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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1126–1150 of 4891 papers

TitleStatusHype
CATP: Cross-Attention Token Pruning for Accuracy Preserved Multimodal Model Inference—0
Accumulations of Projections--A Unified Framework for Random Sketches in Kernel Ridge Regression—0
CAT: A Conditional Adaptation Tailor for Efficient and Effective Instance-Specific Pansharpening on Real-World Data—0
CaseEdit: Enhancing Localized Commonsense Reasoning via Null-Space Constrained Knowledge Editing in Small Parameter Language Models—0
A NEW BACKBONE FOR HYPERSPECTRAL IMAGE RECONSTRUCTION—0
Discriminative Optimization: Theory and Applications to Point Cloud Registration—0
CARROT: A Cost Aware Rate Optimal Router—0
Careful Seeding for k-Medois Clustering with Incremental k-Means++ Initialization—0
Carbon-Aware Computing for Data Centers with Probabilistic Performance Guarantees—0
An even-load-distribution design for composite bolted joints using a novel circuit model and artificial neural networks—0
A Non-Parametric Bootstrap for Spectral Clustering—0
Discriminative Optimization: Theory and Applications to Computer Vision Problems—0
Discriminative Shape From Shading in Uncalibrated Illumination—0
Can pruning make Large Language Models more efficient?—0
Canonical Bayesian Linear System Identification—0
A Neural Network Subgrid Model of the Early Stages of Planet Formation—0
Balancing Privacy, Robustness, and Efficiency in Machine Learning—0
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 Categorization—0
Mitigating the Impact of Noisy Edges on Graph-Based Algorithms via Adversarial Robustness Evaluation—0
Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging—0
Cancer-Net PCa-Seg: Benchmarking Deep Learning Models for Prostate Cancer Segmentation Using Synthetic Correlated Diffusion Imaging—0
An Enhancement of CNN Algorithm for Rice Leaf Disease Image Classification in Mobile Applications—0
CAM-NET: An AI Model for Whole Atmosphere with Thermosphere and Ionosphere Extension—0
Addressing Delayed Feedback in Conversion Rate Prediction via Influence Functions—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified