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Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction


Sep 17, 2020
Mariya Toneva, Otilia Stretcu, Barnabas Poczos, Leila Wehbe, Tom M. Mitchell


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Robust Handwriting Recognition with Limited and Noisy Data


Aug 18, 2020
Hai Pham, Amrith Setlur, Saket Dingliwal, Tzu-Hsiang Lin, Barnabas Poczos, Kang Huang, Zhuo Li, Jae Lim, Collin McCormack, Tam Vu

* icfhr2020 

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Nonlinear ISA with Auxiliary Variables for Learning Speech Representations


Jul 25, 2020
Amrith Setlur, Barnabas Poczos, Alan W Black

* To be presented at Interspeech 2020 

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Covariate Distribution Aware Meta-learning


Jul 08, 2020
Amrith Setlur, Saket Dingliwal, Barnabas Poczos

* Published in ICML 2020 Lifelong Learning Workshop 

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Politeness Transfer: A Tag and Generate Approach


May 01, 2020
Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabas Poczos, Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W Black, Shrimai Prabhumoye

* To appear at ACL 2020 

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Robust Density Estimation under Besov IPM Losses


Apr 18, 2020
Ananya Uppal, Shashank Singh, Barnabas Poczos


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Adaptive Sampling Distributed Stochastic Variance Reduced Gradient for Heterogeneous Distributed Datasets


Feb 20, 2020
Ilqar Ramazanli, Han Nguyen, Hai Pham, Sashank Reddi, Barnabas Poczos


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Optimal Adaptive Matrix Completion


Feb 06, 2020
Ilqar ramazanli, Barnabas Poczos

* - 

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Unsupervised Program Synthesis for Images using Tree-Structured LSTM


Jan 27, 2020
Chenghui Zhou, Chun-Liang Li, Barnabas Poczos


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Learned Interpolation for 3D Generation


Jan 24, 2020
Austin Dill, Songwei Ge, Eunsu Kang, Chun-Liang Li, Barnabas Poczos

* Creativity and Design Workshop at NeurIPS 2019 

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RotationOut as a Regularization Method for Neural Network


Nov 18, 2019
Kai Hu, Barnabas Poczos

* 20 pages, 8 figures 

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Developing Creative AI to Generate Sculptural Objects


Aug 20, 2019
Songwei Ge, Austin Dill, Eunsu Kang, Chun-Liang Li, Lingyao Zhang, Manzil Zaheer, Barnabas Poczos

* In the Proceedings of International Symposium on Electronic Art (ISEA 2019) 

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ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations


Aug 05, 2019
Ksenia Korovina, Sailun Xu, Kirthevasan Kandasamy, Willie Neiswanger, Barnabas Poczos, Jeff Schneider, Eric P. Xing


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A Deep Reinforcement Learning Approach for Global Routing


Jun 20, 2019
Haiguang Liao, Wentai Zhang, Xuliang Dong, Barnabas Poczos, Kenji Shimada, Levent Burak Kara

* Preprint submitted to ASME JMD 

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Competence-based Curriculum Learning for Neural Machine Translation


Mar 26, 2019
Emmanouil Antonios Platanios, Otilia Stretcu, Graham Neubig, Barnabas Poczos, Tom M. Mitchell

* NAACL 2019 

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Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly


Mar 15, 2019
Kirthevasan Kandasamy, Karun Raju Vysyaraju, Willie Neiswanger, Biswajit Paria, Christopher R. Collins, Jeff Schneider, Barnabas Poczos, Eric P. Xing


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End-to-End Jet Classification of Quarks and Gluons with the CMS Open Data


Feb 21, 2019
Michael Andrews, John Alison, Sitong An, Patrick Bryant, Bjorn Burkle, Sergei Gleyzer, Meenakshi Narain, Manfred Paulini, Barnabas Poczos, Emanuele Usai

* 10 pages, 5 figures, 7 tables 

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ProBO: a Framework for Using Probabilistic Programming in Bayesian Optimization


Jan 31, 2019
Willie Neiswanger, Kirthevasan Kandasamy, Barnabas Poczos, Jeff Schneider, Eric Xing


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Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities


Dec 19, 2018
Hai Pham, Paul Pu Liang, Thomas Manzini, Louis-Philippe Morency, Barnabas Poczos

* AAAI 2019 

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Hallucinating Point Cloud into 3D Sculptural Object


Nov 29, 2018
Chun-Liang Li, Eunsu Kang, Songwei Ge, Lingyao Zhang, Austin Dill, Manzil Zaheer, Barnabas Poczos

* Accepted by Second Workshop on Machine Learning for Creativity and Design, NIPS 2018 

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Point Cloud GAN


Oct 13, 2018
Chun-Liang Li, Manzil Zaheer, Yang Zhang, Barnabas Poczos, Ruslan Salakhutdinov


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Seq2Seq2Sentiment: Multimodal Sequence to Sequence Models for Sentiment Analysis


Aug 06, 2018
Hai Pham, Thomas Manzini, Paul Pu Liang, Barnabas Poczos

* 8 pages of content, 11 pages total, 2 figures. Published as a workshop paper at ACL 2018, Proceedings of Grand Challenge and Workshop on Human Multimodal Language (Challenge-HML). 2018 

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Multi-fidelity Gaussian Process Bandit Optimisation


Aug 04, 2018
Kirthevasan Kandasamy, Gautam Dasarathy, Junier B. Oliva, Jeff Schneider, Barnabas Poczos

* Preliminary version appeared at NIPS 2016 

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End-to-End Physics Event Classification with the CMS Open Data: Applying Image-based Deep Learning on Detector Data to Directly Classify Collision Events at the LHC


Jul 31, 2018
Michael Andrews, Manfred Paulini, Sergei Gleyzer, Barnabas Poczos

* 15 pages, 5 figures 

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Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector


Jun 28, 2018
Sumedha Singla, Mingming Gong, Siamak Ravanbakhsh, Frank Sciurba, Barnabas Poczos, Kayhan N. Batmanghelich

* MICCAI 2018 

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Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of Spurious Local Minima


Jun 15, 2018
Simon S. Du, Jason D. Lee, Yuandong Tian, Barnabas Poczos, Aarti Singh

* Accepted by ICML 2018 

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Neural Architecture Search with Bayesian Optimisation and Optimal Transport


Jun 10, 2018
Kirthevasan Kandasamy, Willie Neiswanger, Jeff Schneider, Barnabas Poczos, Eric Xing


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