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 44514475 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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified