Fantastic, #KDD2024 will be in Barcelona!

Really love this #KDD2024 logo. Barcelona, you have class. Bet its not Gen AI.

🚀 Thrilled to announce The International Joint Workshop on Federated Learning for Data Mining and Graph Analytics (FedKDD) which will be co-located with the SIGKDD 2024 #KDD2024 in Barcelona on August 25th-29th, 2024.
📢Call for submission: Join our knowledge-sharing party in…

KDD2024のページができてた。2nd Paper Deadlineというのができてて2回締め切りあるの？2回目のNotification書いてないから2024で発表なのかわからないし8/1締め切りじゃ査読間に合わないよね。
kdd2024.kdd.org

🌟Another exciting announcement! Booking.com is a Silver Sponsor for #KDD2024 !

In August, Amazon will be hosting a workshop on Evaluation and Trustworthiness of Generative AI Models at SIGKDD 2024, and have issued a call for papers. Learn more about the workshop, organizers and submission guidelines for the June 10th deadline: amzn.to/4d4VES8 #KDD2024

🌟 We are thrilled to announce eBay as a Silver Sponsor for #KDD2024 !

🚀 Thrilled to announce the KDD Workshop on Human-Interpretable AI!
Join us to explore #AI explainability, aiming to surpass standard saliency maps and deliver explanations interpretable by all users.
Submit your papers now and be part of shaping the future of #XAI !
#KDD2024

I probably forgot to mention that together with Ricardo Baeza-Yates we're the General Chairs of #KDD2024 to be held next August in beautiful Barcelona! Really excited to be organizing such a great event and looking forward to meeting you all in Barcelona kdd2024.kdd.org

[D] KDD 2024 Reviews

papercopilot.com/statistics/kdd…

Discussions: discu.eu/q/https://pape…

#compsci #machinelearning

🔊 We are excited to announce the 4th Workshop on Knowledge-infused Learning at SIGKDD 2024 #KDD2024 in @Barcelona
Submission Starting: April 15, 2024
Submission Deadline: May 25, 2024
Web: kil-workshop.github.io
#LLMs #SafeLLMs #Consistency #Reliable #NeuroSymbolicAI #KiL2024

Upcoming Deadline Alert: May 23, 2024

KDD 2024 - Call for Undergraduate Consortium
kdd2024.kdd.org/call-for-under…

This is an initiative that endeavors to expand and enhance the participation of undergraduate students in research pertaining to knowledge discovery from data.

Does anyone in my circle know what the scoring scale for KDD reviews is this year? I only see numbers proposed by reviewers but can not find the overall scale anywhere. SIGKDD 2024

#KDD2024

Call for #PhDStudents to conduct research in #RecSys , #UserModeling and #DecisionMaking , #AIED , #EDM , #LAK , and large language models ( #LLMs ). Deadline is Jan 31, 2024. iit.edu/academics/prog… #LAK 24 #UMAP2024 #IUI2024 #KDD2024

Call for Undergraduate Consortium Papers #KDD2024 An initiative aimed at broadening the involvement of undergraduate students from various backgrounds in research related to extracting insights from data. Submission Deadline: May 23, 2024 Details: kdd2024.kdd.org/call-for-under…

We are pleased that “Workshop on Deep Learning and Large Language Models for Knowledge Graphs (DL4KG)” has been accepted at KDD2024. #llm #deeplearning #knowledgegraphs #kdd2024 Stay tuned for more details! Mehwish Alam Davide Buscaldi Michael Cochez Genet Asefa Gesese Francesco Osborne Diego Reforgiato

You can find the website for the #KDD2024 Workshop on Human-Interpretable AI here:
human-interpretable-ai.github.io

🚀Don't miss out on this opportunity at SIGKDD 2024 to delve into #AI explainability and shape the future of #XAI !

📅Submit your papers by the 28th of May

📢 Attention data/ML/AI for public health community: Consider submitting your work! This year we'll have best paper awards and a special track in LLMs for public health.

Reach out via PM or email if any questions.

#ML #epitwitter #publichealth #aiforgood #cfp #KDD2024

🚨 Call for Workshop Papers - KIL at #KDD2024 🚨

Join the 4th Workshop on Knowledge-infused Learning
- Towards Consistent, Reliable, Explainable, and Safe LLMs!

📆Submit your work by May 25

kil-workshop.github.io

Manas Gaur Edward Raff @AISTATS
#SafeLLMs #XAI #NeuroSymbolicAI

The new #KDD2024 review process is hit-or-miss.
1. There are 6 reviewers for every paper, so the quality of reviews is all over the place.
2. The scores are not uni-dimensional but multi-dimensional based on 'Novelty' and 'Technicality'. The final decision is left to ACs.
1/3