## Journals starting with edlc

*EDLCV20*
* ***Efficient Deep Learning for Computer Vision**

* AdaMT-Net: An Adaptive Weight Learning Based Multi-Task Learning Model For Scene Understanding

* Adaptive Posit: Parameter aware numerical format for deep learning inference on the edge

* Any-Width Networks

* Attentive Semantic Preservation Network for Zero-Shot Learning

* BAMSProd: A Step towards Generalizing the Adaptive Optimization Methods to Deep Binary Model

* Computer-aided diagnosis system of lung carcinoma using Convolutional Neural Networks

* Constraint-Aware Importance Estimation for Global Filter Pruning under Multiple Resource Constraints

* Data-Free Network Quantization With Adversarial Knowledge Distillation

* Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training

* Dynamic Inference: A New Approach Toward Efficient Video Action Recognition

* Fast Hardware-Aware Neural Architecture Search

* FoNet: A Memory-efficient Fourier-based Orthogonal Network for Object Recognition

* Intelligent Scene Caching to Improve Accuracy for Energy-Constrained Embedded Vision

* Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification

* Learning Sparse Neural Networks Through Mixture-Distributed Regularization

* Learning Sparse Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T)

* Least squares binary quantization of neural networks

* Low-bit Quantization Needs Good Distribution

* LSQ+: Improving low-bit quantization through learnable offsets and better initialization

* Mimic The Raw Domain: Accelerating Action Recognition in the Compressed Domain

* Monte Carlo Gradient Quantization

* Neural Network Compression Using Higher-Order Statistics and Auxiliary Reconstruction Losses

* Now that I can see, I can improve: Enabling data-driven finetuning of CNNs on the edge

* Randaugment: Practical automated data augmentation with a reduced search space

* RefineDetLite: A Lightweight One-stage Object Detection Framework for CPU-only Devices

* Structured Weight Unification and Encoding for Neural Network Compression and Acceleration

* Ternary MobileNets via Per-Layer Hybrid Filter Banks

28 for EDLCV20

Index for "e"

Last update:18-Jul-24 21:26:25

Use price@usc.edu for comments.