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

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Showing 651–700 of 4891 papers

TitleStatusHype
CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography Angiography via Context-Aware Shifted Window Self-AttentionCode1
Hyp2Nav: Hyperbolic Planning and Curiosity for Crowd NavigationCode1
A machine learning-based viscoelastic-viscoplastic model for epoxy nanocomposites with moisture contentCode1
MotionBEV: Attention-Aware Online LiDAR Moving Object Segmentation with Bird's Eye View based Appearance and Motion FeaturesCode1
Checkerboard Context Model for Efficient Learned Image CompressionCode1
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernelsCode1
MSFMamba: Multi-Scale Feature Fusion State Space Model for Multi-Source Remote Sensing Image ClassificationCode1
MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and ClassificationCode1
DiGRAF: Diffeomorphic Graph-Adaptive Activation FunctionCode1
Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellationCode1
Differentially Flat Learning-based Model Predictive Control Using a Stability, State, and Input Constraining Safety FilterCode1
Hyper-CL: Conditioning Sentence Representations with HypernetworksCode1
A Simple Local Minimal Intensity Prior and An Improved Algorithm for Blind Image DeblurringCode1
Change State Space Models for Remote Sensing Change DetectionCode1
A Walsh Hadamard Derived Linear Vector Symbolic ArchitectureCode1
AMD-Hummingbird: Towards an Efficient Text-to-Video ModelCode1
DiRe-JAX: A JAX based Dimensionality Reduction Algorithm for Large-scale DataCode1
BabyAI 1.1Code1
Multi-scale Matching Networks for Semantic CorrespondenceCode1
Backpropagated Gradient Representations for Anomaly DetectionCode1
How Can We Be So Dense? The Benefits of Using Highly Sparse RepresentationsCode1
DispFormer: Pretrained Transformer for Flexible Dispersion Curve Inversion from Global Synthesis to Regional ApplicationsCode1
CFT-RAG: An Entity Tree Based Retrieval Augmented Generation Algorithm With Cuckoo FilterCode1
Enhancing Vision-Language Few-Shot Adaptation with Negative LearningCode1
Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics?Code1
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