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Showing 876900 of 2231 papers

TitleStatusHype
Edinburgh's Submissions to the 2020 Machine Translation Efficiency Task0
Fast Projective Image Rectification for Planar Objects with Manhattan Structure0
Compressed Real Numbers for AI: a case-study using a RISC-V CPU0
A Convolutional Neural Network Cascade for Face Detection0
Generative AI on the Edge: Architecture and Performance Evaluation0
Fast-Spanning Ant Colony Optimisation (FaSACO) for Mobile Robot Coverage Path Planning0
Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG via Block Sparse Bayesian Learning0
Fast Video Classification via Adaptive Cascading of Deep Models0
FastWave: Accelerating Autoregressive Convolutional Neural Networks on FPGA0
Fault Injectors for TensorFlow: Evaluation of the Impact of Random Hardware Faults on Deep CNNs0
Compressing VAE-Based Out-of-Distribution Detectors for Embedded Deployment0
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems0
Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours0
Feature and Variable Selection in Classification0
Feature Compression for Rate Constrained Object Detection on the Edge0
Feature Selection for Learning to Predict Outcomes of Compute Cluster Jobs with Application to Decision Support0
Computational ghost imaging using a field-programmable gate array0
FeCaffe: FPGA-enabled Caffe with OpenCL for Deep Learning Training and Inference on Intel Stratix 100
Computational optimization of convolutional neural networks using separated filters architecture0
Edge-GPU Based Face Tracking for Face Detection and Recognition Acceleration0
Benchmarking of CPU-intensive Stream Data Processing in The Edge Computing Systems0
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM0
Analog CMOS-based Resistive Processing Unit for Deep Neural Network Training0
Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets0
ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines0
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