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 2976–3000 of 4891 papers

TitleStatusHype
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