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 3251–3300 of 4891 papers

TitleStatusHype
AI Safety in Practice: Enhancing Adversarial Robustness in Multimodal Image Captioning—0
SHA-CNN: Scalable Hierarchical Aware Convolutional Neural Network for Edge AI—0
High Performance Im2win and Direct Convolutions using Three Tensor Layouts on SIMD Architectures—0
GNN-SKAN: Harnessing the Power of SwallowKAN to Advance Molecular Representation Learning with GNNs—0
WaveMamba: Spatial-Spectral Wavelet Mamba for Hyperspectral Image Classification—0
Hybrid Coordinate Descent for Efficient Neural Network Learning Using Line Search and Gradient Descent—0
NeuralFactors: A Novel Factor Learning Approach to Generative Modeling of Equities—0
Signal-SGN: A Spiking Graph Convolutional Network for Skeletal Action Recognition via Learning Temporal-Frequency Dynamics—0
Real-time Hybrid System Identification with Online Deterministic Annealing—0
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs—0
Faster Diffusion Action Segmentation—0
SPINEX-TimeSeries: Similarity-based Predictions with Explainable Neighbors Exploration for Time Series and Forecasting Problems—0
BOTS-LM: Training Large Language Models for Setswana—0
Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network—0
Doubly Stochastic Adaptive Neighbors Clustering via the Marcus Mapping—0
Towards Efficient Educational Chatbots: Benchmarking RAG Frameworks—0
Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits—0
Perceptual Motor Learning with Active Inference Framework for Robust Lateral Control—0
From Embeddings to Accuracy: Comparing Foundation Models for Radiographic Classification—0
Fourier Low-rank and Sparse Tensor for Efficient Tensor Completion—0
Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion—0
LGBQPC: Local Granular-Ball Quality Peaks Clustering—0
Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach—0
IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting—0
TS-PIELM: Time-Stepping Physics-Informed Extreme Learning Machine Facilitates Soil Consolidation Analyses—0
sparseGeoHOPCA: A Geometric Solution to Sparse Higher-Order PCA Without Covariance Estimation—0
Local MDI+: Local Feature Importances for Tree-Based Models—0
HER2 Expression Prediction with Flexible Multi-Modal Inputs via Dynamic Bidirectional Reconstruction—0
Structure and asymptotic preserving deep neural surrogates for uncertainty quantification in multiscale kinetic equations—0
Energy-Efficient Deep Learning for Traffic Classification on Microcontrollers—0
2.5D Super-Resolution Approaches for X-ray Computed Tomography-based Inspection of Additively Manufactured Parts—0
360-Degree Video Super Resolution and Quality Enhancement Challenge: Methods and Results—0
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction—0
3D Gaussian Adaptive Reconstruction for Fourier Light-Field Microscopy—0
3D Gaussian Inverse Rendering with Approximated Global Illumination—0
3D Shape Reconstruction From Images in the Frequency Domain—0
3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification—0
4D Cardiac Ultrasound Standard Plane Location by Spatial-Temporal Correlation—0
8-bit Numerical Formats for Deep Neural Networks—0
A 3D grain-based reconstruction method from a 2D surface image for the Distinct Lattice Spring Model—0
A Batch Sequential Halving Algorithm without Performance Degradation—0
A Benchmark for Fairness-Aware Graph Learning—0
Ab Initio Nucleic Acid Folding Simulations Using a Physics-Based Atomistic Free Energy Model—0
Combining Off-White and Sparse Black Models in Multi-step Physics-based Systems Identification -- EXTENDED VERSION—0
A Bottom-up Approach for Pancreas Segmentation using Cascaded Superpixels and (Deep) Image Patch Labeling—0
Abstract Rendering: Computing All Seen in Gaussian Splat Scenes—0
Acc3D: Accelerating Single Image to 3D Diffusion Models via Edge Consistency Guided Score Distillation—0
Accelerated Deep Reinforcement Learning Based Load Shedding for Emergency Voltage Control—0
Accelerated Fully First-Order Methods for Bilevel and Minimax Optimization—0
Accelerated Sparse Recovery Under Structured Measurements—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified