Cinjon Resnick

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 19

Top Topics

Multiple Video Streams

Mobile Language Learning

Music Genre Classification

Visual Representation

Top Venues

Publications

Cinjon Resnick, Or Litany, Amlan Kar, Karsten Kreis, James Lucas, Kyunghyun Cho, Sanja Fidler
Causal Scene BERT: Improving object detection by searching for challenging groups of data. CoRR (2022)
Cinjon Resnick, Or Litany, Amlan Kar, Karsten Kreis, James Lucas, Kyunghyun Cho, Sanja Fidler
Causal BERT: Improving object detection by searching for challenging groups. ICCVW (2021)
Cinjon Resnick, Or Litany, Cosmas Heiß, Hugo Larochelle, Joan Bruna, Kyunghyun Cho
Self-Supervised Equivariant Scene Synthesis from Video. CoRR (2021)
Todd W. Neller, Stephen Keeley, Michael Guerzhoy, Wolfgang Hönig, Jiaoyang Li, Sven Koenig, Ameet Soni, Krista Thomason, Lisa Zhang, Bibin Sebastian, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, James Allingham, Sejong Yoon, Jonathan Chen, Tom Larsen, Marion Neumann, Narges Norouzi, Ryan Hausen, Matthew Evett
Model AI Assignments 2020. AAAI (2020)
Abhinav Gupta, Cinjon Resnick, Jakob N. Foerster, Andrew M. Dai, Kyunghyun Cho
Compositionality and Capacity in Emergent Languages. RepL4NLP@ACL (2020)
Cosmas Heiß, Ron Levie, Cinjon Resnick, Gitta Kutyniok, Joan Bruna
In-Distribution Interpretability for Challenging Modalities. CoRR (2020)
Cinjon Resnick, Or Litany, Hugo Larochelle, Joan Bruna, Kyunghyun Cho
Learned Equivariant Rendering without Transformation Supervision. CoRR (2020)
Jack Parker-Holder, Luke Metz, Cinjon Resnick, Hengyuan Hu, Adam Lerer, Alistair Letcher, Alexander Peysakhovich, Aldo Pacchiano, Jakob N. Foerster
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian. NeurIPS (2020)
Jack Parker-Holder, Luke Metz, Cinjon Resnick, Hengyuan Hu, Adam Lerer, Alistair Letcher, Alex Peysakhovich, Aldo Pacchiano, Jakob N. Foerster
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian. CoRR (2020)
Cinjon Resnick, Abhinav Gupta, Jakob N. Foerster, Andrew M. Dai, Kyunghyun Cho
Capacity, Bandwidth, and Compositionality in Emergent Language Learning. AAMAS (2020)
Cinjon Resnick, Zeping Zhan, Joan Bruna
Probing the State of the Art: A Critical Look at Visual Representation Evaluation. CoRR (2019)
Todd W. Neller, Raja Sooriamurthi, Michael Guerzhoy, Lisa Zhang, Paul Talaga, Christopher Archibald, Adam Summerville, Joseph C. Osborn, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, Nate Derbinsky, Elena Strange, Marion Neumann, Jonathan Chen, Zac Christensen, Michael Wollowski, Oscar Youngquist
Model AI Assignments 2019. AAAI (2019)
Cinjon Resnick, Abhinav Gupta, Jakob N. Foerster, Andrew M. Dai, Kyunghyun Cho
Capacity, Bandwidth, and Compositionality in Emergent Language Learning. CoRR (2019)
Cinjon Resnick, Roberta Raileanu, Sanyam Kapoor, Alex Peysakhovich, Kyunghyun Cho, Joan Bruna
Backplay: "Man muss immer umkehren". CoRR (2018)
Cinjon Resnick, Ilya Kulikov, Kyunghyun Cho, Jason Weston
Vehicle Community Strategies. CoRR (2018)
Cinjon Resnick, Wes Eldridge, David Ha, Denny Britz, Jakob N. Foerster, Julian Togelius, Kyunghyun Cho, Joan Bruna
Pommerman: A Multi-Agent Playground. AIIDE Workshops (2018)
Cinjon Resnick, Wes Eldridge, David Ha, Denny Britz, Jakob N. Foerster, Julian Togelius, Kyunghyun Cho, Joan Bruna
Pommerman: A Multi-Agent Playground. CoRR (2018)
Jesse H. Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Mohammad Norouzi, Douglas Eck, Karen Simonyan
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders. ICML (2017)
Jesse H. Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Douglas Eck, Karen Simonyan, Mohammad Norouzi
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders. CoRR (2017)