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We introduce a challenging decision-making task that we call active acquisition for multimodal temporal data (A2MT).
On a measure of the information provided by an experiment
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Decision trees with minimal costs
Charles X Ling, Qiang Yang, Jianning Wang, and Shichao Zhang · 2004
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Active feature-value acquisition for classifier induction
Prem Melville, Maytal Saar-Tsechansky, Foster Provost, and Raymond Mooney · 2004
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Victor S Sheng and Charles X Ling · 2006
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Active feature-value acquisition
Maytal Saar-Tsechansky, Prem Melville, and Foster Provost · 2009
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Active Learning Literature Survey
Burr Settles · 2010
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Alfred O Hero and Douglas Cochran · 2011
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Speedboost: Anytime prediction with uniform near-optimality
Alex Grubb and Drew Bagnell · 2012
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Recurrent models of visual attention
Volodymyr Mnih, Nicolas Heess, Alex Graves, et al · 2014
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Activitynet: A large-scale video benchmark for human activity understanding
Bernard Ghanem Fabian Caba Heilbron, Victor Escorcia and Juan Carlos Niebles · 2015
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Recurrent attention models for depth-based person identification
Albert Haque, Alexandre Alahi, and Li Fei-Fei · 2016
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End-to-end learning of action detection from frame glimpses in videos
Serena Yeung, Olga Russakovsky, Greg Mori, and Li Fei-Fei · 2016
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Audio set: An ontology and human-labeled dataset for audio events
Jort F Gemmeke, Daniel PW Ellis, Dylan Freedman, Aren Jansen, Wade Lawrence, R Channing Moore, Manoj Plakal, and Marvin Ritter · 2017
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Free spoken digit dataset (fsdd)
Z. Jackson · 2017
Listen to look: Action recognition by previewing audio
Ruohan Gao, Tae-Hyun Oh, Kristen Grauman, and Lorenzo Torresani · 2020
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Early prediction of circulatory failure in the intensive care unit using machine learning
Stephanie L Hyland, Martin Faltys, Matthias Hüser, Xinrui Lyu, Thomas Gumbsch, Cristóbal Esteban, Christian Bock, Max Horn, Michael Moor, Bastian Rieck, et al · 2020
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Classification with costly features as a sequential decision-making problem
Jaromír Janisch, Tomáš Pevnỳ, and Viliam Lisỳ · 2020
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Mimic-iv (version 2.0)
Alistair Johnson, Lucas Bulgarelli, Tom Pollard, Steven Horng, Leo Anthony Celi, and Roger Mark · 2020
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Maximizing information gain in partially observable environments via prediction reward
Yash Satsangi, Sungsu Lim, Shimon Whiteson, Frans Oliehoek, and Martha White · 2020
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Categorical reparameterization with gumbel-softmax
Eric Jang, Shixiang Gu, and Ben Poole · 2017
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The concrete distribution: A continuous relaxation of discrete random variables
Chris J Maddison, Andriy Mnih, and Yee Whye Teh · 2017
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Revisiting active perception
Ruzena Bajcsy, Yiannis Aloimonos, and John K Tsotsos · 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
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Learning to look around: Intelligently exploring unseen environments for unknown tasks
Dinesh Jayaraman and Kristen Grauman · 2018
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Eddi: Efficient dynamic discovery of high-value information with partial vae
Chao Ma, Sebastian Tschiatschek, Konstantina Palla, José Miguel Hernández-Lobato, Sebastian Nowozin, and Cheng Zhang · 2018
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Lucas Smaira, João Carreira, Eric Noland, Ellen Clancy, Amy Wu, and Andrew Zisserman · 2020
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Reinforcement learning with efficient active feature acquisition
Haiyan Yin, Yingzhen Li, Sinno Jialin Pan, Cheng Zhang, and Sebastian Tschiatschek · 2020
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Dynamic sampling networks for efficient action recognition in videos
Yin-Dong Zheng, Zhaoyang Liu, Tong Lu, and Limin Wang · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2021
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Frameexit: Conditional early exiting for efficient video recognition
Amir Ghodrati, Babak Ehteshami Bejnordi, and Amirhossein Habibian · 2021
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Smart frame selection for action recognition
Shreyank N Gowda, Marcus Rohrbach, and Laura Sevilla-Lara · 2021
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Perceiver io: A general architecture for structured inputs & outputs
Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, et al · 2021
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Accurate imputation and efficient data acquisitionwith transformer-based vaes
Sarah Lewis, Tatiana Matejovicova, Yingzhen Li, Angus Lamb, Yordan Zaykov, Miltiadis Allamanis, and Cheng Zhang · 2021
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Active feature acquisition with generative surrogate models
Yang Li and Junier Oliva · 2021
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Adamml: Adaptive multi-modal learning for efficient video recognition
Rameswar Panda, Chun-Fu Richard Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, and Rogerio Feris · 2021
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Adaptive focus for efficient video recognition
Yulin Wang, Zhaoxi Chen, Haojun Jiang, Shiji Song, Yizeng Han, and Gao Huang · 2021
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Predicting myocardial infarction through retinal scans and minimal personal information
Andres Diaz-Pinto, Nishant Ravikumar, Rahman Attar, Avan Suinesiaputra, Yitian Zhao, Eylem Levelt, Erica Dall’Armellina, Marco Lorenzi, Qingyu Chen, Tiarnan DL Keenan, et al · 2022
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Masked autoencoders as spatiotemporal learners
Christoph Feichtenhofer, Haoqi Fan, Yanghao Li, and Kaiming He · 2022
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Efficient deep visual and inertial odometry with adaptive visual modality selection
Mingyu Yang, Yu Chen, and Hun-Seok Kim · 2022
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