{"total":39,"rows":[{"id":"2302.07867","title":"Learning Performance-Improving Code Edits","created":"2023-02-15","cited_by_count":106,"area":null},{"id":"2107.06419","title":"FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks","created":"2021-07-13","cited_by_count":39,"area":null},{"id":"2110.11346","title":"Data-Driven Offline Optimization For Architecting Hardware Accelerators","created":"2021-10-20","cited_by_count":29,"area":null},{"id":"2309.11932","title":"A Machine Learning-oriented Survey on Tiny Machine Learning","created":"2023-09-21","cited_by_count":27,"area":null},{"id":"2105.12842","title":"A Full-Stack Search Technique for Domain Optimized Deep Learning Accelerators","created":"2021-05-26","cited_by_count":19,"area":null},{"id":"2207.11617","title":"Face Deblurring using Dual Camera Fusion on Mobile Phones","created":"2022-07-23","cited_by_count":18,"area":null},{"id":"2106.14729","title":"Real-Time Multi-View 3D Human Pose Estimation using Semantic Feedback to Smart Edge Sensors","created":"2021-06-28","cited_by_count":16,"area":null},{"id":"2302.04907","title":"Binarized Neural Machine Translation","created":"2023-02-09","cited_by_count":13,"area":null},{"id":"2209.00606","title":"Sparse Attention Acceleration with Synergistic In-Memory Pruning and On-Chip Recomputation","created":"2022-09-01","cited_by_count":12,"area":null},{"id":"2210.03894","title":"GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation","created":"2022-10-08","cited_by_count":9,"area":null},{"id":"2204.03227","title":"Accelerating Attention through Gradient-Based Learned Runtime Pruning","created":"2022-04-07","cited_by_count":8,"area":null},{"id":"2109.13666","title":"Fail-Safe Human Detection for Drones Using a Multi-Modal Curriculum Learning Approach","created":"2021-09-28","cited_by_count":7,"area":null},{"id":"2211.15751","title":"Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques","created":"2022-11-28","cited_by_count":7,"area":null},{"id":"2304.04716","title":"RESPECT: Reinforcement Learning based Edge Scheduling on Pipelined Coral Edge TPUs","created":"2023-04-10","cited_by_count":7,"area":null},{"id":"2306.08888","title":"ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design","created":"2023-06-15","cited_by_count":6,"area":null},{"id":"2307.04049","title":"Parallel Algorithms Align with Neural Execution","created":"2023-07-08","cited_by_count":6,"area":null},{"id":"2103.11927","title":"Hardware Acceleration of Explainable Machine Learning using Tensor Processing Units","created":"2021-03-22","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":"2108.13732","title":"Deep Learning on Edge TPUs","created":"2021-08-31","cited_by_count":3,"area":null},{"id":"2304.12985","title":"Rubik's Optical Neural Networks: Multi-task Learning with Physics-aware Rotation Architecture","created":"2023-04-25","cited_by_count":3,"area":null},{"id":"2306.05060","title":"Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference","created":"2023-06-08","cited_by_count":3,"area":null},{"id":"2404.10921","title":"Tao: Re-Thinking DL-based Microarchitecture Simulation","created":"2024-04-16","cited_by_count":3,"area":null},{"id":"2209.11024","title":"Google Coral-based edge computing person reidentification using human parsing combined with analytical method","created":"2022-09-22","cited_by_count":2,"area":null},{"id":"2502.06982","title":"Machine Learning Fleet Efficiency: Analyzing and Optimizing Large-Scale Google TPU Systems with ML Productivity Goodput","created":"2025-02-10","cited_by_count":2,"area":null},{"id":"2110.08826","title":"Exploring Deep Neural Networks on Edge TPU","created":"2021-10-17","cited_by_count":1,"area":null},{"id":"2407.08700","title":"Flex-TPU: A Flexible TPU with Runtime Reconfigurable Dataflow Architecture","created":"2024-07-11","cited_by_count":1,"area":null},{"id":"2605.14839","title":"GenAI for Energy-Efficient and Interference-Aware Compressed Sensing of GNSS Signals on a Google Edge TPU","created":"2026-05-14","cited_by_count":1,"area":null},{"id":"2303.11223","title":"Monocular Cyclist Detection with Convolutional Neural Networks","created":"2023-01-16","cited_by_count":0,"area":null},{"id":"2305.04887","title":"Hardware Acceleration of Explainable Artificial Intelligence","created":"2023-05-04","cited_by_count":0,"area":null},{"id":"2306.16767","title":"Performance Analysis of DNN Inference/Training with Convolution and non-Convolution Operations","created":"2023-06-29","cited_by_count":0,"area":null},{"id":"2311.12235","title":"Improvements in Interlayer Pipelining of CNN Accelerators Using Genetic Algorithms","created":"2023-11-20","cited_by_count":0,"area":null},{"id":"2403.10726","title":"Strict Partitioning for Sporadic Rigid Gang Tasks","created":"2024-03-15","cited_by_count":0,"area":null},{"id":"2409.18566","title":"Optimizing DNN Inference on Multi-Accelerator SoCs at Training-time","created":"2024-09-27","cited_by_count":0,"area":null},{"id":"2411.01227","title":"Rotational Odometry using Ultra Low Resolution Thermal Cameras","created":"2024-11-02","cited_by_count":0,"area":null},{"id":"2506.12536","title":"Deep Fusion of Ultra-Low-Resolution Thermal Camera and Gyroscope Data for Lighting-Robust and Compute-Efficient Rotational Odometry","created":"2025-06-14","cited_by_count":0,"area":null},{"id":"2509.03846","title":"Hardware-Aware Data and Instruction Mapping for AI Tasks: Balancing Parallelism, I/O and Memory Tradeoffs","created":"2025-09-04","cited_by_count":0,"area":null},{"id":"2510.14161","title":"Data Understanding Survey: Pursuing Improved Dataset Characterization Via Tensor-based Methods","created":"2025-10-15","cited_by_count":0,"area":null},{"id":"2510.18036","title":"Transformer Redesign for Late Fusion of Audio-Text Features on Ultra-Low-Power Edge Hardware","created":"2025-10-20","cited_by_count":0,"area":null},{"id":"2608.21646","title":"Power-Performance Characterization of TinyML Systems","created":"2026-08-21","cited_by_count":0,"area":null}],"next_cursor":null}