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Showing 5051–5100 of 5629 papers

TitleStatusHype
Network Recasting: A Universal Method for Network Architecture TransformationCode0
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric AnnotationsCode0
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical ApplicationsCode0
Benchmarking and Optimization of Gradient Boosting Decision Tree Algorithms—0
Comparing Computing Platforms for Deep Learning on a Humanoid Robot—0
A Fast Palette Reordering Technique Based on GPU-Optimized Genetic AlgorithmsCode0
Efficient and Robust Parallel DNN Training through Model Parallelism on Multi-GPU PlatformCode0
Travel Speed Prediction with a Hierarchical Convolutional Neural Network and Long Short-Term Memory Model Framework—0
Pack and Detect: Fast Object Detection in Videos Using Region-of-Interest Packing—0
SLAYER: Spike Layer Error Reassignment in TimeCode0
Accelerated Reinforcement Learning for Sentence Generation by Vocabulary PredictionCode0
A CNN Accelerator on FPGA Using Depthwise Separable Convolution—0
Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection—0
Learning Compression from Limited Unlabeled DataCode0
HGMR: Hierarchical Gaussian Mixtures for Adaptive 3D Registration—0
Neural Architecture OptimizationCode0
Capsule Networks for Protein Structure Classification and Prediction—0
Enhanced network anomaly detection based on deep neural networks—0
BlockQNN: Efficient Block-wise Neural Network Architecture GenerationCode0
RedSync : Reducing Synchronization Traffic for Distributed Deep Learning—0
Orders-of-magnitude speedup in atmospheric chemistry modeling through neural network-based emulation—0
Matrix Factorization on GPUs with Memory Optimization and Approximate ComputingCode0
GeneSys: Enabling Continuous Learning through Neural Network Evolution in Hardware—0
Energy-based Tuning of Convolutional Neural Networks on Multi-GPUs—0
Binarized Convolutional Neural Networks for Efficient Inference on GPUs—0
Design Flow of Accelerating Hybrid Extremely Low Bit-width Neural Network in Embedded FPGA—0
Optimal Gradient Checkpoint Search for Arbitrary Computation GraphsCode0
t-SNE-CUDA: GPU-Accelerated t-SNE and its Applications to Modern DataCode0
Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes—0
Testing the Efficient Network TRaining (ENTR) Hypothesis: initially reducing training image size makes Convolutional Neural Network training for image recognition tasks more efficient—0
StructADMM: A Systematic, High-Efficiency Framework of Structured Weight Pruning for DNNsCode0
ReenactGAN: Learning to Reenact Faces via Boundary TransferCode0
Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion PerceptionCode0
EBIC: an open source software for high-dimensional and big data biclustering analysesCode0
Supporting Very Large Models using Automatic Dataflow Graph Partitioning—0
Fast Vessel Segmentation and Tracking in Ultra High-Frequency Ultrasound Images—0
RGBiD-SLAM for Accurate Real-time Localisation and 3D MappingCode0
Newton-ADMM: A Distributed GPU-Accelerated Optimizer for Multiclass Classification ProblemsCode0
Real-Time Stereo Vision for Road Surface 3-D Reconstruction—0
PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point CloudCode0
Training Recurrent Neural Networks against Noisy Computations during Inference—0
Evolving Differentiable Gene Regulatory Networks—0
Knowledge Extracted from Recurrent Deep Belief Network for Real Time Deterministic Control—0
A GPU-Oriented Algorithm Design for Secant-Based Dimensionality Reduction—0
Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images—0
Real-time stereo vision-based lane detection system—0
Fast and Accurate Point Cloud Registration using Trees of Gaussian Mixtures—0
Real-Time Subpixel Fast Bilateral StereoCode0
Calamari - A High-Performance Tensorflow-based Deep Learning Package for Optical Character RecognitionCode0
Encoding Motion Primitives for Autonomous Vehicles using Virtual Velocity Constraints and Neural Network Scheduling—0
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