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Efficient Neural Network
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Linearity-based neural network compression
Accelerating 3D Gaussian Splatting with Neural Sorting and Axis-Oriented Rasterization
SpikePingpong: High-Frequency Spike Vision-based Robot Learning for Precise Striking in Table Tennis Game
Dynamic Spectral Backpropagation for Efficient Neural Network Training
Probabilistic Emulation of the Community Radiative Transfer Model Using Machine Learning
Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?
LightSNN: Lightweight Architecture Search for Sparse and Accurate Spiking Neural Networks
Efficient Reachability Analysis for Convolutional Neural Networks Using Hybrid Zonotopes
Reinforcement Learning-based Threat Assessment
Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression
When do they StOP?: A First Step Towards Automatically Identifying Team Communication in the Operating Room
Harmonic Loss Trains Interpretable AI Models
Multiscale Training of Convolutional Neural Networks
Mono-Forward: Backpropagation-Free Algorithm for Efficient Neural Network Training Harnessing Local Errors
HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs
Learn2Mix: Training Neural Networks Using Adaptive Data Integration
Efficient Neural Network Encoding for 3D Color Lookup Tables
A Digital twin for Diesel Engines: Operator-infused PINNs with Transfer Learning for Engine Health Monitoring
Prediction-Enhanced Monte Carlo: A Machine Learning View on Control Variate
VQ4ALL: Efficient Neural Network Representation via a Universal Codebook
MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents
EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality
Can KAN Work? Exploring the Potential of Kolmogorov-Arnold Networks in Computer Vision
LUTMUL: Exceed Conventional FPGA Roofline Limit by LUT-based Efficient Multiplication for Neural Network Inference
QuickCharNet: An Efficient URL Classification Framework for Enhanced Search Engine Optimization
Small Contributions, Small Networks: Efficient Neural Network Pruning Based on Relative Importance
Efficient Neural Network Training via Subset Pretraining
MambaJSCC: Adaptive Deep Joint Source-Channel Coding with Generalized State Space Model
Adaptive Error-Bounded Hierarchical Matrices for Efficient Neural Network Compression
UV-Mamba: A DCN-Enhanced State Space Model for Urban Village Boundary Identification in High-Resolution Remote Sensing Images
Distilling Long-tailed Datasets
Amortized Bayesian Multilevel Models
N-DriverMotion: Driver motion learning and prediction using an event-based camera and directly trained spiking neural networks on Loihi 2
Efficient Area-based and Speaker-Agnostic Source Separation
GNN-Empowered Effective Partial Observation MARL Method for AoI Management in Multi-UAV Network
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