Five papers accepted by ICLR2025!
From the OIST machine learning and data science (MLDS) unit, we have five ICLR papers accepted! Congratulations!
- Kira M Düsterwald, Samo Hromadka, & Makoto Yamada. Fast unsupervised ground metric learning with tree-Wasserstein distance. In ICLR, 2025.
- Satoki Ishikawa, Makoto Yamada, Han Bao, & Yuki Takezawa. PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis. In ICLR, 2025.
- Siqi Zeng, Sixian Du, Makoto Yamada, & Han Zhao. Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport. In ICLR, 2025.
- Yuki Takezawa, & Sebastian Stich. Scalable Decentralized Learning with Teleportation. In ICLR, 2025.
- Hossein Mirzaei, Mojtaba Nafez, Jafar Habibi, Mohammad Sabokrou, & Mohammad Hossein Rohban. Adversarially Robust Anomaly Detection through Spurious Negative Pair Mitigation. In ICLR, 2025.