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 1051–1100 of 4891 papers

TitleStatusHype
Hybrid Adaptive Modeling using Neural Networks Trained with Nonlinear Dynamics Based Features—0
"FRAME: Forward Recursive Adaptive Model Extraction -- A Technique for Advance Feature Selection"—0
Parallel Sequence Modeling via Generalized Spatial Propagation Network—0
Video Depth Anything: Consistent Depth Estimation for Super-Long VideosCode5
Survey on Hand Gesture Recognition from Visual Input—0
CoverM: Read alignment statistics for metagenomicsCode3
Sparse L0-norm based Kernel-free Quadratic Surface Support Vector MachinesCode0
Question-to-Question Retrieval for Hallucination-Free Knowledge Access: An Approach for Wikipedia and Wikidata Question Answering—0
GCSAM: Gradient Centralized Sharpness Aware MinimizationCode0
Finer-CAM: Spotting the Difference Reveals Finer Details for Visual ExplanationCode1
Leveraging GANs For Active Appearance Models Optimized Model Fitting—0
A Survey on Diffusion Models for Anomaly DetectionCode2
A Survey of World Models for Autonomous DrivingCode1
Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity RecognitionCode0
BOOST: Microgrid Sizing using Ordinal Optimization—0
Recovering Unobserved Network Links from Aggregated Relational Data: Discussions on Bayesian Latent Surface Modeling and Penalized Regression—0
HOPS: High-order Polynomials with Self-supervised Dimension Reduction for Load Forecasting—0
Computational Discovery of Chiasmus in Ancient Religious TextCode0
Revisiting Ensemble Methods for Stock Trading and Crypto Trading Tasks at ACM ICAIF FinRL Contest 2023-2024—0
Which price to pay? Auto-tuning building MPC controller for optimal economic cost—0
Analytical Models of Frequency and Voltage in Large-Scale All-Inverter Power Systems—0
DPERC: Direct Parameter Estimation for Mixed Data—0
Wasserstein Adaptive Value Estimation for Actor-Critic Reinforcement Learning—0
OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning—0
Adaptive Clustering for Efficient Phenotype Segmentation of UAV Hyperspectral Data—0
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