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 24512500 of 4891 papers

TitleStatusHype
Curriculum reinforcement learning for quantum architecture search under hardware errors0
Representation Surgery for Multi-Task Model MergingCode1
Nonlinear subspace clustering by functional link neural networks0
A Survey on Graph Condensation0
kNN Algorithm for Conditional Mean and Variance Estimation with Automated Uncertainty Quantification and Variable Selection0
Scalable Multi-modal Model Predictive Control via Duality-based Interaction PredictionsCode1
A Robust Super-resolution Gridless Imaging Framework for UAV-borne SAR Tomography0
Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations0
Multivariate Probabilistic Time Series Forecasting with Correlated ErrorsCode1
Parallel Spiking Unit for Efficient Training of Spiking Neural Networks0
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State SpacesCode3
Reimagining Reality: A Comprehensive Survey of Video Inpainting Techniques0
Speeding up and reducing memory usage for scientific machine learning via mixed precisionCode1
Improving Global Weather and Ocean Wave Forecast with Large Artificial Intelligence Models0
EmoDM: A Diffusion Model for Evolutionary Multi-objective Optimization0
Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier SeriesCode0
Brain Tumor Diagnosis Using Quantum Convolutional Neural Networks0
OMPGPT: A Generative Pre-trained Transformer Model for OpenMP0
Statistical Significance of Feature Importance RankingsCode0
Mitigating the Impact of Noisy Edges on Graph-Based Algorithms via Adversarial Robustness Evaluation0
L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial AttacksCode2
Open-RadVLAD: Fast and Robust Radar Place RecognitionCode1
Adaptive Deep Learning for Efficient Visual Pose Estimation aboard Ultra-low-power Nano-drones0
Linear Periodically Time-Variant Digital PLL Phase Noise Modeling Using Conversion Matrices and Uncorrelated UpsamplingCode0
Spectral Clustering for Discrete Distributions0
Learning to Manipulate Artistic ImagesCode1
MambaByte: Token-free Selective State Space Model0
Unified-Width Adaptive Dynamic Network for All-In-One Image RestorationCode1
Unified Spatio-Temporal Tri-Perspective View Representation for 3D Semantic Occupancy Prediction0
RefreshNet: Learning Multiscale Dynamics through Hierarchical Refreshing0
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence0
PlaceFormer: Transformer-based Visual Place Recognition using Multi-Scale Patch Selection and Fusion0
An Efficient Implicit Neural Representation Image Codec Based on Mixed Autoregressive Model for Low-Complexity Decoding0
CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography Angiography via Context-Aware Shifted Window Self-AttentionCode1
Falcon: Fair Active Learning using Multi-armed BanditsCode0
DITTO: Diffusion Inference-Time T-Optimization for Music Generation0
A Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection0
MOSformer: Momentum encoder-based inter-slice fusion transformer for medical image segmentation0
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning0
TIM: An Efficient Temporal Interaction Module for Spiking Transformer0
A Fast Effective Greedy Approach for MU-MIMO Beam Selection in mm-Wave and THz Communications0
immrax: A Parallelizable and Differentiable Toolbox for Interval Analysis and Mixed Monotone Reachability in JAXCode1
Identifying and Analyzing Task-Encoding Tokens in Large Language Models0
Efficient Data Shapley for Weighted Nearest Neighbor Algorithms0
I-SplitEE: Image classification in Split Computing DNNs with Early ExitsCode0
VMamba: Visual State Space ModelCode7
Curriculum Recommendations Using Transformer Base Model with InfoNCE Loss And Language Switching Method0
Inverse analysis of granular flows using differentiable graph neural network simulator0
Functional Autoencoder for Smoothing and Representation LearningCode0
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series TasksCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified