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 3251–3275 of 4891 papers

TitleStatusHype
Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-ConcatenationCode0
Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness—0
Leveraging object detection for the identification of lung cancer—0
Union Subgraph Neural NetworksCode0
Bi-fidelity Variational Auto-encoder for Uncertainty QuantificationCode0
Exploring Automatically Perturbed Natural Language Explanations in Relation Extraction—0
Deep Reinforcement Learning with Plasticity Injection—0
A Monte Carlo Language Model Pipeline for Zero-Shot Sociopolitical Event Extraction—0
Basis Pursuit Denoising via Recurrent Neural Network Applied to Super-resolving SAR Tomography—0
A Model Stealing Attack Against Multi-Exit Networks—0
NeuralMatrix: Compute the Entire Neural Networks with Linear Matrix Operations for Efficient Inference—0
Flover: A Temporal Fusion Framework for Efficient Autoregressive Model Parallel InferenceCode0
Risk-aware Safe Control for Decentralized Multi-agent Systems via Dynamic Responsibility Allocation—0
RDA-INR: Riemannian Diffeomorphic Autoencoding via Implicit Neural Representations—0
GELU Activation Function in Deep Learning: A Comprehensive Mathematical Analysis and Performance—0
Nonconvex Robust High-Order Tensor Completion Using Randomized Low-Rank Approximation—0
The Deep Promotion Time Cure ModelCode0
CageViT: Convolutional Activation Guided Efficient Vision Transformer—0
DualFL: A Duality-based Federated Learning Algorithm with Communication Acceleration in the General Convex Regime—0
Time Series Clustering With Random Convolutional KernelsCode0
Smooth Robustness Measures for Symbolic Control Via Signal Temporal Logic—0
Benchmarking the human brain against computational architectures—0
Neural information coding for efficient spike-based image denoising—0
A Dataset Fusion Algorithm for Generalised Anomaly Detection in Homogeneous Periodic Time Series Datasets—0
Modelling Quasi-Orthographic Captures for Surface Imaging—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified