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Efficient Neural Network

Papers

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Showing 151–200 of 224 papers

TitleStatusHype
VQ4ALL: Efficient Neural Network Representation via a Universal Codebook—0
Handwritten Character Recognition Using Unique Feature Extraction Technique—0
Hardware-aware mobile building block evaluation for computer vision—0
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models—0
HGC: Hierarchical Group Convolution for Highly Efficient Neural Network—0
High performance RNNs with spiking neurons—0
Progressive Automatic Design of Search Space for One-Shot Neural Architecture Search—0
IDKM: Memory Efficient Neural Network Quantization via Implicit, Differentiable k-Means—0
Improved weight initialization for deep and narrow feedforward neural network—0
Infra-YOLO: Efficient Neural Network Structure with Model Compression for Real-Time Infrared Small Object Detection—0
Interact2Vec -- An efficient neural network-based model for simultaneously learning users and items embeddings in recommender systems—0
Joint Regularization on Activations and Weights for Efficient Neural Network Pruning—0
Lat-Net: Compressing Lattice Boltzmann Flow Simulations using Deep Neural Networks—0
Learning both Weights and Connections for Efficient Neural Network—0
Learning Discrete Weights and Activations Using the Local Reparameterization Trick—0
Learning To Rank Diversely At Airbnb—0
LeMo-NADe: Multi-Parameter Neural Architecture Discovery with LLMs—0
Linearity-based neural network compression—0
LMR-CBT: Learning Modality-fused Representations with CB-Transformer for Multimodal Emotion Recognition from Unaligned Multimodal Sequences—0
LordNet: An Efficient Neural Network for Learning to Solve Parametric Partial Differential Equations without Simulated Data—0
LUTMUL: Exceed Conventional FPGA Roofline Limit by LUT-based Efficient Multiplication for Neural Network Inference—0
LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup—0
MambaJSCC: Adaptive Deep Joint Source-Channel Coding with Generalized State Space Model—0
MAPLE-Edge: A Runtime Latency Predictor for Edge Devices—0
Mapping Road Lanes Using Laser Remission and Deep Neural Networks—0
MDeRainNet: An Efficient Neural Network for Rain Streak Removal from Macro-pixel Images—0
Measurement error models: from nonparametric methods to deep neural networks—0
Memformer: A Memory-Augmented Transformer for Sequence Modeling—0
Memformer: A Memory-Augmented Transformer for Sequence Modeling—0
MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training—0
Mono-Forward: Backpropagation-Free Algorithm for Efficient Neural Network Training Harnessing Local Errors—0
Generalizable Learning Reconstruction for Accelerating MR Imaging via Federated Neural Architecture SearchCode0
Orthogonal Transforms in Neural Networks Amount to Effective RegularizationCode0
QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noiseCode0
When do they StOP?: A First Step Towards Automatically Identifying Team Communication in the Operating RoomCode0
Harmonic Loss Trains Interpretable AI ModelsCode0
QuickCharNet: An Efficient URL Classification Framework for Enhanced Search Engine OptimizationCode0
CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUsCode0
Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian InferenceCode0
vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network DesignCode0
Hyperbolic Representation Learning for Fast and Efficient Neural Question AnsweringCode0
Distilled Pruning: Using Synthetic Data to Win the LotteryCode0
FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of ThingsCode0
Deep Learning for Single Image Super-Resolution: A Brief ReviewCode0
NeXtVLAD: An Efficient Neural Network to Aggregate Frame-level Features for Large-scale Video ClassificationCode0
EdgeCNN: Convolutional Neural Network Classification Model with small inputs for Edge ComputingCode0
Joint Matrix Decomposition for Deep Convolutional Neural Networks CompressionCode0
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity MeasuresCode0
On Efficient Neural Network Architectures for Image CompressionCode0
Learn2Mix: Training Neural Networks Using Adaptive Data IntegrationCode0
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