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 1926–1950 of 4891 papers

TitleStatusHype
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