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 44514500 of 4891 papers

TitleStatusHype
Scalable Verification of Quantized Neural Networks (Technical Report)Code0
GCSAM: Gradient Centralized Sharpness Aware MinimizationCode0
GCNv2: Efficient Correspondence Prediction for Real-Time SLAMCode0
LoRA Unlearns More and Retains More (Student Abstract)Code0
pLDDT-Predictor: High-speed Protein Screening Using Transformer and ESM2Code0
Scale-Equivariant Steerable NetworksCode0
STONet: A novel neural operator for modeling solute transport in micro-cracked reservoirsCode0
LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-TuningCode0
Time Series Clustering With Random Convolutional KernelsCode0
LowCLIP: Adapting the CLIP Model Architecture for Low-Resource Languages in Multimodal Image Retrieval TaskCode0
Low-complexity decentralized algorithm for aggregate load control of thermostatic loadsCode0
ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record GenerationCode0
Point-Based Multi-View Stereo NetworkCode0
A Comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer Architectures for Computing Marginals of Probability DistributionsCode0
Low-Order Flow Reconstruction and Uncertainty Quantification in Disturbed Aerodynamics Using Sparse Pressure MeasurementsCode0
PointNetLK: Robust & Efficient Point Cloud Registration using PointNetCode0
Dynamic Logistic Ensembles with Recursive Probability and Automatic Subset Splitting for Enhanced Binary ClassificationCode0
Dynamic Bi-Elman Attention Networks: A Dual-Directional Context-Aware Test-Time Learning for Text ClassificationCode0
High-Performance Hybrid Algorithm for Minimum Sum-of-Squares Clustering of Infinitely Tall DataCode0
Adapting Segment Anything Model (SAM) to Experimental Datasets via Fine-Tuning on GAN-based Simulation: A Case Study in Additive ManufacturingCode0
Polarity is all you need to learn and transfer fasterCode0
QE-BEV: Query Evolution for Bird's Eye View Object Detection in Varied ContextsCode0
Conjugate Bayesian Two-step Change Point Detection for Hawkes ProcessCode0
POPoS: Improving Efficient and Robust Facial Landmark Detection with Parallel Optimal Position SearchCode0
Confusion-based rank similarity filters for computationally-efficient machine learning on high dimensional dataCode0
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian OptimizationCode0
CondenseNeXt: An Ultra-Efficient Deep Neural Network for Embedded SystemsCode0
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional SystemsCode0
Dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraintCode0
A Practical Guide to Randomized Matrix Computations with MATLAB ImplementationsCode0
BAFFLE : Blockchain Based Aggregator Free Federated LearningCode0
LYTNet: A Convolutional Neural Network for Real-Time Pedestrian Traffic Lights and Zebra Crossing Recognition for the Visually ImpairedCode0
Gated Texture CNN for Efficient and Configurable Image DenoisingCode0
DualView: Data Attribution from the Dual PerspectiveCode0
Approximation of the Proximal Operator of the _ Norm Using a Neural NetworkCode0
Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker DecompositionCode0
StreamFP: Learnable Fingerprint-guided Data Selection for Efficient Stream LearningCode0
S-CFE: Simple Counterfactual ExplanationsCode0
Dual-Task Learning for Dead Tree Detection and Segmentation with Hybrid Self-Attention U-Nets in Aerial ImageryCode0
Dual Parameterization of Sparse Variational Gaussian ProcessesCode0
B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture SearchCode0
Condensed Gradient BoostingCode0
Science Hierarchography: Hierarchical Organization of Science LiteratureCode0
Street Crossing Aid Using Light-weight CNNs for the Visually ImpairedCode0
SCQPTH: an efficient differentiable splitting method for convex quadratic programmingCode0
SDAN: Squared Deformable Alignment Network for Learning Misaligned Optical ZoomCode0
SDCNet: Smoothed Dense-Convolution Network for Restoring Low-Dose Cerebral CT PerfusionCode0
SDF-TopoNet: A Two-Stage Framework for Tubular Structure Segmentation via SDF Pre-training and Topology-Aware Fine-TuningCode0
DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series AnalysisCode0
Gated Fusion Network for Joint Image Deblurring and Super-ResolutionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified