{"total":60,"rows":[{"id":"2103.13630","title":"A Survey of Quantization Methods for Efficient Neural Network Inference","created":"2021-03-25","cited_by_count":815,"area":null},{"id":"2101.01321","title":"I-BERT: Integer-only BERT Quantization","created":"2021-01-05","cited_by_count":255,"area":null},{"id":"2103.01049","title":"Diversifying Sample Generation for Accurate Data-Free Quantization","created":"2021-03-01","cited_by_count":63,"area":null},{"id":"2202.07471","title":"SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation","created":"2022-02-14","cited_by_count":55,"area":null},{"id":"2412.13443","title":"DarkIR: Robust Low-Light Image Restoration","created":"2024-12-18","cited_by_count":48,"area":null},{"id":"2101.08940","title":"Hessian-Aware Pruning and Optimal Neural Implant","created":"2021-01-22","cited_by_count":45,"area":null},{"id":"2304.06544","title":"DNeRV: Modeling Inherent Dynamics via Difference Neural Representation for Videos","created":"2023-04-13","cited_by_count":42,"area":null},{"id":"2112.07957","title":"FEAR: Fast, Efficient, Accurate and Robust Visual Tracker","created":"2021-12-15","cited_by_count":38,"area":null},{"id":"2404.07236","title":"Lightweight Deep Learning for Resource-Constrained Environments: A Survey","created":"2024-04-08","cited_by_count":38,"area":null},{"id":"2110.13041","title":"Applications and Techniques for Fast Machine Learning in Science","created":"2021-10-25","cited_by_count":32,"area":null},{"id":"2205.01972","title":"Sequencer: Deep LSTM for Image Classification","created":"2022-05-04","cited_by_count":23,"area":null},{"id":"2102.05610","title":"Searching for Fast Model Families on Datacenter Accelerators","created":"2021-02-10","cited_by_count":22,"area":null},{"id":"2203.17008","title":"It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher","created":"2022-03-31","cited_by_count":20,"area":null},{"id":"2307.09988","title":"TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge","created":"2023-07-19","cited_by_count":18,"area":null},{"id":"2201.03297","title":"GhostNets on Heterogeneous Devices via Cheap Operations","created":"2022-01-10","cited_by_count":15,"area":null},{"id":"2103.15750","title":"Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design","created":"2021-03-25","cited_by_count":13,"area":null},{"id":"2104.11629","title":"DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing from Decentralised Data","created":"2021-04-23","cited_by_count":12,"area":null},{"id":"2104.11849","title":"Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-scale Distributional Dynamics","created":"2021-04-24","cited_by_count":12,"area":null},{"id":"2202.07242","title":"Neural Architecture Search for Dense Prediction Tasks in Computer Vision","created":"2022-02-15","cited_by_count":12,"area":null},{"id":"2109.00212","title":"Diverse Sample Generation: Pushing the Limit of Generative Data-free Quantization","created":"2021-09-01","cited_by_count":11,"area":null},{"id":"2104.04767","title":"MobileStyleGAN: A Lightweight Convolutional Neural Network for High-Fidelity Image Synthesis","created":"2021-04-10","cited_by_count":10,"area":null},{"id":"2201.01458","title":"Cross-SRN: Structure-Preserving Super-Resolution Network with Cross Convolution","created":"2022-01-05","cited_by_count":10,"area":null},{"id":"2112.15131","title":"Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques","created":"2021-12-30","cited_by_count":9,"area":null},{"id":"2503.04333","title":"GaussianVideo: Efficient Video Representation and Compression by Gaussian Splatting","created":"2025-03-06","cited_by_count":8,"area":null},{"id":"2208.06064","title":"Mixed-Precision Neural Networks: A Survey","created":"2022-08-11","cited_by_count":7,"area":null},{"id":"2312.05743","title":"Building Variable-sized Models via Learngene Pool","created":"2023-12-10","cited_by_count":7,"area":null},{"id":"2111.06660","title":"Frequency learning for structured CNN filters with Gaussian fractional derivatives","created":"2021-11-12","cited_by_count":6,"area":null},{"id":"2112.02834","title":"A Generalized Zero-Shot Quantization of Deep Convolutional Neural Networks via Learned Weights Statistics","created":"2021-12-06","cited_by_count":6,"area":null},{"id":"2309.11531","title":"EPTQ: Enhanced Post-Training Quantization via Hessian-guided Network-wise Optimization","created":"2023-09-20","cited_by_count":6,"area":null},{"id":"2203.03794","title":"YONO: Modeling Multiple Heterogeneous Neural Networks on Microcontrollers","created":"2022-03-08","cited_by_count":4,"area":null},{"id":"2206.07741","title":"Edge Inference with Fully Differentiable Quantized Mixed Precision Neural Networks","created":"2022-06-15","cited_by_count":4,"area":null},{"id":"2207.13600","title":"Lightweight and Progressively-Scalable Networks for Semantic Segmentation","created":"2022-07-27","cited_by_count":4,"area":null},{"id":"2412.20269","title":"TeLU Activation Function for Fast and Stable Deep Learning","created":"2024-12-28","cited_by_count":4,"area":null},{"id":"2206.01298","title":"A memory-efficient neural ODE framework based on high-level adjoint differentiation","created":"2022-06-02","cited_by_count":3,"area":null},{"id":"2505.03303","title":"Comparative Analysis of Lightweight CNNs for Resource-Constrained Devices: Predictive Performance, Efficiency Trade-offs, and Initialization Effects","created":"2025-05-06","cited_by_count":3,"area":null},{"id":"2105.13434","title":"FuSeConv: Fully Separable Convolutions for Fast Inference on Systolic Arrays","created":"2021-05-27","cited_by_count":2,"area":null},{"id":"2207.09258","title":"EVE: Environmental Adaptive Neural Network Models for Low-power Energy Harvesting System","created":"2022-07-14","cited_by_count":2,"area":null},{"id":"2209.00411","title":"Efficient ML Models for Practical Secure Inference","created":"2022-08-26","cited_by_count":2,"area":null},{"id":"2303.08970","title":"Gated Compression Layers for Efficient Always-On Models","created":"2023-03-15","cited_by_count":2,"area":null},{"id":"2509.08980","title":"Green Federated Learning via Carbon-Aware Client and Time Slot Scheduling","created":"2025-09-10","cited_by_count":2,"area":null},{"id":"2101.11800","title":"AdaSpring: Context-adaptive and Runtime-evolutionary Deep Model Compression for Mobile Applications","created":"2021-01-28","cited_by_count":1,"area":null},{"id":"2108.11441","title":"Design and Scaffolded Training of an Efficient DNN Operator for Computer Vision on the Edge","created":"2021-08-25","cited_by_count":1,"area":null},{"id":"2208.10498","title":"Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey","created":"2022-08-22","cited_by_count":1,"area":null},{"id":"2311.11424","title":"Tensor-Aware Energy Accounting","created":"2023-11-19","cited_by_count":1,"area":null},{"id":"2312.08532","title":"Cooperative Learning for Cost-Adaptive Inference","created":"2023-12-13","cited_by_count":1,"area":null},{"id":"2406.13086","title":"NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation","created":"2024-06-18","cited_by_count":1,"area":null},{"id":"2412.00724","title":"AdaScale: Dynamic Context-aware DNN Scaling via Automated Adaptation Loop on Mobile Devices","created":"2024-12-01","cited_by_count":1,"area":null},{"id":"2607.08013","title":"Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems","created":"2026-07-09","cited_by_count":1,"area":null},{"id":"2202.12422","title":"Standard Deviation-Based Quantization for Deep Neural Networks","created":"2022-02-24","cited_by_count":0,"area":null},{"id":"2209.15252","title":"PointPillars Backbone Type Selection For Fast and Accurate LiDAR Object Detection","created":"2022-09-30","cited_by_count":0,"area":null},{"id":"2301.04631","title":"Deep Residual Axial Networks","created":"2023-01-11","cited_by_count":0,"area":null},{"id":"2303.14838","title":"Lightweight Estimation of Hand Mesh and Biomechanically Feasible Kinematic Parameters","created":"2023-03-26","cited_by_count":0,"area":null},{"id":"2403.06352","title":"Exploring Hardware Friendly Bottleneck Architecture in CNN for Embedded Computing Systems","created":"2024-03-11","cited_by_count":0,"area":null},{"id":"2407.11037","title":"ISQuant: apply squant to the real deployment","created":"2024-07-05","cited_by_count":0,"area":null},{"id":"2504.06881","title":"Compound and Parallel Modes of Tropical Convolutional Neural Networks","created":"2025-04-09","cited_by_count":0,"area":null},{"id":"2511.00335","title":"Beyond ImageNet: Understanding Cross-Dataset Robustness of Lightweight Vision Models","created":"2025-11-01","cited_by_count":0,"area":null},{"id":"2602.04044","title":"A Parameterizable Convolution Accelerator for Embedded Deep Learning Applications","created":"2026-02-03","cited_by_count":0,"area":null},{"id":"2603.00099","title":"SEval-NAS: A Search-Agnostic Evaluation for Neural Architecture Search","created":"2026-02-17","cited_by_count":0,"area":null},{"id":"2604.07286","title":"CADENCE: Context-Adaptive Depth Estimation for Navigation and Computational Efficiency","created":"2026-04-08","cited_by_count":0,"area":null},{"id":"2607.09063","title":"EvoLP: Self-Evolving Latency Predictor for Model Compression in Real-Time Edge Systems","created":"2026-07-10","cited_by_count":0,"area":null}],"next_cursor":null}