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 2426–2450 of 4891 papers

TitleStatusHype
An Efficient Procedure for Computing Bayesian Network Structure Learning—0
Imperfect Vision Encoders: Efficient and Robust Tuning for Vision-Language Models—0
Evaluating Uncertainties in Electricity Markets via Machine Learning and Quantum Computing—0
CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric TransformationCode0
Quantum Computing for Climate Resilience and Sustainability Challenges—0
Enhancing GNNs Performance on Combinatorial Optimization by Recurrent Feature Update—0
On-the-fly spectral unmixing based on Kalman filtering—0
Robust personalized pricing under uncertainty of purchase probabilities—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
Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction—0
Scalable Exploration via Ensemble++Code0
Predictive control for nonlinear stochastic systems: Closed-loop guarantees with unbounded noise—0
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets—0
Quantum Natural Stochastic Pairwise Coordinate DescentCode0
Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model—0
QVD: Post-training Quantization for Video Diffusion Models—0
Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse ProblemsCode0
A Benchmark for Fairness-Aware Graph Learning—0
RIMformer: An End-to-End Transformer for FMCW Radar Interference Mitigation—0
PADRe: A Unifying Polynomial Attention Drop-in Replacement for Efficient Vision Transformer—0
On Machine Learning Approaches for Protein-Ligand Binding Affinity Prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified