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Journal Articles
- 2005
[j1]Clay Williams, Matthew Kaplan, Tim Klinger, Amit M. Paradkar:
Toward Engineered, Useful Use Cases. J. Object Technol. 4(6): 45-57 (2005)
Conference and Workshop Papers
- 2024
- [c26]Kinjal Basu, Keerthiram Murugesan, Subhajit Chaudhury, Murray Campbell, Kartik Talamadupula, Tim Klinger:
EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning. EACL (1) 2024: 394-405 - [c25]Parikshit Ram, Tim Klinger, Alexander G. Gray:
What Makes Models Compositional? A Theoretical View. IJCAI 2024: 4824-4832 - 2023
- [c24]Maxwell Crouse, Pavan Kapanipathi, Subhajit Chaudhury, Tahira Naseem, Ramón Fernandez Astudillo, Achille Fokoue, Tim Klinger:
Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing. ACL (1) 2023: 8434-8448 - 2022
- [c23]Takuya Ito, Tim Klinger, Douglas Schultz, John Murray, Michael W. Cole, Mattia Rigotti:
Compositional generalization through abstract representations in human and artificial neural networks. NeurIPS 2022 - 2021
- [c22]Tyler Malloy, Tim Klinger, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris R. Sims:
RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract). AAAI 2021: 15841-15842 - [c21]Tyler Malloy, Chris R. Sims
, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro:
Capacity-Limited Decentralized Actor-Critic for Multi-Agent Games. CoG 2021: 1-8 - [c20]Tyler Malloy, Tim Klinger, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris R. Sims:
Modeling Capacity-Limited Decision Making Using a Variational Autoencoder. CogSci 2021 - [c19]Cameron Allen, Michael Katz, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro:
Efficient Black-Box Planning Using Macro-Actions with Focused Effects. IJCAI 2021: 4024-4031 - 2019
- [c18]Matthew Riemer, Tim Klinger, Djallel Bouneffouf, Michele Franceschini:
Scalable Recollections for Continual Lifelong Learning. AAAI 2019: 1352-1359 - [c17]Ignacio Cases, Clemens Rosenbaum, Matthew Riemer, Atticus Geiger, Tim Klinger, Alex Tamkin, Olivia Li, Sandhini Agarwal, Joshua D. Greene, Dan Jurafsky, Christopher Potts, Lauri Karttunen:
Recursive Routing Networks: Learning to Compose Modules for Language Understanding. NAACL-HLT (1) 2019: 3631-3648 - 2018
- [c16]Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerry Tesauro, Bowen Zhou, Jing Jiang:
R3: Reinforced Ranker-Reader for Open-Domain Question Answering. AAAI 2018: 5981-5988 - [c15]Clemens Rosenbaum, Tim Klinger, Matthew Riemer:
Routing Networks: Adaptive Selection of Non-Linear Functions for Multi-Task Learning. ICLR (Poster) 2018 - [c14]Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell:
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. ICLR (Poster) 2018 - 2017
- [c13]Iulian Vlad Serban, Tim Klinger, Gerald Tesauro, Kartik Talamadupula, Bowen Zhou, Yoshua Bengio, Aaron C. Courville:
Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation. AAAI 2017: 3288-3294 - [c12]Xiaoxiao Guo, Tim Klinger, Clemens Rosenbaum, Joseph P. Bigus, Murray Campbell, Ban Kawas, Kartik Talamadupula, Gerry Tesauro, Satinder Singh:
Learning to Query, Reason, and Answer Questions On Ambiguous Texts. ICLR (Poster) 2017 - 2015
- [c11]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:
Towards Cognitive Automation of Data Science. AAAI 2015: 4268-4269 - 2014
- [c10]Tung Thanh Nguyen, Evelyn Duesterwald, Tim Klinger, Peter Santhanam, Tien N. Nguyen:
Characterizing defect trends in software support. ICSE Companion 2014: 508-511 - 2012
- [c9]Tung Thanh Nguyen, Tien N. Nguyen, Evelyn Duesterwald, Tim Klinger, Peter Santhanam:
Inferring developer expertise through defect analysis. ICSE 2012: 1297-1300 - 2011
- [c8]Tim Klinger, Peri L. Tarr, Patrick Wagstrom, Clay Williams:
An enterprise perspective on technical debt. MTD@ICSE 2011: 35-38 - 2010
- [c7]Clay Williams, Patrick Wagstrom, Kate Ehrlich, Dick Gabriel, Tim Klinger, Jacquelyn Martino, Peri L. Tarr:
Supporting enterprise stakeholders in software projects. CHASE 2010: 109-112 - 2009
- [c6]Alexander Kofman, Avi Yaeli, Tim Klinger, Peri L. Tarr:
Roles, rights, and responsibilities: Better governance through decision rights automation. SDG@ICSE 2009: 9-14 - 2008
- [c5]Avi Yaeli, Tim Klinger:
Enacting responsibility assignment in software development environments. SDG@ICSE 2008: 7-10 - [c4]Matthew Kaplan, Tim Klinger, Amit M. Paradkar, Avik Sinha, Clay Williams, Cemal Yilmaz:
