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Computational Efficiency

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보존된 평가 기록: 1

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/lucaskirsten/mobilemef

공식 코드

MobileMEF: Fast and Efficient Method for Multi-Exposure Fusion

https://github.com/lucasvogels33/large-scale-bsl-for-ggms-using-mpl

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Large-scale Bayesian Structure Learning for Gaussian Graphical Models using Marginal Pseudo-likelihood

https://github.com/ludc506/InternVL-X

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InternVL-X: Advancing and Accelerating InternVL Series with Efficient Visual Token Compression

https://github.com/luisdavid64/Skelite

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Skelite: Compact Neural Networks for Efficient Iterative Skeletonization

https://github.com/luispintoc/unlocking-chemical-insights

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Unlocking Chemical Insights: Superior Molecular Representations from Intermediate Encoder Layers

https://github.com/luka-group/ThinkGuard

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ThinkGuard: Deliberative Slow Thinking Leads to Cautious Guardrails

https://github.com/luojiaqimath/robust-gbdt

공식 코드

Robust-GBDT: GBDT with Nonconvex Loss for Tabular Classification in the Presence of Label Noise and Class Imbalance

https://github.com/lwcver/legnet

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LEGNet: Lightweight Edge-Gaussian Driven Network for Low-Quality Remote Sensing Image Object Detection

https://github.com/lxd99/tpnet

공식 코드

Improving Temporal Link Prediction via Temporal Walk Matrix Projection

https://github.com/lxy-peter/efficientpunct

공식 코드

Efficient Ensemble for Multimodal Punctuation Restoration using Time-Delay Neural Network

https://github.com/lzzzzzm/ii-world

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$I^{2}$-World: Intra-Inter Tokenization for Efficient Dynamic 4D Scene Forecasting

https://github.com/m-ferdaus/kanice

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KANICE: Kolmogorov-Arnold Networks with Interactive Convolutional Elements

https://github.com/m3dv/impulse

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Template-Guided Reconstruction of Pulmonary Segments with Neural Implicit Functions

https://github.com/m3dv/pulmonary-tree-labeling

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Efficient Anatomical Labeling of Pulmonary Tree Structures via Deep Point-Graph Representation-based Implicit Fields

https://github.com/m3dv/ribseg

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RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction

https://github.com/macolominas/SAMD

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Decomposing non-stationary signals with time-varying wave-shape functions

https://github.com/madoibito80/im2sem

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Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning

https://github.com/magics-lab/dnabert_2

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DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome

https://github.com/mahaitongdae/dbo

공식 코드

Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization

https://github.com/mahmad00/MHSSMamba

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Multi-head Spatial-Spectral Mamba for Hyperspectral Image Classification

https://github.com/mahmad00/MorpMamba

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Spatial and Spatial-Spectral Morphological Mamba for Hyperspectral Image Classification

https://github.com/mahmad000/diffformer

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DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification

https://github.com/mahmad000/morpmamba

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Spatial and Spatial-Spectral Morphological Mamba for Hyperspectral Image Classification

https://github.com/mahyarfazlyab/DeepSDP

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Safety Verification and Robustness Analysis of Neural Networks via Quadratic Constraints and Semidefinite Programming

https://github.com/makinyilmaz/dimosr

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DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-Resolution

https://github.com/maksimchup/Markovian-Projection-in-filtering-for-SRNs

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Filtered Markovian Projection: Dimensionality Reduction in Filtering for Stochastic Reaction Networks

https://github.com/malga-vision/fastervideo

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FasterVideo: Efficient Online Joint Object Detection And Tracking

https://github.com/mansoorhayat777/attention-ghostunetplusplus

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Attention GhostUNet++: Enhanced Segmentation of Adipose Tissue and Liver in CT Images

https://github.com/mark-kac-center/fsca

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Using Space-Filling Curves and Fractals to Reveal Spatial and Temporal Patterns in Neuroimaging Data

https://github.com/markomih/VolumetricSMPL

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VolumetricSMPL: A Neural Volumetric Body Model for Efficient Interactions, Contacts, and Collisions

https://github.com/marwanwalid2/reasoning-vs-inferncescaling

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Inference Scaling vs Reasoning: An Empirical Analysis of Compute-Optimal LLM Problem-Solving

https://github.com/mashaan14/Spectral-Clustering

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Refining a $k$-nearest neighbor graph for a computationally efficient spectral clustering

https://github.com/masilab/deform-uxnet

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DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution

https://github.com/masilab/repux-net

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Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation

https://github.com/matciotola/hyperspectral_pansharpening_toolbox

공식 코드

Hyperspectral Pansharpening: Critical Review, Tools and Future Perspectives

https://github.com/mathbiocu/wendy

공식 코드

Direct Estimation of Parameters in ODE Models Using WENDy: Weak-form Estimation of Nonlinear Dynamics

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