ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2109.01691
  4. Cited By
ALLWAS: Active Learning on Language models in WASserstein space

ALLWAS: Active Learning on Language models in WASserstein space

3 September 2021
Anson Bastos
Manohar Kaul
    MedIm
ArXivPDFHTML

Papers citing "ALLWAS: Active Learning on Language models in WASserstein space"

2 / 2 papers shown
Title
Cache & Distil: Optimising API Calls to Large Language Models
Cache & Distil: Optimising API Calls to Large Language Models
Guillem Ramírez
Matthias Lindemann
Alexandra Birch
Ivan Titov
32
3
0
20 Oct 2023
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1