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 1901–1950 of 4891 papers

TitleStatusHype
AI Safety in Practice: Enhancing Adversarial Robustness in Multimodal Image Captioning—0
Machine learning surrogates for efficient hydrologic modeling: Insights from stochastic simulations of managed aquifer recharge—0
Context-Enhanced CSI Tracking Using Koopman-Inspired Dual Autoencoders in Dynamic Wireless Environments—0
LatentArtiFusion: An Effective and Efficient Histological Artifacts Restoration FrameworkCode0
GNN-Based Joint Channel and Power Allocation in Heterogeneous Wireless Networks—0
Taylor-Expansion-Based Robust Power Flow in Unbalanced Distribution Systems: A Hybrid Data-Aided Method—0
Faster Image2Video Generation: A Closer Look at CLIP Image Embedding's Impact on Spatio-Temporal Cross-Attentions—0
Sewer Image Super-Resolution with Depth Priors and Its Lightweight Network—0
Multilevel Monte Carlo in Sample Average Approximation: Convergence, Complexity and Application—0
VIMs: Virtual Immunohistochemistry Multiplex staining via Text-to-Stain Diffusion Trained on Uniplex Stains—0
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 Models—0
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?Code2
CSWin-UNet: Transformer UNet with Cross-Shaped Windows for Medical Image SegmentationCode1
Scalify: scale propagation for efficient low-precision LLM trainingCode1
SDoH-GPT: Using Large Language Models to Extract Social Determinants of Health (SDoH)—0
Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic SegmentationCode1
An Efficient Procedure for Computing Bayesian Network Structure Learning—0
Evaluating Uncertainties in Electricity Markets via Machine Learning and Quantum Computing—0
Quantum Computing for Climate Resilience and Sustainability Challenges—0
Imperfect Vision Encoders: Efficient and Robust Tuning for Vision-Language Models—0
CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric TransformationCode0
Enhancing GNNs Performance on Combinatorial Optimization by Recurrent Feature Update—0
Robust personalized pricing under uncertainty of purchase probabilities—0
SpotDiffusion: A Fast Approach For Seamless Panorama Generation Over TimeCode1
On-the-fly spectral unmixing based on Kalman filtering—0
An Interface Method for Co-simulation of EMT Model and Shifted Frequency EMT Model Based on Rotational Invariance Techniques—0
Leveraging Uniformization and Sparsity for Computation of Continuous Time Dynamic Discrete Choice Games—0
-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 Recognition—0
Quantum Natural Stochastic Pairwise Coordinate DescentCode0
Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction—0
Hyp2Nav: Hyperbolic Planning and Curiosity for Crowd NavigationCode1
Predictive control for nonlinear stochastic systems: Closed-loop guarantees with unbounded noise—0
Scalable Exploration via Ensemble++Code0
Wavelet-based Bi-dimensional Aggregation Network for SAR Image Change DetectionCode1
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets—0
Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model—0
Relational Representation DistillationCode1
PADRe: A Unifying Polynomial Attention Drop-in Replacement for Efficient Vision Transformer—0
RIMformer: An End-to-End Transformer for FMCW Radar Interference Mitigation—0
A Benchmark for Fairness-Aware Graph Learning—0
Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse ProblemsCode0
QVD: Post-training Quantization for Video Diffusion Models—0
On Machine Learning Approaches for Protein-Ligand Binding Affinity Prediction—0
Enhancing Stochastic Optimization for Statistical Efficiency Using ROOT-SGD with Diminishing Stepsize—0
DUCPS: Deep Unfolding the Cauchy Proximal Splitting Algorithm for B-Lines Quantification in Lung Ultrasound Images—0
Deep Learning Evidence for Global Optimality of Gerver's SofaCode0
TCM-FTP: Fine-Tuning Large Language Models for Herbal Prescription Prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified