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 3101–3150 of 4891 papers

TitleStatusHype
Truthful Transaction Protocol for E-Commerce Networks Based on Double Auction—0
TSFormer: A Robust Framework for Efficient UHD Image Restoration—0
Tukey Depth Mechanisms for Practical Private Mean Estimation—0
Tumor-Centered Patching for Enhanced Medical Image Segmentation—0
TumorGen: Boundary-Aware Tumor-Mask Synthesis with Rectified Flow Matching—0
Tumor segmentation on whole slide images: training or prompting?—0
TurboAttention: Efficient Attention Approximation For High Throughputs LLMs—0
TurboViT: Generating Fast Vision Transformers via Generative Architecture Search—0
Turn Waste into Worth: Rectifying Top-k Router of MoE—0
Two-Bit Networks for Deep Learning on Resource-Constrained Embedded Devices—0
Two for the Price of One: Integrating Large Language Models to Learn Biophysical Interactions—0
TxSim:Modeling Training of Deep Neural Networks on Resistive Crossbar Systems—0
U2-Former: A Nested U-shaped Transformer for Image Restoration—0
UDiTQC: U-Net-Style Diffusion Transformer for Quantum Circuit Synthesis—0
UHD Image Dehazing via anDehazeFormer with Atmospheric-aware KV Cache—0
UKAN: Unbound Kolmogorov-Arnold Network Accompanied with Accelerated Library—0
Ultra Fast Speech Separation Model with Teacher Student Learning—0
UltraGauss: Ultrafast Gaussian Reconstruction of 3D Ultrasound Volumes—0
UltraLightSqueezeNet: A Deep Learning Architecture for Malaria Classification with up to 54x fewer trainable parameters for resource constrained devices—0
UltraPixel: Advancing Ultra-High-Resolution Image Synthesis to New Peaks—0
Bias-Reduced Neural Networks for Parameter Estimation in Quantitative MRI—0
Uncertainty-enabled machine learning for emulation of regional sea-level change caused by the Antarctic Ice Sheet—0
Surrogate uncertainty estimation for your time series forecasting black-box: learn when to trust—0
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey—0
Uncertainty quantification and inverse modeling for subsurface flow in 3D heterogeneous formations using a theory-guided convolutional encoder-decoder network—0
Uncertainty Quantification in Portfolio Temperature Alignment—0
Uncertainty Quantification in Seismic Inversion Through Integrated Importance Sampling and Ensemble Methods—0
Uncertainty Surrogates for Deep Learning—0
Unconditional Stability Analysis of N-Port Networks Based on Structured Singular Value Computation—0
Understanding and Optimizing the Performance of Distributed Machine Learning Applications on Apache Spark—0
Understanding Neural Architecture Search Techniques—0
Understanding symmetries in deep networks—0
Understanding the Functional Roles of Modelling Components in Spiking Neural Networks—0
Understanding the Variance Collapse of SVGD in High Dimensions—0
U-NetMN and SegNetMN: Modified U-Net and SegNet models for bimodal SAR image segmentation—0
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation—0
Unified Task and Motion Planning using Object-centric Abstractions of Motion Constraints—0
Unifying Homophily and Heterophily Network Transformation via Motifs—0
Universal-2-TF: Robust All-Neural Text Formatting for ASR—0
Universalizing Weak Supervision—0
Universal on-chip polarization handling with deep photonic networks—0
UniViTAR: Unified Vision Transformer with Native Resolution—0
Unlocking Parameter-Efficient Fine-Tuning for Low-Resource Language Translation—0
Unlocking the Potential of Similarity Matching: Scalability, Supervision and Pre-training—0
Unseen Entity Handling in Complex Question Answering over Knowledge Base via Language Generation—0
Unsupervised Learning: Comparative Analysis of Clustering Techniques on High-Dimensional Data—0
Unsupervised/Semi-supervised Deep Learning for Low-dose CT Enhancement—0
Unsupervised Synchrony Discovery in Human Interaction—0
Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations—0
UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified