Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Barnabás Póczos

Re-TACRED: Addressing Shortcomings of the TACRED Dataset


Apr 16, 2021
George Stoica, Emmanouil Antonios Platanios, Barnabás Póczos


  Access Paper or Ask Questions

StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer


Apr 12, 2021
Yiwei Lyu, Paul Pu Liang, Hai Pham, Eduard Hovy, Barnabás Póczos, Ruslan Salakhutdinov, Louis-Philippe Morency

* NAACL 2021, code available at https://github.com/lvyiwei1/StylePTB/ 

  Access Paper or Ask Questions

Improving Relation Extraction by Leveraging Knowledge Graph Link Prediction


Dec 09, 2020
George Stoica, Emmanouil Antonios Platanios, Barnabás Póczos


  Access Paper or Ask Questions

Efficient Meta Lifelong-Learning with Limited Memory


Oct 06, 2020
Zirui Wang, Sanket Vaibhav Mehta, Barnabás Póczos, Jaime Carbonell

* Published as a main conference paper at EMNLP 2020 

  Access Paper or Ask Questions

Minimizing FLOPs to Learn Efficient Sparse Representations


Apr 12, 2020
Biswajit Paria, Chih-Kuan Yeh, Ian E. H. Yen, Ning Xu, Pradeep Ravikumar, Barnabás Póczos

* Published at ICLR 2020 

  Access Paper or Ask Questions

LucidDream: Controlled Temporally-Consistent DeepDream on Videos


Nov 27, 2019
Joel Ruben Antony Moniz, Eunsu Kang, Barnabás Póczos

* Workshop on Machine Learning for Creativity and Design, NeurIPS 2019 

  Access Paper or Ask Questions

Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels


May 30, 2019
Simon S. Du, Kangcheng Hou, Barnabás Póczos, Ruslan Salakhutdinov, Ruosong Wang, Keyulu Xu


  Access Paper or Ask Questions

LBS Autoencoder: Self-supervised Fitting of Articulated Meshes to Point Clouds


Apr 22, 2019
Chun-Liang Li, Tomas Simon, Jason Saragih, Barnabás Póczos, Yaser Sheikh

* In the Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019) 

  Access Paper or Ask Questions

Nonparametric Density Estimation under Besov IPM Losses


Mar 01, 2019
Ananya Uppal, Shashank Singh, Barnabás Póczos


  Access Paper or Ask Questions

Implicit Kernel Learning


Feb 26, 2019
Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnabás Póczos

* In the Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019) 

  Access Paper or Ask Questions

Kernel Change-point Detection with Auxiliary Deep Generative Models


Jan 18, 2019
Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabás Póczos

* To appear in ICLR 2019 

  Access Paper or Ask Questions

Characterizing and Avoiding Negative Transfer


Nov 24, 2018
Zirui Wang, Zihang Dai, Barnabás Póczos, Jaime Carbonell


  Access Paper or Ask Questions

Learning to Predict the Cosmological Structure Formation


Nov 15, 2018
Siyu He, Yin Li, Yu Feng, Shirley Ho, Siamak Ravanbakhsh, Wei Chen, Barnabás Póczos

* 7 pages, 5 figures, 1 table 

  Access Paper or Ask Questions

Nonparametric Density Estimation under Adversarial Losses


Oct 28, 2018
Shashank Singh, Ananya Uppal, Boyue Li, Chun-Liang Li, Manzil Zaheer, Barnabás Póczos


  Access Paper or Ask Questions

Transformation Autoregressive Networks


Oct 23, 2018
Junier B. Oliva, Avinava Dubey, Manzil Zaheer, Barnabás Póczos, Ruslan Salakhutdinov, Eric P. Xing, Jeff Schneider

* ICML 2018 

  Access Paper or Ask Questions

A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations


Oct 22, 2018
Biswajit Paria, Kirthevasan Kandasamy, Barnabás Póczos


  Access Paper or Ask Questions

Minimax Estimation of Quadratic Fourier Functionals


Sep 01, 2018
Shashank Singh, Bharath K. Sriperumbudur, Barnabás Póczos


  Access Paper or Ask Questions

Cautious Deep Learning


May 24, 2018
Yotam Hechtlinger, Barnabás Póczos, Larry Wasserman


  Access Paper or Ask Questions

Minimax Distribution Estimation in Wasserstein Distance


May 23, 2018
Shashank Singh, Barnabás Póczos


  Access Paper or Ask Questions

On the Reconstruction Risk of Convolutional Sparse Dictionary Learning


Feb 24, 2018
Shashank Singh, Barnabás Póczos, Jian Ma


  Access Paper or Ask Questions

MMD GAN: Towards Deeper Understanding of Moment Matching Network


Nov 27, 2017
Chun-Liang Li, Wei-Cheng Chang, Yu Cheng, Yiming Yang, Barnabás Póczos

* In the Proceedings of Thirty-first Annual Conference on Neural Information Processing Systems (NIPS 2017) 

  Access Paper or Ask Questions

Query Efficient Posterior Estimation in Scientific Experiments via Bayesian Active Learning


Feb 03, 2017
Kirthevasan Kandasamy, Jeff Schneider, Barnabás Póczos

* Published in the Artificial Intelligence Journal (AIJ), Feb 2017 and International Joint Conference on Artificial Intelligence (IJCAI) 2015 

  Access Paper or Ask Questions

The Multi-fidelity Multi-armed Bandit


Oct 30, 2016
Kirthevasan Kandasamy, Gautam Dasarathy, Jeff Schneider, Barnabás Póczos

* To appear at NIPS 2016 

  Access Paper or Ask Questions

Efficient Nonparametric Smoothness Estimation


Jul 22, 2016
Shashank Singh, Simon S. Du, Barnabás Póczos


  Access Paper or Ask Questions

Analysis of k-Nearest Neighbor Distances with Application to Entropy Estimation


Jul 21, 2016
Shashank Singh, Barnabás Póczos


  Access Paper or Ask Questions

Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators


Jun 05, 2016
Shashank Singh, Barnabás Póczos

* 16 pages, 0 figures 

  Access Paper or Ask Questions

Generalized Exponential Concentration Inequality for Rényi Divergence Estimation


Mar 28, 2016
Shashank Singh, Barnabás Póczos

* In 31st International Conference on Machine Learning (ICML), 2014 

  Access Paper or Ask Questions

On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants


Jan 25, 2016
Sashank J. Reddi, Ahmed Hefny, Suvrit Sra, Barnabás Póczos, Alex Smola


  Access Paper or Ask Questions

Deep Mean Maps


Nov 13, 2015
Junier B. Oliva, Dougal J. Sutherland, Barnabás Póczos, Jeff Schneider


  Access Paper or Ask Questions

Linear-time Learning on Distributions with Approximate Kernel Embeddings


Sep 24, 2015
Dougal J. Sutherland, Junier B. Oliva, Barnabás Póczos, Jeff Schneider


  Access Paper or Ask Questions