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Learning specific hands-on skills such as cooking, car maintenance, and home repairs increasingly happens via instructional videos.
Unified language model pre-training for natural language understanding and generation
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Mass: Masked sequence to sequence pre-training for language generation
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Contrastive bidirectional transformer for temporal representation learning
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Roberta: A robustly optimized BERT pretraining approach
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Unicoder-vl: A universal encoder for vision and language by cross-modal pre-training
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Vl-bert: Pre-training of generic visual-linguistic representations
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Lxmert: Learning cross-modality encoder representations from transformers
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Uniter: Learning universal image-text representations
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Albert: A lite bert for self-supervised learning of language representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2020 · 1909
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Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer. 2019 · 1910
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2019 · 1910
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Univilm: A unified video and language pre-training model for multimodal understanding and generation
Huaishao Luo, Lei Ji, Botian Shi, Haoyang Huang, Nan Duan, Tianrui Li, Xilin Chen, and Ming Zhou. 2020 · 2002
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Automatic evaluation of machine translation quality using longest common subsequence and skip-bigram statistics
Chin-Yew Lin and Franz Josef Och. 2004 · 2004
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Subgoal-labeled instructional material improves performance and transfer in learning to develop mobile applications
Lauren E Margulieux, Mark Guzdial, and Richard Catrambone. 2012 · 2012
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Meteor universal: Language specific translation evaluation for any target language
Michael Denkowski and Alon Lavie. 2014 · 2014
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Crowdsourcing step-by-step information extraction to enhance existing how-to videos
Juho Kim, Phu Tran Nguyen, Sarah Weir, Philip J Guo, Robert C Miller, and Krzysztof Z Gajos. 2014 · 2014
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Learning fine-grained image similarity with deep ranking
Jiang Wang, Yang Song, Thomas Leung, Chuck Rosenberg, Jingbin Wang, James Philbin, Bo Chen, and Ying Wu. 2014 · 2014
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Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2015 · 2015
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Cider: Consensus-based image description evaluation
Ramakrishna Vedantam, C Lawrence Zitnick, and Devi Parikh. 2015 · 2015
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Learnersourcing subgoal labels for how-to videos
Sarah Weir, Juho Kim, Krzysztof Z Gajos, and Robert C Miller. 2015 · 2015
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Youtube-8m: A large-scale video classification benchmark
Sami Abu-El-Haija, Nisarg Kothari, Joonseok Lee, Paul Natsev, George Toderici, Balakrishnan Varadarajan, and Sudheendra Vijayanarasimhan. 2016 · 2016
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A case study on combining asr and visual features for generating instructional video captions
Jack Hessel, Bo Pang, Zhenhai Zhu, and Radu Soricut. 2019 · 2019
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Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks
Jiasen Lu, Dhruv Batra, Devi Parikh, and Stefan Lee. 2019 · 2019
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Recipe1m+: A dataset for learning cross-modal embeddings for cooking recipes and food images
Javier Marin, Aritro Biswas, Ferda Ofli, Nicholas Hynes, Amaia Salvador, Yusuf Aytar, Ingmar Weber, and Antonio Torralba. 2019 · 2019
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Howto100m: Learning a text-video embedding by watching hundred million narrated video clips
Antoine Miech, Dimitri Zhukov, Jean-Baptiste Alayrac, Makarand Tapaswi, Ivan Laptev, and Josef Sivic. 2019 · 2019
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Why you should lean into how-to content in 2018
Celie O’Neil-Hart. 2018 · 2019
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Unsupervised learning from narrated instruction videos
Jean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal, Ivan Laptev Josef Sivic, and Simon Lacoste-Julien. 2016 · 2016
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Quo vadis, action recognition? a new model and the kinetics dataset
João Carreira and Andrew Zisserman. 2017 · 2017
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The kinetics human action video dataset
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Ranjay Krishna, Kenji Hata, Frederic Ren, Li Fei-Fei, and Juan Carlos Niebles. 2017 · 2017
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Scaling egocentric vision: The EPIC-KITCHENS dataset
Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Sanja Fidler, Antonino Furnari, Evangelos Kazakos, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, and Michael Wray. 2018 · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Wikihow: A large scale text summarization dataset
Mahnaz Koupaee and William Yang Wang. 2018 · 2018
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Dense procedure captioning in narrated instructional videos
Botian Shi, Lei Ji, Yaobo Liang, Nan Duan, Peng Chen, Zhendong Niu, and Ming Zhou. 2019 · 2019
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Vatex: A large-scale, high-quality multilingual dataset for video-and-language research
Xin Wang, Jiawei Wu, Junkun Chen, Lei Li, Yuan fang Wang, and William Yang Wang. 2019 · 2019
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Mart: Memory-augmented recurrent transformer for coherent video paragraph captioning
Jie Lei, Liwei Wang, Yelong Shen, Dong Yu, Tamara L. Berg, and Mohit Bansal. 2020 · 2020
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End-to-end learning of visual representations from uncurated instructional videos
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Spatio-temporal graph for video captioning with knowledge distillation
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You know what’s cool? a billion hours
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Syntax-aware action targeting for video captioning
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YouCookII dataset
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