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 22512300 of 4891 papers

TitleStatusHype
Data-driven Modeling of Linearizable Power Flow for Large-scale Grid Topology Optimization0
TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning0
Deep Transfer Hashing for Adaptive Learning on Federated Streaming Data0
ReLU Surrogates in Mixed-Integer MPC for Irrigation Scheduling0
Applications of Knowledge Distillation in Remote Sensing: A Survey0
Memory Networks: Towards Fully Biologically Plausible Learning0
Recurrent Interpolants for Probabilistic Time Series Prediction0
Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection0
Optimal Control for Discrete-Time Systems under Bounded Disturbances0
SPRMamba: Surgical Phase Recognition for Endoscopic Submucosal Dissection with MambaCode0
On Vision Transformers for Classification Tasks in Side-Scan Sonar Imagery0
PropEnc: A Property Encoder for Graph Neural Networks0
A computational framework for optimal and Model Predictive Control of stochastic gene regulatory networks0
SDP: Spiking Diffusion Policy for Robotic Manipulation with Learnable Channel-Wise Membrane Thresholds0
Lite-FBCN: Lightweight Fast Bilinear Convolutional Network for Brain Disease Classification from MRI ImageCode0
A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative HypotensionCode0
Towards Gaussian Process for operator learning: an uncertainty aware resolution independent operator learning algorithm for computational mechanics0
Evaluating the Efficacy of Instance Incremental vs. Batch Learning in Delayed Label Environments: An Empirical Study on Tabular Data Streaming for Fraud DetectionCode0
Neuromorphic Spintronics0
Provably Efficient Infinite-Horizon Average-Reward Reinforcement Learning with Linear Function Approximation0
Detecting Sexism in German Online Newspaper Comments with Open-Source Text Embeddings (Team GDA, GermEval2024 Shared Task 1: GerMS-Detect, Subtasks 1 and 2, Closed Track)Code0
Scaling Continuous Kernels with Sparse Fourier Domain Learning0
OML-AD: Online Machine Learning for Anomaly Detection in Time Series DataCode0
Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding0
An Efficient Privacy-aware Split Learning Framework for Satellite Communications0
Thermal Modelling of Battery Cells for Optimal Tab and Surface Cooling Control0
Adaptive Sampling for Continuous Group Equivariant Neural Networks0
Biomimetic Frontend for Differentiable Audio ProcessingCode0
Integration of Mamba and Transformer -- MAT for Long-Short Range Time Series Forecasting with Application to Weather Dynamics0
Convex Reformulation of Information Constrained Linear State Estimation with Mixed-Binary Variables for Outlier Accommodation0
In-Situ Fine-Tuning of Wildlife Models in IoT-Enabled Camera Traps for Efficient Adaptation0
Rapid Parameter Estimation for Extreme Mass Ratio Inspirals Using Machine Learning0
GateAttentionPose: Enhancing Pose Estimation with Agent Attention and Improved Gated Convolutions0
Mamba for Scalable and Efficient Personalized Recommendations0
A Continual and Incremental Learning Approach for TinyML On-device Training Using Dataset Distillation and Model Size Adaption0
CerviXpert: A Multi-Structural Convolutional Neural Network for Predicting Cervix Type and Cervical Cell Abnormalities0
Uncertainty Quantification in Seismic Inversion Through Integrated Importance Sampling and Ensemble Methods0
The Weak Form Is Stronger Than You Think0
Consensus-based Distributed Quantum Kernel Learning for Speech Recognition0
ReL-SAR: Representation Learning for Skeleton Action Recognition with Convolutional Transformers and BYOLCode0
CoDiCast: Conditional Diffusion Model for Global Weather Prediction with Uncertainty QuantificationCode0
Enhancing Cross-Modality Synthesis: Subvolume Merging for MRI-to-CT Conversion0
Bridging Autoencoders and Dynamic Mode Decomposition for Reduced-order Modeling and Control of PDEs0
NeurLZ: An Online Neural Learning-Based Method to Enhance Scientific Lossy Compression0
Towards Democratizing Multilingual Large Language Models For Medicine Through A Two-Stage Instruction Fine-tuning ApproachCode0
Self-Supervised State Space Model for Real-Time Traffic Accident Prediction Using eKAN NetworksCode0
WaterSeeker: Pioneering Efficient Detection of Watermarked Segments in Large DocumentsCode0
VidLPRO: A Video-Language Pre-training Framework for Robotic and Laparoscopic Surgery0
An Efficient and Generalizable Symbolic Regression Method for Time Series Analysis0
A Physics-Informed Machine Learning Approach for Solving Distributed Order Fractional Differential Equations0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified