ICLR

Building Disaster Damage Assessment in Satellite Imagery with Multi-Temporal Fusion

Ethan Weber, Hassan Kané

Comments Accepted for presentation at the ICLR 2020 AI For Earth Sciences Workshop

NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search

Arber Zela, Julien Siems, Frank Hutter

Comments In: International Conference on Learning Representations (ICLR 2020); 19 pages, 17 figures

Weakly Supervised Disentanglement with Guarantees

Rui Shu, Yining Chen, Abhishek Kumar, Stefano Ermon, Ben Poole

Comments ICLR 2020

Learning to Explore using Active Neural SLAM

Devendra Singh Chaplot, Dhiraj Gandhi, Saurabh Gupta, Abhinav Gupta, Ruslan Salakhutdinov

Comments Published in ICLR-2020. See the project webpage at https://devendrachaplot.github.io/projects/Neural-SLAM for supplementary videos. The code is available at https://github.com/devendrachaplot/Neural-SLAM

Levels of Analysis for Machine Learning

Jessica Hamrick, Shakir Mohamed

Comments Accepted to the workshop on "Bridging AI and Cognitive Science" at ICLR 2020

Early Disease Diagnosis for Rice Crop

M. Hammad Masood, Habiba Saim, Murtaza Taj, Mian M. Awais

Comments Paper presented at the ICLR 2020 Workshop on Computer Vision for Agriculture (CV4A)

FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary

Yingzhen Yang, Jiahui Yu, Nebojsa Jojic, Jun Huan, Thomas S. Huang

Comments published at ICLR 2020

Estimating Grape Yield on the Vine from Multiple Images

Daniel L. Silver, Jabun Nasa

Comments Paper presented at the ICLR 2020 Workshop on Computer Vision for Agriculture (CV4A), 4 pages, 4 figures

A single image deep learning approach to restoration of corrupted remote sensing products

Anna Petrovskaia, Raghavendra B. Jana, Ivan V. Oseledets

Comments Paper presented at the ICLR 2020 Workshop on Computer Vision for Agriculture (CV4A)

Fast Neural Network Adaptation via Parameter Remapping and Architecture Search

Jiemin Fang, Yuzhu Sun, Kangjian Peng, Qian Zhang, Yuan Li, Wenyu Liu, Xinggang Wang

Comments Accepted by ICLR 2020

A Deep Learning Approach for Determining Effects of Tuta Absoluta in Tomato Plants

Denis P. Rubanga, Loyani K. Loyani, Mgaya Richard, Sawahiko Shimada

Comments Paper presented at the ICLR 2020 Workshop on Computer Vision for Agriculture (CV4A)

Mobile-Based Deep Learning Models for Banana Diseases Detection

Sophia Sanga, Victor Mero, Dina Machuve, Davis Mwanganda

Comments Paper presented at the ICLR 2020 Workshop on Computer Vision for Agriculture (CV4A)

U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

Junho Kim, Minjae Kim, Hyeonwoo Kang, Kwanghee Lee

Comments Accepted to ICLR 2020

Generalization bounds for deep convolutional neural networks

Philip M. Long, Hanie Sedghi

Comments Published as a conference paper at ICLR 2020

Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples

Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Utku Evci, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle

Comments Code available at https://github.com/google-research/meta-dataset

Journal ref International Conference on Learning Representations (2020)

Bayesian aggregation improves traditional single image crop classification approaches

Ivan Matvienko, Mikhail Gasanov, Anna Petrovskaia, Raghavendra Belur Jana, Maria Pukalchik, Ivan Oseledets

Comments Paper presented at the ICLR 2020 Workshop on Computer Vision for Agriculture (CV4A)

Trying AGAIN instead of Trying Longer: Prior Learning for Automatic Curriculum Learning

Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer

Comments Accepted to the ICLR 2020 workshop Beyond tabula rasa in RL (BeTR-RL)

CoPhy: Counterfactual Learning of Physical Dynamics

Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, Christian Wolf

Comments ICLR 2020 -Spotlight presentation

Field-Level Crop Type Classification with k Nearest Neighbors: A Baseline for a New Kenya Smallholder Dataset

Hannah Kerner, Catherine Nakalembe, Inbal Becker-Reshef

Comments Paper presented at the ICLR 2020 Workshop on Computer Vision for Agriculture (CV4A)

Image-based phenotyping of diverse Rice (Oryza Sativa L.) Genotypes

Mukesh Kumar Vishal, Dipesh Tamboli, Abhijeet Patil, Rohit Saluja, Biplab Banerjee, Amit Sethi, Dhandapani Raju, Sudhir Kumar, R N Sahoo, Viswanathan Chinnusamy, J Adinarayana

Comments Paper presented at the ICLR 2020 Workshop on Computer Vision for Agriculture (CV4A)

Fine grained classification for multi-source land cover mapping

Yawogan Jean Eudes Gbodjo, Dino Ienco, Louise Leroux, Roberto Interdonato, Raffaelle Gaetano

Comments Paper presented at the ICLR 2020 Workshop on Computer Vision for Agriculture (CV4A)

The equivalence between Stein variational gradient descent and black-box variational inference

Casey Chu, Kentaro Minami, Kenji Fukumizu

Comments ICLR 2020, Workshop on Integration of Deep Neural Models and Differential Equations

A Neuro-AI Interface for Evaluating Generative Adversarial Networks

Zhengwei Wang, Qi She, Alan F. Smeaton, Tomas E. Ward, Graham Healy

Comments Accepted by ICLR 2020 Workshop Bridging AI and Cognitive Science (BAICS). arXiv admin note: substantial text overlap with arXiv:1905.04243

The perceptual boost of visual attention is task-dependent in naturalistic settings

Freddie Bickford Smith, Xiaoliang Luo, Brett D. Roads, Bradley C. Love

Comments Published as a workshop paper at "Bridging AI and Cognitive Science" (ICLR 2020)

Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution

Nikaash Puri, Sukriti Verma, Piyush Gupta, Dhruv Kayastha, Shripad Deshmukh, Balaji Krishnamurthy, Sameer Singh

Comments Accepted at the International Conference on Learning Representations (ICLR) 2020

CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning

Rohit Girdhar, Deva Ramanan

Comments ICLR 2020 (oral). Webpage/code/data: https://rohitgirdhar.github.io/CATER

Meta-Q-Learning

Rasool Fakoor, Pratik Chaudhari, Stefano Soatto, Alexander J. Smola

Comments ICLR 2020 conference paper

Higher-Order Function Networks for Learning Composable 3D Object Representations

Eric Mitchell, Selim Engin, Volkan Isler, Daniel D Lee

Comments To be published in International Conference on Learning Representations (ICLR 2020) [https://openreview.net/forum?id=HJgfDREKDB]; 19 pages

Batch-Shaping for Learning Conditional Channel Gated Networks

Babak Ehteshami Bejnordi, Tijmen Blankevoort, Max Welling

Comments Published as a conference paper at ICLR 2020

Variational Depth Search in ResNets

Javier Antorán, James Urquhart Allingham, José Miguel Hernández-Lobato

Comments Appearing at the 1st ICLR workshop on Neural Architecture Search 2020