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ICBINB@NeurIPS 2023 : ICBINB@NeurIPS2023 - Failure Modes in the Age of Foundation Models

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Link: https://sites.google.com/view/icbinb-2023/home
 
When Dec 16, 2023 - Dec 16, 2023
Where New Orleans
Submission Deadline Oct 1, 2023
Notification Due Oct 27, 2023
Final Version Due Nov 30, 2023
Categories    machine learning   NLP   philosophy of science
 

Call For Papers

Subject: Call For Papers ICBINB@NeurIPS2023 - Failure Modes in the Age of Foundation Models

We are happy to announce the I Can’t Believe It’s Not Better workshop at NeurIPS 2023. This year the workshop is titled Failure Modes in the Age of Foundation Models. We invite submissions that focus on surprising or negative results when using foundation models as well as submissions with more general negative results from machine learning. The full call for papers is below.

Key Information

Paper Submission Deadline - October 1, 2023 (Anywhere on Earth)

Workshop Website: https://sites.google.com/view/icbinb-2023/home

Call For Papers

The goal of the I Can’t Believe It’s Not Better workshop series is to promote “slow science” that pushes back against “leaderboard-ism”, and provides a forum to share surprising or negative results. In 2023 we propose to apply this same approach to the timely topic of foundation models.

The hype around ChatGPT, Stable Diffusion and SegmentAnything might suggest that all the interesting problems have been solved and artificial general intelligence is just around the corner. In this workshop we cooly reflect on this optimism, inviting submissions on failure modes of foundation models, i.e. unexpected negative results. In addition we invite contributions that will help us understand when we should expect foundation models to disrupt existing sub-fields of ML and when these powerful methods will remain complementary to another sub-field of machine learning.

We invite submissions on the following topics:
Failure modes of current foundation models (safety, explainability, methodological limitations, etc.)
Failure modes of applying foundation models, embeddings or other massive scale deep learning models.
Development of machine learning methodologies that benefit from foundation models, but necessitate other techniques.
Meta machine learning research and reflections on the impact of foundation models on the broader field of machine learning.
Negative scientific findings in a more general sense. In keeping with previous workshops we will accept findings on methodologies or tools that gave surprising negative results without foundation models. Such submissions are encouraged especially with discussion on the relevance of findings in the present climate where foundation models are changing the field.

Technical submissions may center on machine learning, deep learning or deep learning adjacent fields (causal DL, meta-learning, generative modelling, adversarial examples, probabilistic reasoning, etc) as well as domain specific applications.

Papers will be assessed on:
Clarity of writing
Rigor and transparency in the scientific methodologies employed
Novelty and significance of insights
Quality of discussion of limitations
Reproducibility of results

Selected papers will be optionally included in a special issue of PMLR. Alternatively, some authors may prefer their paper to be in the non-archival track which is to share preliminary findings that will later go to full review at another venue.

Related Resources

Foundation Models: Theory, Technology, a 2024   Intelligent Computing: Special Issue: Foundation Models: Theory, Technology, and Applications
IEEE-Ei/Scopus-ITCC 2025   2025 5th International Conference on Information Technology and Cloud Computing (ITCC 2025)-EI Compendex
FL@FM-TheWebConf 2025   International Workshop on Federated Foundation Models for the Web 2025
SPIE-Ei/Scopus-DMNLP 2025   2025 2nd International Conference on Data Mining and Natural Language Processing (DMNLP 2025)-EI Compendex&Scopus
FMs4Bio 2025   FMs4Bio25: 2nd AAAI Workshop on Foundation Models for Biological Discoveries
IEEE-Ei/Scopus-CNIOT 2025   2025 IEEE 6th International Conference on Computing, Networks and Internet of Things (CNIOT 2025) -EI Compendex
FL@FM-NeurIPS 2024   International Workshop on Federated Foundation Models in Conjunction with NeurIPS 2024
AMLDS 2025   IEEE--2025 International Conference on Advanced Machine Learning and Data Science
ENLSP 2025   The 4th NeurIPS ENLSP 2024 workshop on Efficient Natural Language & Speech Processing: Highlighting New Architectures for Future Foundation Models
FL@FM-IJCAI 2024   International Workshop on Federated Learning in the Age of Foundation Models In Conjunction with IJCAI 2024