ICLR (Poster)

Publications

2019

Sunghoon Im, Hae-Gon Jeon, Stephen Lin, In So Kweon
DPSNet: End-to-end Deep Plane Sweep Stereo. ICLR (Poster) (2019)
Chiyu Max Jiang, Jingwei Huang, Karthik Kashinath, Prabhat, Philip Marcus, Matthias Nießner
Spherical CNNs on Unstructured Grids. ICLR (Poster) (2019)
Gagandeep Singh, Timon Gehr, Markus Püschel, Martin T. Vechev
Boosting Robustness Certification of Neural Networks. ICLR (Poster) (2019)
Chulhee Yun, Suvrit Sra, Ali Jadbabaie
Small nonlinearities in activation functions create bad local minima in neural networks. ICLR (Poster) (2019)
ShahRukh Athar, Evgeny Burnaev, Victor S. Lempitsky
Latent Convolutional Models. ICLR (Poster) (2019)
Yulai Cong, Miaoyun Zhao, Ke Bai, Lawrence Carin
GO Gradient for Expectation-Based Objectives. ICLR (Poster) (2019)
Leonard Berrada, Andrew Zisserman, M. Pawan Kumar
Deep Frank-Wolfe For Neural Network Optimization. ICLR (Poster) (2019)
Vitalii Zhelezniak, Aleksandar Savkov, April Shen, Francesco Moramarco, Jack Flann, Nils Y. Hammerla
Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors. ICLR (Poster) (2019)
Luis Alfonso Lastras-Montaño
Information Theoretic lower bounds on negative log likelihood. ICLR (Poster) (2019)
Andrei Atanov, Arsenii Ashukha, Kirill Struminsky, Dmitry P. Vetrov, Max Welling
The Deep Weight Prior. ICLR (Poster) (2019)
Han Cai, Ligeng Zhu, Song Han
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware. ICLR (Poster) (2019)
José Oramas M., Kaili Wang, Tinne Tuytelaars
Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks. ICLR (Poster) (2019)
Patrick Fernandes, Miltiadis Allamanis, Marc Brockschmidt
Structured Neural Summarization. ICLR (Poster) (2019)
Shengcao Cao, Xiaofang Wang, Kris M. Kitani
Learnable Embedding Space for Efficient Neural Architecture Compression. ICLR (Poster) (2019)
Aliaksandr Siarohin, Enver Sangineto, Nicu Sebe
Whitening and Coloring Batch Transform for GANs. ICLR (Poster) (2019)
Hongyang Li, Bo Dai, Shaoshuai Shi, Wanli Ouyang, Xiaogang Wang
Feature Intertwiner for Object Detection. ICLR (Poster) (2019)
Eric T. Nalisnick, Akihiro Matsukawa, Yee Whye Teh, Dilan Görür, Balaji Lakshminarayanan
Do Deep Generative Models Know What They Don't Know? ICLR (Poster) (2019)
Junxian He, Daniel Spokoyny, Graham Neubig, Taylor Berg-Kirkpatrick
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders. ICLR (Poster) (2019)
Mike Lewis, Angela Fan
Generative Question Answering: Learning to Answer the Whole Question. ICLR (Poster) (2019)
David Warde-Farley, Tom Van de Wiele, Tejas D. Kulkarni, Catalin Ionescu, Steven Hansen, Volodymyr Mnih
Unsupervised Control Through Non-Parametric Discriminative Rewards. ICLR (Poster) (2019)
Wieland Brendel, Matthias Bethge
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet. ICLR (Poster) (2019)
Jorge Pérez, Javier Marinkovic, Pablo Barceló
On the Turing Completeness of Modern Neural Network Architectures. ICLR (Poster) (2019)
Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit, Ian Simon, Curtis Hawthorne, Noam Shazeer, Andrew M. Dai, Matthew D. Hoffman, Monica Dinculescu, Douglas Eck
Music Transformer: Generating Music with Long-Term Structure. ICLR (Poster) (2019)
Elisabeth Rumetshofer, Markus Hofmarcher, Clemens Röhrl, Sepp Hochreiter, Günter Klambauer
Human-level Protein Localization with Convolutional Neural Networks. ICLR (Poster) (2019)
Rong Ge, Rohith Kuditipudi, Zhize Li, Xiang Wang
Learning Two-layer Neural Networks with Symmetric Inputs. ICLR (Poster) (2019)
Yan Zhang, Jonathon S. Hare, Adam Prügel-Bennett
Learning Representations of Sets through Optimized Permutations. ICLR (Poster) (2019)
Jesse H. Engel, Kumar Krishna Agrawal, Shuo Chen, Ishaan Gulrajani, Chris Donahue, Adam Roberts
GANSynth: Adversarial Neural Audio Synthesis. ICLR (Poster) (2019)
Apratim Bhattacharyya, Mario Fritz, Bernt Schiele
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods. ICLR (Poster) (2019)
Chih-Kuan Yeh, Jianshu Chen, Chengzhu Yu, Dong Yu
Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching. ICLR (Poster) (2019)
Nikolay Savinov, Anton Raichuk, Damien Vincent, Raphaël Marinier, Marc Pollefeys, Timothy P. Lillicrap, Sylvain Gelly
Episodic Curiosity through Reachability. ICLR (Poster) (2019)
Kai Yuanqing Xiao, Vincent Tjeng, Nur Muhammad (Mahi) Shafiullah, Aleksander Madry
Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability. ICLR (Poster) (2019)
Hanie Sedghi, Vineet Gupta, Philip M. Long
The Singular Values of Convolutional Layers. ICLR (Poster) (2019)
Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Alexander Turner, Aleksander Madry
Robustness May Be at Odds with Accuracy. ICLR (Poster) (2019)
Wenda Zhou, Victor Veitch, Morgane Austern, Ryan P. Adams, Peter Orbanz
Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach. ICLR (Poster) (2019)
Caio Corro, Ivan Titov
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder. ICLR (Poster) (2019)
Nuwan S. Ferdinand, Haider Al-Lawati, Stark C. Draper, Matthew S. Nokleby
Anytime Minibatch: Exploiting Stragglers in Online Distributed Optimization. ICLR (Poster) (2019)
Kirill Neklyudov, Dmitry Molchanov, Arsenii Ashukha, Dmitry P. Vetrov
Variance Networks: When Expectation Does Not Meet Your Expectations. ICLR (Poster) (2019)
Peng Cao, Yilun Xu, Yuqing Kong, Yizhou Wang
Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds. ICLR (Poster) (2019)
Christos Louizos, Matthias Reisser, Tijmen Blankevoort, Efstratios Gavves, Max Welling
Relaxed Quantization for Discretized Neural Networks. ICLR (Poster) (2019)
Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
Unsupervised Discovery of Parts, Structure, and Dynamics. ICLR (Poster) (2019)
Pramod Kaushik Mudrakarta, Mark Sandler, Andrey Zhmoginov, Andrew G. Howard
K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning. ICLR (Poster) (2019)
Oleh Rybkin, Karl Pertsch, Konstantinos G. Derpanis, Kostas Daniilidis, Andrew Jaegle
Learning what you can do before doing anything. ICLR (Poster) (2019)
Patrick H. Chen, Si Si, Sanjiv Kumar, Yang Li, Cho-Jui Hsieh
Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks. ICLR (Poster) (2019)
Benedikt Pfülb, Alexander Gepperth
A comprehensive, application-oriented study of catastrophic forgetting in DNNs. ICLR (Poster) (2019)
Sirui Xie, Hehui Zheng, Chunxiao Liu, Liang Lin
SNAS: stochastic neural architecture search. ICLR (Poster) (2019)
R. Thomas McCoy, Tal Linzen, Ewan Dunbar, Paul Smolensky
RNNs implicitly implement tensor-product representations. ICLR (Poster) (2019)
Sachin Ravi, Alex Beatson
Amortized Bayesian Meta-Learning. ICLR (Poster) (2019)
Gamaleldin F. Elsayed, Ian J. Goodfellow, Jascha Sohl-Dickstein
Adversarial Reprogramming of Neural Networks. ICLR (Poster) (2019)
Andrei A. Rusu, Dushyant Rao, Jakub Sygnowski, Oriol Vinyals, Razvan Pascanu, Simon Osindero, Raia Hadsell
Meta-Learning with Latent Embedding Optimization. ICLR (Poster) (2019)
Johannes Klicpera, Aleksandar Bojchevski, Stephan Günnemann
Predict then Propagate: Graph Neural Networks meet Personalized PageRank. ICLR (Poster) (2019)