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 41764200 of 4891 papers

TitleStatusHype
Hybrid Inexact BCD for Coupled Structured Matrix Factorization in Hyperspectral Super-ResolutionCode0
RILQ: Rank-Insensitive LoRA-based Quantization Error Compensation for Boosting 2-bit Large Language Model AccuracyCode0
BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image AnalysisCode0
A simple yet effective baseline for non-attributed graph classificationCode0
KernelDNA: Dynamic Kernel Sharing via Decoupled Naive AdaptersCode0
Kernel Heterogeneity Improves Sparseness of Natural Images RepresentationsCode0
Kernel Manifold AlignmentCode0
Efficient Kernel UCB for Contextual BanditsCode0
AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution PredictionCode0
Efficient Human Pose Estimation: Leveraging Advanced Techniques with MediaPipeCode0
HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark DetectionCode0
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical ModelsCode0
SpectralKAN: Kolmogorov-Arnold Network for Hyperspectral Images Change DetectionCode0
HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge DistillationCode0
Data-driven synchronization-avoiding algorithms in the explicit distributed structural analysis of soft tissueCode0
Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshotsCode0
Knowledge Distillation by On-the-Fly Native EnsembleCode0
ZeRO-Offload: Democratizing Billion-Scale Model TrainingCode0
On the Steady-State Distributionally Robust Kalman FilterCode0
Efficient Global Multi-object Tracking Under Minimum-cost Circulation FrameworkCode0
Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health RecordsCode0
P-Hologen: An End-to-End Generative Framework for Phase-Only HologramsCode0
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components AnalysisCode0
Efficient Explorative Key-term Selection Strategies for Conversational Contextual BanditsCode0
Biophysically detailed mathematical models of multiscale cardiac active mechanicsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified