ICLR

Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis

Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal

Comments ICLR-2021

Measuring Massive Multitask Language Understanding

Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, Jacob Steinhardt

Comments ICLR 2021; the test and code is available at https://github.com/hendrycks/test

Graph Neural Networks Exponentially Lose Expressive Power for Node Classification

Kenta Oono, Taiji Suzuki

Comments 9 pages, Supplemental material 28 pages. Accepted in International Conference on Learning Representations (ICLR) 2020

Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps

Tri Dao, Nimit S. Sohoni, Albert Gu, Matthew Eichhorn, Amit Blonder, Megan Leszczynski, Atri Rudra, Christopher Ré

Comments International Conference on Learning Representations (ICLR) 2020 spotlight

DeepSphere: a graph-based spherical CNN

Michaël Defferrard, Martino Milani, Frédérick Gusset, Nathanaël Perraudin

Comments published at ICLR'20, https://openreview.net/forum?id=B1e3OlStPB

Gradient Descent Maximizes the Margin of Homogeneous Neural Networks

Kaifeng Lyu, Jian Li

Comments 52 pages, 9 figures; Published in ICLR 2020; Corrected typos and added a few references

Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets

Mingrui Liu, Youssef Mroueh, Jerret Ross, Wei Zhang, Xiaodong Cui, Payel Das, Tianbao Yang

Comments Accepted by ICLR 2020

Robustness Verification for Transformers

Zhouxing Shi, Huan Zhang, Kai-Wei Chang, Minlie Huang, Cho-Jui Hsieh

Comments ICLR 2020

Graph HyperNetworks for Neural Architecture Search

Chris Zhang, Mengye Ren, Raquel Urtasun

Comments ICLR 2019

Resolving Spurious Correlations in Causal Models of Environments via Interventions

Sergei Volodin, Nevan Wichers, Jeremy Nixon

Comments 9 pages, 7 figures, 3 pages supplementary material

Journal ref Causal Learning for Decision Making (CLDM) ICLR CLDM 2020

Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms

João Caldeira, Brian Nord

Comments 11 pages, 3 figures; Presented at ICLR 2020 Workshop on Fundamental Science in the era of AI; changes to match accepted version

Journal ref Mach. Learn.: Sci. Technol. 2 015002 (2021)

Constrained Neural Ordinary Differential Equations with Stability Guarantees

Aaron Tuor, Jan Drgona, Draguna Vrabie

Comments 4 pages, Appendix

Journal ref Presented at DEEPDIFFEQ 2020 : ICLR Workshop on Integration of Deep Neural Models and Differential Equations

Generative Model-Enhanced Human Motion Prediction

Anthony Bourached, Ryan-Rhys Griffiths, Robert Gray, Ashwani Jha, Parashkev Nachev

Comments 8 pages + 5 pages supplementary materials, under review at ICLR

Generative Adversarial Simulator

Jonathan Raiman

Comments Presented at the Beyond "Tabula Rasa" in Reinforcement Learning (BeTR-RL): Agents that remember, adapt, and generalize ICLR 2020 workshop

GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations

Martin Engelcke, Adam R. Kosiorek, Oiwi Parker Jones, Ingmar Posner

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

Robust Training with Ensemble Consensus

Jisoo Lee, Sae-Young Chung

Comments ICLR 2020

And the Bit Goes Down: Revisiting the Quantization of Neural Networks

Pierre Stock, Armand Joulin, Rémi Gribonval, Benjamin Graham, Hervé Jégou

Comments ICLR 2020 camera-ready

Making Sense of Reinforcement Learning and Probabilistic Inference

Brendan O'Donoghue, Ian Osband, Catalin Ionescu

Comments ICLR 2020

Certified Defenses against Adversarial Examples

Aditi Raghunathan, Jacob Steinhardt, Percy Liang

Comments Published at the International Conference on Learning Representations (ICLR) 2018

Recurrent neural circuits for contour detection

Drew Linsley, Junkyung Kim, Alekh Ashok, Thomas Serre

Comments Published in ICLR 2020

Disentangling neural mechanisms for perceptual grouping

Junkyung Kim, Drew Linsley, Kalpit Thakkar, Thomas Serre

Comments Published in ICLR 2020

Selection via Proxy: Efficient Data Selection for Deep Learning

Cody Coleman, Christopher Yeh, Stephen Mussmann, Baharan Mirzasoleiman, Peter Bailis, Percy Liang, Jure Leskovec, Matei Zaharia

Comments ICLR 2020

A Baseline for Few-Shot Image Classification

Guneet S. Dhillon, Pratik Chaudhari, Avinash Ravichandran, Stefano Soatto

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

Revisiting Self-Training for Neural Sequence Generation

Junxian He, Jiatao Gu, Jiajun Shen, Marc'Aurelio Ranzato

Comments ICLR 2020. The first two authors contributed equally. Updated to fix typos

Human Perception-based Evaluation Criterion for Ultra-high Resolution Cell Membrane Segmentation

Ruohua Shi, Wenyao Wang, Zhixuan Li, Liuyuan He, Kaiwen Sheng, Lei Ma, Kai Du, Tingting Jiang, Tiejun Huang

Comments submitted to ICLR 2021

Thieves on Sesame Street! Model Extraction of BERT-based APIs

Kalpesh Krishna, Gaurav Singh Tomar, Ankur P. Parikh, Nicolas Papernot, Mohit Iyyer

Comments ICLR 2020 Camera Ready (19 pages)

Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain

Beren Millidge, Alexander Tschantz, Anil K Seth, Christopher L Buckley

Comments initial upload; revised version (updated abstract, related work) 28-09-20; 05/10/20: revised for ICLR submission; 10/10/20: minor revisions

Dynamic Relational Inference in Multi-Agent Trajectories

Ruichao Xiao, Manish Kumar Singh, Rose Yu

Comments submitted to ICLR 2021

Projection-Based Constrained Policy Optimization

Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge

Comments International Conference on Learning Representations (ICLR) 2020

Adversarial Boot Camp: label free certified robustness in one epoch

Ryan Campbell, Chris Finlay, Adam M Oberman

Comments 13 pages, 5 figures, 5 tables. Under review as a conference paper at ICLR 2021. arXiv admin note: substantial text overlap with arXiv:2006.06061