Timezone: »
Panel
· Wilka Carvalho · Judith Fan · Tejas Kulkarni · Christopher Xie
What should be in an object representation, what should an object representation be able to do, and how do we measure and compare them? Join us for a panel discussion with Wilka Carvalho, Judy Fan, Tejas Kulkarni, and Chris Xie, moderated by Rachit Dubey.
Author Information
Wilka Carvalho (University of Michigan)
I am a Masters student and NSF Graduate Research Fellow in the Computer Science Department at the University of Southern California. My primary research interest is the development of neuroscience- and cognitive science-informed artificial intelligence and machine learning models with brain-rivaling information-processing capabilities.
Judith Fan (University of California, San Diego)
Tejas Kulkarni (Common Sense Machines Inc.)
Christopher Xie (University of Washington)
More from the Same Authors
-
2021 : Physion: Evaluating Physical Prediction from Vision in Humans and Machines »
Daniel Bear · Elias Wang · Damian Mrowca · Felix Binder · Hsiao-Yu Tung · Pramod RT · Cameron Holdaway · Sirui Tao · Kevin Smith · Fan-Yun Sun · Fei-Fei Li · Nancy Kanwisher · Josh Tenenbaum · Dan Yamins · Judith Fan -
2021 : Task-driven Discovery of Perceptual Schemas for Generalization in Reinforcement Learning »
Wilka Carvalho · Andrew Lampinen · Kyriacos Nikiforou · Felix Hill · Murray Shanahan -
2021 : Learning compositional tasks from language instructions »
Lajanugen Logeswaran · Wilka Carvalho · Honglak Lee -
2021 : Compositional with Kevin Ellis, Judith Fan, Brenden Lake, Josh Tenenbaum »
Kevin Ellis · Judith Fan · Brenden Lake · Josh Tenenbaum · Zenna Tavares -
2021 Poster: Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning »
Christopher Hoang · Sungryull Sohn · Jongwook Choi · Wilka Carvalho · Honglak Lee -
2020 : Invited Talk: Wilka Carvalho »
Wilka Carvalho -
2019 Poster: Unsupervised Learning of Object Keypoints for Perception and Control »
Tejas Kulkarni · Ankush Gupta · Catalin Ionescu · Sebastian Borgeaud · Malcolm Reynolds · Andrew Zisserman · Volodymyr Mnih -
2018 : Poster Session 1 + Coffee »
Tom Van de Wiele · Rui Zhao · J. Fernando Hernandez-Garcia · Fabio Pardo · Xian Yeow Lee · Xiaolin Andy Li · Marcin Andrychowicz · Jie Tang · Suraj Nair · Juhyeon Lee · Cédric Colas · S. M. Ali Eslami · Yen-Chen Wu · Stephen McAleer · Ryan Julian · Yang Xue · Matthia Sabatelli · Pranav Shyam · Alexandros Kalousis · Giovanni Montana · Emanuele Pesce · Felix Leibfried · Zhanpeng He · Chunxiao Liu · Yanjun Li · Yoshihide Sawada · Alexander Pashevich · Tejas Kulkarni · Keiran Paster · Luca Rigazio · Quan Vuong · Hyunggon Park · Minhae Kwon · Rivindu Weerasekera · Shamane Siriwardhanaa · Rui Wang · Ozsel Kilinc · Keith Ross · Yizhou Wang · Simon Schmitt · Thomas Anthony · Evan Cater · Forest Agostinelli · Tegg Sung · Shirou Maruyama · Alexander Shmakov · Devin Schwab · Mohammad Firouzi · Glen Berseth · Denis Osipychev · Jesse Farebrother · Jianlan Luo · William Agnew · Peter Vrancx · Jonathan Heek · Catalin Ionescu · Haiyan Yin · Megumi Miyashita · Nathan Jay · Noga H. Rotman · Sam Leroux · Shaileshh Bojja Venkatakrishnan · Henri Schmidt · Jack Terwilliger · Ishan Durugkar · Jonathan Sauder · David Kas · Arash Tavakoli · Alain-Sam Cohen · Philip Bontrager · Adam Lerer · Thomas Paine · Ahmed Khalifa · Ruben Rodriguez · Avi Singh · Yiming Zhang -
2017 Workshop: Learning Disentangled Features: from Perception to Control »
Emily Denton · Siddharth Narayanaswamy · Tejas Kulkarni · Honglak Lee · Diane Bouchacourt · Josh Tenenbaum · David Pfau -
2017 Poster: Self-Supervised Intrinsic Image Decomposition »
Michael Janner · Jiajun Wu · Tejas Kulkarni · Ilker Yildirim · Josh Tenenbaum -
2016 Workshop: Neural Abstract Machines & Program Induction »
Matko Bošnjak · Nando de Freitas · Tejas Kulkarni · Arvind Neelakantan · Scott E Reed · Sebastian Riedel · Tim Rocktäschel -
2016 Poster: Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation »
Tejas Kulkarni · Karthik Narasimhan · Ardavan Saeedi · Josh Tenenbaum -
2015 Workshop: Black box learning and inference »
Josh Tenenbaum · Jan-Willem van de Meent · Tejas Kulkarni · S. M. Ali Eslami · Brooks Paige · Frank Wood · Zoubin Ghahramani -
2015 Poster: Deep Convolutional Inverse Graphics Network »
Tejas Kulkarni · William Whitney · Pushmeet Kohli · Josh Tenenbaum -
2015 Spotlight: Deep Convolutional Inverse Graphics Network »
Tejas Kulkarni · William Whitney · Pushmeet Kohli · Josh Tenenbaum