ICLR

Classification-Based Anomaly Detection for General Data

Liron Bergman, Yedid Hoshen

Comments ICLR'20

Parameters Estimation from the 21 cm signal using Variational Inference

Héctor J. Hortúa, Riccardo Volpi, Luigi Malagò

Comments Presented at ICLR 2020 Workshop on Fundamental Science in the era of AI

LambdaNet: Probabilistic Type Inference using Graph Neural Networks

Jiayi Wei, Maruth Goyal, Greg Durrett, Isil Dillig

Comments Accepted as a poster at ICLR 2020

Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation

Nitin Rathi, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy

Comments International Conference on Learning Representations (ICLR), 2020 https://openreview.net/forum?id=B1xSperKvH&noteId=B1xSperKvH

On the Benefits of Models with Perceptually-Aligned Gradients

Gunjan Aggarwal, Abhishek Sinha, Nupur Kumari, Mayank Singh

Comments Accepted at ICLR 2020 Workshop: Towards Trustworthy ML

Towards A Sign Language Gloss Representation Of Modern Standard Arabic

Salma El Anigri, Mohammed Majid Himmi, Abdelhak Mahmoudi

Comments 4 pages,2 figures, AfricaNLP2020 workshop ICLR 2020

Mutual Information Gradient Estimation for Representation Learning

Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, Zenglin Xu

Comments ICLR 2020

Understanding and Improving Information Transfer in Multi-Task Learning

Sen Wu, Hongyang R. Zhang, Christopher Ré

Comments Appeared in ICLR 2020

Neural Differential Equations for Single Image Super-resolution

Teven Le Scao

Comments 7 pages, 5 figures, ICLR 2020 Workshop on Integration of Deep Neural Models and Differential Equations

Oblique Decision Trees from Derivatives of ReLU Networks

Guang-He Lee, Tommi S. Jaakkola

Comments Published in International Conference on Learning Representations (ICLR), 2020. Code available: https://github.com/guanghelee/iclr20-lcn

FSPool: Learning Set Representations with Featurewise Sort Pooling

Yan Zhang, Jonathon Hare, Adam Prügel-Bennett

Comments Published at International Conference on Learning Representations (ICLR) 2020

Certifying Some Distributional Robustness with Principled Adversarial Training

Aman Sinha, Hongseok Namkoong, Riccardo Volpi, John Duchi

Comments ICLR 2018: https://openreview.net/forum?id=Hk6kPgZA-

Robustness Certification of Generative Models

Matthew Mirman, Timon Gehr, Martin Vechev

Comments Prior version submitted to ICLR 2020

Using Punkt for Sentence Segmentation in non-Latin Scripts: Experiments on Kurdish (Sorani) Texts

Roshna Omer Abdulrahman, Hossein Hassani

Comments Accepted for AfricaNLP Workshop at ICLR 2020

Dissipative SymODEN: Encoding Hamiltonian Dynamics with Dissipation and Control into Deep Learning

Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty

Comments Published at ICLR 2020 Workshop on Integration of Deep Neural Models and Differential Equations (DeepDiffEq)

A Probabilistic Formulation of Unsupervised Text Style Transfer

Junxian He, Xinyi Wang, Graham Neubig, Taylor Berg-Kirkpatrick

Comments ICLR 2020 conference paper (spotlight). The first two authors contributed equally

Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning

Dexter R. R. Scobee, S. Shankar Sastry

Comments Published as a conference paper at the International Conference on Learning Representations (ICLR), 2020 (at https://openreview.net/forum?id=BJliakStvH )

Once-for-All: Train One Network and Specialize it for Efficient Deployment

Han Cai, Chuang Gan, Tianzhe Wang, Zhekai Zhang, Song Han

Comments ICLR 2020

BERT Fine-tuning For Arabic Text Summarization

Khalid N. Elmadani, Mukhtar Elgezouli, Anas Showk

Comments 4 pages, 2 tables, Published as a conference paper at AfricaNLP workshop at ICLR 2020

Low resource language dataset creation, curation and classification: Setswana and Sepedi -- Extended Abstract

Vukosi Marivate, Tshephisho Sefara, Vongani Chabalala, Keamogetswe Makhaya, Tumisho Mokgonyane, Rethabile Mokoena, Abiodun Modupe

Comments Accepted for the AfricaNLP workshop at ICLR 2020

Using LSTM to Translate French to Senegalese Local Languages: Wolof as a Case Study

Lo Alla, Dione Cheikh Bamba, Nguer Elhadji Mamadou, Ba Sileye O. Ba, Lo Moussa

Comments 4 pages, 2 tables, ICLR AfricaNLP2020 workshop

How Chaotic Are Recurrent Neural Networks?

Pourya Vakilipourtakalou, Lili Mou

Comments ICLR 2020 Workshop DeepDiffEq

Streamlining Tensor and Network Pruning in PyTorch

Michela Paganini, Jessica Forde

Comments 5 pages, 1 figure, 5 code listings. Published as a workshop paper at ICLR 2020

Practical Comparable Data Collection for Low-Resource Languages via Images

Aman Madaan, Shruti Rijhwani, Antonios Anastasopoulos, Yiming Yang, Graham Neubig

Comments Accepted for poster presentation at the Practical Machine Learning for Developing Countries (PML4DC) workshop, ICLR 2020

Empirical Studies on the Properties of Linear Regions in Deep Neural Networks

Xiao Zhang, Dongrui Wu

Comments Int'l. Conf. on Learning Representations (ICLR), Addis Ababa, Ethiopia, April 2020

Robust Generative Adversarial Network

Shufei Zhang, Zhuang Qian, Kaizhu Huang, Jimin Xiao, Yuan He

Comments This paper has been submitted to ICLR in Sep 25. 2019

Energy-based models for atomic-resolution protein conformations

Yilun Du, Joshua Meier, Jerry Ma, Rob Fergus, Alexander Rives

Comments Accepted to ICLR 2020

Journal ref International Conference on Learning Representations (ICLR), 2020

Progressive Growing of Neural ODEs

Hammad A. Ayyubi, Yi Yao, Ajay Divakaran

Journal ref ICLR Workshop on Neural Networks and Differential Equations, 2020

Meta-Learning without Memorization

Mingzhang Yin, George Tucker, Mingyuan Zhou, Sergey Levine, Chelsea Finn

Comments ICLR 2020

Truth or Backpropaganda? An Empirical Investigation of Deep Learning Theory

Micah Goldblum, Jonas Geiping, Avi Schwarzschild, Michael Moeller, Tom Goldstein

Comments 18 pages, 6 figures. First two authors contributed equally. Published as a conference paper at ICLR 2020