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 24012450 of 4891 papers

TitleStatusHype
Hybrid Coordinate Descent for Efficient Neural Network Learning Using Line Search and Gradient Descent0
Multi-head Spatial-Spectral Mamba for Hyperspectral Image ClassificationCode0
WaveMamba: Spatial-Spectral Wavelet Mamba for Hyperspectral Image Classification0
NeuralFactors: A Novel Factor Learning Approach to Generative Modeling of Equities0
GNN-SKAN: Harnessing the Power of SwallowKAN to Advance Molecular Representation Learning with GNNs0
Cross-Scan Mamba with Masked Training for Robust Spectral Imaging0
High Performance Im2win and Direct Convolutions using Three Tensor Layouts on SIMD Architectures0
MonoMM: A Multi-scale Mamba-Enhanced Network for Real-time Monocular 3D Object Detection0
An Extended Kalman Filter Integrated Latent Feature Model on Dynamic Weighted Directed Graphs0
SHA-CNN: Scalable Hierarchical Aware Convolutional Neural Network for Edge AI0
Exploiting Change Blindness for Video Coding: Perspectives from a Less Promising User Study0
Machine learning surrogates for efficient hydrologic modeling: Insights from stochastic simulations of managed aquifer recharge0
AI Safety in Practice: Enhancing Adversarial Robustness in Multimodal Image Captioning0
Integrating Agent-Based and Compartmental Models for Infectious Disease Modeling: A Novel Hybrid Approach0
Context-Enhanced CSI Tracking Using Koopman-Inspired Dual Autoencoders in Dynamic Wireless Environments0
LatentArtiFusion: An Effective and Efficient Histological Artifacts Restoration FrameworkCode0
GNN-Based Joint Channel and Power Allocation in Heterogeneous Wireless Networks0
Taylor-Expansion-Based Robust Power Flow in Unbalanced Distribution Systems: A Hybrid Data-Aided Method0
Faster Image2Video Generation: A Closer Look at CLIP Image Embedding's Impact on Spatio-Temporal Cross-Attentions0
Sewer Image Super-Resolution with Depth Priors and Its Lightweight Network0
VIMs: Virtual Immunohistochemistry Multiplex staining via Text-to-Stain Diffusion Trained on Uniplex Stains0
Multilevel Monte Carlo in Sample Average Approximation: Convergence, Complexity and Application0
Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual PersistenceCode0
UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language Models0
SDoH-GPT: Using Large Language Models to Extract Social Determinants of Health (SDoH)0
An Efficient Procedure for Computing Bayesian Network Structure Learning0
Imperfect Vision Encoders: Efficient and Robust Tuning for Vision-Language Models0
Evaluating Uncertainties in Electricity Markets via Machine Learning and Quantum Computing0
CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric TransformationCode0
Quantum Computing for Climate Resilience and Sustainability Challenges0
Enhancing GNNs Performance on Combinatorial Optimization by Recurrent Feature Update0
On-the-fly spectral unmixing based on Kalman filtering0
Robust personalized pricing under uncertainty of purchase probabilities0
An Interface Method for Co-simulation of EMT Model and Shifted Frequency EMT Model Based on Rotational Invariance Techniques0
Leveraging Uniformization and Sparsity for Computation of Continuous Time Dynamic Discrete Choice Games0
-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite DimensionsCode0
FairViT: Fair Vision Transformer via Adaptive MaskingCode0
LORTSAR: Low-Rank Transformer for Skeleton-based Action Recognition0
Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction0
Scalable Exploration via Ensemble++Code0
Predictive control for nonlinear stochastic systems: Closed-loop guarantees with unbounded noise0
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets0
Quantum Natural Stochastic Pairwise Coordinate DescentCode0
Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model0
QVD: Post-training Quantization for Video Diffusion Models0
Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse ProblemsCode0
A Benchmark for Fairness-Aware Graph Learning0
RIMformer: An End-to-End Transformer for FMCW Radar Interference Mitigation0
PADRe: A Unifying Polynomial Attention Drop-in Replacement for Efficient Vision Transformer0
On Machine Learning Approaches for Protein-Ligand Binding Affinity Prediction0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified