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 4251–4300 of 4891 papers

TitleStatusHype
Accelerated Alternating Projections for Robust Principal Component AnalysisCode0
A Cascaded Dilated Convolution Approach for Mpox Lesion ClassificationCode0
Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature SharingCode0
A Bootstrap-based Method for Testing Network SimilarityCode0
CrowdSplat: Exploring Gaussian Splatting For Crowd RenderingCode0
A LoRA-Based Approach to Fine-Tuning LLMs for Educational Guidance in Resource-Constrained SettingsCode0
Learning-based model augmentation with LFRsCode0
TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural Architecture Search in Time Series Anomaly DetectionCode0
Learning Causal Dynamics Models in Object-Oriented EnvironmentsCode0
Bi-fidelity Variational Auto-encoder for Uncertainty QuantificationCode0
Efficient End-to-End Video Question Answering with Pyramidal Multimodal TransformerCode0
Cross Language Soccer Framework: An Open Source Framework for the RoboCup 2D Soccer SimulationCode0
SPRMamba: Surgical Phase Recognition for Endoscopic Submucosal Dissection with MambaCode0
Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with Random BasesCode0
Learning Decision Trees and Forests with Algorithmic RecourseCode0
Robust optimal well control using an adaptive multi-grid reinforcement learning frameworkCode0
Efficient Deployment of Transformer Models in Analog In-Memory Computing HardwareCode0
Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive UncertaintiesCode0
Learning Directly from Grammar Compressed TextCode0
YOLIC: An Efficient Method for Object Localization and Classification on Edge DevicesCode0
Cross-D Conv: Cross-Dimensional Transferable Knowledge Base via Fourier Shifting OperationCode0
Learning Dynamical Systems Encoding Non-Linearity within Space CurvatureCode0
A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral imagesCode0
The Power of Negative Zero: Datatype Customization for Quantized Large Language ModelsCode0
Learning Efficient Representations of Neutrino Telescope EventsCode0
HADL Framework for Noise Resilient Long-Term Time Series ForecastingCode0
Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion TheoryCode0
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy ReductionCode0
Learning Gaussian Graphical Models with Ordered Weighted L1 RegularizationCode0
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated LearningCode0
Cross-Context Backdoor Attacks against Graph Prompt LearningCode0
Multi-head Spatial-Spectral Mamba for Hyperspectral Image ClassificationCode0
Accelerating Bayesian Structure Learning in Sparse Gaussian Graphical ModelsCode0
Learning Joint Denoising, Demosaicing, and Compression from the Raw Natural Image Noise DatasetCode0
3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth EstimationCode0
Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria RecommendationCode0
Scalable Exploration via Ensemble++Code0
Group and Shuffle: Efficient Structured Orthogonal ParametrizationCode0
Beyond Prediction: On-street Parking Recommendation using Heterogeneous Graph-based List-wise RankingCode0
Learning Mixtures of Plackett-Luce Models from Structured Partial OrdersCode0
Tree-Guided L_1-Convex ClusteringCode0
Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria RecommendationCode0
CRISP: Hybrid Structured Sparsity for Class-aware Model PruningCode0
Weighted Anisotropic-Isotropic Total Variation for Poisson DenoisingCode0
CTR-KAN: KAN for Adaptive High-Order Feature Interaction ModelingCode0
GenQ: Quantization in Low Data Regimes with Generative Synthetic DataCode0
Route to Reason: Adaptive Routing for LLM and Reasoning Strategy SelectionCode0
Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-ConcatenationCode0
Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision TransformersCode0
BERT-LSH: Reducing Absolute Compute For AttentionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified