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

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Showing 2951–3000 of 4891 papers

TitleStatusHype
Feature Aggregating Network with Inter-Frame Interaction for Efficient Video Super-Resolution—0
Subspace Hybrid MVDR Beamforming for Augmented Hearing—0
SAIBench: A Structural Interpretation of AI for Science Through Benchmarks—0
TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural Architecture Search in Time Series Anomaly DetectionCode0
LayerCollapse: Adaptive compression of neural networks—0
MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices—0
FakeWatch ElectionShield: A Benchmarking Framework to Detect Fake News for Credible US Elections—0
Spatially Adaptive Cloth Regression with Implicit Neural Representations—0
Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs—0
Online Importance Sampling for Stochastic Gradient Optimization—0
CRISP: Hybrid Structured Sparsity for Class-aware Model PruningCode0
Empirical Comparison between Cross-Validation and Mutation-Validation in Model Selection—0
A projected nonlinear state-space model for forecasting time series signalsCode0
Scalable CP Decomposition for Tensor Learning using GPU Tensor Cores—0
REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints—0
Multi-Resolution Planar Region Extraction for Uneven Terrains—0
Linear-time online visibility graph transformation algorithm: for both natural and horizontal visibility criteria—0
Novel OCT mosaicking pipeline with Feature- and Pixel-based registrationCode0
Neural Network Pruning by Gradient DescentCode0
Quantum-Enhanced Support Vector Machine for Large-Scale Stellar Classification with GPU Acceleration—0
Computational Explorations in Biomedicine: Unraveling Molecular Dynamics for Cancer, Drug Delivery, and Biomolecular Insights using LAMMPS Simulations—0
FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation—0
A Deep-Genetic Algorithm (Deep-GA) Approach for High-Dimensional Nonlinear Parabolic Partial Differential Equations—0
Efficient Model Agnostic Approach for Implicit Neural Representation Based Arbitrary-Scale Image Super-Resolution—0
Bit Cipher -- A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models—0
Deep Tensor Network—0
Quantum Data Encoding: A Comparative Analysis of Classical-to-Quantum Mapping Techniques and Their Impact on Machine Learning Accuracy—0
PEFT-MedAware: Large Language Model for Medical Awareness—0
Redefining Super-Resolution: Fine-mesh PDE predictions without classical simulations—0
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting—0
OrchestraLLM: Efficient Orchestration of Language Models for Dialogue State Tracking—0
Federated Learning for Sparse Principal Component Analysis—0
K-BMPC: Derivative-based Koopman Bilinear Model Predictive Control for Tractor-Trailer Trajectory Tracking with Unknown Parameters—0
I Was Blind but Now I See: Implementing Vision-Enabled Dialogue in Social RobotsCode0
Topology of surface electromyogram signals: hand gesture decoding on Riemannian manifoldsCode0
Leveraging Hamilton-Jacobi PDEs with time-dependent Hamiltonians for continual scientific machine learningCode0
Fovea Transformer: Efficient Long-Context Modeling with Structured Fine-to-Coarse AttentionCode0
C-Procgen: Empowering Procgen with Controllable Contexts—0
Bias-Reduced Neural Networks for Parameter Estimation in Quantitative MRI—0
Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models—0
SigScatNet: A Siamese + Scattering based Deep Learning Approach for Signature Forgery Detection and Similarity Assessment—0
Enhancing Computation Efficiency in Large Language Models through Weight and Activation Quantization—0
Perfecting Liquid-State Theories with Machine Intelligence—0
Basis functions nonlinear data-enabled predictive control: Consistent and computationally efficient formulations—0
High-Performance Hybrid Algorithm for Minimum Sum-of-Squares Clustering of Infinitely Tall DataCode0
Extending Machine Learning-Based Early Sepsis Detection to Different Demographics—0
Improving Korean NLP Tasks with Linguistically Informed Subword Tokenization and Sub-character DecompositionCode0
Beyond Traditional Beamforming: Singular Vector Projection for MU-MIMO—0
Multi-view learning for automatic classification of multi-wavelength auroral images—0
Leveraging point annotations in segmentation learning with boundary loss—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified