Rose Yu

By ICLR 2023 Workshop Chairs, Aisha Walcott-Bryant, Celia Cintas, Hang Zhao, Rose Yu

We want to thank everyone who submitted a workshop proposal to ICLR. We were very impressed by the quality of the proposals and thrilled to be able to include some of them as a part of the ICLR 2023 program. This year, we received 51 submissions and accepted 21 hybrid/in-person and 5 fully virtual workshops. 

We also want to thank our teams of reviewers, the ICLR program committee, and the ICLR 2023 Chairs for their kind support.

Selection Process

Ultimately, we could not accept every proposal, but we worked to balance a few goals. We wanted a good representation of theory, applications, and innovative multidisciplinary workshops to broaden the ICLR community. We also aimed to promote diversity, broadening geographic, gender, institutions, and seniority in the organization team and the invited speakers. Additionally, in this call for workshop proposals, we included the option for different modalities, such as hybrid, in-person, and fully virtual workshops.

This year, we will have two days for workshops on May 4th and May 5th 2023. To attract a diverse audience and encourage attendance,  we tried to avoid having workshops with very similar or narrow topics.

We look forward to all your contributions to the workshops!

Accepted In-Person/Hybrid Workshops

Tackling Climate Change with Machine Learning: Global Perspectives and Local Challenges

Neural Fields across Fields: Methods and Applications of Implicit Neural Representations

4th Workshop on African Natural Language Processing (AfricaNLP 2023)

Mathematical and Empirical Understanding of Foundation Models (ME-FoMo)

Machine Learning for Drug Discover (MLDD)

ICLR 2023 Workshop on Machine Learning for Remote Sensing

AI for Agent-Based Modelling (AI4ABM)

Accelerating Model Driven Discovery with ML

Neurosymbolic Generative Models (NeSy-GeMs)

Reincarnating Reinforcement Learning

Physics for Machine Learning

Time Series Representation Learning for Health

First workshop on “Machine Learning & Global Health”

Machine Learning for IoT: Datasets, Perception, and Understanding

Pitfalls of limited data and computation for Trustworthy ML

Trustworthy and Reliable Large-Scale Machine Learning Models

ICLR 2023 Workshop on Sparsity in Neural Networks: On practical limitations and tradeoffs between sustainability and efficiency

Scene Representations for Autonomous Driving

Multimodal Representation Learning (MRL): Perks and Pitfalls

4th Workshop on practical ML for Developing Countries: learning under limited/low resource settings

First Workshop on Social Influence in Natural Language Processing (SocInf-NLP 2023)

Accepted Virtual Workshops

Trustworthy Machine Learning in Healthcare

From Molecules to Materials: ICLR 2023 Workshop on Machine learning for materials (ML4Materials)

What do we need for successful domain generalization?

Backdoor Attacks and Defenses in Machine Learning

Deep Learning for Code (DL4C)