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 701–725 of 4891 papers

TitleStatusHype
A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewardsCode1
DecoupleNet: A Lightweight Backbone Network With Efficient Feature Decoupling for Remote Sensing Visual TasksCode1
Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive HypergraphsCode1
Deep Speech Synthesis from MRI-Based Articulatory RepresentationsCode1
DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference AccelerationCode1
CSWin-UNet: Transformer UNet with Cross-Shaped Windows for Medical Image SegmentationCode1
DASS: Distilled Audio State Space Models Are Stronger and More Duration-Scalable LearnersCode1
Mask Image WatermarkingCode1
MATS: An Interpretable Trajectory Forecasting Representation for Planning and ControlCode1
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural NetworksCode1
DCT-SNN: Using DCT to Distribute Spatial Information over Time for Learning Low-Latency Spiking Neural NetworksCode1
An adaptive augmented Lagrangian method for training physics and equality constrained artificial neural networksCode1
Cross-attention Inspired Selective State Space Models for Target Sound ExtractionCode1
Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label FusionCode1
Metric-Learning based Deep Hashing Network for Content Based Retrieval of Remote Sensing ImagesCode1
CosmoPower-JAX: high-dimensional Bayesian inference with differentiable cosmological emulatorsCode1
Benchmarking the Robustness of Spatial-Temporal Models Against CorruptionsCode1
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather PredictionCode1
CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM ImagesCode1
Decomposing non-stationary signals with time-varying wave-shape functionsCode1
Deep Transfer Learning for Land Use and Land Cover Classification: A Comparative StudyCode1
MobileMEF: Fast and Efficient Method for Multi-Exposure FusionCode1
Continual Learning For On-Device Environmental Sound ClassificationCode1
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare SettingsCode1
Contrast-Phys+: Unsupervised and Weakly-supervised Video-based Remote Physiological Measurement via Spatiotemporal ContrastCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified