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

Showing 901950 of 4891 papers

TitleStatusHype
OpenSplat3D: Open-Vocabulary 3D Instance Segmentation using Gaussian Splatting0
GaussianVAE: Adaptive Learning Dynamics of 3D Gaussians for High-Fidelity Super-Resolution0
Accelerating Spectral Clustering under Fairness Constraints0
Lightweight Sequential Transformers for Blood Glucose Level Prediction in Type-1 Diabetes0
HyColor: An Efficient Heuristic Algorithm for Graph Coloring0
MapBERT: Bitwise Masked Modeling for Real-Time Semantic Mapping Generation0
Toward Reliable AR-Guided Surgical Navigation: Interactive Deformation Modeling with Data-Driven Biomechanics and PromptsCode0
Dual-Priv Pruning : Efficient Differential Private Fine-Tuning in Multimodal Large Language Models0
Simultaneous Segmentation of Ventricles and Normal/Abnormal White Matter Hyperintensities in Clinical MRI using Deep Learning0
Bio-Inspired Classification: Combining Information Theory and Spiking Neural Networks -- Influence of the Learning Rules0
Vid2Sim: Generalizable, Video-based Reconstruction of Appearance, Geometry and Physics for Mesh-free Simulation0
Unlocking Chemical Insights: Superior Molecular Representations from Intermediate Encoder LayersCode0
DynamicMind: A Tri-Mode Thinking System for Large Language Models0
Efficient Robust Conformal Prediction via Lipschitz-Bounded NetworksCode0
A Survey on Vietnamese Document Analysis and Recognition: Challenges and Future Directions0
U-NetMN and SegNetMN: Modified U-Net and SegNet models for bimodal SAR image segmentation0
TALL -- A Trainable Architecture for Enhancing LLM Performance in Low-Resource Languages0
Long or short CoT? Investigating Instance-level Switch of Large Reasoning Models0
An Improved Finite Element Modeling Method for Triply Periodic Minimal Surface Structures Based on Element Size and Minimum Jacobian0
GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money LaunderingCode0
SF^2Bench: Evaluating Data-Driven Models for Compound Flood Forecasting in South Florida0
Pruning Everything, Everywhere, All at OnceCode0
Advancing Decoding Strategies: Enhancements in Locally Typical Sampling for LLMs0
FuXi-Ocean: A Global Ocean Forecasting System with Sub-Daily Resolution0
Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation0
Q-ARDNS-Multi: A Multi-Agent Quantum Reinforcement Learning Framework with Meta-Cognitive Adaptation for Complex 3D Environments0
NepTrain and NepTrainKit: Automated Active Learning and Visualization Toolkit for Neuroevolution Potentials0
FreqPolicy: Frequency Autoregressive Visuomotor Policy with Continuous Tokens0
HENT-SRT: Hierarchical Efficient Neural Transducer with Self-Distillation for Joint Speech Recognition and Translation0
Sparse Imagination for Efficient Visual World Model Planning0
Alternates, Assemble! Selecting Optimal Alternates for Citizens' Assemblies0
Attention Is Not Always the Answer: Optimizing Voice Activity Detection with Simple Feature Fusion0
LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines0
Beyond Attention: Learning Spatio-Temporal Dynamics with Emergent Interpretable Topologies0
Quantization-based Bounds on the Wasserstein Metric0
Fighting Fire with Fire (F3): A Training-free and Efficient Visual Adversarial Example Purification Method in LVLMs0
Neural Network-based Information-Theoretic Transceivers for High-Order Modulation Schemes0
Latent Wavelet Diffusion: Enabling 4K Image Synthesis for Free0
Learning to Upsample and Upmix Audio in the Latent Domain0
Label-shift robust federated feature screening for high-dimensional classification0
The Security Threat of Compressed Projectors in Large Vision-Language Models0
TumorGen: Boundary-Aware Tumor-Mask Synthesis with Rectified Flow Matching0
Pretraining Deformable Image Registration Networks with Random ImagesCode0
Hyperbolic Dataset Distillation0
K^2IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson ProcessesCode0
HLSAD: Hodge Laplacian-based Simplicial Anomaly Detection0
Edge Computing for Physics-Driven AI in Computational MRI: A Feasibility Study0
Learning to Search for Vehicle Routing with Multiple Time Windows0
Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling0
Learning Interpretable Differentiable Logic Networks for Tabular Regression0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified