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 2101–2150 of 4891 papers

TitleStatusHype
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing—0
Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion ModelsCode0
Effective Interplay between Sparsity and Quantization: From Theory to Practice—0
YotoR-You Only Transform One Representation—0
TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes—0
Hierarchical Object-Centric Learning with Capsule Networks—0
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution ShiftsCode0
DecomCAM: Advancing Beyond Saliency Maps through Decomposition and IntegrationCode0
CiliaGraph: Enabling Expression-enhanced Hyper-Dimensional Computation in Ultra-Lightweight and One-Shot Graph Classification on Edge—0
Use of Boosting Algorithms in Household-Level Poverty Measurement: A Machine Learning Approach to Predict and Classify Household Wealth Quintiles in the Philippines—0
Combining Off-White and Sparse Black Models in Multi-step Physics-based Systems Identification -- EXTENDED VERSION—0
SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound GenerationCode2
An Innovative Networks in Federated Learning—0
Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language ModelsCode2
Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed TomographyCode4
PromptWizard: Task-Aware Prompt Optimization FrameworkCode7
Cross-Context Backdoor Attacks against Graph Prompt LearningCode0
On Fairness of Low-Rank Adaptation of Large ModelsCode0
Performance evaluation of Reddit Comments using Machine Learning and Natural Language Processing methods in Sentiment Analysis—0
Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear q^π-Realizability and Concentrability—0
Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent FlowsCode2
CLAQ: Pushing the Limits of Low-Bit Post-Training Quantization for LLMsCode0
Probabilistic Graph Rewiring via Virtual NodesCode0
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation—0
Enhancing Fast Feed Forward Networks with Load Balancing and a Master Leaf NodeCode1
Efficient Ensembles Improve Training Data Attribution—0
AdaFisher: Adaptive Second Order Optimization via Fisher InformationCode2
Node Identifiers: Compact, Discrete Representations for Efficient Graph LearningCode1
vHeat: Building Vision Models upon Heat ConductionCode3
Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection—0
Expert-Token Resonance: Redefining MoE Routing through Affinity-Driven Active Selection—0
MUCM-Net: A Mamba Powered UCM-Net for Skin Lesion SegmentationCode0
FTMixer: Frequency and Time Domain Representations Fusion for Time Series ModelingCode1
MonoDETRNext: Next-Generation Accurate and Efficient Monocular 3D Object Detector—0
Blaze3DM: Marry Triplane Representation with Diffusion for 3D Medical Inverse Problem Solving—0
Efficient Degradation-aware Any Image Restoration—0
PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud AnalysisCode2
Repetita Iuvant: Data Repetition Allows SGD to Learn High-Dimensional Multi-Index FunctionsCode0
A Survey of Distributed Learning in Cloud, Mobile, and Edge Settings—0
Computation-efficient Virtual Sensing Approach with Multichannel Adjoint Least Mean Square Algorithm—0
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models—0
An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models—0
Graphlets correct for the topological information missed by random walks—0
Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-ContrastCode1
Graph neural networks informed locally by thermodynamicsCode0
3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification—0
Enhancing Transformer-based models for Long Sequence Time Series Forecasting via Structured MatrixCode0
Efficient Economic Model Predictive Control of Water Treatment Process with Learning-based Koopman Operator—0
Learning Causal Dynamics Models in Object-Oriented EnvironmentsCode0
Wav-KAN: Wavelet Kolmogorov-Arnold NetworksCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified