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

Showing 10261050 of 4891 papers

TitleStatusHype
A Control Oriented Fractional-Order Model of Lithium-ion Batteries Based on Caputo Definition0
A Comprehensive Review of Techniques, Algorithms, Advancements, Challenges, and Clinical Applications of Multi-modal Medical Image Fusion for Improved Diagnosis0
Optimal Task and Motion Planning for Autonomous Systems Using Petri Nets0
Beyond Frameworks: Unpacking Collaboration Strategies in Multi-Agent Systems0
GMSA: Enhancing Context Compression via Group Merging and Layer Semantic Alignment0
Structureless VIO0
Modèles de Substitution pour les Modèles à base d'Agents : Enjeux, Méthodes et ApplicationsCode0
Llama-Affinity: A Predictive Antibody Antigen Binding Model Integrating Antibody Sequences with Llama3 Backbone Architecture0
Multi-Order Wavelet Derivative Transform for Deep Time Series Forecasting0
Simple and Effective Specialized Representations for Fair Classifiers0
whittlehurst: A Python package implementing Whittle's likelihood estimation of the Hurst exponent0
IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting0
Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach0
LGBQPC: Local Granular-Ball Quality Peaks Clustering0
Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion0
Fourier Low-rank and Sparse Tensor for Efficient Tensor Completion0
HSRMamba: Efficient Wavelet Stripe State Space Model for Hyperspectral Image Super-ResolutionCode0
Neural-Inspired Advances in Integral Cryptanalysis0
From Embeddings to Accuracy: Comparing Foundation Models for Radiographic Classification0
LanTu: Dynamics-Enhanced Deep Learning for Eddy-Resolving Ocean Forecasting0
CFARNet: Learning-Based High-Resolution Multi-Target Detection for Rainbow Beam Radar0
Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs0
Multi-Robot Task Allocation for Homogeneous Tasks with Collision Avoidance via Spatial Clustering0
RainPro-8: An Efficient Deep Learning Model to Estimate Rainfall Probabilities Over 8 Hours0
Near Optimal Best Arm Identification for Clustered Bandits0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified