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Probing Contextual Language Models for Common Ground with Visual
  Representations
v1v2v3v4v5 (latest)

Probing Contextual Language Models for Common Ground with Visual Representations

1 May 2020
Gabriel Ilharco
Rowan Zellers
Ali Farhadi
Hannaneh Hajishirzi
ArXiv (abs)PDFHTML

Papers citing "Probing Contextual Language Models for Common Ground with Visual Representations"

12 / 12 papers shown
Generating Executable Action Plans with Environmentally-Aware Language
  Models
Generating Executable Action Plans with Environmentally-Aware Language ModelsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Maitrey Gramopadhye
D. Szafir
LM&RoLLMAG
408
42
0
10 Oct 2022
Pre-Trained Language Models for Interactive Decision-Making
Pre-Trained Language Models for Interactive Decision-MakingNeural Information Processing Systems (NeurIPS), 2022
Shuang Li
Xavier Puig
Chris Paxton
Yilun Du
Clinton Jia Wang
...
Anima Anandkumar
Jacob Andreas
Igor Mordatch
Antonio Torralba
Yuke Zhu
LM&Ro
497
320
0
03 Feb 2022
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge
  for Embodied Agents
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied AgentsInternational Conference on Machine Learning (ICML), 2022
Wenlong Huang
Pieter Abbeel
Deepak Pathak
Igor Mordatch
LM&Ro
436
1,504
0
18 Jan 2022
Explainable Semantic Space by Grounding Language to Vision with
  Cross-Modal Contrastive Learning
Explainable Semantic Space by Grounding Language to Vision with Cross-Modal Contrastive LearningNeural Information Processing Systems (NeurIPS), 2021
Yizhen Zhang
Minkyu Choi
Kuan Han
Zhongming Liu
VLM
207
19
0
13 Nov 2021
Can Language Models Encode Perceptual Structure Without Grounding? A
  Case Study in Color
Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color
Mostafa Abdou
Artur Kulmizev
Daniel Hershcovich
Stella Frank
Ellie Pavlick
Anders Søgaard
279
163
0
13 Sep 2021
Language Models as Zero-shot Visual Semantic Learners
Language Models as Zero-shot Visual Semantic Learners
Yue Jiao
Jonathon S. Hare
Adam Prugel-Bennett
VLM
159
1
0
26 Jul 2021
What Remains of Visual Semantic Embeddings
What Remains of Visual Semantic Embeddings
Yue Jiao
Jonathon S. Hare
Adam Prugel-Bennett
VLM
117
0
0
26 Jul 2021
Seeing past words: Testing the cross-modal capabilities of pretrained
  V&L models on counting tasks
Seeing past words: Testing the cross-modal capabilities of pretrained V&L models on counting tasks
Letitia Parcalabescu
Albert Gatt
Anette Frank
Iacer Calixto
LRM
459
51
0
22 Dec 2020
Unsupervised Vision-and-Language Pre-training Without Parallel Images
  and Captions
Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions
Liunian Harold Li
Haoxuan You
Zhecan Wang
Alireza Zareian
Shih-Fu Chang
Kai-Wei Chang
SSLVLM
250
12
0
24 Oct 2020
Contrastive Representation Learning: A Framework and Review
Contrastive Representation Learning: A Framework and ReviewIEEE Access (IEEE Access), 2020
Phúc H. Lê Khắc
Graham Healy
Alan F. Smeaton
SSLAI4TS
824
903
0
10 Oct 2020
Contrastive Learning of Medical Visual Representations from Paired
  Images and Text
Contrastive Learning of Medical Visual Representations from Paired Images and TextMachine Learning in Health Care (MLHC), 2020
Yuhao Zhang
Hang Jiang
Yasuhide Miura
Christopher D. Manning
C. Langlotz
MedIm
869
1,032
0
02 Oct 2020
X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal
  Transformers
X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal TransformersConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Jaemin Cho
Jiasen Lu
Dustin Schwenk
Hannaneh Hajishirzi
Aniruddha Kembhavi
VLMMLLM
266
107
0
23 Sep 2020
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