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Showing 851–900 of 2231 papers

TitleStatusHype
Efficient and High-Quality Neural Machine Translation with OpenNMT—0
BestServe: Serving Strategies with Optimal Goodput in Collocation and Disaggregation Architectures—0
Fast geodesic shooting for landmark matching using CUDA—0
Analyzing and Mitigating Data Stalls in DNN Training—0
Fast, High-Quality and Parameter-Efficient Articulatory Synthesis using Differentiable DSP—0
A Cost-Efficient FPGA Implementation of Tiny Transformer Model using Neural ODE—0
FLIC: Fast Lidar Image Clustering—0
Fast Light-Weight Near-Field Photometric Stereo—0
Fast Linear Interpolation for Piecewise-Linear Functions, GAMs, and Deep Lattice Networks—0
FastMamba: A High-Speed and Efficient Mamba Accelerator on FPGA with Accurate Quantization—0
Fast matrix multiplication for binary and ternary CNNs on ARM CPU—0
Efficient and accurate neural field reconstruction using resistive memory—0
Efficient 6-DoF Tracking of Handheld Objects from an Egocentric Viewpoint—0
Efficient 2D-to-3D Correspondence Filtering for Scalable 3D Object Recognition—0
Fast Multi-frame Stereo Scene Flow with Motion Segmentation—0
Fast Multiple-Part Based Object Detection Using KD-Ferns—0
Analytically-Driven Resource Management for Cloud-Native Microservices—0
Fast Neural Network Inference on FPGAs for Triggering on Long-Lived Particles at Colliders—0
Fast Object Classification and Meaningful Data Representation of Segmented Lidar Instances—0
Fast Object Detection with a Machine Learning Edge Device—0
Accelerating GMM-based patch priors for image restoration: Three ingredients for a 100 speed-up—0
Effective and Scalable Clustering on Massive Attributed Graphs—0
EFA-YOLO: An Efficient Feature Attention Model for Fire and Flame Detection—0
Benchmarking State-of-the-Art Deep Learning Software Tools—0
eDKM: An Efficient and Accurate Train-time Weight Clustering for Large Language Models—0
Edinburgh's Submissions to the 2020 Machine Translation Efficiency Task—0
Fast Projective Image Rectification for Planar Objects with Manhattan Structure—0
Compressed Real Numbers for AI: a case-study using a RISC-V CPU—0
A Convolutional Neural Network Cascade for Face Detection—0
Generative AI on the Edge: Architecture and Performance Evaluation—0
Fast-Spanning Ant Colony Optimisation (FaSACO) for Mobile Robot Coverage Path Planning—0
Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG via Block Sparse Bayesian Learning—0
Fast Video Classification via Adaptive Cascading of Deep Models—0
FastWave: Accelerating Autoregressive Convolutional Neural Networks on FPGA—0
Fault Injectors for TensorFlow: Evaluation of the Impact of Random Hardware Faults on Deep CNNs—0
Compressing VAE-Based Out-of-Distribution Detectors for Embedded Deployment—0
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems—0
Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours—0
Feature and Variable Selection in Classification—0
Feature Compression for Rate Constrained Object Detection on the Edge—0
Feature Selection for Learning to Predict Outcomes of Compute Cluster Jobs with Application to Decision Support—0
Computational ghost imaging using a field-programmable gate array—0
FeCaffe: FPGA-enabled Caffe with OpenCL for Deep Learning Training and Inference on Intel Stratix 10—0
Computational optimization of convolutional neural networks using separated filters architecture—0
Edge-GPU Based Face Tracking for Face Detection and Recognition Acceleration—0
Benchmarking of CPU-intensive Stream Data Processing in The Edge Computing Systems—0
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM—0
Analog CMOS-based Resistive Processing Unit for Deep Neural Network Training—0
Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets—0
ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines—0
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