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 2776–2800 of 4891 papers

TitleStatusHype
Feature Alignment: Rethinking Efficient Active Learning via Proxy in the Context of Pre-trained ModelsCode0
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling—0
Real-time hybrid controls of energy storage and load shedding for integrated power and energy systems of ships—0
Comparing large language models and human programmers for generating programming code—0
Graph Construction with Flexible Nodes for Traffic Demand PredictionCode0
SNE-RoadSegV2: Advancing Heterogeneous Feature Fusion and Fallibility Awareness for Freespace Detection—0
Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models—0
Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling—0
STC-ViT: Spatio Temporal Continuous Vision Transformer for Weather Forecasting—0
Comparative Analysis of XGBoost and Minirocket Algortihms for Human Activity Recognition—0
ViTaL: An Advanced Framework for Automated Plant Disease Identification in Leaf Images Using Vision Transformers and Linear Projection For Feature ReductionCode0
Quasi-Bayesian Estimation and Inference with Control Functions—0
TorchMD-Net 2.0: Fast Neural Network Potentials for Molecular Simulations—0
SDR-Former: A Siamese Dual-Resolution Transformer for Liver Lesion Classification Using 3D Multi-Phase Imaging—0
Dynamic Model of Back-to-Back Converter for System-Level Phasor Simulation—0
Fast Algorithms for Quantile Regression with Selection—0
InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning—0
Deep Neural Network Initialization with Sparsity Inducing Activations—0
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting—0
Efficient State Space Model via Fast Tensor Convolution and Block DiagonalizationCode0
CFIR: Fast and Effective Long-Text To Image Retrieval for Large CorporaCode0
opp/ai: Optimistic Privacy-Preserving AI on Blockchain—0
DiffuSolve: Diffusion-based Solver for Non-convex Trajectory Optimization—0
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces—0
An FPGA-Based Accelerator Enabling Efficient Support for CNNs with Arbitrary Kernel Sizes—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified