Tim Klinger

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 33

Top Topics

Question Answering

Top Venues

Publications

Kinjal Basu, Keerthiram Murugesan, Subhajit Chaudhury, Murray Campbell, Kartik Talamadupula, Tim Klinger
EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning. EACL (1) (2024)
Kinjal Basu, Keerthiram Murugesan, Subhajit Chaudhury, Murray Campbell, Kartik Talamadupula, Tim Klinger
EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning. CoRR (2024)
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 (2024)
Parikshit Ram, Tim Klinger, Alexander G. Gray
What makes Models Compositional? A Theoretical View: With Supplement. CoRR (2024)
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)
Tyler Malloy, Miao Liu, Matthew D. Riemer, Tim Klinger, Gerald Tesauro, Chris R. Sims
Learning in Factored Domains with Information-Constrained Visual Representations. CoRR (2023)
Tim Klinger, Luke Liu, Soham Dan, Maxwell Crouse, Parikshit Ram, Alexander Gray
Compositional Program Generation for Systematic Generalization. CoRR (2023)
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 (2023)
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)
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 (2022)
Tyler Malloy, Chris R. Sims, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro
Capacity-Limited Decentralized Actor-Critic for Multi-Agent Games. CoG (2021)
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)
Cameron Allen, Michael Katz, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro
Efficient Black-Box Planning Using Macro-Actions with Focused Effects. IJCAI (2021)
Tyler Malloy, Tim Klinger, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris R. Sims
Modeling Capacity-Limited Decision Making Using a Variational Autoencoder. CogSci (2021)
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 (2020)
Tim Klinger, Dhaval Adjodah, Vincent Marois, Josh Joseph, Matthew Riemer, Alex 'Sandy' Pentland, Murray Campbell
A Study of Compositional Generalization in Neural Models. CoRR (2020)
Tyler Malloy, Chris R. Sims, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro
Deep RL With Information Constrained Policies: Generalization in Continuous Control. CoRR (2020)
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 (2020)
Matthew Riemer, Tim Klinger, Djallel Bouneffouf, Michele Franceschini
Scalable Recollections for Continual Lifelong Learning. AAAI (2019)
Clemens Rosenbaum, Ignacio Cases, Matthew Riemer, Tim Klinger
Routing Networks and the Challenges of Modular and Compositional Computation. CoRR (2019)
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)
Clemens Rosenbaum, Tim Klinger, Matthew Riemer
Routing Networks: Adaptive Selection of Non-Linear Functions for Multi-Task Learning. ICLR (Poster) (2018)
Andres Campero, Aldo Pareja, Tim Klinger, Josh Tenenbaum, Sebastian Riedel
Logical Rule Induction and Theory Learning Using Neural Theorem Proving. CoRR (2018)
Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerry Tesauro, Bowen Zhou, Jing Jiang
: Reinforced Ranker-Reader for Open-Domain Question Answering. AAAI (2018)
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)
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)
Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerald Tesauro, Bowen Zhou, Jing Jiang
: Reinforced Reader-Ranker for Open-Domain Question Answering. CoRR (2017)
Clemens Rosenbaum, Tian Gao, Tim Klinger
e-QRAQ: A Multi-turn Reasoning Dataset and Simulator with Explanations. CoRR (2017)
Matthew Riemer, Michele Franceschini, Tim Klinger
Generation and Consolidation of Recollections for Efficient Deep Lifelong Learning. CoRR (2017)
Clemens Rosenbaum, Tim Klinger, Matthew Riemer
Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning. CoRR (2017)
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 (2017)
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)
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 (2016)
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)
Tung Thanh Nguyen, Evelyn Duesterwald, Tim Klinger, Peter Santhanam, Tien N. Nguyen
Characterizing defect trends in software support. ICSE Companion (2014)
Tung Thanh Nguyen, Tien N. Nguyen, Evelyn Duesterwald, Tim Klinger, Peter Santhanam
Inferring developer expertise through defect analysis. ICSE (2012)
Tim Klinger, Peri L. Tarr, Patrick Wagstrom, Clay Williams
An enterprise perspective on technical debt. MTD@ICSE (2011)
Clay Williams, Patrick Wagstrom, Kate Ehrlich, Dick Gabriel, Tim Klinger, Jacquelyn Martino, Peri L. Tarr
Supporting enterprise stakeholders in software projects. CHASE (2010)
Alexander Kofman, Avi Yaeli, Tim Klinger, Peri L. Tarr
Roles, rights, and responsibilities: Better governance through decision rights automation. SDG@ICSE (2009)
Avi Yaeli, Tim Klinger
Enacting responsibility assignment in software development environments. SDG@ICSE (2008)
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)
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)
Clay Williams, Matthew Kaplan, Tim Klinger, Amit M. Paradkar
Toward Engineered, Useful Use Cases. J. Object Technol. 4 (6) (2005)
Bonnie K. Ray, Tim Klinger, R. Delmonico, Peter Santhanam
Automated Risk Assessment for Managing Software Projects. SEKE (2004)
Amit M. Paradkar, Tim Klinger
Automated Consistency and Completeness Checking of Testing Models for Interactive Systems. COMPSAC (2004)