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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/daniegr/EfficientPose

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EfficientPose: Scalable single-person pose estimation

https://github.com/danielement321/fm2s

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FM2S: Towards Spatially-Correlated Noise Modeling in Zero-Shot Fluorescence Microscopy Image Denoising

https://github.com/danmackinlay/genbp

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Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional Systems

https://github.com/danni9594/asmg

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Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems

https://github.com/danrugeles/Heron

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Heron Inference for Bayesian Graphical Models

https://github.com/danyangl6/nn-tli

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Learning Signal Temporal Logic through Neural Network for Interpretable Classification

https://github.com/dataparameters/Ternary-Embedding-Models

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Efficient Ternary Weight Embedding Model: Bridging Scalability and Performance

https://github.com/datexis/comply

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Comply: Learning Sentences with Complex Weights inspired by Fruit Fly Olfaction

https://github.com/davecliff/escg_python

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Never Mind The No-Ops: Faster and Less Volatile Simulation Modelling of Co-Evolutionary Species Interactions via Spatial Cyclic Games

https://github.com/david-knigge/separable-group-convolutional-networks

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Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups

https://github.com/david-stojanovski/EDMLX

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Efficient Semantic Diffusion Architectures for Model Training on Synthetic Echocardiograms

https://github.com/david3684/adarank

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AdaRank: Adaptive Rank Pruning for Enhanced Model Merging

https://github.com/davidfanzz/scmoe

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Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast

https://github.com/davismeee/lightdiff

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LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion

https://github.com/dcgm/softctc

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SoftCTC -- Semi-Supervised Learning for Text Recognition using Soft Pseudo-Labels

https://github.com/dd-duda/bitdecoding

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BitDecoding: Unlocking Tensor Cores for Long-Context LLMs Decoding with Low-Bit KV Cache

https://github.com/dddoh/doubly-stochastic-simulator

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A Doubly Stochastic Simulator with Applications in Arrivals Modeling and Simulation

https://github.com/dearbreeze/reviewkd

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Reducing Capacity Gap in Knowledge Distillation with Review Mechanism for Crowd Counting

https://github.com/dedekinds/neurvec

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On Fast Simulation of Dynamical System with Neural Vector Enhanced Numerical Solver

https://github.com/deel-ai-papers/lip-rcp

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Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks

https://github.com/deepmodeling/DeePTB

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Learning local equivariant representations for quantum operators

https://github.com/dengyu-wu/snncutoff

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Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff

https://github.com/desreslab/synchronization-avoiding-algorithms

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Data-driven synchronization-avoiding algorithms in the explicit distributed structural analysis of soft tissue

https://github.com/dfleis/grf

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Generalized Random Forests using Fixed-Point Trees

https://github.com/dhorasso/smc2-seir-model

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Sequential Monte Carlo Squared for online inference in stochastic epidemic models

https://github.com/dhuseljic/dal-toolbox

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Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image Classification

https://github.com/dianixn/owc-channels

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Robust Channel Estimation for Optical Wireless Communications Using Neural Network

https://github.com/dingchenwei/Likelihood-free_OICA

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Likelihood-Free Overcomplete ICA and Applications in Causal Discovery

https://github.com/dingmyu/davit

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DaViT: Dual Attention Vision Transformers

https://github.com/distributionnetworkstudelft/rl-adn

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RL-ADN: A High-Performance Deep Reinforcement Learning Environment for Optimal Energy Storage Systems Dispatch in Active Distribution Networks

https://github.com/djrumala/lite-fbcn

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Lite-FBCN: Lightweight Fast Bilinear Convolutional Network for Brain Disease Classification from MRI Image

https://github.com/dll-wu/uni-encoder

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Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems

https://github.com/dlyuangod/tinygpt-v

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TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones

https://github.com/dominikalfke/PinvGCN

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Pseudoinverse Graph Convolutional Networks: Fast Filters Tailored for Large Eigengaps of Dense Graphs and Hypergraphs

https://github.com/dongweiye/rom-with-geometry-informed-snapshots

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Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshots

https://github.com/dongwonjo/fastkv

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FastKV: KV Cache Compression for Fast Long-Context Processing with Token-Selective Propagation

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