Cinjon Resnick

According to our database, Cinjon Resnick authored at least 16 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Identifying, Addressing, and Understanding Challenging Cases in Machine Learning.

Cinjon Resnick

PhD thesis, 2022

Causal Scene BERT: Improving object detection by searching for challenging groups of data.

Cinjon Resnick, Or Litany, Amlan Kar, Karsten Kreis, James Lucas, Kyunghyun Cho, Sanja Fidler

CoRR, 2022

2021

Self-Supervised Equivariant Scene Synthesis from Video.

Cinjon Resnick, Or Litany, Cosmas Heiß, Hugo Larochelle, Joan Bruna, Kyunghyun Cho

CoRR, 2021

Causal BERT: Improving object detection by searching for challenging groups.

Cinjon Resnick, Or Litany, Amlan Kar, Karsten Kreis, James Lucas, Kyunghyun Cho, Sanja Fidler

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Learned Equivariant Rendering without Transformation Supervision.

Cinjon Resnick, Or Litany, Hugo Larochelle, Joan Bruna, Kyunghyun Cho

CoRR, 2020

In-Distribution Interpretability for Challenging Modalities.

Cosmas Heiß, Ron Levie, Cinjon Resnick, Gitta Kutyniok, Joan Bruna

CoRR, 2020

Compositionality and Capacity in Emergent Languages.

Abhinav Gupta, Cinjon Resnick, Jakob N. Foerster, Andrew M. Dai, Kyunghyun Cho

Proceedings of the 5th Workshop on Representation Learning for NLP, 2020

Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian.

Jack Parker-Holder, Luke Metz, Cinjon Resnick, Hengyuan Hu, Adam Lerer, Alistair Letcher, Alexander Peysakhovich, Aldo Pacchiano, Jakob N. Foerster

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Capacity, Bandwidth, and Compositionality in Emergent Language Learning.

Cinjon Resnick, Abhinav Gupta, Jakob N. Foerster, Andrew M. Dai, Kyunghyun Cho

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Model AI Assignments 2020.

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Probing the State of the Art: A Critical Look at Visual Representation Evaluation.

Cinjon Resnick, Zeping Zhan, Joan Bruna

CoRR, 2019

Model AI Assignments 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

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Backplay: "Man muss immer umkehren".

Cinjon Resnick, Roberta Raileanu, Sanyam Kapoor, Alex Peysakhovich, Kyunghyun Cho, Joan Bruna

CoRR, 2018

Vehicle Community Strategies.

Cinjon Resnick, Ilya Kulikov, Kyunghyun Cho, Jason Weston

CoRR, 2018

Pommerman: A Multi-Agent Playground.

Cinjon Resnick, Wes Eldridge, David Ha, Denny Britz, Jakob N. Foerster, Julian Togelius, Kyunghyun Cho, Joan Bruna

Proceedings of the Joint Proceedings of the AIIDE 2018 Workshops co-located with 14th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2018), 2018

2017

Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders.

Jesse H. Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Mohammad Norouzi, Douglas Eck, Karen Simonyan

Proceedings of the 34th International Conference on Machine Learning, 2017