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

Showing 22262250 of 4891 papers

TitleStatusHype
ML-based identification of the interface regions for coupling local and nonlocal models0
Forecasting the Forced van der Pol Equation with Frequent Phase Shifts Using Reservoir Computing0
Efficient Transformer Encoders for Mask2Former-style modelsCode0
Taming Diffusion Probabilistic Models for Character ControlCode3
A general framework for supporting economic feasibility of generator and storage energy systems through capacity and dispatch optimizationCode0
Adaptive Bayesian Optimization for High-Precision Motion Systems0
Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order ConnectivityCode1
DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning for Medical ImagesCode0
MultiBooth: Towards Generating All Your Concepts in an Image from TextCode2
Parameter Efficient Fine Tuning: A Comprehensive Analysis Across Applications0
LEMDA: A Novel Feature Engineering Method for Intrusion Detection in IoT Systems0
ST-Mamba: Spatial-Temporal Selective State Space Model for Traffic Flow Prediction0
AMMUNet: Multi-Scale Attention Map Merging for Remote Sensing Image SegmentationCode0
Music Consistency Models0
Leveraging Visibility Graphs for Enhanced Arrhythmia Classification with Graph Convolutional NetworksCode0
A Point-Based Approach to Efficient LiDAR Multi-Task Perception0
Proteus: Preserving Model Confidentiality during Graph OptimizationsCode0
Partial Large Kernel CNNs for Efficient Super-ResolutionCode2
Analytical results for uncertainty propagation through trained machine learning regression models0
LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory0
Stepwise Alignment for Constrained Language Model Policy OptimizationCode0
Comprehensive Survey of Model Compression and Speed up for Vision Transformers0
Node Similarities under Random Projections: Limits and Pathological Cases0
HSIDMamba: Exploring Bidirectional State-Space Models for Hyperspectral Denoising0
Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker DecompositionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified