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 1001–1050 of 4891 papers

TitleStatusHype
STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization—0
Neighbour-Driven Gaussian Process Variational Autoencoders for Scalable Structured Latent Modelling—0
Auto-nnU-Net: Towards Automated Medical Image SegmentationCode0
Attributing Response to Context: A Jensen-Shannon Divergence Driven Mechanistic Study of Context Attribution in Retrieval-Augmented Generation—0
Discovering Pathology Rationale and Token Allocation for Efficient Multimodal Pathology Reasoning—0
Place Cells as Proximity-Preserving Embeddings: From Multi-Scale Random Walk to Straight-Forward Path Planning—0
VAMO: Efficient Large-Scale Nonconvex Optimization via Adaptive Zeroth Order Variance Reduction—0
Computational Efficiency under Covariate Shift in Kernel Ridge Regression—0
KIPPO: Koopman-Inspired Proximal Policy Optimization—0
Flexible-weighted Chamfer Distance: Enhanced Objective Function for Point Cloud Completion—0
Developing RPC-Net: Leveraging High-Density Electromyography and Machine Learning for Improved Hand Position Estimation—0
Path-integral molecular dynamics with actively-trained and universal machine learning force fieldsCode0
UHD Image Dehazing via anDehazeFormer with Atmospheric-aware KV Cache—0
An Asymptotic Equation Linking WAIC and WBIC in Singular Models—0
Adaptive Cyclic Diffusion for Inference Scaling—0
EGFormer: Towards Efficient and Generalizable Multimodal Semantic Segmentation—0
Quantum Optimization via Gradient-Based Hamiltonian DescentCode0
Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function ApproximationCode0
ModRWKV: Transformer Multimodality in Linear TimeCode0
SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs—0
Multi-Level Monte Carlo Training of Neural Operators—0
GANCompress: GAN-Enhanced Neural Image Compression with Binary Spherical Quantization—0
3D Gaussian Adaptive Reconstruction for Fourier Light-Field Microscopy—0
Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures—0
Net-Zero: A Comparative Study on Neural Network Design for Climate-Economic PDEs Under Uncertainty—0
A Control Oriented Fractional-Order Model of Lithium-ion Batteries Based on Caputo Definition—0
A Comprehensive Review of Techniques, Algorithms, Advancements, Challenges, and Clinical Applications of Multi-modal Medical Image Fusion for Improved Diagnosis—0
Optimal Task and Motion Planning for Autonomous Systems Using Petri Nets—0
Beyond Frameworks: Unpacking Collaboration Strategies in Multi-Agent Systems—0
GMSA: Enhancing Context Compression via Group Merging and Layer Semantic Alignment—0
Structureless VIO—0
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 Architecture—0
Multi-Order Wavelet Derivative Transform for Deep Time Series Forecasting—0
Simple and Effective Specialized Representations for Fair Classifiers—0
whittlehurst: A Python package implementing Whittle's likelihood estimation of the Hurst exponent—0
IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting—0
Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach—0
LGBQPC: Local Granular-Ball Quality Peaks Clustering—0
Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion—0
Fourier Low-rank and Sparse Tensor for Efficient Tensor Completion—0
HSRMamba: Efficient Wavelet Stripe State Space Model for Hyperspectral Image Super-ResolutionCode0
Neural-Inspired Advances in Integral Cryptanalysis—0
From Embeddings to Accuracy: Comparing Foundation Models for Radiographic Classification—0
LanTu: Dynamics-Enhanced Deep Learning for Eddy-Resolving Ocean Forecasting—0
CFARNet: Learning-Based High-Resolution Multi-Target Detection for Rainbow Beam Radar—0
Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs—0
Multi-Robot Task Allocation for Homogeneous Tasks with Collision Avoidance via Spatial Clustering—0
RainPro-8: An Efficient Deep Learning Model to Estimate Rainfall Probabilities Over 8 Hours—0
Near Optimal Best Arm Identification for Clustered Bandits—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified