Abstract is missing.
- Uses and Abuses of the Cross-Entropy Loss: Case Studies in Modern Deep LearningElliott Gordon-Rodríguez, Gabriel Loaiza-Ganem, Geoff Pleiss, John P. Cunningham. 1-10 [doi]
- Further Analysis of Outlier Detection with Deep Generative ModelsZiyu Wang 0006, Bin Dai, David Wipf, Jun Zhu 0001. 11-20 [doi]
- A case for new neural network smoothness constraintsMihaela Rosca, Theophane Weber, Arthur Gretton, Shakir Mohamed. 21-32 [doi]
- The Curious Case of Stacking Boosted Relational Dependency NetworksSiwen Yan, Devendra Singh Dhami, Sriraam Natarajan. 33-42 [doi]
- Inferential Induction: A Novel Framework for Bayesian Reinforcement LearningEmilio Jorge, Hannes Eriksson, Christos Dimitrakakis, Debabrota Basu, Divya Grover. 43-52 [doi]
- Problems using deep generative models for probabilistic audio source separationMaurice Frank, Maximilian Ilse. 53-59 [doi]
- Self-Tuning Stochastic Optimization with Curvature-Aware Gradient FilteringRicky T. Q. Chen, Dami Choi, Lukas Balles, David Duvenaud, Philipp Hennig. 60-69 [doi]
- Less can be more in contrastive learningJovana Mitrovic, Brian McWilliams, Mélanie Rey. 70-75 [doi]
- Decision-Aware Model Learning for Actor-Critic Methods: When Theory Does Not Meet PracticeÂngelo Gregório Lovatto, Thiago Pereira Bueno, Denis Deratani Mauá, Leliane N. de Barros. 76-86 [doi]
- Understanding Generalization Through VisualizationsW. Ronny Huang, Zeyad Emam, Micah Goldblum, Liam Fowl, Justin K. Terry, Furong Huang, Tom Goldstein. 87-97 [doi]
- A Worrying Analysis of Probabilistic Time-series Models for Sales ForecastingSeungjae Jung, Kyung Min Kim, Hanock Kwak, Young-Jin Park. 98-105 [doi]
- Pitfalls in Machine Learning Research: Reexamining the Development CycleStella Biderman, Walter J. Scheirer. 106-117 [doi]
- End-to-End Differentiable GANs for Text GenerationSachin Kumar, Yulia Tsvetkov. 118-128 [doi]
- A study of quality and diversity in K+1 GANsIlya Kavalerov, Wojciech Czaja, Rama Chellappa. 129-135 [doi]
- Graph Conditional Variational Models: Too Complex for Multiagent Trajectories?Yannick Rudolph, Ulf Brefeld, Uwe Dick. 136-147 [doi]
- Oversampling Tabular Data with Deep Generative Models: Is it worth the effort?Ramiro Daniel Camino, Radu State, Christian A. Hammerschmidt. 148-157 [doi]