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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/clausy9/bmtnet

공식 코드

Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS Demosaicing

https://github.com/clbonet/Sliced-Wasserstein_on_Symmetric_Positive_Definite_Matrices

공식 코드

Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals

https://github.com/clbonet/Slicing_Unbalanced_Optimal_Transport

공식 코드

Slicing Unbalanced Optimal Transport

https://github.com/clbonet/spdsw

공식 코드

Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals

https://github.com/clinicaldatascience/tucker-cnn

공식 코드

Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition

https://github.com/clsframework/cross-language-soccer-framework

공식 코드

Cross Language Soccer Framework: An Open Source Framework for the RoboCup 2D Soccer Simulation

https://github.com/clsframework/soccer-simulation-proxy

공식 코드

Cross Language Soccer Framework: An Open Source Framework for the RoboCup 2D Soccer Simulation

https://github.com/cmazzaanthony/ccgowl

공식 코드

Learning Gaussian Graphical Models with Ordered Weighted L1 Regularization

https://github.com/cocofeat/devis

공식 코드

Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty

https://github.com/cocofeat/umis

공식 코드

Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty

https://github.com/codermillat/StudyAbroadGPT

공식 코드

A LoRA-Based Approach to Fine-Tuning LLMs for Educational Guidance in Resource-Constrained Settings

https://github.com/combi2k2/mg-turbulent-flow

공식 코드

Neural Multigrid Memory For Computational Fluid Dynamics

https://github.com/comp-int-hum/literary-translation

공식 코드

Computational Discovery of Chiasmus in Ancient Religious Text

https://github.com/compspi/cryoai

공식 코드

CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images

https://github.com/conlain-k/RLN_elasticity

공식 코드

Recurrent Localization Networks applied to the Lippmann-Schwinger Equation

https://github.com/contrastive/freevideollm

공식 코드

Free Video-LLM: Prompt-guided Visual Perception for Efficient Training-free Video LLMs

https://github.com/convergedmachine/Cross-D-Conv

공식 코드

Cross-D Conv: Cross-Dimensional Transferable Knowledge Base via Fourier Shifting Operation

https://github.com/convexsoft/openranet

공식 코드

OpenRANet: Neuralized Spectrum Access by Joint Subcarrier and Power Allocation with Optimization-based Deep Learning

https://github.com/cranial-xix/famo

공식 코드

FAMO: Fast Adaptive Multitask Optimization

https://github.com/cripac-dig/destine

공식 코드

Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction

https://github.com/criteo-research/efficient-kernel-ucb

공식 코드

Efficient Kernel UCB for Contextual Bandits

https://github.com/criteo-research/logistic_bandit

공식 코드

Jointly Efficient and Optimal Algorithms for Logistic Bandits

https://github.com/cs1160701/onlearningthekernel

공식 코드

On Learning the Transformer Kernel

https://github.com/cscvlab/sks-homography

공식 코드

Fast and Interpretable 2D Homography Decomposition: Similarity-Kernel-Similarity and Affine-Core-Affine Transformations

https://github.com/csdlpsu/qpots

공식 코드

qPOTS: Efficient batch multiobjective Bayesian optimization via Pareto optimal Thompson sampling

https://github.com/csguoh/mambair

공식 코드

MambaIRv2: Attentive State Space Restoration

https://github.com/csjtx1021/neural_ode_processes_for_network_dynamics-master

공식 코드

Learning Continuous Network Emerging Dynamics from Scarce Observations via Data-Adaptive Stochastic Processes

https://github.com/cszcwu/gkmnet

공식 코드

Gaussian Kernel Mixture Network for Single Image Defocus Deblurring

https://github.com/cu-uq/bi-fidelity-vae

공식 코드

Bi-fidelity Variational Auto-encoder for Uncertainty Quantification

https://github.com/cuc-chen/kan4iqa

공식 코드

Taylor expansion-based Kolmogorov-Arnold network for blind image quality assessment

https://github.com/cuhk-aim-group/monosplat

공식 코드

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models

https://github.com/cyb08/mambaclinix-pytorch

공식 코드

MambaClinix: Hierarchical Gated Convolution and Mamba-Based U-Net for Enhanced 3D Medical Image Segmentation

https://github.com/cynricfu/mecch

공식 코드

MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks

https://github.com/d-robotics-ai-lab/dosod

공식 코드

A Light-Weight Framework for Open-Set Object Detection with Decoupled Feature Alignment in Joint Space

https://github.com/daeheepark/t4p

공식 코드

T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory

https://github.com/daizhongxiang/Federated_Bayesian_Optimization

공식 코드

Federated Bayesian Optimization via Thompson Sampling

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