| 607 | -- | 611 | Rama Chellappa, Sergios Theodoridis, André van Schaik. Advances in Machine Learning and Deep Neural Networks |
| 612 | -- | 634 | Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, Yoshua Bengio. Toward Causal Representation Learning |
| 635 | -- | 659 | Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard. Optimism in the Face of Adversity: Understanding and Improving Deep Learning Through Adversarial Robustness |
| 660 | -- | 682 | Luana Ruiz, Fernando Gama, Alejandro Ribeiro. Graph Neural Networks: Architectures, Stability, and Transferability |
| 683 | -- | 703 | Cong Fang, Hanze Dong, Tong Zhang 0001. Mathematical Models of Overparameterized Neural Networks |
| 704 | -- | 727 | Randall Balestriero, Richard G. Baraniuk. Mad Max: Affine Spline Insights Into Deep Learning |
| 728 | -- | 755 | Petros Maragos, Vasileios Charisopoulos, Emmanouil Theodosis. Tropical Geometry and Machine Learning |
| 756 | -- | 795 | Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller. A Unifying Review of Deep and Shallow Anomaly Detection |
| 796 | -- | 819 | Jihong Park, Sumudu Samarakoon, Anis Elgabli, Joongheon Kim, Mehdi Bennis, Seong-Lyun Kim, Mérouane Debbah. Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications |
| 820 | -- | 838 | S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers. A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises |
| 839 | -- | 862 | Ming-Yu Liu 0001, Xun Huang, Jiahui Yu, Ting-chun Wang, Arun Mallya. Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications |
| 863 | -- | 890 | Yannis Panagakis, Jean Kossaifi, Grigorios G. Chrysos, James Oldfield 0001, Mihalis A. Nicolaou, Anima Anandkumar, Stefanos Zafeiriou. Tensor Methods in Computer Vision and Deep Learning |
| 891 | -- | 910 | Krishna Somandepalli, Tanaya Guha, Victor R. Martinez, Naveen Kumar 0004, Hartwig Adam, Shrikanth Narayanan. Computational Media Intelligence: Human-Centered Machine Analysis of Media |
| 911 | -- | 934 | Mike Davies, Andreas Wild, Garrick Orchard, Yulia Sandamirskaya, Gabriel A. Fonseca Guerra, Prasad Joshi, Philipp Plank, Sumedh R. Risbud. Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook |
| 935 | -- | 950 | Friedemann Zenke, Emre O. Neftci. Brain-Inspired Learning on Neuromorphic Substrates |