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Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies

Oct 21, 2020
Itai Gat, Idan Schwartz, Alexander Schwing, Tamir Hazan

* NeurIPS 2020 

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NCP-VAE: Variational Autoencoders with Noise Contrastive Priors

Oct 06, 2020
Jyoti Aneja, Alexander Schwing, Jan Kautz, Arash Vahdat

* 22 pages including appendix 

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Bridging the Imitation Gap by Adaptive Insubordination

Jul 23, 2020
Luca Weihs, Unnat Jain, Jordi Salvador, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander Schwing

* The first two authors contributed equally 

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A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks

Jul 09, 2020
Unnat Jain, Luca Weihs, Eric Kolve, Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander Schwing

* Accepted to ECCV 2020 (spotlight); Project page: https://unnat.github.io/cordial-sync 

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The 1st Agriculture-Vision Challenge: Methods and Results

Apr 23, 2020
Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Junhee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt B. Salberg, Alexandre Barbosa, Rodrigo Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Ng, Van Thong Huynh, Soo-Hyung Kim, In-Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay Talbar, Jianyu Tang

* CVPR 2020 Workshop 

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Disentangling Controllable Object through Video Prediction Improves Visual Reinforcement Learning

Feb 21, 2020
Yuanyi Zhong, Alexander Schwing, Jian Peng

* Accepted to ICASSP 2020 

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Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics

Jan 08, 2020
Dawit Belayneh, Federico Carminati, Amir Farbin, Benjamin Hooberman, Gulrukh Khattak, Miaoyuan Liu, Junze Liu, Dominick Olivito, Vitória Barin Pacela, Maurizio Pierini, Alexander Schwing, Maria Spiropulu, Sofia Vallecorsa, Jean-Roch Vlimant, Wei Wei, Matt Zhang

* 26 pages, 38 figures. Corrected typos and added additional references in v2. Extended Acknowledgements section in v3 

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Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis

Jan 05, 2020
Mang Tik Chiu, Xingqian Xu, Yunchao Wei, Zilong Huang, Alexander Schwing, Robert Brunner, Hrant Khachatrian, Hovnatan Karapetyan, Ivan Dozier, Greg Rose, David Wilson, Adrian Tudor, Naira Hovakimyan, Thomas S. Huang, Honghui Shi


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Graph Structured Prediction Energy Networks

Oct 31, 2019
Colin Graber, Alexander Schwing

* Appearing in NeurIPS 2019 

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Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning

Aug 22, 2019
Jyoti Aneja, Harsh Agrawal, Dhruv Batra, Alexander Schwing

* Accepted to ICCV 2019 

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ViCo: Word Embeddings from Visual Co-occurrences

Aug 22, 2019
Tanmay Gupta, Alexander Schwing, Derek Hoiem

* Accepted to ICCV 2019. Project Page: http://tanmaygupta.info/vico/ 

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Factor Graph Attention

Apr 11, 2019
Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander Schwing

* Accepted to CVPR 2019 

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Max-Sliced Wasserstein Distance and its use for GANs

Apr 11, 2019
Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David Forsyth, Alexander Schwing

* Accepted to CVPR 2019 

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Two Body Problem: Collaborative Visual Task Completion

Apr 11, 2019
Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander Schwing, Aniruddha Kembhavi

* Accepted to CVPR 2019 

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A Simple Baseline for Audio-Visual Scene-Aware Dialog

Apr 11, 2019
Idan Schwartz, Alexander Schwing, Tamir Hazan

* Accepted to CVPR 2019 

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No-Frills Human-Object Interaction Detection: Factorization, Appearance and Layout Encodings, and Training Techniques

Nov 14, 2018
Tanmay Gupta, Alexander Schwing, Derek Hoiem


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Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training

Nov 08, 2018
Youjie Li, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim, Alexander Schwing


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GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training

Nov 08, 2018
Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander Schwing, Murali Annavaram, Salman Avestimehr


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Deep Structured Prediction with Nonlinear Output Transformations

Nov 01, 2018
Colin Graber, Ofer Meshi, Alexander Schwing

* Appearing in NIPS 2018 

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Diverse and Controllable Image Captioning with Part-of-Speech Guidance

May 31, 2018
Aditya Deshpande, Jyoti Aneja, Liwei Wang, Alexander Schwing, D. A. Forsyth

* 10 pages, submitted to NIPS'18 

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Generative Modeling using the Sliced Wasserstein Distance

Mar 29, 2018
Ishan Deshpande, Ziyu Zhang, Alexander Schwing

* Accepted to CVPR 2018 

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Two can play this Game: Visual Dialog with Discriminative Question Generation and Answering

Mar 29, 2018
Unnat Jain, Svetlana Lazebnik, Alexander Schwing

* Accepted to CVPR 2018 

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Convolutional Image Captioning

Nov 24, 2017
Jyoti Aneja, Aditya Deshpande, Alexander Schwing

* 11 pages, 9 Figures 

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Dualing GANs

Jun 19, 2017
Yujia Li, Alexander Schwing, Kuan-Chieh Wang, Richard Zemel


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Creativity: Generating Diverse Questions using Variational Autoencoders

Apr 11, 2017
Unnat Jain, Ziyu Zhang, Alexander Schwing

* Accepted to CVPR 2017 

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Statistical Inference, Learning and Models in Big Data

Jan 28, 2016
Beate Franke, Jean-François Plante, Ribana Roscher, Annie Lee, Cathal Smyth, Armin Hatefi, Fuqi Chen, Einat Gil, Alexander Schwing, Alessandro Selvitella, Michael M. Hoffman, Roger Grosse, Dieter Hendricks, Nancy Reid

* Int Stat Rev 84 (2017) 371-389 
* Thematic Program on Statistical Inference, Learning, and Models for Big Data, Fields Institute; 23 pages, 2 figures 

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Blending Learning and Inference in Structured Prediction

Aug 30, 2013
Tamir Hazan, Alexander Schwing, David McAllester, Raquel Urtasun


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