All good things come in threes: We will present our last paper at #NAACL2024 "The Roman Empire Strikes Back" at the @SemEvalWorkshop poster session at 14:00. Meet us there! It is a joint work with @konstantinkobs on detecting hallucination detection in text generation models.

Dunno who made this but it's genius. Why change fails:

A PhD student who recently finished her dissertation gave me the book “Big Panda and Tiny Dragon” from James Norbury. This page resonated so much. Does it also apply to your academic journey or would you disagree? #AcademicTwitter #PhDlife #PhDchat

We're pleased to announce the release of our #ChatGPT Plugin🎉 Designed for researchers familiar with https://t.co/iwk6dbUBeZ and those looking to start, this tool grants access to a database of 200M+ scientific publications! (🧵👇🏻1/4)

Our paper “CLIP knows Image Aesthetics” is now published. We show that CLIP is a better base for Image Aesthetic Assessment models than ImageNet, providing useful results even in a zero-shot setting. Previous CLIP studies focus on content and not style features. @datascience_jmu

Our paper "InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images" has been accepted at WACV 2023 https://t.co/M66U5AXZ47 In this paper by K. Kobs, M. Steininger, and A. Hotho, we use language to guide an image embedding process such that the resulting embedding s…

Our paper "On Background Bias in Deep Metric Learning" has been accepted to ICMV 2022 https://t.co/X6syUxk5bG In this paper, we investigate if Deep Metric Learning models are prone to background bias and test a method to alleviate such bias.

I am so excited to announce that our paper "Do Different Deep Metric Learning Losses Lead to Similar Learned Features?" got accepted at @ICCV_2021! 😍 @datascience_jmu

PhD student: There's a word limit and I don't know how to cut this paper any shorte... Senior coauthor: https://t.co/djUtXRfx8d

Design for humans vs. Synergy for middle managers

Please share: We are looking for excellent candidates to fill 4 (open) tenured university professorships at #CAIDAS, the upcoming Center for Artificial Intelligence in Data Science @Uni_WUE! https://t.co/ecMHrzzjOS #HCI #NLP #ML #MachineLearning #Mathematics #CS

Our Discovery Challenge "ChAT - Chat Analytics for Twitch" will be presented next week at @ECMLPKDD 2020. Join us on Friday, Sep 18th, to discuss results and our exciting new Twitch data! https://t.co/jpbh5tZ28b

https://t.co/Ck9EImdzv3 In this interdisciplinary work with @hci_wurzburg, we present an approach of incorporating biofeedback features (heart rate + brain wave) into text-based sentiment tasks - plus you get to watch the talk! https://t.co/A4ne0aEabj #NLProc #ONION #LREC2020

Reviewer two?

"Roses are red, violets are blue, both are somehow similar, but the classifier has no clue." Watch out for SimLoss, which allows to introduce background #knowledge in the form of class similarities into #NeuralNetwork classifiers! #DataScience #ISMIS2020 https://t.co/wQM1S2hDBU

OpenLUR, an easily and globally applicable land use regression framework for air pollution modelling, got accepted at Atmospheric Environment (@ELSenviron)! 🎉 #DataScience #environmental #research

Discover https://t.co/HZhAk0UoCB by analyzing over 200 million stream chat messages. Automatically determine if a user is subscribed to a channel and submit your approach to the “Chat Analysis for Twitch” (ChAT) Discovery Challenge! https://t.co/p86N1Xi5pq #ecmlpkdd2020

My prediction: Nine months from now, more babies than usual are going to be born. We will call them #coronakids 👶

I spent half my day working from home figuring out my VPN

If only every serious deadline reminder email we receive on a daily basis had some dose of humor and creativity in it, our busy stressful days would have passed easier! Thanks ⁦⁦@aclmeeting⁩!! #ACL2020