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 1251–1300 of 4891 papers

TitleStatusHype
Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag DataCode0
The dark side of the forces: assessing non-conservative force models for atomistic machine learningCode2
SweepEvGS: Event-Based 3D Gaussian Splatting for Macro and Micro Radiance Field Rendering from a Single Sweep—0
CNNtention: Can CNNs do better with Attention?Code0
Adapting Segment Anything Model (SAM) to Experimental Datasets via Fine-Tuning on GAN-based Simulation: A Case Study in Additive ManufacturingCode0
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers—0
Deployment Pipeline from Rockpool to Xylo for Edge Computing—0
A Comprehensive Survey of Action Quality Assessment: Method and Benchmark—0
Uni-AdaFocus: Spatial-temporal Dynamic Computation for Video RecognitionCode2
Rethinking Chain-of-Thought from the Perspective of Self-TrainingCode1
Enhancing Off-Grid One-Bit DOA Estimation with Learning-Based Sparse Bayesian Approach for Non-Uniform Sparse Array—0
Pretrained Event Classification Model for High Energy Physics Analysis—0
A Diagrammatic Approach to Improve Computational Efficiency in Group Equivariant Neural Networks—0
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and RegressionCode0
Audio-based Anomaly Detection in Industrial Machines Using Deep One-Class Support Vector Data Description—0
RWKV-Lite: Deeply Compressed RWKV for Resource-Constrained Devices—0
Reliable and superior elliptic Fourier descriptor normalization and its application software ElliShape with efficient image processing—0
Evaluating the effectiveness, reliability and efficiency of a multi-objective sequential optimization approach for building performance design—0
Optimal Bounds for Private Minimum Spanning Trees via Input Perturbation—0
FM2S: Towards Spatially-Correlated Noise Modeling in Zero-Shot Fluorescence Microscopy Image DenoisingCode1
A Cascaded Dilated Convolution Approach for Mpox Lesion ClassificationCode0
Stellar parameter prediction and spectral simulation using machine learning—0
Isogeometric Analysis for the Pricing of Financial Derivatives with Nonlinear Models: Convertible Bonds and Options—0
Wait-Less Offline Tuning and Re-solving for Online Decision Making—0
Operator Learning for Robust Stabilization of Linear Markov-Jumping Hyperbolic PDEs—0
Mojito: Motion Trajectory and Intensity Control for Video Generation—0
From Noise to Nuance: Advances in Deep Generative Image Models—0
evS2CP: Real-time Simultaneous Speed and Charging Planner for Connected Electric Vehicles—0
Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting—0
Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLMCode1
New keypoint-based approach for recognising British Sign Language (BSL) from sequences—0
ProtoOcc: Accurate, Efficient 3D Occupancy Prediction Using Dual Branch Encoder-Prototype Query DecoderCode1
Efficient Gravitational Wave Parameter Estimation via Knowledge Distillation: A ResNet1D-IAF Approach—0
Two-way Node Popularity Model for Directed and Bipartite NetworksCode0
Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node ClassificationCode0
TurboAttention: Efficient Attention Approximation For High Throughputs LLMs—0
Breaking the Bias: Recalibrating the Attention of Industrial Anomaly Detection—0
FLRONet: Deep Operator Learning for High-Fidelity Fluid Flow Field Reconstruction from Sparse Sensor Measurements—0
Improving Satellite Imagery Masking using Multi-task and Transfer Learning—0
DiffRaman: A Conditional Latent Denoising Diffusion Probabilistic Model for Bacterial Raman Spectroscopy Identification Under Limited Data Conditions—0
An Enhancement of CNN Algorithm for Rice Leaf Disease Image Classification in Mobile Applications—0
Automatic Doubly Robust Forests—0
Deep Learning-Enhanced Preconditioning for Efficient Conjugate Gradient Solvers in Large-Scale PDE Systems—0
Tazza: Shuffling Neural Network Parameters for Secure and Private Federated Learning—0
PrisonBreak: Jailbreaking Large Language Models with Fewer Than Twenty-Five Targeted Bit-flips—0
CrackESS: A Self-Prompting Crack Segmentation System for Edge Devices—0
Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior GraphsCode1
Compression for Better: A General and Stable Lossless Compression Framework—0
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care—0
Digital Twin-Empowered Voltage Control for Power Systems—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified