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

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Showing 3851–3900 of 4891 papers

TitleStatusHype
On-edge Multi-task Transfer Learning: Model and Practice with Data-driven Task Allocation—0
Certifiably Robust Interpretation via Renyi Differential Privacy—0
Dispatchable Region for Active Distribution Networks Using Approximate Second-Order Cone Relaxation—0
Learned Global Optimization for Inverse Scattering Problems -- Matching Global Search with Computational Efficiency—0
Computationally efficient spatial rendering of late reverberation in virtual acoustic environments—0
DF-Conformer: Integrated architecture of Conv-TasNet and Conformer using linear complexity self-attention for speech enhancement—0
Domain Adaptation Broad Learning System Based on Locally Linear Embedding—0
Image Classification with CondenseNeXt for ARM-Based Computing PlatformsCode0
Efficient Tensor Contraction via Fast Count Sketch—0
Harmonic Power-Flow Study of Polyphase Grids with Converter-Interfaced Distributed Energy Resources, Part I: Modelling Framework and Algorithm—0
Connection Sensitivity Matters for Training-free DARTS: From Architecture-Level Scoring to Operation-Level Sensitivity Analysis—0
Boundary Graph Neural Networks for 3D SimulationsCode0
Algorithm Unrolling for Massive Access via Deep Neural Network with Theoretical Guarantee—0
Training or Architecture? How to Incorporate Invariance in Neural Networks—0
Pre-Trained Models: Past, Present and Future—0
Precise phase retrieval for propagation-based images using discrete mathematics—0
Quantum Speedup of Natural Gradient for Variational Bayes—0
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks—0
ZoPE: A Fast Optimizer for ReLU Networks with Low-Dimensional Inputs—0
Fast and More Powerful Selective Inference for Sparse High-order Interaction Model—0
End-to-end reconstruction meets data-driven regularization for inverse problemsCode0
Stochastic filtering for multiscale stochastic reaction networks based on hybrid approximationsCode0
Hierarchical Temperature Imaging Using Pseudo-Inversed Convolutional Neural Network Aided TDLAS Tomography—0
Learning Routines for Effective Off-Policy Reinforcement Learning—0
Nonuniform Defocus Removal for Image Classification—0
ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse KinematicsCode0
Gradient Boosted Binary Histogram Ensemble for Large-scale Regression—0
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue SystemsCode0
Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligence—0
Smart Online Charging Algorithm for Electric Vehicles via Customized Actor-Critic Learning—0
A Question of Time: Revisiting the Use of Recursive Filtering for Temporal Calibration of Multisensor Systems—0
Pixel super-resolved lensless on-chip sensor with scattering multiplexing—0
Robust Regularization with Adversarial Labelling of Perturbed Samples—0
TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation—0
Federated Learning for Short-term Residential Load Forecasting—0
One4all User Representation for Recommender Systems in E-commerce—0
Revisiting 2D Convolutional Neural Networks for Graph-based Applications—0
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers—0
Deep learning of transition probability densities for stochastic asset models with applications in option pricing—0
Statistical Optimality and Computational Efficiency of Nyström Kernel PCA—0
Sparse solutions of the kernel herding algorithm by improved gradient approximation—0
An even-load-distribution design for composite bolted joints using a novel circuit model and artificial neural networks—0
Partitioned Active Learning for Heterogeneous Systems—0
Estimation of Parameters for an Archetypal Model of Cardiomyocyte Membrane Potentials—0
Multi-Resolution Data Fusion for Super Resolution ImagingCode0
Deep Unsupervised Hashing by Distilled Smooth Guidance—0
Energy-optimal Design and Control of Electric Vehicles' Transmissions—0
Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization—0
Stability Constrained Mobile Manipulation Planning on Rough Terrain—0
Phase-Space Function Recovery for Moving Target Imaging in SAR by Convex Optimization—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified