SOTAVerified

Computational Efficiency

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.

Papers

Showing 11011150 of 4891 papers

TitleStatusHype
Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network0
Certifiably Robust Interpretation via Renyi Differential Privacy0
Cerebral cortical communication overshadows computational energy-use, but these combine to predict synapse number0
A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis0
Joint Location and Velocity Estimation and Fundamental CRLB Analysis for Cell-Free MIMO-ISAC0
A New Statistical Framework for Genetic Pleiotropic Analysis of High Dimensional Phenotype Data0
Accurate Hand Keypoint Localization on Mobile Devices0
CD-ROM: Complemented Deep-Reduced Order Model0
CCSNet: a deep learning modeling suite for CO_2 storage0
A new robust feature selection method using variance-based sensitivity analysis0
A New Proof for the Linear Filtering and Smoothing Equations, and Asymptotic Expansion of Nonlinear Filtering0
CCDSReFormer: Traffic Flow Prediction with a Criss-Crossed Dual-Stream Enhanced Rectified Transformer Model0
A Deep-Genetic Algorithm (Deep-GA) Approach for High-Dimensional Nonlinear Parabolic Partial Differential Equations0
Accurate and scalable exchange-correlation with deep learning0
CausalX: Causal Explanations and Block Multilinear Factor Analysis0
A New Parallel Adaptive Clustering and its Application to Streaming Data0
Causal Inference based Transfer Learning with LLMs: An Efficient Framework for Industrial RUL Prediction0
Causal Generative Domain Adaptation Networks0
A new graph-based surrogate model for rapid prediction of crashworthiness performance of vehicle panel components0
A Deeper Look at 3D Shape Classifiers0
Dissecting Physics Reasoning in Small Language Models: A Multi-Dimensional Analysis from an Educational Perspective0
Distilling Diversity and Control in Diffusion Models0
Distributed Consensus Optimization with Consensus ALADIN0
DLCM: a versatile multi-level solver for heterogeneous multicellular systems0
A deep convolutional neural network model for rapid prediction of fluvial flood inundation0
CATP: Cross-Attention Token Pruning for Accuracy Preserved Multimodal Model Inference0
Accumulations of Projections--A Unified Framework for Random Sketches in Kernel Ridge Regression0
CAT: A Conditional Adaptation Tailor for Efficient and Effective Instance-Specific Pansharpening on Real-World Data0
CaseEdit: Enhancing Localized Commonsense Reasoning via Null-Space Constrained Knowledge Editing in Small Parameter Language Models0
A NEW BACKBONE FOR HYPERSPECTRAL IMAGE RECONSTRUCTION0
Discriminative Optimization: Theory and Applications to Point Cloud Registration0
CARROT: A Cost Aware Rate Optimal Router0
Careful Seeding for k-Medois Clustering with Incremental k-Means++ Initialization0
Carbon-Aware Computing for Data Centers with Probabilistic Performance Guarantees0
An even-load-distribution design for composite bolted joints using a novel circuit model and artificial neural networks0
A Non-Parametric Bootstrap for Spectral Clustering0
Discriminative Optimization: Theory and Applications to Computer Vision Problems0
Discriminative Shape From Shading in Uncalibrated Illumination0
Can pruning make Large Language Models more efficient?0
Canonical Bayesian Linear System Identification0
A Neural Network Subgrid Model of the Early Stages of Planet Formation0
Balancing Privacy, Robustness, and Efficiency in Machine Learning0
Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?0
An Enhancement of Jiang, Z., et al.s Compression-Based Classification Algorithm Applied to News Article Categorization0
Mitigating the Impact of Noisy Edges on Graph-Based Algorithms via Adversarial Robustness Evaluation0
Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging0
Cancer-Net PCa-Seg: Benchmarking Deep Learning Models for Prostate Cancer Segmentation Using Synthetic Correlated Diffusion Imaging0
An Enhancement of CNN Algorithm for Rice Leaf Disease Image Classification in Mobile Applications0
CAM-NET: An AI Model for Whole Atmosphere with Thermosphere and Ionosphere Extension0
Addressing Delayed Feedback in Conversion Rate Prediction via Influence Functions0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified