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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/Yxxxb/VoCo-LLaMA

공식 코드

VoCo-LLaMA: Towards Vision Compression with Large Language Models

https://github.com/Zedd1558/TwoStreamSepConvLSTM_ViolenceDetection

공식 코드

Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTM

https://github.com/ZhangJiayi24/KAN_GCN_Traffic

공식 코드

TrafficKAN-GCN: Graph Convolutional-based Kolmogorov-Arnold Network for Traffic Flow Optimization

https://github.com/ZhouFang92/Particle-filters-for-multi-scale-CRNs-v.1

공식 코드

Stochastic filtering for multiscale stochastic reaction networks based on hybrid approximations

https://github.com/ZiTingW/asvp

공식 코드

Feature Alignment: Rethinking Efficient Active Learning via Proxy in the Context of Pre-trained Models

https://github.com/Zongliang-Wu/LADE-DUN

공식 코드

Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging

https://github.com/a-raniy-day/sita

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SITA: Structurally Imperceptible and Transferable Adversarial Attacks for Stylized Image Generation

https://github.com/a-tierz/Local-ThermodynamicsGNN

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Graph neural networks informed locally by thermodynamics

https://github.com/aalanwar/Logical-Zonotope

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Reachability Analysis Using Constrained Polynomial Logical Zonotopes

https://github.com/aayambansal/time-series-prediction

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Temporal Encoding Strategies for Energy Time Series Prediction

https://github.com/abby1712/ViTaL

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ViTaL: An Advanced Framework for Automated Plant Disease Identification in Leaf Images Using Vision Transformers and Linear Projection For Feature Reduction

https://github.com/abdd68/Fair-Vision-Transformer

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FairViT: Fair Vision Transformer via Adaptive Masking

https://github.com/abdelfattah-lab/razer

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The Power of Negative Zero: Datatype Customization for Quantized Large Language Models

https://github.com/abdo-eldesokey/pncnn

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Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End

https://github.com/abhi460729/Action-Duration-with-Contextual-Bandits-for-Deep-Reinforcement-Learning-in-Dynamic-Environments

공식 코드

Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic Environments

https://github.com/abhi460729/GATN

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Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across Domains

https://github.com/abhishekkumarm98/Wafer2Spike

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Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification

https://github.com/acmi-lab/local-causal-discovery

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Local Causal Discovery for Estimating Causal Effects

https://github.com/adhyyannarang/online_bp

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Online SuBmodular + SuPermodular (BP) Maximization with Bandit Feedback

https://github.com/adibaorz/flism

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Federated Learning for Time-Series Healthcare Sensing with Incomplete Modalities

https://github.com/adlith/moe-jetpack

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MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks

https://github.com/adnan-cas/atrouslora

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VesselSAM: Leveraging SAM for Aortic Vessel Segmentation with AtrousLoRA

https://github.com/adzafirov/FREETree

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FREEtree: A Tree-based Approach for High Dimensional Longitudinal Data With Correlated Features

https://github.com/afvillaverde/strike-goldd

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STRIKE-GOLDD 4.0: user-friendly, efficient analysis of structural identifiability and observability

https://github.com/ag2435/npr

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Supervised Kernel Thinning

https://github.com/agao8/STEAD

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STEAD: Spatio-Temporal Efficient Anomaly Detection for Time and Compute Sensitive Applications

https://github.com/agenttorch/agenttorch

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On the limits of agency in agent-based models

https://github.com/ahappyyang/GraphMamba

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GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classification

https://github.com/ahmad-shirazi/DSSRNN

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DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series Analysis

https://github.com/ahmad-shirazi/docparsenet

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DocParseNet: Advanced Semantic Segmentation and OCR Embeddings for Efficient Scanned Document Annotation

https://github.com/ahmedehabb/From-Roots-to-Rewards-Dynamic-Tree-Reasoning-with-RL

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From Roots to Rewards: Dynamic Tree Reasoning with RL

https://github.com/ahmedhumais/e-stmflow

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Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow

https://github.com/ahnobari/ActivationInformedMerging

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Activation-Informed Merging of Large Language Models

https://github.com/ai4co/camp

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CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems

https://github.com/ai4co/parco

공식 코드

Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization

https://github.com/ai4co/rl4co

공식 코드

RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark

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