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Efficient Neural Network

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TitleStatusHype
Deep Differentiable Logic Gate NetworksCode2
WaveMix-Lite: A Resource-efficient Neural Network for Image AnalysisCode1
Component-Wise Natural Gradient Descent -- An Efficient Neural Network Optimization—0
An efficient neural-network and finite-difference hybrid method for elliptic interface problems with applications—0
Learning To Rank Diversely At Airbnb—0
QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noiseCode0
Hardware-aware mobile building block evaluation for computer vision—0
Privacy-Preserving Decentralized Inference with Graph Neural Networks in Wireless Networks—0
Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers—0
Classifying emotions and engagement in online learning based on a single facial expression recognition neural networkCode0
DeePKS+ABACUS as a Bridge between Expensive Quantum Mechanical Models and Machine Learning PotentialsCode0
LordNet: An Efficient Neural Network for Learning to Solve Parametric Partial Differential Equations without Simulated Data—0
Energy-Efficient Wake-Up Signalling for Machine-Type Devices Based on Traffic-Aware Long-Short Term Memory Prediction—0
A New Frontier of AI: On-Device AI Training and PersonalizationCode2
MobileOne: An Improved One millisecond Mobile BackboneCode2
WaveMix: A Resource-efficient Neural Network for Image AnalysisCode1
Trainable Weight Averaging: A General Approach for Subspace TrainingCode1
Novel Multicolumn Kernel Extreme Learning Machine for Food Detection via Optimal Features from CNN—0
SeqNet: An Efficient Neural Network for Automatic Malware Detection—0
Efficient and Accurate Conversion of Spiking Neural Network with Burst SpikesCode1
Computationally efficient neural network classifiers for next generation closed loop neuromodulation therapy -- a case study in epilepsy—0
MAPLE-Edge: A Runtime Latency Predictor for Edge Devices—0
Fast fluorescence lifetime imaging analysis via extreme learning machine—0
Efficient Neural Network Analysis with Sum-of-InfeasibilitiesCode2
Neural Architecture Search for Energy Efficient Always-on Audio Models—0
S^3NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Spiking Neural Networks—0
Memformer: A Memory-Augmented Transformer for Sequence Modeling—0
Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering SystemsCode0
A Convergent ADMM Framework for Efficient Neural Network TrainingCode1
Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network InferenceCode1
LMR-CBT: Learning Modality-fused Representations with CB-Transformer for Multimodal Emotion Recognition from Unaligned Multimodal Sequences—0
Efficient Neural Network Training via Forward and Backward Propagation SparsificationCode0
DistIR: An Intermediate Representation and Simulator for Efficient Neural Network Distribution—0
On the Efficiency of Deep Neural Networks—0
Dynamic Neural Diversification: Path to Computationally Sustainable Neural Networks—0
GenNet framework: interpretable deep learning for predicting phenotypes from genetic dataCode1
Efficient Neural Network Approximation of Robust PCA for Automated Analysis of Calcium Imaging DataCode1
Joint Matrix Decomposition for Deep Convolutional Neural Networks CompressionCode0
BasisNet: Two-stage Model Synthesis for Efficient Inference—0
Decentralized Inference with Graph Neural Networks in Wireless Communication Systems—0
A Survey of Quantization Methods for Efficient Neural Network Inference—0
Compute and memory efficient universal sound source separationCode1
Differentiable Neural Architecture Learning for Efficient Neural Network DesignCode1
Feature-Align Network with Knowledge Distillation for Efficient Denoising—0
SWIS -- Shared Weight bIt Sparsity for Efficient Neural Network Acceleration—0
Ground-aware Monocular 3D Object Detection for Autonomous DrivingCode1
Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEsCode1
Scaling the Convex Barrier with Sparse Dual Algorithms—0
MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training—0
UMEC: Unified model and embedding compression for efficient recommendation systems—0
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