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 2751–2800 of 4891 papers

TitleStatusHype
FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections—0
Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation—0
Deep Learning for In-Orbit Cloud Segmentation and Classification in Hyperspectral Satellite Data—0
Sparse Bayesian Learning-Based Hierarchical Construction for 3D Radio Environment Maps Incorporating Channel Shadowing—0
Application of Distributed Arithmetic to Adaptive Filtering Algorithms: Trends, Challenges and Future—0
Efficient Language Model Architectures for Differentially Private Federated Learning—0
What Makes Quantization for Large Language Models Hard? An Empirical Study from the Lens of Perturbation—0
Monotone Individual Fairness—0
Decentralized and Lifelong-Adaptive Multi-Agent Collaborative LearningCode0
Efficient dual-scale generalized Radon-Fourier transform detector family for long time coherent integration—0
LinearAPT: An Adaptive Algorithm for the Fixed-Budget Thresholding Linear Bandit Problem—0
Implementation of soft-constrained MPC for Tracking using its semi-banded problem structure—0
Redefining cystoscopy with ai: bladder cancer diagnosis using an efficient hybrid cnn-transformer model—0
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN—0
Enhancing Price Prediction in Cryptocurrency Using Transformer Neural Network and Technical Indicators—0
Enhanced Low-Dose CT Image Reconstruction by Domain and Task Shifting Gaussian Denoisers—0
D4C Glove-train: Solving the RPM and Bongard-logo Problem by Circumscribing and Building Distribution for Concepts—0
Single-level Robust Bidding of Renewable-only Virtual Power Plant in Energy and Ancillary Service Markets for Worst-case Profit—0
Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation—0
A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral imagesCode0
Data Collaboration Analysis with Orthonormal Basis Selection and Alignment—0
Vanilla Transformers are Transfer Capability Teachers—0
Hybridizing Traditional and Next-Generation Reservoir Computing to Accurately and Efficiently Forecast Dynamical SystemsCode0
Revisiting Learning-based Video Motion Magnification for Real-time Processing—0
Interpretable Models for Detecting and Monitoring Elevated Intracranial Pressure—0
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