ICLR

Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel

Xin Qiu, Elliot Meyerson, Risto Miikkulainen

Comments Fixed technical typos in log marginal likelihood calculation and Lemma A.2 proof

Journal ref Published at ICLR 2020

Using competency questions to select optimal clustering structures for residential energy consumption patterns

Wiebke Toussaint, Deshendran Moodley

Comments 4 pages, Machine Learning in Real Life Workshop at ICLR 2020

Distilling Neural Networks for Greener and Faster Dependency Parsing

Mark Anderson, Carlos Gómez-Rodríguez

Comments To be published in proceedings of the 16th International Conference on Parsing Technologies. Earlier versions were rejected at the 58th Annual Conference of the Association for Computational Linguistics and 8th International Conference on Learning Representations

Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations

Yichi Zhang, Ritchie Zhao, Weizhe Hua, Nayun Xu, G. Edward Suh, Zhiru Zhang

Comments Published as a conference paper at ICLR 2020

CNN-based Approach for Cervical Cancer Classification in Whole-Slide Histopathology Images

Ferdaous Idlahcen, Mohammed Majid Himmi, Abdelhak Mahmoudi

Comments Presented at the ICLR 2020 Workshop on AI for Overcoming Global Disparities in Cancer Care (AI4CC)

Artificial Intelligence for Global Health: Learning From a Decade of Digital Transformation in Health Care

Varoon Mathur, Saptarshi Purkayastha, Judy Wawira Gichoya

Comments Accepted Paper at ICLR 2020 Workshop on Practical ML for Developing Countries

AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures

Michael S. Ryoo, AJ Piergiovanni, Mingxing Tan, Anelia Angelova

Journal ref ICLR 2020

Towards intervention-centric causal reasoning in learning agents

Benjamin Lansdell

Comments 11 page, 4 figures. Presented at ICLR 2020 workshop 'Causal learning for decision making'

Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO

Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry

Comments ICLR 2020 version. arXiv admin note: text overlap with arXiv:1811.02553

Restricting the Flow: Information Bottlenecks for Attribution

Karl Schulz, Leon Sixt, Federico Tombari, Tim Landgraf

Comments 18 pages, 12 figures, accepted at ICLR 2020 (Oral)

A Closer Look at Deep Policy Gradients

Andrew Ilyas, Logan Engstrom, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry

Comments ICLR 2020 version

PruneNet: Channel Pruning via Global Importance

Ashish Khetan, Zohar Karnin

Comments 12 pages, 3 figures, Published in ICLR 2020 NAS Workshop

A Study of Deep Learning Colon Cancer Detection in Limited Data Access Scenarios

Apostolia Tsirikoglou, Karin Stacke, Gabriel Eilertsen, Martin Lindvall, Jonas Unger

Comments Presented at the ICLR 2020 Workshop on AI for Overcoming Global Disparities in Cancer Care (AI4CC)

Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics

Donald Martin, Vinodkumar Prabhakaran, Jill Kuhlberg, Andrew Smart, William S. Isaac

Comments Eighth Annual Conference on Learning Representations (ICLR 2020), Virtual Workshop: Machine Learning in Real Life, April 26, 2020, 6 pages, 1 figure, fix comment typo, fix author name

Mixed Precision DNNs: All you need is a good parametrization

Stefan Uhlich, Lukas Mauch, Fabien Cardinaux, Kazuki Yoshiyama, Javier Alonso Garcia, Stephen Tiedemann, Thomas Kemp, Akira Nakamura

Comments International Conference on Learning Representations (ICLR) 2020; Source code at https://github.com/sony/ai-research-code

ReLU Code Space: A Basis for Rating Network Quality Besides Accuracy

Natalia Shepeleva, Werner Zellinger, Michal Lewandowski, Bernhard Moser

Comments in ICLR 2020 Workshop on Neural Architecture Search (NAS 2020)

Gradientless Descent: High-Dimensional Zeroth-Order Optimization

Daniel Golovin, John Karro, Greg Kochanski, Chansoo Lee, Xingyou Song, Qiuyi Zhang

Comments 11 main pages, 26 total pages

Journal ref ICLR 2020 Spotlight

Multi-Task Learning in Histo-pathology for Widely Generalizable Model

Jevgenij Gamper, Navid Alemi Kooohbanani, Nasir Rajpoot

Journal ref AI4CC ICLR 2020 workshop

Inferring astrophysical X-ray polarization with deep learning

Nikita Moriakov, Ashwin Samudre, Michela Negro, Fabian Gieseke, Sydney Otten, Luc Hendriks

Comments Accepted to International Conference on Learning Representations (ICLR) 2020 Workshop: Fundamental Science in the Era of AI

Model-Augmented Actor-Critic: Backpropagating through Paths

Ignasi Clavera, Violet Fu, Pieter Abbeel

Comments Accepted paper at ICLR 2020

Towards classification parity across cohorts

Aarsh Patel, Rahul Gupta, Mukund Harakere, Satyapriya Krishna, Aman Alok, Peng Liu

Comments Published in ML-IRL ICLR 2020 workshop

Emergence of functional and structural properties of the head direction system by optimization of recurrent neural networks

Christopher J. Cueva, Peter Y. Wang, Matthew Chin, Xue-Xin Wei

Comments International Conference on Learning Representations (ICLR) 2020

Learning from Rules Generalizing Labeled Exemplars

Abhijeet Awasthi, Sabyasachi Ghosh, Rasna Goyal, Sunita Sarawagi

Comments ICLR 2020 (Spotlight)

Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers

Junjie Liu, Zhe Xu, Runbin Shi, Ray C. C. Cheung, Hayden K. H. So

Comments ICLR 2020, camera ready version

Neural Machine Translation for South Africa's Official Languages

Laura Martinus, Jason Webster, Joanne Moonsamy, Moses Shaba Jnr, Ridha Moosa, Robert Fairon

Comments workshop paper at AfricaNLP, ICLR 2020

Sub-policy Adaptation for Hierarchical Reinforcement Learning

Alexander C. Li, Carlos Florensa, Ignasi Clavera, Pieter Abbeel

Comments ICLR 2020

Apple Defect Detection Using Deep Learning Based Object Detection For Better Post Harvest Handling

Paolo Valdez

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

DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks

Xingjian Li, Haoyi Xiong, Hanchao Wang, Yuxuan Rao, Liping Liu, Zeyu Chen, Jun Huan

Comments Accepted at ICLR 2019

Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

Ruqi Zhang, Chunyuan Li, Jianyi Zhang, Changyou Chen, Andrew Gordon Wilson

Comments Published at ICLR 2020

Learned Step Size Quantization

Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani, Rathinakumar Appuswamy, Dharmendra S. Modha

Comments International Conference on Learning Representations (2020)