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SemSup: Semantic Supervision for Simple and Scalable Zero-shot
  Generalization

SemSup: Semantic Supervision for Simple and Scalable Zero-shot Generalization

26 February 2022
Austin W. Hanjie
A. Deshpande
Karthik Narasimhan
    VLM
ArXivPDFHTML

Papers citing "SemSup: Semantic Supervision for Simple and Scalable Zero-shot Generalization"

6 / 6 papers shown
Title
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
203
1,651
0
15 Oct 2021
Skill Induction and Planning with Latent Language
Skill Induction and Planning with Latent Language
Pratyusha Sharma
Antonio Torralba
Jacob Andreas
LM&Ro
190
108
0
04 Oct 2021
Grounding Language to Entities and Dynamics for Generalization in
  Reinforcement Learning
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning
H. Wang
Victor Zhong
Karthik Narasimhan
76
53
0
19 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,898
0
31 Dec 2020
ExpBERT: Representation Engineering with Natural Language Explanations
ExpBERT: Representation Engineering with Natural Language Explanations
Shikhar Murty
Pang Wei Koh
Percy Liang
35
43
0
05 May 2020
Learning Deep Representations of Fine-grained Visual Descriptions
Learning Deep Representations of Fine-grained Visual Descriptions
Scott E. Reed
Zeynep Akata
Bernt Schiele
Honglak Lee
OCL
VLM
160
841
0
17 May 2016
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