Less is More: A Minimalistic Approach to UML Model-Based Conformance Test Generation. ICST 2008: 82-91 - 2006
- [c3]Leiguang Gong, Tim Klinger, Paul Matchen, Peri L. Tarr, Rosario Uceda-Sosa, Annie T. T. Ying, Jian Xu, Xin Zhou:
Integrated solution engineering. OOPSLA Companion 2006: 726-727 - 2004
- [c2]Amit M. Paradkar, Tim Klinger:
Automated Consistency and Completeness Checking of Testing Models for Interactive Systems. COMPSAC 2004: 342-348 - [c1]Bonnie K. Ray, Tim Klinger, R. Delmonico, Peter Santhanam:
Automated Risk Assessment for Managing Software Projects. SEKE 2004: 372-377
Informal and Other Publications
- 2024
- [i19]Kinjal Basu, Keerthiram Murugesan, Subhajit Chaudhury, Murray Campbell, Kartik Talamadupula, Tim Klinger:
EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning. CoRR abs/2403.10692 (2024) - [i18]Parikshit Ram, Tim Klinger, Alexander G. Gray:
What makes Models Compositional? A Theoretical View: With Supplement. CoRR abs/2405.02350 (2024) - [i17]Takuya Ito, Luca Cocchi, Tim Klinger, Parikshit Ram, Murray Campbell, Luke J. Hearne:
The Importance of Positional Encoding Initialization in Transformers for Relational Reasoning. CoRR abs/2406.08272 (2024) - 2023
- [i16]Tyler Malloy, Miao Liu, Matthew D. Riemer, Tim Klinger, Gerald Tesauro, Chris R. Sims:
Learning in Factored Domains with Information-Constrained Visual Representations. CoRR abs/2303.17508 (2023) - [i15]Maxwell Crouse, Pavan Kapanipathi, Subhajit Chaudhury, Tahira Naseem, Ramón Fernandez Astudillo, Achille Fokoue, Tim Klinger:
Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing. CoRR abs/2305.04346 (2023) - [i14]Tim Klinger, Luke Liu, Soham Dan, Maxwell Crouse, Parikshit Ram, Alexander Gray:
Compositional Program Generation for Systematic Generalization. CoRR abs/2309.16467 (2023) - 2022
- [i13]Junkyu Lee, Michael Katz, Don Joven Agravante, Miao Liu, Tim Klinger, Murray Campbell, Shirin Sohrabi, Gerald Tesauro:
AI Planning Annotation for Sample Efficient Reinforcement Learning. CoRR abs/2203.00669 (2022) - 2020
- [i12]Cameron Allen, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro:
Finding Macro-Actions with Disentangled Effects for Efficient Planning with the Goal-Count Heuristic. CoRR abs/2004.13242 (2020) - [i11]Tim Klinger, Dhaval Adjodah, Vincent Marois, Josh Joseph, Matthew Riemer, Alex 'Sandy' Pentland, Murray Campbell:
A Study of Compositional Generalization in Neural Models. CoRR abs/2006.09437 (2020) - [i10]Tyler Malloy, Chris R. Sims, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro:
Deep RL With Information Constrained Policies: Generalization in Continuous Control. CoRR abs/2010.04646 (2020) - [i9]Tyler Malloy, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro, Chris R. Sims:
Consolidation via Policy Information Regularization in Deep RL for Multi-Agent Games. CoRR abs/2011.11517 (2020) - 2019
- [i8]Clemens Rosenbaum, Ignacio Cases, Matthew Riemer, Tim Klinger:
Routing Networks and the Challenges of Modular and Compositional Computation. CoRR abs/1904.12774 (2019) - 2018
- [i7]Andres Campero, Aldo Pareja, Tim Klinger, Josh Tenenbaum, Sebastian Riedel:
Logical Rule Induction and Theory Learning Using Neural Theorem Proving. CoRR abs/1809.02193 (2018) - 2017
- [i6]Clemens Rosenbaum, Tian Gao, Tim Klinger:
e-QRAQ: A Multi-turn Reasoning Dataset and Simulator with Explanations. CoRR abs/1708.01776 (2017) - [i5]Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerald Tesauro, Bowen Zhou, Jing Jiang:
R3: Reinforced Reader-Ranker for Open-Domain Question Answering. CoRR abs/1709.00023 (2017) - [i4]Clemens Rosenbaum, Tim Klinger, Matthew Riemer:
Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning. CoRR abs/1711.01239 (2017) - [i3]Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell:
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. CoRR abs/1711.05116 (2017) - [i2]Matthew Riemer, Michele Franceschini, Tim Klinger:
Generation and Consolidation of Recollections for Efficient Deep Lifelong Learning. CoRR abs/1711.06761 (2017) - 2016
- [i1]Iulian Vlad Serban, Tim Klinger, Gerald Tesauro, Kartik Talamadupula, Bowen Zhou, Yoshua Bengio, Aaron C. Courville:
Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation. CoRR abs/1606.00776 (2016)
Coauthor Index
aka: Matthew D. Riemer
aka: Gerry Tesauro
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