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 751–800 of 4891 papers

TitleStatusHype
Change State Space Models for Remote Sensing Change DetectionCode1
InRank: Incremental Low-Rank LearningCode1
InTAR: Inter-Task Auto-Reconfigurable Accelerator Design for High Data Volume Variation in DNNsCode1
itKD: Interchange Transfer-based Knowledge Distillation for 3D Object DetectionCode1
CAMP: Collaborative Attention Model with Profiles for Vehicle Routing ProblemsCode1
Fast and Interpretable 2D Homography Decomposition: Similarity-Kernel-Similarity and Affine-Core-Affine TransformationsCode1
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networksCode1
Improving Temporal Link Prediction via Temporal Walk Matrix ProjectionCode1
Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation SpaceCode1
Fast ground penetrating radar dual-parameter full waveform inversion method accelerated by hybrid compilation of CUDA kernel function and PyTorchCode1
SelfElicit: Your Language Model Secretly Knows Where is the Relevant EvidenceCode1
Self-grouping Convolutional Neural NetworksCode1
A Reverse Mamba Attention Network for Pathological Liver SegmentationCode1
Semantic Segmentation of Underwater Imagery: Dataset and BenchmarkCode1
Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image ClassificationCode1
SepLUT: Separable Image-adaptive Lookup Tables for Real-time Image EnhancementCode1
CalibQuant: 1-Bit KV Cache Quantization for Multimodal LLMsCode1
Calibrating LLMs with Information-Theoretic Evidential Deep LearningCode1
InceptionMamba: An Efficient Hybrid Network with Large Band Convolution and Bottleneck MambaCode1
CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI SynthesisCode1
A Flexible 2.5D Medical Image Segmentation Approach with In-Slice and Cross-Slice AttentionCode1
Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label FusionCode1
Fast Sequence Based Embedding with Diffusion GraphsCode1
Fast Sequence-Based Embedding with Diffusion GraphsCode1
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud RegistrationCode1
SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health TreatmentCode1
featsel: A framework for benchmarking of feature selection algorithms and cost functionsCode1
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-ResolutionCode1
Spatial and Spatial-Spectral Morphological Mamba for Hyperspectral Image ClassificationCode1
SoftCTC -- Semi-Supervised Learning for Text Recognition using Soft Pseudo-LabelsCode1
Federated Bayesian Optimization via Thompson SamplingCode1
Cached Multi-Lora Composition for Multi-Concept Image GenerationCode1
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance ProblemsCode1
Real-Time Machine-Learning-Based Optimization Using Input Convex Long Short-Term Memory NetworkCode1
It's Not the Target, It's the Background: Rethinking Infrared Small Target Detection via Deep Patch-Free Low-Rank RepresentationsCode1
FedPop: Federated Population-based Hyperparameter TuningCode1
Adaptive wavelet distillation from neural networks through interpretationsCode1
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated LearningCode1
Ferret: Federated Full-Parameter Tuning at Scale for Large Language ModelsCode1
SparseIDS: Learning Packet Sampling with Reinforcement LearningCode1
AdaRank: Adaptive Rank Pruning for Enhanced Model MergingCode1
Finer-CAM: Spotting the Difference Reveals Finer Details for Visual ExplanationCode1
M^3amba: CLIP-driven Mamba Model for Multi-modal Remote Sensing ClassificationCode1
Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object DetectionCode1
Simple random search provides a competitive approach to reinforcement learningCode1
Fine-tuning a Large Language Model for Automating Computational Fluid Dynamics SimulationsCode1
Prompt Tuned Embedding Classification for Multi-Label Industry Sector AllocationCode1
Speeding up and reducing memory usage for scientific machine learning via mixed precisionCode1
Implicit Regularization for Optimal Sparse RecoveryCode0
ArchComplete: Autoregressive 3D Architectural Design Generation with Hierarchical Diffusion-Based UpsamplingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified