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 701–750 of 4891 papers

TitleStatusHype
DeePoly: A High-Order Accuracy Scientific Machine Learning Framework for Function Approximation and Solving PDEsCode1
DeepOPF-V: Solving AC-OPF Problems EfficientlyCode1
Deep Transfer Learning for Land Use and Land Cover Classification: A Comparative StudyCode1
Differentially Flat Learning-based Model Predictive Control Using a Stability, State, and Input Constraining Safety FilterCode1
Deep Implicit Moving Least-Squares Functions for 3D ReconstructionCode1
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR)Code1
Merging Experts into One: Improving Computational Efficiency of Mixture of ExpertsCode1
A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewardsCode1
MetaSeg: MetaFormer-based Global Contexts-aware Network for Efficient Semantic SegmentationCode1
Metric-Learning based Deep Hashing Network for Content Based Retrieval of Remote Sensing ImagesCode1
DecoupleNet: A Lightweight Backbone Network With Efficient Feature Decoupling for Remote Sensing Visual TasksCode1
An adaptive augmented Lagrangian method for training physics and equality constrained artificial neural networksCode1
Decomposing non-stationary signals with time-varying wave-shape functionsCode1
Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive HypergraphsCode1
MMS-LLaMA: Efficient LLM-based Audio-Visual Speech Recognition with Minimal Multimodal Speech TokensCode1
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent CodingCode1
DASS: Distilled Audio State Space Models Are Stronger and More Duration-Scalable LearnersCode1
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather PredictionCode1
On Fast Simulation of Dynamical System with Neural Vector Enhanced Numerical SolverCode1
ModeTv2: GPU-accelerated Motion Decomposition Transformer for Pairwise Optimization in Medical Image RegistrationCode1
DCT-SNN: Using DCT to Distribute Spatial Information over Time for Learning Low-Latency Spiking Neural NetworksCode1
Deep Learning for Hate Speech Detection: A Comparative StudyCode1
MoViNets: Mobile Video Networks for Efficient Video RecognitionCode1
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connectionsCode1
MSeg: A Composite Dataset for Multi-domain Semantic SegmentationCode1
MSFMamba: Multi-Scale Feature Fusion State Space Model for Multi-Source Remote Sensing Image ClassificationCode1
Rethinking Brain Tumor Segmentation from the Frequency Domain PerspectiveCode1
Benchmarking the Robustness of Spatial-Temporal Models Against CorruptionsCode1
DiGRAF: Diffeomorphic Graph-Adaptive Activation FunctionCode1
Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision TransformersCode1
Adaptive Focus for Efficient Video RecognitionCode1
Cross-attention Inspired Selective State Space Models for Target Sound ExtractionCode1
BetterNet: An Efficient CNN Architecture with Residual Learning and Attention for Precision Polyp SegmentationCode1
Multiscale Context-Aware Ensemble Deep KELM for Efficient Hyperspectral Image ClassificationCode1
Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label FusionCode1
CosmoPower-JAX: high-dimensional Bayesian inference with differentiable cosmological emulatorsCode1
CFT-RAG: An Entity Tree Based Retrieval Augmented Generation Algorithm With Cuckoo FilterCode1
Enhancing Vision-Language Few-Shot Adaptation with Negative LearningCode1
Adaptive Fourier Neural Operators: Efficient Token Mixers for TransformersCode1
Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics?Code1
Neural Interpretable PDEs: Harmonizing Fourier Insights with Attention for Scalable and Interpretable Physics DiscoveryCode1
Correlation Filters for Unmanned Aerial Vehicle-Based Aerial Tracking: A Review and Experimental EvaluationCode1
CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM ImagesCode1
ntLink: a toolkit for de novo genome assembly scaffolding and mapping using long readsCode1
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PCCode1
Objects do not disappear: Video object detection by single-frame object location anticipationCode1
An Asynchronous Intensity Representation for Framed and Event Video SourcesCode1
Octopus Inspired Optimization Algorithm: Multi-Level Structures and Parallel Computing StrategiesCode1
Contrast-Phys+: Unsupervised and Weakly-supervised Video-based Remote Physiological Measurement via Spatiotemporal ContrastCode1
ARNN: Attentive Recurrent Neural Network for Multi-channel EEG Signals to Identify Epileptic SeizuresCode1
Show:102550
← PrevPage 15 of 98Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified