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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/ayman-elgharabawy/PNN

공식 코드

Preference Neural Network

https://github.com/azadsaeed/ecogen-ccd

공식 코드

A general framework for supporting economic feasibility of generator and storage energy systems through capacity and dispatch optimization

https://github.com/b-faye/lightmdetr

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A Lightweight Modular Framework for Low-Cost Open-Vocabulary Object Detection Training

https://github.com/baekjin-kim/NonstationaryLB

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Randomized Exploration for Non-Stationary Stochastic Linear Bandits

https://github.com/baithebest/adagp

공식 코드

SparseLLM: Towards Global Pruning for Pre-trained Language Models

https://github.com/baithebest/sparsellm

공식 코드

SparseLLM: Towards Global Pruning for Pre-trained Language Models

https://github.com/baofff/Extended-Analytic-DPM

공식 코드

Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models

https://github.com/barahona-research-group/streitberg-interaction

공식 코드

Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions

https://github.com/basf/mamba-tabular

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On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning

https://github.com/bbahtiri/viscoelastic_viscoplastic_model

공식 코드

A machine learning-based viscoelastic-viscoplastic model for epoxy nanocomposites with moisture content

https://github.com/bcgsc/ntlink

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ntLink: a toolkit for de novo genome assembly scaffolding and mapping using long reads

https://github.com/bcjaeger/aorsf

공식 코드

Accelerated and interpretable oblique random survival forests

https://github.com/beamandrew/BNN

공식 코드

Bayesian Neural Networks for Genetic Association Studies of Complex Disease

https://github.com/belakaria/MESMO

공식 코드

Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization

https://github.com/belakaria/MESMOC

공식 코드

Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization

https://github.com/belakaria/imoca

공식 코드

Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization

https://github.com/belakaria/mf-osemo

공식 코드

Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization

https://github.com/ben-hawks/pytorch-jet-classify

공식 코드

Ps and Qs: Quantization-aware pruning for efficient low latency neural network inference

https://github.com/benedekrozemberczki/diff2vec

공식 코드

Fast Sequence-Based Embedding with Diffusion Graphs

https://github.com/bfly123/deepoly

공식 코드

DeePoly: A High-Order Accuracy Scientific Machine Learning Framework for Function Approximation and Solving PDEs

https://github.com/bfs18/rfwave

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RFWave: Multi-band Rectified Flow for Audio Waveform Reconstruction

https://github.com/bharat-runwal/rwl-gnn

공식 코드

Robust Graph Neural Networks using Weighted Graph Laplacian

https://github.com/bigai-nlco/lstp-chat

공식 코드

Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding Bridge

https://github.com/bigai-nlco/rulereasoner

공식 코드

RuleReasoner: Reinforced Rule-based Reasoning via Domain-aware Dynamic Sampling

https://github.com/bigai-nlco/videotgb

공식 코드

Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding Bridge

https://github.com/billpsomas/efficient-probing

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Attention, Please! Revisiting Attentive Probing for Masked Image Modeling

https://github.com/bingyuan-zhang/tgcc

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Tree-Guided $L_1$-Convex Clustering

https://github.com/bingyuan-zhang/tgcc_simulation_code

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Tree-Guided $L_1$-Convex Clustering

https://github.com/binjie-qin/msrpca-pbnet

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Working memory inspired hierarchical video decomposition with transformative representations

https://github.com/biomedia-mbzuai/dynammo

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DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning for Medical Images

https://github.com/bjmch/MRVSR

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Stable Long-Term Recurrent Video Super-Resolution

https://github.com/blackfeather-wang/AdaFocus

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Adaptive Focus for Efficient Video Recognition

https://github.com/blackfeather-wang/Dynamic-Vision-Transformer

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Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition

https://github.com/blackfeather-wang/GFNet-Pytorch

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Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification

https://github.com/blackfeather-wang/dynamic-vision-transformer-mindspore

공식 코드

Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition

https://github.com/blasif/cocons

공식 코드

A class of modular and flexible covariate-based covariance functions for nonstationary spatial modeling

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.