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 1201–1225 of 4891 papers

TitleStatusHype
Geographical Context Matters: Bridging Fine and Coarse Spatial Information to Enhance Continental Land Cover MappingCode0
RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical featuresCode0
FedCanon: Non-Convex Composite Federated Learning with Efficient Proximal Operation on Heterogeneous Data—0
Regist3R: Incremental Registration with Stereo Foundation Model—0
A Review of YOLOv12: Attention-Based Enhancements vs. Previous Versions—0
Contract-based hierarchical control using predictive feasibility value functions—0
CFIS-YOLO: A Lightweight Multi-Scale Fusion Network for Edge-Deployable Wood Defect Detection—0
Influence Maximization in Temporal Social Networks with a Cold-Start Problem: A Supervised ApproachCode0
Fast-Powerformer: A Memory-Efficient Transformer for Accurate Mid-Term Wind Power Forecasting—0
QAMA: Quantum annealing multi-head attention operator with classical deep learning framework—0
A Signal Matrix-Based Local Flaw Detection Framework for Steel Wire Ropes Using Convolutional Neural Networks—0
Ride-pool Assignment Algorithms: Modern Implementation and Swapping Heuristics—0
Computationally Efficient State and Model Estimation via Interval Observers for Partially Unknown Systems—0
CAT: A Conditional Adaptation Tailor for Efficient and Effective Instance-Specific Pansharpening on Real-World Data—0
DTFSal: Audio-Visual Dynamic Token Fusion for Video Saliency Prediction—0
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model—0
Enhancing Mathematical Reasoning in Large Language Models with Self-Consistency-Based Hallucination Detection—0
Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?—0
Integrated GARCH-GRU in Financial Volatility Forecasting—0
OmniMamba4D: Spatio-temporal Mamba for longitudinal CT lesion segmentation—0
HER2 Expression Prediction with Flexible Multi-Modal Inputs via Dynamic Bidirectional Reconstruction—0
Reinforcement Learning-Driven Plant-Wide Refinery Planning Using Model Decomposition—0
Successive Jump and Mode Decomposition—0
SAEs Can Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs—0
Graph Reduction with Unsupervised Learning in Column Generation: A Routing Application—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified