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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/rssalessio/tzddpc

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Tube-Based Zonotopic Data-Driven Predictive Control

https://github.com/ruirangerfan/road_surface_3d_reconstruction_datasets

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Road surface 3d reconstruction based on dense subpixel disparity map estimation

https://github.com/ruiyum/stone

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STONE: A Submodular Optimization Framework for Active 3D Object Detection

https://github.com/ryantibs/conformal

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Distribution-Free Predictive Inference For Regression

https://github.com/rycolab/parsing-as-tagging

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Hexatagging: Projective Dependency Parsing as Tagging

https://github.com/sachitkuhar/plum

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PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off

https://github.com/safwennaimi/representation-learning-for-skeleton-action-recognition-with-convolutional-transformers-and-byol

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ReL-SAR: Representation Learning for Skeleton Action Recognition with Convolutional Transformers and BYOL

https://github.com/sailorbrandon/gt-bmpc

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Automated Lane Merging via Game Theory and Branch Model Predictive Control

https://github.com/sair-lab/SeqACE

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Enhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential Information

https://github.com/salcc/QuantumTransformers

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Quantum Vision Transformers for Quark-Gluon Classification

https://github.com/salim-lysiun/arnn

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ARNN: Attentive Recurrent Neural Network for Multi-channel EEG Signals to Identify Epileptic Seizures

https://github.com/salmane-s9/bistatic_isac

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Complex Neural Network based Joint AoA and AoD Estimation for Bistatic ISAC

https://github.com/samblouir/birdie

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Birdie: Advancing State Space Models with Reward-Driven Objectives and Curricula

https://github.com/samduffield/abile

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A State-Space Perspective on Modelling and Inference for Online Skill Rating

https://github.com/sampolk/MultiscaleDiffusionClustering

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A Multiscale Environment for Learning by Diffusion

https://github.com/samuelyu2002/ImVisible

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LYTNet: A Convolutional Neural Network for Real-Time Pedestrian Traffic Lights and Zebra Crossing Recognition for the Visually Impaired

https://github.com/sandylaker/ib-edl

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Calibrating LLMs with Information-Theoretic Evidential Deep Learning

https://github.com/saritas-lab/FD-Net

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FD-Net: An Unsupervised Deep Forward-Distortion Model for Susceptibility Artifact Correction in EPI

https://github.com/sarodyatawatta/flagpol

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Energy and polarization based on-line interference mitigation in radio interferometry

https://github.com/sashakolpakov/dire-jax

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DiRe-JAX: A JAX based Dimensionality Reduction Algorithm for Large-scale Data

https://github.com/scabini/VORTEX

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VORTEX: Challenging CNNs at Texture Recognition by using Vision Transformers with Orderless and Randomized Token Encodings

https://github.com/scaomath/torch-cfd

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Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows

https://github.com/scope-lab/pyest

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Nonlinearity and Uncertainty Informed Moment-Matching Gaussian Mixture Splitting

https://github.com/scylj1/FDAPT

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FDAPT: Federated Domain-adaptive Pre-training for Language Models

https://github.com/sebiwtt/OML-AD

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OML-AD: Online Machine Learning for Anomaly Detection in Time Series Data

https://github.com/seeker98/crwkv

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Multi-View Learning with Context-Guided Receptance for Image Denoising

https://github.com/sergeykramp/mthesis-bigbird-embeddings

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Native Language Identification with Big Bird Embeddings

https://github.com/sergio20f/part_stoch_inf_deep

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Partially Stochastic Infinitely Deep Bayesian Neural Networks

https://github.com/shallowdream204/lora-ir

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LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration

https://github.com/shannonai/mrc-srl

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An MRC Framework for Semantic Role Labeling

https://github.com/shengrenhou/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/shenqianli/fg2u

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Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization

https://github.com/shenzheng2000/pointnorm-for-point-cloud-analysis

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PointNorm: Dual Normalization is All You Need for Point Cloud Analysis

https://github.com/shi27feng/transformers.satisfy

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Transformer-based Machine Learning for Fast SAT Solvers and Logic Synthesis

https://github.com/shigen-stoneroot/comma

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COMMA: Coordinate-aware Modulated Mamba Network for 3D Dispersed Vessel Segmentation

https://github.com/shimazaki/pnlss

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A projected nonlinear state-space model for forecasting time series signals

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