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
RRWKV: Capturing Long-range Dependencies in RWKV—0
Sequence-to-Sequence Model with Transformer-based Attention Mechanism and Temporal Pooling for Non-Intrusive Load Monitoring—0
An adaptive augmented Lagrangian method for training physics and equality constrained artificial neural networksCode1
Estimating Koopman operators with sketching to provably learn large scale dynamical systemsCode1
Stochastic Natural Thresholding Algorithms—0
Robust-DefReg: A Robust Deformable Point Cloud Registration Method based on Graph Convolutional Neural Networks—0
FAMO: Fast Adaptive Multitask OptimizationCode1
Proximal Symmetric Non-negative Latent Factor Analysis: A Novel Approach to Highly-Accurate Representation of Undirected Weighted Networks—0
Exploring the effects of robotic design on learning and neural controlCode0
The Power Of Simplicity: Why Simple Linear Models Outperform Complex Machine Learning Techniques -- Case Of Breast Cancer Diagnosis—0
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal ForecastingCode2
Content-aware Token Sharing for Efficient Semantic Segmentation with Vision TransformersCode1
Overcoming the Stability Gap in Continual Learning—0
Do we become wiser with time? On causal equivalence with tiered background knowledge—0
Interaction Measures, Partition Lattices and Kernel Tests for High-Order InteractionsCode0
TorchRL: A data-driven decision-making library for PyTorchCode4
Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesisCode4
Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary DomainsCode1
ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models—0
Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria RecommendationCode0
Identification of stormwater control strategies and their associated uncertainties using Bayesian OptimizationCode0
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
Bi-fidelity Variational Auto-encoder for Uncertainty QuantificationCode0
Neural incomplete factorization: learning preconditioners for the conjugate gradient methodCode1
PROTO: Iterative Policy Regularized Offline-to-Online Reinforcement LearningCode1
Leveraging object detection for the identification of lung cancer—0
Union Subgraph Neural NetworksCode0
Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)Code1
Deep Reinforcement Learning with Plasticity Injection—0
Exploring Automatically Perturbed Natural Language Explanations in Relation Extraction—0
A Monte Carlo Language Model Pipeline for Zero-Shot Sociopolitical Event Extraction—0
NeuralMatrix: Compute the Entire Neural Networks with Linear Matrix Operations for Efficient Inference—0
Basis Pursuit Denoising via Recurrent Neural Network Applied to Super-resolving SAR Tomography—0
A Model Stealing Attack Against Multi-Exit Networks—0
Risk-aware Safe Control for Decentralized Multi-agent Systems via Dynamic Responsibility Allocation—0
Flover: A Temporal Fusion Framework for Efficient Autoregressive Model Parallel InferenceCode0
RDA-INR: Riemannian Diffeomorphic Autoencoding via Implicit Neural Representations—0
RWKV: Reinventing RNNs for the Transformer EraCode6
GELU Activation Function in Deep Learning: A Comprehensive Mathematical Analysis and Performance—0
The Deep Promotion Time Cure ModelCode0
Nonconvex Robust High-Order Tensor Completion Using Randomized Low-Rank Approximation—0
Efficient ConvBN Blocks for Transfer Learning and BeyondCode1
Time Series Clustering With Random Convolutional KernelsCode0
CageViT: Convolutional Activation Guided Efficient Vision Transformer—0
DualFL: A Duality-based Federated Learning Algorithm with Communication Acceleration in the General Convex Regime—0
Principal Uncertainty Quantification with Spatial Correlation for Image Restoration ProblemsCode1
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified