ICLR

Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning

Chi Han, Qizheng He, Charles Yu, Xinya Du, Hanghang Tong, Heng Ji

Comments 9 pages, 5 figures; accepted by 11th International Conference on Learning Representations (ICLR 2023)

KNIFE: Distilling Reasoning Knowledge From Free-Text Rationales

Aaron Chan, Zhiyuan Zeng, Wyatt Lake, Brihi Joshi, Hanjie Chen, Xiang Ren

Comments TrustML-(un)Limited Workshop at ICLR 2023

Streaming Inference for Infinite Non-Stationary Clustering

Rylan Schaeffer, Gabrielle Kaili-May Liu, Yilun Du, Scott Linderman, Ila Rani Fiete

Comments Published at the Workshop on Agent Learning in Open-Endedness (ALOE) at ICLR 2022

Journal ref Proceedings of the 39th International Conference on Machine Learning, PMLR 162:19366-19387, 2022

PoNet: Pooling Network for Efficient Token Mixing in Long Sequences

Chao-Hong Tan, Qian Chen, Wen Wang, Qinglin Zhang, Siqi Zheng, Zhen-Hua Ling

Comments Accepted by ICLR 2022. Codes and checkpoints are also available on huggingface hub: https://huggingface.co/chtan/ponet-base-uncased

Low-Entropy Latent Variables Hurt Out-of-Distribution Performance

Nandi Schoots, Dylan Cope

Comments Published as a workshop paper at ICLR 2023 Domain Generalization

Joining the Conversation: Towards Language Acquisition for Ad Hoc Team Play

Dylan Cope, Peter McBurney

Comments Published as a workshop paper at EmeCom at ICLR 2022

Long-lead forecasts of wintertime air stagnation index in southern China using oceanic memory effects

Chenhong Zhou, Xiaorui Zhang, Meng Gao, Shanshan Liu, Yike Guo, Jie Chen

Comments ICLR 2023 Tackling Climate Change with Machine Learning Workshop

Deep Ranking Ensembles for Hyperparameter Optimization

Abdus Salam Khazi, Sebastian Pineda Arango, Josif Grabocka

Comments Published in ICLR 2023

Bispectral Neural Networks

Sophia Sanborn, Christian Shewmake, Bruno Olshausen, Christopher Hillar

Journal ref The Eleventh International Conference on Learning Representations (2023)

Noisy Feature Mixup

Soon Hoe Lim, N. Benjamin Erichson, Francisco Utrera, Winnie Xu, Michael W. Mahoney

Comments 34 pages

Journal ref ICLR 2022

Pseudo-Label Training and Model Inertia in Neural Machine Translation

Benjamin Hsu, Anna Currey, Xing Niu, Maria Nădejde, Georgiana Dinu

Comments accepted ICLR 2023

Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks

Yujia Zheng, Ignavier Ng, Yewen Fan, Kun Zhang

Comments ICLR 2023

Understanding the World to Solve Social Dilemmas Using Multi-Agent Reinforcement Learning

Manuel Rios, Nicanor Quijano, Luis Felipe Giraldo

Comments ICLR 2023 - AI4ABM workshop

Real-Time Variational Method for Learning Neural Trajectory and its Dynamics

Matthew Dowling, Yuan Zhao, Il Memming Park

Comments Published at ICLR 2023

Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning

Chengping Rao, Pu Ren, Yang Liu, Hao Sun

Comments The 10th International Conference on Learning Representations (ICLR'2022). arXiv admin note: substantial text overlap with arXiv:2106.04781

Hard Encoding of Physics for Learning Spatiotemporal Dynamics

Chengping Rao, Hao Sun, Yang Liu

Comments ICLR 2021 SimDL Workshop. arXiv admin note: substantial text overlap with arXiv:2106.04781

Ensuring DNN Solution Feasibility for Optimization Problems with Convex Constraints and Its Application to DC Optimal Power Flow Problems

Tianyu Zhao, Xiang Pan, Minghua Chen, Steven H. Low

Comments 62pages, 10 figures. This work is accepted in The Eleventh International Conference on Learning Representations (ICLR2023) as Oral - top 25% accepted

Artificial Neuronal Ensembles with Learned Context Dependent Gating

Matthew J. Tilley, Michelle Miller, David J. Freedman

Comments 13 pages, 9 figures

Journal ref ICLR 2023

Accelerated Single-Call Methods for Constrained Min-Max Optimization

Yang Cai, Weiqiang Zheng

Comments Published as a conference paper at ICLR 2023

The Geometry of Multilingual Language Models: An Equality Lens

Cheril Shah, Yashashree Chandak, Manan Suri

Comments 8 pages, 6 figues, 1st ICLR TinyPapers

Neuromodulation Gated Transformer

Kobe Knowles, Joshua Bensemann, Diana Benavides-Prado, Vithya Yogarajan, Michael Witbrock, Gillian Dobbie, Yang Chen

Comments 8 pages, 1 figure, 4 tables, ICLR 2023 Tiny Papers

How Good are Commercial Large Language Models on African Languages?

Jessica Ojo, Kelechi Ogueji

Comments Presented at the AfricanNLP Workshop at ICLR 2023

Language modeling via stochastic processes

Rose E Wang, Esin Durmus, Noah Goodman, Tatsunori Hashimoto

Comments Correct claims on goal-directed decoding, adds non-goal-directed baselines. ICLR 2022 Oral. Code: https://github.com/rosewang2008/language_modeling_via_stochastic_processes

Dilated convolution with learnable spacings

Ismail Khalfaoui-Hassani, Thomas Pellegrini, Timothée Masquelier

Comments Published in The Eleventh International Conference on Learning Representations (ICLR) 2023. (https://openreview.net/forum?id=Q3-1vRh3HOA)

Journal ref The Eleventh International Conference on Learning Representations ICLR 2023

Knowledge Transfer from Teachers to Learners in Growing-Batch Reinforcement Learning

Patrick Emedom-Nnamdi, Abram L. Friesen, Bobak Shahriari, Nando de Freitas, Matt W. Hoffman

Comments Reincarnating Reinforcement Learning Workshop at ICLR 2023

Interpretability with full complexity by constraining feature information

Kieran A. Murphy, Dani S. Bassett

Comments project page: https://distributed-information-bottleneck.github.io

Journal ref ICLR 2023

Improved Image Wasserstein Attacks and Defenses

Edward J. Hu, Adith Swaminathan, Hadi Salman, Greg Yang

Comments Best paper award at ICLR Trustworthy ML Workshop 2020

Exploring a Gradient-based Explainable AI Technique for Time-Series Data: A Case Study of Assessing Stroke Rehabilitation Exercises

Min Hun Lee, Yi Jing Choy

Comments ICLR 2023 Workshop on Time Series Representation Learning for Health

Simplicial Hopfield networks

Thomas F Burns, Tomoki Fukai

Comments 36 pages, 7 figures, published as a conference paper at ICLR 2023

Journal ref International Conference on Learning Representations 2023

Interpretations of Domain Adaptations via Layer Variational Analysis

Huan-Hsin Tseng, Hsin-Yi Lin, Kuo-Hsuan Hung, Yu Tsao

Comments Published at ICLR 2023