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Showing 1701–1750 of 2231 papers

TitleStatusHype
DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs (Extended)—0
Solving machine learning optimization problems using quantum computers—0
OpenArray v1.0: a simple operator library for the decoupling of ocean modeling and parallel computing—0
A Computing Kernel for Network Binarization on PyTorchCode0
CenterFace: Joint Face Detection and Alignment Using Face as PointCode0
Fast Optical System Identification by Numerical InterferometryCode0
From Research to Production and Back: Ludicrously Fast Neural Machine Translation—0
ALERT: Accurate Learning for Energy and Timeliness—0
Scaling structural learning with NO-BEARS to infer causal transcriptome networksCode0
On the effects of pseudorandom and quantum-random number generators in soft computingCode0
Real-time Memory Efficient Large-pose Face Alignment via Deep Evolutionary Network—0
Fast Hardware-Aware Neural Architecture Search—0
Reconstruction of Undersampled 3D Non-Cartesian Image-Based Navigators for Coronary MRA Using an Unrolled Deep Learning Model—0
Deep learning guided Android malware and anomaly detection—0
SneakySnake: A Fast and Accurate Universal Genome Pre-Alignment Filter for CPUs, GPUs, and FPGAsCode0
From Dark Matter to Galaxies with Convolutional Neural NetworksCode0
Hyper: Distributed Cloud Processing for Large-Scale Deep Learning Tasks—0
Tiny Video NetworksCode0
Breadth-first, Depth-next Training of Random Forests—0
A High-Throughput Solver for Marginalized Graph Kernels on GPU—0
Parallelized Training of Restricted Boltzmann Machines using Markov-Chain Monte Carlo Methods—0
Modelling Resistive and Phase Change Memory with Passive Selector Arrays -- A Matlab ToolCode0
Neural Program Synthesis By Self-Learning—0
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM—0
On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing—0
xYOLO: A Model For Real-Time Object Detection In Humanoid Soccer On Low-End Hardware—0
Impact of Inference Accelerators on hardware selection—0
Accelerating Data Loading in Deep Neural Network Training—0
Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence—0
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning—0
Dual-module Inference for Efficient Recurrent Neural Networks—0
Prune or quantize? Strategy for Pareto-optimally low-cost and accurate CNN—0
Project and Forget: Solving Large Scale Metric Constrained Problems—0
DyNet: Dynamic Convolution for Accelerating Convolution Neural Networks—0
Fast Linear Interpolation for Piecewise-Linear Functions, GAMs, and Deep Lattice Networks—0
JAX MD: End-to-End Differentiable, Hardware Accelerated, Molecular Dynamics in Pure PythonCode0
Augmented Memory for Correlation Filters in Real-Time UAV TrackingCode0
A System-Level Solution for Low-Power Object Detection—0
Efficient Multi-Agent Trajectory Planning with Feasibility Guarantee using Relative Bernstein PolynomialCode0
Machine Learning Pipelines with Modern Big Data Tools for High Energy PhysicsCode0
K-TanH: Efficient TanH For Deep Learning—0
Benchmarking the Performance and Energy Efficiency of AI Accelerators for AI Training—0
Image Segmentation using Multi-Threshold technique by Histogram Sampling—0
Real-time Scalable Dense Surfel MappingCode0
Accelerating Training using Tensor DecompositionCode0
A Resource-Efficient Embedded Iris Recognition System Using Fully Convolutional NetworksCode0
A Novel Design of Adaptive and Hierarchical Convolutional Neural Networks using Partial Reconfiguration on FPGA—0
DurIAN: Duration Informed Attention Network For Multimodal SynthesisCode0
Multi-sensor cloud and cloud shadow segmentation with a convolutional neural networkCode0
Small and Practical BERT Models for Sequence Labeling—0
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