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 551–600 of 4891 papers

TitleStatusHype
Dynamic Cardiac MRI Reconstruction Using Combined Tensor Nuclear Norm and Casorati Matrix Nuclear Norm RegularizationsCode1
Dropout Q-Functions for Doubly Efficient Reinforcement LearningCode1
DQO-MAP: Dual Quadrics Multi-Object mapping with Gaussian SplattingCode1
DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman ProblemCode1
Dynamic Clustering and Cluster Contrastive Learning for Unsupervised Person Re-identificationCode1
DMM: Disparity-guided Multispectral Mamba for Oriented Object Detection in Remote SensingCode1
Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object DetectionCode1
DiRe-JAX: A JAX based Dimensionality Reduction Algorithm for Large-scale DataCode1
DispFormer: Pretrained Transformer for Flexible Dispersion Curve Inversion from Global Synthesis to Regional ApplicationsCode1
Differentially Flat Learning-based Model Predictive Control Using a Stability, State, and Input Constraining Safety FilterCode1
Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellationCode1
DiGRAF: Diffeomorphic Graph-Adaptive Activation FunctionCode1
A State-Space Perspective on Modelling and Inference for Online Skill RatingCode1
Delving into Masked Autoencoders for Multi-Label Thorax Disease ClassificationCode1
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation LearningCode1
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernelsCode1
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and ExplainabilityCode1
A Survey of World Models for Autonomous DrivingCode1
DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion ModelCode1
DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-ResolutionCode1
DnS: Distill-and-Select for Efficient and Accurate Video Indexing and RetrievalCode1
DynamicDet: A Unified Dynamic Architecture for Object DetectionCode1
DeepSeeColor: Realtime Adaptive Color Correction for Autonomous Underwater Vehicles via Deep Learning MethodsCode1
Deep reinforcement learning for large-scale epidemic controlCode1
Deep Speech Synthesis from MRI-Based Articulatory RepresentationsCode1
DeePoly: A High-Order Accuracy Scientific Machine Learning Framework for Function Approximation and Solving PDEsCode1
Attention, Please! Revisiting Attentive Probing for Masked Image ModelingCode1
DeepOPF-V: Solving AC-OPF Problems EfficientlyCode1
Deep Transfer Learning for Land Use and Land Cover Classification: A Comparative StudyCode1
Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire DetectionCode1
A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewardsCode1
Efficient and Information-Preserving Future Frame Prediction and BeyondCode1
Deep Implicit Moving Least-Squares Functions for 3D ReconstructionCode1
Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive HypergraphsCode1
Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion DeblurringCode1
Efficient Neural Implicit Representation for 3D Human ReconstructionCode1
AI Accelerator Survey and TrendsCode1
Efficient RAW Image Deblurring with Adaptive Frequency ModulationCode1
Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTMCode1
Electronic-structure properties from atom-centered predictions of the electron densityCode1
Accelerated and interpretable oblique random survival forestsCode1
Augmented Lagrangian Adversarial AttacksCode1
Attention U-Net: Learning Where to Look for the PancreasCode1
Energy-based physics-informed neural network for frictionless contact problems under large deformationCode1
AIM 2024 Challenge on UHD Blind Photo Quality AssessmentCode1
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR)Code1
Deep Learning for Hate Speech Detection: A Comparative StudyCode1
SE(3) Equivariant Graph Neural Networks with Complete Local FramesCode1
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model TrainingCode1
DCT-SNN: Using DCT to Distribute Spatial Information over Time for Learning Low-Latency Spiking Neural NetworksCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified