ICLR

Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series

Enyan Dai, Jie Chen

Comments ICLR 2022. Code is available at https://github.com/EnyanDai/GANF

Decoupled Adaptation for Cross-Domain Object Detection

Junguang Jiang, Baixu Chen, Jianmin Wang, Mingsheng Long

Journal ref ICLR 2022

Do We Need Anisotropic Graph Neural Networks?

Shyam A. Tailor, Felix L. Opolka, Pietro Liò, Nicholas D. Lane

Comments Published as a conference paper at ICLR 2022

Neurals Networks for Projecting Named Entities from English to Ewondo

Michael Franklin Mbouopda, Paulin Melatagia Yonta, Guy Stephane B. Fedim Lombo

Journal ref International Conference on Learning Representations, AfricaNLP Workshop 2020

Trainable Wavelet Neural Network for Non-Stationary Signals

Jason Stock, Chuck Anderson

Comments AI for Earth and Space Science Workshop at the International Conference on Learning Representations (ICLR), April, 2022

Transformer Embeddings of Irregularly Spaced Events and Their Participants

Chenghao Yang, Hongyuan Mei, Jason Eisner

Comments ICLR 2022 Final

Learning Optimal Conformal Classifiers

David Stutz, Krishnamurthy, Dvijotham, Ali Taylan Cemgil, Arnaud Doucet

Comments ICLR 2022

Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics

Sizhe Li, Zhiao Huang, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan

Comments ICLR 2022 Spotlight. Project page: http://cpdeform.csail.mit.edu

General sum stochastic games with networked information flows

Sarah H. Q. Li, Lillian J. Ratliff, Peeyush Kumar

Comments 10 pages, 5 figures, Gamification and Multiagent solutions Workshop (ICLR 2022)

Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks

Mario Lino, Stathi Fotiadis, Anil A. Bharath, Chris Cantwell

Comments Accepted at the ICLR 2022 Workshop on AI for Earth and Space Science. arXiv admin note: substantial text overlap with arXiv:2106.04900

StyleAlign: Analysis and Applications of Aligned StyleGAN Models

Zongze Wu, Yotam Nitzan, Eli Shechtman, Dani Lischinski

Comments 44 pages, 37 figures

Journal ref Proc. 10th International Conference on Learning Representations, ICLR 2022

The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization

Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber

Comments Accepted to ICLR 2022

Tracking the risk of a deployed model and detecting harmful distribution shifts

Aleksandr Podkopaev, Aaditya Ramdas

Comments Accepted as a conference paper at ICLR 2022

KELM: Knowledge Enhanced Pre-Trained Language Representations with Message Passing on Hierarchical Relational Graphs

Yinquan Lu, Haonan Lu, Guirong Fu, Qun Liu

Comments ICLR 2022 on DLG4NLP

Journal ref ICLR 2022 Workshop on Deep Learning on Graphs for Natural Language Processing,2022

Maximum Entropy RL (Provably) Solves Some Robust RL Problems

Benjamin Eysenbach, Sergey Levine

Comments Published at ICLR 2022. Blog post and videos: https://bair.berkeley.edu/blog/2021/03/10/maxent-robust-rl/. arXiv admin note: text overlap with arXiv:1910.01913

Maximum n-times Coverage for Vaccine Design

Ge Liu, Alexander Dimitrakakis, Brandon Carter, David Gifford

Comments ICLR 2022

Understanding and Preventing Capacity Loss in Reinforcement Learning

Clare Lyle, Mark Rowland, Will Dabney

Comments Presented at ICLR 2022

A Systematic Evaluation of Large Language Models of Code

Frank F. Xu, Uri Alon, Graham Neubig, Vincent J. Hellendoorn

Comments DL4C@ICLR 2022, and MAPS@PLDI 2022

Few-Shot Backdoor Attacks on Visual Object Tracking

Yiming Li, Haoxiang Zhong, Xingjun Ma, Yong Jiang, Shu-Tao Xia

Comments This work is accepted by the ICLR 2022. The first two authors contributed equally to this work. In this version, we fix some typos and errors contained in the last one. 21 pages

GNN-LM: Language Modeling based on Global Contexts via GNN

Yuxian Meng, Shi Zong, Xiaoya Li, Xiaofei Sun, Tianwei Zhang, Fei Wu, Jiwei Li

Comments To appear at ICLR 2022

Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies

Alon Berliner, Guy Rotman, Yossi Adi, Roi Reichart, Tamir Hazan

Comments Published as a conference paper at ICLR 2022

Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization

Zihan Zhou, Wei Fu, Bingliang Zhang, Yi Wu

Comments 30 pages, 15 figures, published as a conference paper at ICLR 2022

Self-Ensemble Adversarial Training for Improved Robustness

Hongjun Wang, Yisen Wang

Comments 18 pages, 3 figures, ICLR 2022

Journal ref In International Conference on Learning Representations (2022)

Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models

Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang

Comments ICLR 2022 (Outstanding Paper Award)

Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation

Vincent Mai, Kaustubh Mani, Liam Paull

Comments ICLR 2022 [Spotlight]

ComPhy: Compositional Physical Reasoning of Objects and Events from Videos

Zhenfang Chen, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan

Comments ICLR 2022. Project page: https://comphyreasoning.github.io/

A Survey on Uncertainty Toolkits for Deep Learning

Maximilian Pintz, Joachim Sicking, Maximilian Poretschkin, Maram Akila

Comments Accepted at the ICLR 2022 workshop "Setting up ML Evaluation Standards to Accelerate Progress"

New Insights on Reducing Abrupt Representation Change in Online Continual Learning

Lucas Caccia, Rahaf Aljundi, Nader Asadi, Tinne Tuytelaars, Joelle Pineau, Eugene Belilovsky

Comments Accepted at ICLR 2022. Code available at www.github.com/pclucas14/AML

Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures

Jatin Chauhan, Deepak Nathani, Manohar Kaul

Comments 19 pages, 9 figures, Published as a conference paper at ICLR 2020

Journal ref ICLR 2020

Graph Anisotropic Diffusion

Ahmed A. A. Elhag, Gabriele Corso, Hannes Stärk, Michael M. Bronstein

Comments 10 pages, 3 figures, Published at the GTRL and MLDD workshops, ICLR 2022