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 3621–3630 of 4891 papers

TitleStatusHype
Statistical and Computational Efficiency for Smooth Tensor Estimation with Unknown Permutations—0
AI challenges for predicting the impact of mutations on protein stability—0
Trajectory PHD and CPHD Filters with Unknown Detection Profile—0
Dual Parameterization of Sparse Variational Gaussian ProcessesCode0
Leveraging Advantages of Interactive and Non-Interactive Models for Vector-Based Cross-Lingual Information Retrieval—0
Conformal testing: binary case with Markov alternatives—0
Off-Policy Correction for Deep Deterministic Policy Gradient Algorithms via Batch Prioritized Experience Replay—0
Unseen Entity Handling in Complex Question Answering over Knowledge Base via Language Generation—0
Low Resource Quadratic Forms for Knowledge Graph Embeddings—0
Gaussian Kernel Mixture Network for Single Image Defocus DeblurringCode1
Show:102550
← PrevPage 363 of 490Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified