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 2301–2325 of 4891 papers

TitleStatusHype
Efficient Object-centric Representation Learning with Pre-trained Geometric Prior—0
γ-Net: Superresolving SAR Tomographic Inversion via Deep Learning—0
An Efficient Machine-Learning Approach for PDF Tabulation in Turbulent Combustion Closure—0
Efficient N:M Sparse DNN Training Using Algorithm, Architecture, and Dataflow Co-Design—0
Efficient Neural Ranking using Forward Indexes and Lightweight Encoders—0
Body Transformer: Leveraging Robot Embodiment for Policy Learning—0
An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks—0
Efficient Network Traffic Feature Sets for IoT Intrusion Detection—0
Block building programming for symbolic regression—0
Breast Cancer Histopathology Classification using CBAM-EfficientNetV2 with Transfer Learning—0
Efficient n-body simulations using physics informed graph neural networks—0
BlobCtrl: A Unified and Flexible Framework for Element-level Image Generation and Editing—0
Efficient Multi-Task Inferencing: Model Merging with Gromov-Wasserstein Feature Alignment—0
Efficient MPC for Emergency Evasive Maneuvers, Part I: Hybridization of the Nonlinear Problem—0
Blaze3DM: Marry Triplane Representation with Diffusion for 3D Medical Inverse Problem Solving—0
An Efficient Hierarchical Preconditioner-Learner Architecture for Reconstructing Multi-scale Basis Functions of High-dimensional Subsurface Fluid Flow—0
Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning—0
Efficient MPC for Emergency Evasive Maneuvers, Part II: Comparative Assessment for Hybrid Control—0
Black-box Optimization with Simultaneous Statistical Inference for Optimal Performance—0
Efficient Model Agnostic Approach for Implicit Neural Representation Based Arbitrary-Scale Image Super-Resolution—0
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation—0
Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields—0
An Efficient FPGA Accelerator for Point Cloud—0
Efficient Malware Detection with Optimized Learning on High-Dimensional Features—0
Efficiently Predicting Protein Stability Changes Upon Single-point Mutation with Large Language Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified