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Computational Efficiency

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Methods and optimizations to reduce the computational resources (e.g., time, memory, or power) needed for training and inference in models. This involves techniques that streamline processing, optimize algorithms, or leverage hardware to enhance performance without compromising accuracy.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/CXH-Research/UIR-PolyKernel

공식 코드

Underwater Image Restoration via Polymorphic Large Kernel CNNs

https://github.com/CalayZhou/MBNet

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Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems

https://github.com/CesareDavidePace/poseidon

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Poseidon: A ViT-based Architecture for Multi-Frame Pose Estimation with Adaptive Frame Weighting and Multi-Scale Feature Fusion

https://github.com/Chaoukia/branches

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Branches: Efficiently Seeking Optimal Sparse Decision Trees with AO*

https://github.com/Chen-Cai-OSU/LDP

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A simple yet effective baseline for non-attributed graph classification

https://github.com/Chen861368/Online-Physics-Informed-Dynamic-Mode-Decomposition

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Online Physics-Informed Dynamic Mode Decomposition: Theory and Applications

https://github.com/ChuanqiChenCC/CGKN

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CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data Assimilation

https://github.com/Cimagroup/Experiments-Representative-datasets

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Topology-based Representative Datasets to Reduce Neural Network Training Resources

https://github.com/Claydon-Wang/OFTTA

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Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition

https://github.com/CoAxLab/DeBaCl

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DeBaCl: A Python Package for Interactive DEnsity-BAsed CLustering

https://github.com/CyberAgentAILab/preferentialBO

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Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes

https://github.com/DIAGNijmegen/prostateMR_3D-CAD-csPCa

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End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction

https://github.com/DataDistillation/D2M

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Data-to-Model Distillation: Data-Efficient Learning Framework

https://github.com/DecodEPFL/SSM

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Free Parametrization of L2-bounded State Space Models

https://github.com/Div290/I-SplitEE

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I-SplitEE: Image classification in Split Computing DNNs with Early Exits

https://github.com/Duankaiwen/CPNDet

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Corner Proposal Network for Anchor-free, Two-stage Object Detection

https://github.com/ECNUACRush/H3DE-Net

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H3DE-Net: Efficient and Accurate 3D Landmark Detection in Medical Imaging

https://github.com/EaseOnway/oocdm

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Learning Causal Dynamics Models in Object-Oriented Environments

https://github.com/EdWangLoDaSc/DSOVT

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Dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraint

https://github.com/Ending2015a/liepose-diffusion

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Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)

https://github.com/FMLYD/FTMixer

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FTMixer: Frequency and Time Domain Representations Fusion for Time Series Modeling

https://github.com/FWen/deblur-pmp

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A Simple Local Minimal Intensity Prior and An Improved Algorithm for Blind Image Deblurring

https://github.com/Facebear-ljx/PROTO

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PROTO: Iterative Policy Regularized Offline-to-Online Reinforcement Learning

https://github.com/FilippoMB/Benchmark_dataset_for_graph_classification

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Pyramidal Reservoir Graph Neural Network

https://github.com/FilippoMB/Pyramidal-Reservoir-Graph-Nerual-Networks

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Pyramidal Reservoir Graph Neural Network

https://github.com/FloatFrank/TIPA

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Enhancing Character-Level Understanding in LLMs through Token Internal Structure Learning

https://github.com/ForzaETH/LLMxRobot

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Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models

https://github.com/Fourier7754/AsymFormer

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AsymFormer: Asymmetrical Cross-Modal Representation Learning for Mobile Platform Real-Time RGB-D Semantic Segmentation

https://github.com/FraCorti/Deep_Subnetworks_for_Dynamic_Resource_Constraints

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REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints

https://github.com/FrancescoRegazzoni/cardiac-activation

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Biophysically detailed mathematical models of multiscale cardiac active mechanics

https://github.com/FrankSuperG/CPG-SPMT

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A Control-Oriented Simplified Single Particle Model with Grouped Parameter and Sensitivity Analysis for Lithium-Ion Batteries

https://github.com/Fsoft-AIC/DbTSW

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Distance-Based Tree-Sliced Wasserstein Distance

https://github.com/FurongHuang/Fast-Detection-of-Overlapping-Communities-via-Online-Tensor-Methods

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Online Tensor Methods for Learning Latent Variable Models

https://github.com/GISec-Team/GNNMoE

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Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification

https://github.com/GIWebb/DTWBounds

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Tight lower bounds for Dynamic Time Warping

https://github.com/GabrieleLozupone/LDAE

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Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical Imaging

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