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

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Showing 2431–2440 of 4891 papers

TitleStatusHype
Imperfect Vision Encoders: Efficient and Robust Tuning for Vision-Language Models—0
Robust personalized pricing under uncertainty of purchase probabilities—0
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
FairViT: Fair Vision Transformer via Adaptive MaskingCode0
-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite DimensionsCode0
LORTSAR: Low-Rank Transformer for Skeleton-based Action Recognition—0
Predictive control for nonlinear stochastic systems: Closed-loop guarantees with unbounded noise—0
Scalable Exploration via Ensemble++Code0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified