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 4201–4250 of 4891 papers

TitleStatusHype
Efficient Ensemble for Multimodal Punctuation Restoration using Time-Delay Neural NetworkCode0
HMPNet: A Feature Aggregation Architecture for Maritime Object Detection from a Shipborne PerspectiveCode0
Langevin DQNCode0
OpenRANet: Neuralized Spectrum Access by Joint Subcarrier and Power Allocation with Optimization-based Deep LearningCode0
Biomimetic Frontend for Differentiable Audio ProcessingCode0
A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative HypotensionCode0
Large-scale Bayesian Structure Learning for Gaussian Graphical Models using Marginal Pseudo-likelihoodCode0
Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion ModelsCode0
Road surface 3d reconstruction based on dense subpixel disparity map estimationCode0
LArctan-SKAN: Simple and Efficient Single-Parameterized Kolmogorov-Arnold Networks using Learnable Trigonometric FunctionCode0
Large Language Model Can Be a Foundation for Hidden Rationale-Based RetrievalCode0
Large Language Model Evaluation via Matrix Nuclear-NormCode0
Operational Support Estimator NetworksCode0
Large-Scale Kernel Methods for Independence TestingCode0
High Dimensional Bayesian Optimization using Lasso Variable SelectionCode0
High Dimensional Bayesian Optimization Assisted by Principal Component AnalysisCode0
Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier SeriesCode0
Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer EvaluationsCode0
Lasso Regularization Paths for NARMAX Models via Coordinate DescentCode0
AlphaAdam:Asynchronous Masked Optimization with Dynamic Alpha for Selective UpdatesCode0
Binary Stereo MatchingCode0
LatentArtiFusion: An Effective and Efficient Histological Artifacts Restoration FrameworkCode0
Optimal Batched Linear BanditsCode0
Hierarchical Variational ModelsCode0
Hierarchical Document Parsing via Large Margin Feature Matching and HeuristicsCode0
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components AnalysisCode0
Heron Inference for Bayesian Graphical ModelsCode0
HDMba: Hyperspectral Remote Sensing Imagery Dehazing with State Space ModelCode0
Latent Similarity Identifies Important Functional Connections for Phenotype PredictionCode0
Optimal Brain ApoptosisCode0
Robust and Fast Measure of Information via Low-rank RepresentationCode0
Data-based stochastic modeling reveals sources of activity bursts in single-cell TGF-β signalingCode0
Robust Channel Estimation for Optical Wireless Communications Using Neural NetworkCode0
HDKD: Hybrid Data-Efficient Knowledge Distillation Network for Medical Image ClassificationCode0
Robust Clustering on High-Dimensional Data with Stochastic QuantizationCode0
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformersCode0
Spherical CNNsCode0
A Low-complexity Structured Neural Network to Realize States of Dynamical SystemsCode0
HDiffTG: A Lightweight Hybrid Diffusion-Transformer-GCN Architecture for 3D Human Pose EstimationCode0
Action Recognition Using Temporal Shift Module and Ensemble LearningCode0
Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS DemosaicingCode0
Learnable Digital Twin for Efficient Wireless Network EvaluationCode0
CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox DetectorCode0
Hard constraint learning approaches with trainable influence functions for evolutionary equationsCode0
Robust Graph Neural Networks using Weighted Graph LaplacianCode0
Action Recognition in Real-World Ambient Assisted Living EnvironmentCode0
Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual PersistenceCode0
Learning a Mini-batch Graph Transformer via Two-stage Interaction AugmentationCode0
HAND: Hierarchical Attention Network for Multi-Scale Handwritten Document Recognition and Layout AnalysisCode0
Learning a Neural 3D Texture Space from 2D ExemplarsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified