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MTTN: Multi-Pair Text to Text Narratives for Prompt Generation

MTTN: Multi-Pair Text to Text Narratives for Prompt Generation

Archan Ghosh
Debgandhar Ghosh
Madhurima Maji
Suchinta Chanda
Kalporup Goswami
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Papers citing "MTTN: Multi-Pair Text to Text Narratives for Prompt Generation"

4 / 4 papers shown
Title
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning
Krishna Srinivasan
K. Raman
Jiecao Chen
Michael Bendersky
Marc Najork
VLM
253
316
0
02 Mar 2021
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDa
DiffM
230
3,893
0
12 Jul 2019
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
Bryan A. Plummer
Liwei Wang
Christopher M. Cervantes
Juan C. Caicedo
Julia Hockenmaier
Svetlana Lazebnik
193
2,056
0
19 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDa
DiffM
290
6,931
0
12 Mar 2015

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