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 1076–1100 of 4891 papers

TitleStatusHype
Deep Learning for Early Alzheimer Disease Detection with MRI ScansCode0
Graph Neural Networks for Travel Distance Estimation and Route Recommendation Under Probabilistic Hazards—0
Parallel multi-objective metaheuristics for smart communications in vehicular networks—0
LeMo: Enabling LEss Token Involvement for MOre Context Fine-tuning—0
Learning Joint Denoising, Demosaicing, and Compression from the Raw Natural Image Noise DatasetCode0
Towards Lightweight and Stable Zero-shot TTS with Self-distilled Representation Disentanglement—0
Cancer-Net PCa-Seg: Benchmarking Deep Learning Models for Prostate Cancer Segmentation Using Synthetic Correlated Diffusion Imaging—0
Deep Learning Meets Queue-Reactive: A Framework for Realistic Limit Order Book Simulation—0
AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning—0
DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman ProblemCode1
SPEQ: Stabilization Phases for Efficient Q-Learning in High Update-To-Data Ratio Reinforcement Learning—0
Trusted Machine Learning Models Unlock Private Inference for Problems Currently Infeasible with Cryptography—0
Efficient and Accurate Full-Waveform Inversion with Total Variation ConstraintCode0
Economic Model Predictive Control for Periodic Operation: A Quadratic Programming Approach—0
RWKV-UNet: Improving UNet with Long-Range Cooperation for Effective Medical Image SegmentationCode2
Poseidon: A ViT-based Architecture for Multi-Frame Pose Estimation with Adaptive Frame Weighting and Multi-Scale Feature FusionCode1
Optimizing Language Models for Grammatical Acceptability: A Comparative Study of Fine-Tuning Techniques—0
Black-box Optimization with Simultaneous Statistical Inference for Optimal Performance—0
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation—0
Robust Hyperspectral Image Panshapring via Sparse Spatial-Spectral Representation—0
Transforming Indoor Localization: Advanced Transformer Architecture for NLOS Dominated Wireless Environments with Distributed Sensors—0
An Enhanced Zeroth-Order Stochastic Frank-Wolfe Framework for Constrained Finite-Sum OptimizationCode0
AlphaNet: Scaling Up Local-frame-based Atomistic Interatomic PotentialCode2
UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTMCode0
QuantuneV2: Compiler-Based Local Metric-Driven Mixed Precision Quantization for Practical Embedded AI Applications—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified