositories listed
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Tight Compression: Compressing CNN Through Fine-Grained Pruning and Weight Permutation for Efficient Implementation3 Apr 2021 0 repositories listed
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Shrinking Bigfoot: Reducing wav2vec 2.0 footprint29 Mar 2021 0 repositories listed
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Prototype-based Personalized Pruning25 Mar 2021 0 repositories listed
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Compacting Deep Neural Networks for Internet of Things: Methods and Applications20 Mar 2021 0 repositories listed
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MWQ: Multiscale Wavelet Quantized Neural Networks9 Mar 2021 0 repositories listed
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Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations3 Mar 2021 0 repositories listed
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PURSUhInT: In Search of Informative Hint Points Based on Layer Clustering for Knowledge Distillation26 Feb 2021 0 repositories listed
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Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?19 Feb 2021 0 repositories listed
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Neural Network Compression for Noisy Storage Devices15 Feb 2021 0 repositories listed
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Robustness in Compressed Neural Networks for Object Detection10 Feb 2021 0 repositories listed
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It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation2 Feb 2021 0 repositories listed
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AACP: Model Compression by Accurate and Automatic Channel Pruning31 Jan 2021 0 repositories listed
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Deep Model Compression based on the Training History30 Jan 2021 0 repositories listed
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AdaSpring: Context-adaptive and Runtime-evolutionary Deep Model Compression for Mobile Applications28 Jan 2021 0 repositories listed
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Differential Privacy Meets Federated Learning under Communication Constraints28 Jan 2021 0 repositories listed
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Collaborative Teacher-Student Learning via Multiple Knowledge Transfer21 Jan 2021 0 repositories listed
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Deep Compression of Neural Networks for Fault Detection on Tennessee Eastman Chemical Processes18 Jan 2021 0 repositories listed
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Single-path Bit Sharing for Automatic Loss-aware Model Compression13 Jan 2021 0 repositories listed
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Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks12 Jan 2021 0 repositories listed
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Adversarially Robust and Explainable Model Compression with On-Device Personalization for Text Classification10 Jan 2021 0 repositories listed
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On-Device Document Classification using multimodal features6 Jan 2021 0 repositories listed
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A Half-Space Stochastic Projected Gradient Method for Group Sparsity Regularization1 Jan 2021 0 repositories listed
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Block Skim Transformer for Efficient Question Answering1 Jan 2021 0 repositories listed
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Can Students Outperform Teachers in Knowledge Distillation based Model Compression?1 Jan 2021 0 repositories listed
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Dynamic Probabilistic Pruning: Training sparse networks based on stochastic and dynamic masking1 Jan 2021 0 repositories listed
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Exploration and Estimation for Model Compression1 Jan 2021 0 repositories listed
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Knowledge distillation via softmax regression representation learning1 Jan 2021 0 repositories listed
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Model Compression via Hyper-Structure Network1 Jan 2021 0 repositories listed
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Post-Training Weighted Quantization of Neural Networks for Language Models1 Jan 2021 0 repositories listed
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Task-Agnostic and Adaptive-Size BERT Compression1 Jan 2021 0 repositories listed
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TwinDNN: A Tale of Two Deep Neural Networks1 Jan 2021 0 repositories listed
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Towards Zero-Shot Knowledge Distillation for Natural Language Processing31 Dec 2020 0 repositories listed
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18 Dec 2020 0 repositories listed
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Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces16 Dec 2020 0 repositories listed
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Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks16 Dec 2020 0 repositories listed
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15 Dec 2020 0 repositories listed
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Reinforced Multi-Teacher Selection for Knowledge Distillation11 Dec 2020 0 repositories listed
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Large-Scale Generative Data-Free Distillation10 Dec 2020 0 repositories listed
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Inferring ECG from PPG for Continuous Cardiac Monitoring Using Lightweight Neural Network9 Dec 2020 0 repositories listed
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Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework8 Dec 2020 0 repositories listed
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Model Compression Using Optimal Transport7 Dec 2020 0 repositories listed
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Multi-head Knowledge Distillation for Model Compression5 Dec 2020 0 repositories listed
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NPAS: A Compiler-aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration1 Dec 2020 0 repositories listed
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Compressing Pre-trained Language Models by Matrix Decomposition1 Dec 2020 0 repositories listed
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Edge Deep Learning for Neural Implants1 Dec 2020 0 repositories listed
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Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice1 Dec 2020 0 repositories listed
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Self-Supervised Generative Adversarial Compression1 Dec 2020 0 repositories listed
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A Selective Survey on Versatile Knowledge Distillation Paradigm for Neural Network Models30 Nov 2020 0 repositories listed
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Extreme Model Compression for On-device Natural Language Understanding30 Nov 2020 0 repositories listed