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 901–925 of 4891 papers

TitleStatusHype
Influence Maximization in Temporal Social Networks with a Cold-Start Problem: A Supervised ApproachCode0
-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite DimensionsCode0
ICLabel: An automated electroencephalographic independent component classifier, dataset, and websiteCode0
A differentiable programming framework for spin modelsCode0
Model Input-Output Configuration Search with Embedded Feature Selection for Sensor Time-series and Image ClassificationCode0
Image Classification with CondenseNeXt for ARM-Based Computing PlatformsCode0
clcNet: Improving the Efficiency of Convolutional Neural Network using Channel Local ConvolutionsCode0
ICE-BA: Incremental, Consistent and Efficient Bundle Adjustment for Visual-Inertial SLAMCode0
Combinatorial Logistic BanditsCode0
Image Super-Resolution Using Dense Skip ConnectionsCode0
Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference AggregationCode0
Hybrid Isolation Forest - Application to Intrusion DetectionCode0
Interpretable Ensembles of Hyper-Rectangles as Base ModelsCode0
Interweaving Insights: High-Order Feature Interaction for Fine-Grained Visual RecognitionCode0
I-SplitEE: Image classification in Split Computing DNNs with Early ExitsCode0
Iterative Approximate Cross-ValidationCode0
Classification of Gleason Grading in Prostate Cancer Histopathology Images Using Deep Learning Techniques: YOLO, Vision Transformers, and Vision MambaCode0
COMMA: Coordinate-aware Modulated Mamba Network for 3D Dispersed Vessel SegmentationCode0
Hybridizing Traditional and Next-Generation Reservoir Computing to Accurately and Efficiently Forecast Dynamical SystemsCode0
HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under UncertaintyCode0
CLAQ: Pushing the Limits of Low-Bit Post-Training Quantization for LLMsCode0
CLAP. I. Resolving miscalibration for deep learning-based galaxy photometric redshift estimationCode0
K^2IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson ProcessesCode0
Compact Convolutional Neural Network Cascade for Face DetectionCode0
HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark DetectionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified