- Ozan Özdenizci, Robert Legenstein. Adversarially Robust Spiking Neural Networks Through Conversion. Trans. Mach. Learn. Res., 2024, 2024.
- Lars Doorenbos, Pablo Márquez-Neila, Raphael Sznitman, Pascal Mettes. Hyperbolic Random Forests. Trans. Mach. Learn. Res., 2024, 2024.
- Daiqing Qi, Handong Zhao, Xiaowei Jia, Sheng Li 0001. Revealing an Overlooked Challenge in Class-Incremental Graph Learning. Trans. Mach. Learn. Res., 2024, 2024.
- Muberra Ozmen, Thomas Markovich. Recent Link Classification on Temporal Graphs Using Graph Profiler. Trans. Mach. Learn. Res., 2024, 2024.
- Jindong Gu, Xiaojun Jia, Pau de Jorge, Wenqian Yu, Xinwei Liu, Avery Ma, Yuan Xun, Anjun Hu, Ashkan Khakzar, Zhijiang Li, Xiaochun Cao, Philip Torr 0001. A Survey on Transferability of Adversarial Examples Across Deep Neural Networks. Trans. Mach. Learn. Res., 2024, 2024.
- Brendan Leigh Ross, Gabriel Loaiza-Ganem, Anthony L. Caterini, Jesse C. Cresswell. Neural Implicit Manifold Learning for Topology-Aware Density Estimation. Trans. Mach. Learn. Res., 2024, 2024.
- Haoxiang Wang 0003, Haozhe Si, Huajie Shao, Han Zhao 0002. Enhancing Compositional Generalization via Compositional Feature Alignment. Trans. Mach. Learn. Res., 2024, 2024.
- Albert Ziegler 0001, Pawel Czyz. Bayesian Quantification with Black-Box Estimators. Trans. Mach. Learn. Res., 2024, 2024.
- Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Manon Devin, Alex X. Lee, Maria Bauzá Villalonga, Todor Davchev, Yuxiang Zhou, Agrim Gupta, Akhil Raju, Antoine Laurens, Claudio Fantacci, Valentin Dalibard, Martina Zambelli, Murilo Fernandes Martins, Rugile Pevceviciute, Michiel Blokzijl, Misha Denil, Nathan Batchelor, Thomas Lampe, Emilio Parisotto, Konrad Zolna, Scott E. Reed, Sergio Gómez Colmenarejo, Jon Scholz, Abbas Abdolmaleki, Oliver Groth, Jean-Baptiste Regli, Oleg Sushkov, Thomas Rothörl, José Enrique Chen, Yusuf Aytar, Dave Barker, Joy Ortiz, Martin A. Riedmiller, Jost Tobias Springenberg, Raia Hadsell, Francesco Nori, Nicolas Heess. RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation. Trans. Mach. Learn. Res., 2024, 2024.
- Baturay Saglam, Dogan Can Çiçek, Furkan Burak Mutlu, Suleyman S. Kozat. Mitigating Off-Policy Bias in Actor-Critic Methods with One-Step Q-learning: A Novel Correction Approach. Trans. Mach. Learn. Res., 2024, 2024.