{"total":39,"rows":[{"id":"2203.17149","title":"AEGNN: Asynchronous Event-based Graph Neural Networks","created":"2022-03-31","cited_by_count":118,"area":null},{"id":"2101.05108","title":"Fast convolutional neural networks on FPGAs with hls4ml","created":"2021-01-13","cited_by_count":42,"area":null},{"id":"2105.09564","title":"Dual-side Sparse Tensor Core","created":"2021-05-20","cited_by_count":29,"area":null},{"id":"2202.05054","title":"Exploiting Spatial Sparsity for Event Cameras with Visual Transformers","created":"2022-02-10","cited_by_count":23,"area":null},{"id":"2306.15552","title":"A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms","created":"2023-06-27","cited_by_count":21,"area":null},{"id":"2108.02297","title":"Spartus: A 9.4 TOp/s FPGA-based LSTM Accelerator Exploiting Spatio-Temporal Sparsity","created":"2021-08-04","cited_by_count":20,"area":null},{"id":"2404.11770","title":"Event-Based Eye Tracking. AIS 2024 Challenge Survey","created":"2024-04-17","cited_by_count":19,"area":null},{"id":"2107.05530","title":"ROBIN: A Robust Optical Binary Neural Network Accelerator","created":"2021-07-12","cited_by_count":15,"area":null},{"id":"2112.13896","title":"Two Sparsities Are Better Than One: Unlocking the Performance Benefits of Sparse-Sparse Networks","created":"2021-12-27","cited_by_count":15,"area":null},{"id":"2412.11702","title":"Flex-PE: Flexible and SIMD Multi-Precision Processing Element for AI Workloads","created":"2024-12-16","cited_by_count":15,"area":null},{"id":"2109.04459","title":"SONIC: A Sparse Neural Network Inference Accelerator with Silicon Photonics for Energy-Efficient Deep Learning","created":"2021-09-09","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":"2404.14279","title":"Co-designing a Sub-millisecond Latency Event-based Eye Tracking System with Submanifold Sparse CNN","created":"2024-04-22","cited_by_count":8,"area":null},{"id":"2407.08356","title":"Event-based vision on FPGAs -- a survey","created":"2024-07-11","cited_by_count":7,"area":null},{"id":"2503.22943","title":"Event Camera Meets Mobile Embodied Perception: Abstraction, Algorithm, Acceleration, Application","created":"2025-03-29","cited_by_count":6,"area":null},{"id":"2201.03013","title":"ThreshNet: An Efficient DenseNet Using Threshold Mechanism to Reduce Connections","created":"2022-01-09","cited_by_count":4,"area":null},{"id":"2105.10554","title":"GNNIE: GNN Inference Engine with Load-balancing and Graph-Specific Caching","created":"2021-05-21","cited_by_count":3,"area":null},{"id":"2303.12910","title":"Cross-Layer Design for AI Acceleration with Non-Coherent Optical Computing","created":"2023-03-22","cited_by_count":3,"area":null},{"id":"2409.04976","title":"HYDRA: Hybrid Data Multiplexing and Run-time Layer Configurable DNN Accelerator","created":"2024-09-08","cited_by_count":3,"area":null},{"id":"2107.07305","title":"Training for temporal sparsity in deep neural networks, application in video processing","created":"2021-07-15","cited_by_count":2,"area":null},{"id":"2207.04663","title":"An Ultra-low Power TinyML System for Real-time Visual Processing at Edge","created":"2022-07-11","cited_by_count":2,"area":null},{"id":"2210.15170","title":"Improved Projection Learning for Lower Dimensional Feature Maps","created":"2022-10-27","cited_by_count":2,"area":null},{"id":"2112.07019","title":"Synapse Compression for Event-Based Convolutional-Neural-Network Accelerators","created":"2021-12-13","cited_by_count":1,"area":null},{"id":"2202.02310","title":"EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators","created":"2022-02-04","cited_by_count":1,"area":null},{"id":"2212.02046","title":"Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition with Hierarchical Tucker Tensor Decomposition","created":"2022-12-05","cited_by_count":1,"area":null},{"id":"2310.17404","title":"Invariance Measures for Neural Networks","created":"2023-10-26","cited_by_count":1,"area":null},{"id":"2106.12810","title":"A Construction Kit for Efficient Low Power Neural Network Accelerator Designs","created":"2021-06-24","cited_by_count":0,"area":null},{"id":"2204.09797","title":"Multiply-and-Fire (MNF): An Event-driven Sparse Neural Network Accelerator","created":"2022-04-20","cited_by_count":0,"area":null},{"id":"2206.11448","title":"Efficient Adaptive Federated Optimization of Federated Learning for IoT","created":"2022-06-23","cited_by_count":0,"area":null},{"id":"2208.04588","title":"SBPF: Sensitiveness Based Pruning Framework For Convolutional Neural Network On Image Classification","created":"2022-08-09","cited_by_count":0,"area":null},{"id":"2304.03013","title":"Tensor Slicing and Optimization for Multicore NPUs","created":"2023-04-06","cited_by_count":0,"area":null},{"id":"2312.08176","title":"ASC: Adaptive Scale Feature Map Compression for Deep Neural Network","created":"2023-12-13","cited_by_count":0,"area":null},{"id":"2502.12300","title":"Per-channel autoregressive linear prediction padding in tiled CNN processing of 2D spatial data","created":"2025-02-17","cited_by_count":0,"area":null},{"id":"2503.11685","title":"CORDIC Is All You Need","created":"2025-03-04","cited_by_count":0,"area":null},{"id":"2507.01429","title":"Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems","created":"2025-07-02","cited_by_count":0,"area":null},{"id":"2508.12637","title":"HOMI: Ultra-Fast EdgeAI platform for Event Cameras","created":"2025-08-18","cited_by_count":0,"area":null},{"id":"2512.06208","title":"SparsePixels: Efficient Convolution for Sparse Data on FPGAs","created":"2025-12-05","cited_by_count":0,"area":null},{"id":"2603.10100","title":"Hardware Efficient Approximate Convolution with Tunable Error Tolerance for CNNs","created":"2026-03-10","cited_by_count":0,"area":null},{"id":"2606.09946","title":"SPARX: Secure and Privacy-Aware Approximate CNN Acceleration with Edge RISC-V SoC","created":"2026-06-08","cited_by_count":0,"area":null}],"next_cursor":null}