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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/KwaiVGI/LivePortrait

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LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control

https://github.com/LLNL/FAST

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Improved Protein-ligand Binding Affinity Prediction with Structure-Based Deep Fusion Inference

https://github.com/LUOyk1999/NodeID

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Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning

https://github.com/LeviLingsch/StructuredMatrixMethod

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Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains

https://github.com/Lightning-AI/lit-gpt

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TinyLlama: An Open-Source Small Language Model

https://github.com/LilianHollard/LeYOLO

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LeYOLO, New Scalable and Efficient CNN Architecture for Object Detection

https://github.com/LincanLi98/STG-Mamba

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STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model

https://github.com/LouisYuxuLu/ERANet

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Real-Time Multi-Scene Visibility Enhancement for Promoting Navigational Safety of Vessels Under Complex Weather Conditions

https://github.com/Luc4Gui/CAVM

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CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI Synthesis

https://github.com/Ludvins/FixedMeanGaussianProcesses

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Fixed-Mean Gaussian Processes for Post-hoc Bayesian Deep Learning

https://github.com/LukasMosser/PorousMediaGan

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Reconstruction of three-dimensional porous media using generative adversarial neural networks

https://github.com/MAGICS-LAB/GERM

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Fast and Low-Cost Genomic Foundation Models via Outlier Removal

https://github.com/MIDA-group/Cell-Detection

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A Comparison of Deep Learning Methods for Cell Detection in Digital Cytology

https://github.com/MIDA-group/inspire

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INSPIRE: Intensity and spatial information-based deformable image registration

https://github.com/MIT-SPARK/Kimera

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Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping

https://github.com/MKFMIKU/SDAN

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SDAN: Squared Deformable Alignment Network for Learning Misaligned Optical Zoom

https://github.com/MLD3/OfflineRL_ModelSelection

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Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings

https://github.com/MLEnthusiast/MHCLN

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Metric-Learning based Deep Hashing Network for Content Based Retrieval of Remote Sensing Images

https://github.com/MLIUB/PURE

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Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation

https://github.com/MPC-Berkeley/hmpc_raidnet

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Scalable Multi-modal Model Predictive Control via Duality-based Interaction Predictions

https://github.com/MattAshman/sgpvae

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Sparse Gaussian Process Variational Autoencoders

https://github.com/MatteoTomasetto/SHRED-ROM

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Reduced Order Modeling with Shallow Recurrent Decoder Networks

https://github.com/McGill-DMaS/Incremental-LLM-Training

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On the Effectiveness of Incremental Training of Large Language Models

https://github.com/MehediCSERUET/Implementation-of-TaLU-activation-function

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TaLU: A Hybrid Activation Function Combining Tanh and Rectified Linear Unit to Enhance Neural Networks

https://github.com/MilanShao/ModeConv

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ModeConv: A Novel Convolution for Distinguishing Anomalous and Normal Structural Behavior

https://github.com/Muhammad-Huzaifaa/Defensive_Diffusion

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On enhancing the robustness of Vision Transformers: Defensive Diffusion

https://github.com/MungoMeng/Image-Registration-AAN

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Enhancing Medical Image Registration via Appearance Adjustment Networks

https://github.com/MzeroMiko/vHeat

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vHeat: Building Vision Models upon Heat Conduction

https://github.com/NVIDIA/Star-Attention

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Star Attention: Efficient LLM Inference over Long Sequences

https://github.com/NVlabs/eg3d

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Efficient Geometry-aware 3D Generative Adversarial Networks

https://github.com/Netflix/vmaf

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SpatioTemporal Feature Integration and Model Fusion for Full Reference Video Quality Assessment

https://github.com/NevSNev/UniST

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Two Birds, One Stone: A Unified Framework for Joint Learning of Image and Video Style Transfers

https://github.com/Newbeeer/Anytime-Auto-Regressive-Model

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Anytime Sampling for Autoregressive Models via Ordered Autoencoding

https://github.com/NickWilkinson37/voxseg

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A Hybrid CNN-BiLSTM Voice Activity Detector

https://github.com/NiklasFreymuth/AMBER

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AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction

https://github.com/Nixtla/neuralforecast

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Hierarchically Coherent Multivariate Mixture Networks

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