Performance of Zero-Shot Time Series Foundation Models on Cloud Data

William Toner, Thomas L. Lee, Artjom Joosen, Rajkarn Singh, Martin Asenov; Proceedings on "I Can't Believe It's Not Better: Challenges in Applied Deep Learning" at ICLR 2025 Workshops, PMLR 296:1-12

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Rethinking Evaluation for Temporal Link Prediction through Counterfactual Analysis

Aniq Ur Rahman, Alexander Modell, Justin Coon; Proceedings on "I Can't Believe It's Not Better: Challenges in Applied Deep Learning" at ICLR 2025 Workshops, PMLR 296:13-19

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Filter bubbles and affective polarization in user-personalized large language model outputs

Han Wu, Sareh Rowlands, Johan Wahlstrom; Proceedings on "I Can't Believe It's Not Better: Challenges in Applied Deep Learning" at ICLR 2025 Workshops, PMLR 296:20-25

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Modeling speech emotion with label variance and analyzing performance across speakers and unseen acoustic conditions

Vikramjit Mitra, Amrit Romana, Dung Tran, Erdrin Azemi; Proceedings on "I Can't Believe It's Not Better: Challenges in Applied Deep Learning" at ICLR 2025 Workshops, PMLR 296:26-36

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On the Power of Heuristics in Temporal Graphs

Filip Cornell, Oleg Smirnov, Gabriela Zarzar Gandler, Lele Cao; Proceedings on "I Can't Believe It's Not Better: Challenges in Applied Deep Learning" at ICLR 2025 Workshops, PMLR 296:37-46

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On the Limits of Applying Graph Transformers for Brain Connectome Classification

Jose Miguel Lara Rangel, Clare Elizabeth Heinbaugh; Proceedings on "I Can't Believe It's Not Better: Challenges in Applied Deep Learning" at ICLR 2025 Workshops, PMLR 296:47-55

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Know Thy Judge: On the Robustness Meta-Evaluation of LLM Safety Judges

Francisco Eiras, Eliott Zemour, Eric Lin, Vaikkunth Mugunthan; Proceedings on "I Can't Believe It's Not Better: Challenges in Applied Deep Learning" at ICLR 2025 Workshops, PMLR 296:56-66

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Impact of Task Phrasing on Presumptions in Large Language Models

Kenneth J. K. Ong; Proceedings on "I Can't Believe It's Not Better: Challenges in Applied Deep Learning" at ICLR 2025 Workshops, PMLR 296:67-74

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Last Layer Empirical Bayes

Valentin Villecroze, Yixin Wang, Gabriel Loaiza-Ganem; Proceedings on "I Can't Believe It's Not Better: Challenges in Applied Deep Learning" at ICLR 2025 Workshops, PMLR 296:75-83

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How Effective Are AI Models in Translating English Scientific Texts to Nigerian Pidgin: A Low-resource Language?

Flora Oladipupo, Anthony Soronnadi, Ife Adebara, Olubayo Adekanmbi; Proceedings on "I Can't Believe It's Not Better: Challenges in Applied Deep Learning" at ICLR 2025 Workshops, PMLR 296:84-89

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In Search of Forgotten Domain Generalization

Prasanna Mayilvahanan, Roland S. Zimmermann, Thaddäus Wiedemer, Evgenia Rusak, Attila Juhos, Matthias Bethge, Wieland Brendel; Proceedings on "I Can't Believe It's Not Better: Challenges in Applied Deep Learning" at ICLR 2025 Workshops, PMLR 296:90-130

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Challenges of Decomposing Tools in Surgical Scenes Through Disentangling The Latent Representations

Sai Lokesh Gorantla, Raviteja Sista, Apoorva Srivastava, Utpal De, Partha Pratim Chakrabarti, Debdoot Sheet; Proceedings on "I Can't Believe It's Not Better: Challenges in Applied Deep Learning" at ICLR 2025 Workshops, PMLR 296:130-140

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On the Role of Structure in Hierarchical Graph Neural Networks

Luca Sbicego, Sevda Öğüt, Manuel Madeira, Yiming QIN, Dorina Thanou, Pascal Frossard; Proceedings on "I Can't Believe It's Not Better: Challenges in Applied Deep Learning" at ICLR 2025 Workshops, PMLR 296:141-150

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An Integrated YOLO and VLM System for Fire Detection in Enclosed Environments

Jongeun Kim, Yejin Lee, Dongsik Yoon, Chansung Jung, Gunhee Lee; Proceedings on "I Can't Believe It's Not Better: Challenges in Applied Deep Learning" at ICLR 2025 Workshops, PMLR 296:151-162

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