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 2726–2750 of 4891 papers

TitleStatusHype
Sequence Training of DNN Acoustic Models With Natural Gradient—0
Sequential Optimization for Efficient High-Quality Object Proposal Generation—0
Sequential Randomized Matrix Factorization for Gaussian Processes: Efficient Predictions and Hyper-parameter Optimization—0
Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning—0
Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model—0
SeTformer is What You Need for Vision and Language—0
SEvoBench : A C++ Framework For Evolutionary Single-Objective Optimization Benchmarking—0
Sewer Image Super-Resolution with Depth Priors and Its Lightweight Network—0
SF^2Bench: Evaluating Data-Driven Models for Compound Flood Forecasting in South Florida—0
SGMM: Stochastic Approximation to Generalized Method of Moments—0
SG-Splatting: Accelerating 3D Gaussian Splatting with Spherical Gaussians—0
Shallow Network Based on Depthwise Over-Parameterized Convolution for Hyperspectral Image Classification—0
Shallow Signed Distance Functions for Kinematic Collision Bodies—0
Shapley Value Methods for Attribution Modeling in Online Advertising—0
Shortcut Matrix Product States and its applications—0
Shortcut-V2V: Compression Framework for Video-to-Video Translation based on Temporal Redundancy Reduction—0
Short-Term Load Forecasting Using A Particle-Swarm Optimized Multi-Head Attention-Augmented CNN-LSTM Network—0
Shrinkage Fields for Effective Image Restoration—0
Shuffle Vision Transformer: Lightweight, Fast and Efficient Recognition of Driver Facial Expression—0
Signal Alignment for Humanoid Skeletons via the Globally Optimal Reparameterization Algorithm—0
SigScatNet: A Siamese + Scattering based Deep Learning Approach for Signature Forgery Detection and Similarity Assessment—0
Similarity Search for Efficient Active Learning and Search of Rare Concepts—0
Simple and Effective Specialized Representations for Fair Classifiers—0
Simple is better: Making Decision Trees faster using random sampling—0
Simple, Robust and Optimal Ranking from Pairwise Comparisons—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified