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 3401–3425 of 4891 papers

TitleStatusHype
Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear ProgrammingCode0
Rewarded meta-pruning: Meta Learning with Rewards for Channel PruningCode0
Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield EnergyCode0
Data-Driven Distributionally Robust Scheduling of Community Integrated Energy Systems with Uncertain Renewable Generations Considering Integrated Demand Response—0
Spatially Covariant Lesion Segmentation—0
Logic programming for deliberative robotic task planning—0
Safety Verification of Neural Network Control Systems Using Guaranteed Neural Network Model Reduction—0
An Efficient Approach to the Online Multi-Agent Path Finding Problem by Using Sustainable Information—0
Best Arm Identification in Stochastic Bandits: Beyond β-optimality—0
Topologically Regularized Data EmbeddingsCode0
Constrained Trajectory Optimization on Matrix Lie Groups via Lie-Algebraic Differential Dynamic Programming—0
Machine Learning for Large-Scale Optimization in 6G Wireless Networks—0
Fast Barrier Option Pricing by the COS BEM Method in Heston Model—0
Adaptive Spiral Layers for Efficient 3D Representation Learning on MeshesCode0
Deep Active Contours for Real-time 6-DoF Object Tracking—0
Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation—0
IHNet: Iterative Hierarchical Network Guided by High-Resolution Estimated Information for Scene Flow EstimationCode0
Deep Video Demoireing via Compact Invertible Dyadic Decomposition—0
Optimal scheduling of island integrated energy systems considering multi-uncertainties and hydrothermal simultaneous transmission: A deep reinforcement learning approach—0
Toward Efficient Automated Feature Engineering—0
Learning k-Level Structured Sparse Neural Networks Using Group Envelope Regularization—0
SuperGF: Unifying Local and Global Features for Visual Localization—0
Joint Delay-Phase Precoding Under True-Time Delay Constraints in Wideband Sub-THz Hybrid Massive MIMO Systems—0
Single Cell Training on Architecture Search for Image Denoising—0
Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified