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Efficient Neural Network

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Showing 201–224 of 224 papers

TitleStatusHype
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
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