Accepted Papers
- Towards Generalized Brain Decoding of visual stimuli: Cross-Subject and Dataset Perspectives with a simple alignment technique [PDF]
Matteo Ferrante (University of Rome Tor Vergata), Tommaso Boccato (University of Rome Tor Vergata), Furkan Ozcelik (CerCo), Rufin VanRullen (CNRS), Nicola Toschi (University of Rome Tor Vergata)
- LaFFi: Leveraging Hybrid Natural Language Feedback for Fine-tuning Language Models BEST PAPER RUNNER-UP [PDF]
Qianxi Li (University of Alberta), Yingyue Cao (University of Alberta), Jaxon Kang (Huawei Noak's Ark Lab), Tianpei Yang (University of Alberta), Xi Chen (Huawei Noak's Ark Lab), Jun Jin (University of Alberta), Matthew E. Taylor (U. of Alberta)
- Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data [PDF]
Sofia Yfantidou (Aristotle University of Thessaloniki), Dimitris Spathis (Nokia Bell Labs), Marios Constantinides (Nokia Bell Labs), Athena Vakal (Aristotle University of Thessaloniki), Daniele Quercia (Nokia Bell Labs), Fahim Kawsar (Nokia Bell Labs)
- Advancing Ante Hoc Explainable Models through Generative Adversarial Networks [PDF]
Tanmay Garg (IIT Hyderabad), Deepika Vemuri (IIT Hyderabad), Vineeth Balasubramanian (IIT Hyderabad)
- H2G2-Net: A Hierarchical Heterogeneous Graph Generative Network Framework for Discovery of Multi-Modal Physiological Responses [PDF]
Haidong Gu (Northeastern University), Nathan Gaw (Air Force Institute of Technology), Yinan Wang (Rensselaer Polytechnic Institute), Chancellor Johnstone (Air Force Institute of Technology), Christine Beauchene (MIT Lincoln Laboratory), Sophia Yuditskaya (MIT Lincoln Laboratory), Hrishikesh Rao (MIT Lincoln Laboratory), Chun-An Chou (Northeastern University)
- Improving Activation Steering in Language Models with Mean-Centring BEST PAPER AWARD [PDF]
Ole K Jorgensen (Independent), Dylan Cope (Kings College London), Nandi Schoots (Kings College London), Murray Shanahan (Imperial College London)
- Learning Human-like Representations to Enable Learning Human Values BEST PAPER RUNNER-UP [PDF]
Andrea H Wynn (Princeton University), Ilia Sucholutsky (Princeton University), Tom Griffiths (UC Berkeley)
- Semi-Supervised Graph Representation Learning with Human-centric Explanation for Predicting Fatty Liver Disease [PDF]
So Yeon Kim (Ajou University), Sehee Wang (Ajou University), Eun Kyung Choe (Seoul National University Hospital)
- Representation Learning for Wearable-Based Applications in the Case of Missing Data [PDF]
Janosch Jungo (ETH Zürich), Yutong Xiang (ETH Zürich), Shkurta Gashi (ETH AI Center), Christian Holz (ETH Zürich)
- Balancing Continual Learning and Fine-tuning for Human Activity Recognition [PDF]
Chi Ian Tang (University of Cambridge), Lorena Qendro (Nokia Bell Labs), Dimitris Spathis (Nokia Bell Labs), Fahim Kawsar (Nokia Bell Labs), Akhil Mathur (Nokia Bell Labs), Cecilia Mascolo (University of Cambridge)