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 4551–4600 of 4891 papers

TitleStatusHype
HSRMamba: Efficient Wavelet Stripe State Space Model for Hyperspectral Image Super-ResolutionCode0
Selection via Proxy: Efficient Data Selection for Deep LearningCode0
Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classificationCode0
Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen BindingCode0
FlowKac: An Efficient Neural Fokker-Planck solver using Temporal Normalizing flows and the Feynman Kac-FormulaCode0
Probabilistic Graph Rewiring via Virtual NodesCode0
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture DesignCode0
Top-k eXtreme Contextual Bandits with Arm HierarchyCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and EnhancementCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Frame Interpolation and EnhancementCode0
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level OptimizationCode0
A Comparative Study of Efficient Initialization Methods for the K-Means Clustering AlgorithmCode0
Domain Adaptable Fine-Tune Distillation Framework For Advancing Farm SurveillanceCode0
Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle PhysicsCode0
Probability Estimation and Scheduling Optimization for Battery Swap Stations via LRU-Enhanced Genetic Algorithm and Dual-Factor Decision SystemCode0
Flover: A Temporal Fusion Framework for Efficient Autoregressive Model Parallel InferenceCode0
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface MeshesCode0
Probing In-Context Learning: Impact of Task Complexity and Model Architecture on Generalization and EfficiencyCode0
Flexible Robust Optimal Bidding of Renewable Virtual Power Plants in Sequential MarketsCode0
Topologically Regularized Data EmbeddingsCode0
Topology of surface electromyogram signals: hand gesture decoding on Riemannian manifoldsCode0
Computing the Feedback Capacity of Finite State Channels using Reinforcement LearningCode0
Linear Periodically Time-Variant Digital PLL Phase Noise Modeling Using Conversion Matrices and Uncorrelated UpsamplingCode0
Self-Learning Exploration and Mapping for Mobile Robots via Deep Reinforcement LearningCode0
ProLFA: Representative Prototype Selection for Local Feature AggregationCode0
DocParseNet: Advanced Semantic Segmentation and OCR Embeddings for Efficient Scanned Document AnnotationCode0
Computational Discovery of Chiasmus in Ancient Religious TextCode0
Deep Coarse-to-fine Dense Light Field Reconstruction with Flexible Sampling and Geometry-aware FusionCode0
Compression with Flows via Local Bits-Back CodingCode0
Fixed-Mean Gaussian Processes for Post-hoc Bayesian Deep LearningCode0
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient NoiseCode0
Self-Organized Polynomial-Time Coordination GraphsCode0
Distribution-Free Predictive Inference For RegressionCode0
FinNet: Solving Time-Independent Differential Equations with Finite Difference Neural NetworkCode0
Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse HypergraphsCode0
Distilling Textual Priors from LLM to Efficient Image FusionCode0
Style Interleaved Learning for Generalizable Person Re-identificationCode0
Auto-nnU-Net: Towards Automated Medical Image SegmentationCode0
Finding Influential Training Samples for Gradient Boosted Decision TreesCode0
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind DeconvolutionCode0
Proteus: Preserving Model Confidentiality during Graph OptimizationsCode0
Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRACode0
Distance Metric Learning for Graph Structured DataCode0
Distance-Based Tree-Sliced Wasserstein DistanceCode0
ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse KinematicsCode0
Federated Hybrid Model Pruning through Loss Landscape ExplorationCode0
A class of modular and flexible covariate-based covariance functions for nonstationary spatial modelingCode0
Self-Supervised State Space Model for Real-Time Traffic Accident Prediction Using eKAN NetworksCode0
When Mamba Meets xLSTM: An Efficient and Precise Method with the xLSTM-VMUNet Model for Skin lesion SegmentationCode0
VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function ApproximationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified