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 676–700 of 4891 papers

TitleStatusHype
Neural incomplete factorization: learning preconditioners for the conjugate gradient methodCode1
How Much Can Time-related Features Enhance Time Series Forecasting?Code1
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance ProblemsCode1
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and MappingCode1
CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI SynthesisCode1
A Control-Oriented Simplified Single Particle Model with Grouped Parameter and Sensitivity Analysis for Lithium-Ion BatteriesCode1
ntLink: a toolkit for de novo genome assembly scaffolding and mapping using long readsCode1
Obtaining Better Static Word Embeddings Using Contextual Embedding ModelsCode1
Occult: Optimizing Collaborative Communication across Experts for Accelerated Parallel MoE Training and InferenceCode1
DQO-MAP: Dual Quadrics Multi-Object mapping with Gaussian SplattingCode1
DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion ModelCode1
Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentationCode1
Dual Prototype Evolving for Test-Time Generalization of Vision-Language ModelsCode1
On Evaluation Metrics for Graph Generative ModelsCode1
Bayesian inference for logistic models using Polya-Gamma latent variablesCode1
Calibrating LLMs with Information-Theoretic Evidential Deep LearningCode1
Learning Enriched Features via Selective State Spaces Model for Efficient Image DeblurringCode1
CAMP: Collaborative Attention Model with Profiles for Vehicle Routing ProblemsCode1
Highly accurate and efficient deep learning paradigm for full-atom protein loop modeling with KarmaLoopCode1
DynamicDet: A Unified Dynamic Architecture for Object DetectionCode1
Dynamic Clustering and Cluster Contrastive Learning for Unsupervised Person Re-identificationCode1
Dynamic Group Convolution for Accelerating Convolutional Neural NetworksCode1
Dynamic Implicit Image Function for Efficient Arbitrary-Scale Image RepresentationCode1
Cached Multi-Lora Composition for Multi-Concept Image GenerationCode1
Heat flux for semi-local machine-learning potentialsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified