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

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Showing 901–950 of 4891 papers

TitleStatusHype
Linear-Time User-Level DP-SCO via Robust Statistics—0
Data-Enabled Predictive Control for Flexible Spacecraft—0
Rolling Ahead Diffusion for Traffic Scene Simulation—0
Neuromorphic Digital-Twin-based Controller for Indoor Multi-UAV Systems Deployment—0
The Paradox of Stochasticity: Limited Creativity and Computational Decoupling in Temperature-Varied LLM Outputs of Structured Fictional Data—0
Recurrent Memory for Online Interdomain Gaussian Processes—0
TANTE: Time-Adaptive Operator Learning via Neural Taylor Expansion—0
Low-Resolution Neural Networks—0
SelfElicit: Your Language Model Secretly Knows Where is the Relevant EvidenceCode1
Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentationCode1
A Low-Complexity Plug-and-Play Deep Learning Model for Massive MIMO Precoding Across Sites—0
Contextual Compression Encoding for Large Language Models: A Novel Framework for Multi-Layered Parameter Space Pruning—0
InTAR: Inter-Task Auto-Reconfigurable Accelerator Design for High Data Volume Variation in DNNsCode1
MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition—0
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data—0
Fast-COS: A Fast One-Stage Object Detector Based on Reparameterized Attention Vision Transformer for Autonomous Driving—0
Filtered Markovian Projection: Dimensionality Reduction in Filtering for Stochastic Reaction NetworksCode0
Exploring Patterns Behind Sports—0
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface MeshesCode0
Learning Inverse Laplacian Pyramid for Progressive Depth Completion—0
Long-term simulation of physical and mechanical behaviors using curriculum-transfer-learning based physics-informed neural networks—0
Global Universal Scaling and Ultra-Small Parameterization in Machine Learning Interatomic Potentials with Super-Linearity—0
Hierarchical Document Parsing via Large Margin Feature Matching and HeuristicsCode0
Mixed Integer Linear Programming for Active Contact Selection in Deep Brain Stimulation—0
Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive ForecastingCode0
Provably Efficient RLHF Pipeline: A Unified View from Contextual Bandits—0
Latent Convergence Modulation in Large Language Models: A Novel Approach to Iterative Contextual Realignment—0
Calibrating LLMs with Information-Theoretic Evidential Deep LearningCode1
Smell of Source: Learning-Based Odor Source Localization with Molecular Communication—0
Inventory Consensus Control in Supply Chain Networks using Dissipativity-Based Control and Topology Co-Design—0
Bayesian Optimization by Kernel Regression and Density-based Exploration—0
Kolmogorov-Arnold Fourier Networks—0
Hierarchical Lexical Manifold Projection in Large Language Models: A Novel Mechanism for Multi-Scale Semantic Representation—0
Federated Learning with Reservoir State Analysis for Time Series Anomaly DetectionCode0
Graph Neural Network Enabled Pinching Antennas—0
CluStRE: Streaming Graph Clustering with Multi-Stage Refinement—0
Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning—0
Native Fortran Implementation of TensorFlow-Trained Deep and Bayesian Neural NetworksCode0
Cached Multi-Lora Composition for Multi-Concept Image GenerationCode1
FlashVideo:Flowing Fidelity to Detail for Efficient High-Resolution Video GenerationCode3
Flopping for FLOPs: Leveraging equivariance for computational efficiency—0
Hybrid machine learning based scale bridging framework for permeability prediction of fibrous structures—0
Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient—0
Tighter sparse variational Gaussian processes—0
Hierarchical Contextual Manifold Alignment for Structuring Latent Representations in Large Language Models—0
Gaussian Process Regression for Inverse Problems in Linear PDEs—0
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation—0
OneTrack-M: A multitask approach to transformer-based MOT models—0
TQ-DiT: Efficient Time-Aware Quantization for Diffusion Transformers—0
Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified