Klinger, Tim

15 publications

AAAI 2025 Neural Reasoning Networks: Efficient Interpretable Neural Networks with Automatic Textual Explanations Stephen Carrow, Kyle Erwin, Olga Vilenskaia, Parikshit Ram, Tim Klinger, Naweed Khan, Ndivhuwo Makondo, Alexander G. Gray

NeurIPS 2025 Transformers Learn Faster with Semantic Focus Parikshit Ram, Kenneth L. Clarkson, Tim Klinger, Shashanka Ubaru, Alexander G. Gray

IJCAI 2024 What Makes Models Compositional? a Theoretical View Parikshit Ram, Tim Klinger, Alexander G. Gray

NeurIPSW 2023 Hierarchical Reinforcement Learning with AI Planning Models Junkyu Lee, Michael Katz, Don Joven Agravante, Miao Liu, Geraud Nangue Tasse, Tim Klinger, Shirin Sohrabi

NeurIPS 2022 Compositional Generalization Through Abstract Representations in Human and Artificial Neural Networks Takuya Ito, Tim Klinger, Doug Schultz, John Murray, Michael Cole, Mattia Rigotti

NeurIPSW 2022 Learning in Factored Domains with Information-Constrained Visual Representations Tailia Malloy, Chris R Sims, Tim Klinger, Matthew Riemer, Miao Liu, Gerald Tesauro

IJCAI 2021 Efficient Black-Box Planning Using Macro-Actions with Focused Effects Cameron Allen, Michael Katz, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro

AAAI 2021 RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract) Tyler Malloy, Tim Klinger, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris R. Sims

AAAI 2019 Scalable Recollections for Continual Lifelong Learning Matthew Riemer, Tim Klinger, Djallel Bouneffouf, Michele Franceschini

ICLR 2018 Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell

AAAI 2018 R3: Reinforced Ranker-Reader for Open-Domain Question Answering Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerry Tesauro, Bowen Zhou, Jing Jiang

ICLR 2018 Routing Networks: Adaptive Selection of Non-Linear Functions for Multi-Task Learning Clemens Rosenbaum, Tim Klinger, Matthew Riemer

ICLR 2017 Learning to Query, Reason, and Answer Questions on Ambiguous Texts Xiaoxiao Guo, Tim Klinger, Clemens Rosenbaum, Joseph P. Bigus, Murray Campbell, Ban Kawas, Kartik Talamadupula, Gerry Tesauro, Satinder Singh

AAAI 2017 Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation Iulian Vlad Serban, Tim Klinger, Gerald Tesauro, Kartik Talamadupula, Bowen Zhou, Yoshua Bengio, Aaron C. Courville

AAAI 2015 Towards Cognitive Automation of Data Science Alain Biem, Maria Butrico, Mark Feblowitz, Tim Klinger, Yuri Malitsky, Kenney Ng, Adam Perer, Chandra Reddy, Anton Riabov, Horst Samulowitz, Daby M. Sow, Gerald Tesauro, Deepak S. Turaga