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 2351–2375 of 4891 papers

TitleStatusHype
Decentralized and Lifelong-Adaptive Multi-Agent Collaborative LearningCode0
LinearAPT: An Adaptive Algorithm for the Fixed-Budget Thresholding Linear Bandit Problem—0
Fast Kernel Scene FlowCode1
CogView3: Finer and Faster Text-to-Image Generation via Relay DiffusionCode5
RFWave: Multi-band Rectified Flow for Audio Waveform ReconstructionCode2
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
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
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN—0
D4C Glove-train: Solving the RPM and Bongard-logo Problem by Circumscribing and Building Distribution for Concepts—0
Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation—0
Single-level Robust Bidding of Renewable-only Virtual Power Plant in Energy and Ancillary Service Markets for Worst-case Profit—0
ARNN: Attentive Recurrent Neural Network for Multi-channel EEG Signals to Identify Epileptic SeizuresCode1
A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral imagesCode0
Data Collaboration Analysis with Orthonormal Basis Selection and Alignment—0
Hybridizing Traditional and Next-Generation Reservoir Computing to Accurately and Efficiently Forecast Dynamical SystemsCode0
Vanilla Transformers are Transfer Capability Teachers—0
Interpretable Models for Detecting and Monitoring Elevated Intracranial Pressure—0
Revisiting Learning-based Video Motion Magnification for Real-time Processing—0
A Simple Baseline for Efficient Hand Mesh ReconstructionCode2
DUFOMap: Efficient Dynamic Awareness MappingCode3
Real-time hybrid controls of energy storage and load shedding for integrated power and energy systems of ships—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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified