Tim Klinger

52 papers A* 10A 1B 3C 2Journal 24Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Beyond Sliding Windows: Learning to Manage Memory in Non-Markovian Environments.
CoRR
Geraud Nangue Tasse, Matthew Riemer, Benjamin Rosman, Tim Klinger
2025 A* conf
Neural Reasoning Networks: Efficient Interpretable Neural Networks with Automatic Textual Explanations.
AAAI
Stephen Carrow, Kyle Erwin, Olga Vilenskaia, Parikshit Ram, Tim Klinger, Naweed Khan, Ndivhuwo Makondo, Alexander G. Gray
2025 J jnl
Transformers Learn Faster with Semantic Focus.
CoRR
Parikshit Ram, Kenneth L. Clarkson, Tim Klinger, Shashanka Ubaru, Alexander G. Gray
2024 — conf
EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning.
EACL (1)
Kinjal Basu, Keerthiram Murugesan, Subhajit Chaudhury, Murray Campbell, Kartik Talamadupula, Tim Klinger
2024 J jnl
EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning.
CoRR
Kinjal Basu, Keerthiram Murugesan, Subhajit Chaudhury, Murray Campbell, Kartik Talamadupula, Tim Klinger
2024 J jnl
Neural Reasoning Networks: Efficient Interpretable Neural Networks With Automatic Textual Explanations.
CoRR
Stephen Carrow, Kyle Harper Erwin, Olga Vilenskaia, Parikshit Ram, Tim Klinger, Naweed Aghmad Khan, Ndivhuwo Makondo, Alexander Gray
2024 J jnl
Quantifying artificial intelligence through algebraic generalization.
CoRR
Takuya Ito, Murray Campbell, Lior Horesh, Tim Klinger, Parikshit Ram
2024 J jnl
The Importance of Positional Encoding Initialization in Transformers for Relational Reasoning.
CoRR
Takuya Ito, Luca Cocchi, Tim Klinger, Parikshit Ram, Murray Campbell, Luke J. Hearne
2024 A* conf
What Makes Models Compositional? A Theoretical View.
IJCAI
Parikshit Ram, Tim Klinger, Alexander G. Gray
2024 — conf
What makes Models Compositional? A Neuro-Symbolic Theoretical View (Extended Abstract).
LNSAI@IJCAI
Parikshit Ram, Tim Klinger, Alexander G. Gray
2024 J jnl
What makes Models Compositional? A Theoretical View: With Supplement.
CoRR
Parikshit Ram, Tim Klinger, Alexander G. Gray
2023 J jnl
Compositional Program Generation for Systematic Generalization.
CoRR
Tim Klinger, Luke Liu, Soham Dan, Maxwell Crouse, Parikshit Ram, Alexander Gray
2023 — conf
Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing.
ACL (1)
Maxwell Crouse, Pavan Kapanipathi, Subhajit Chaudhury, Tahira Naseem, Ramón Fernandez Astudillo, Achille Fokoue, Tim Klinger
2023 J jnl
Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing.
CoRR
Maxwell Crouse, Pavan Kapanipathi, Subhajit Chaudhury, Tahira Naseem, Ramón Fernandez Astudillo, Achille Fokoue, Tim Klinger
2023 J jnl
Learning in Factored Domains with Information-Constrained Visual Representations.
CoRR
Tyler Malloy, Miao Liu, Matthew D. Riemer, Tim Klinger, Gerald Tesauro, Chris R. Sims
2022 J jnl
AI Planning Annotation for Sample Efficient Reinforcement Learning.
CoRR
Junkyu Lee, Michael Katz, Don Joven Agravante, Miao Liu, Tim Klinger, Murray Campbell, Shirin Sohrabi, Gerald Tesauro
2022 A* conf
Compositional generalization through abstract representations in human and artificial neural networks.
NeurIPS
Takuya Ito, Tim Klinger, Douglas Schultz, John Murray, Michael W. Cole, Mattia Rigotti
2021 C conf
Capacity-Limited Decentralized Actor-Critic for Multi-Agent Games.
CoG
Tyler Malloy, Chris R. Sims, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro
2021 A* conf
Efficient Black-Box Planning Using Macro-Actions with Focused Effects.
IJCAI
Cameron Allen, Michael Katz, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro
2021 B conf
Modeling Capacity-Limited Decision Making Using a Variational Autoencoder.
CogSci
Tyler Malloy, Tim Klinger, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris R. Sims
2021 A* conf
RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract).
AAAI
Tyler Malloy, Tim Klinger, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris R. Sims
2020 J jnl
A Study of Compositional Generalization in Neural Models.
CoRR
Tim Klinger, Dhaval Adjodah, Vincent Marois, Josh Joseph, Matthew Riemer, Alex 'Sandy' Pentland, Murray Campbell
2020 J jnl
Consolidation via Policy Information Regularization in Deep RL for Multi-Agent Games.
CoRR
Tyler Malloy, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro, Chris R. Sims
2020 J jnl
Deep RL With Information Constrained Policies: Generalization in Continuous Control.
CoRR
Tyler Malloy, Chris R. Sims, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro
2020 J jnl
Finding Macro-Actions with Disentangled Effects for Efficient Planning with the Goal-Count Heuristic.
CoRR
Cameron Allen, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro
2019 — conf
Recursive Routing Networks: Learning to Compose Modules for Language Understanding.
NAACL-HLT (1)
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
2019 J jnl
Routing Networks and the Challenges of Modular and Compositional Computation.
CoRR
Clemens Rosenbaum, Ignacio Cases, Matthew Riemer, Tim Klinger
2019 A* conf
Scalable Recollections for Continual Lifelong Learning.
AAAI
Matthew Riemer, Tim Klinger, Djallel Bouneffouf, Michele Franceschini
2018 — conf
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering.
ICLR (Poster)
Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell
2018 J jnl
Logical Rule Induction and Theory Learning Using Neural Theorem Proving.
CoRR
Andres Campero, Aldo Pareja, Tim Klinger, Josh Tenenbaum, Sebastian Riedel
2018 A* conf
R
AAAI
Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerry Tesauro, Bowen Zhou, Jing Jiang
2018 — conf
Routing Networks: Adaptive Selection of Non-Linear Functions for Multi-Task Learning.
ICLR (Poster)
Clemens Rosenbaum, Tim Klinger, Matthew Riemer
2017 J jnl
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering.
CoRR
Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell
2017 J jnl
Generation and Consolidation of Recollections for Efficient Deep Lifelong Learning.
CoRR
Matthew Riemer, Michele Franceschini, Tim Klinger
2017 — conf
Learning to Query, Reason, and Answer Questions On Ambiguous Texts.
ICLR (Poster)
Xiaoxiao Guo, Tim Klinger, Clemens Rosenbaum, Joseph P. Bigus, Murray Campbell, Ban Kawas, Kartik Talamadupula, Gerry Tesauro, Satinder Singh
2017 A* conf
Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation.
AAAI
Iulian Vlad Serban, Tim Klinger, Gerald Tesauro, Kartik Talamadupula, Bowen Zhou, Yoshua Bengio, Aaron C. Courville
2017 J jnl
R
CoRR
Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerald Tesauro, Bowen Zhou, Jing Jiang
2017 J jnl
Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning.
CoRR
Clemens Rosenbaum, Tim Klinger, Matthew Riemer
2017 J jnl
e-QRAQ: A Multi-turn Reasoning Dataset and Simulator with Explanations.
CoRR
Clemens Rosenbaum, Tian Gao, Tim Klinger
2016 J jnl
Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation.
CoRR
Iulian Vlad Serban, Tim Klinger, Gerald Tesauro, Kartik Talamadupula, Bowen Zhou, Yoshua Bengio, Aaron C. Courville
2015 A* conf
Towards Cognitive Automation of Data Science.
AAAI
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
2014 — conf
Characterizing defect trends in software support.
ICSE Companion
Tung Thanh Nguyen, Evelyn Duesterwald, Tim Klinger, Peter Santhanam, Tien N. Nguyen
2012 A* conf
Inferring developer expertise through defect analysis.
ICSE
Tung Thanh Nguyen, Tien N. Nguyen, Evelyn Duesterwald, Tim Klinger, Peter Santhanam
2011 — conf
An enterprise perspective on technical debt.
MTD@ICSE
Tim Klinger, Peri L. Tarr, Patrick Wagstrom, Clay Williams
2010 B conf
Supporting enterprise stakeholders in software projects.
CHASE
Clay Williams, Patrick Wagstrom, Kate Ehrlich, Dick Gabriel, Tim Klinger, Jacquelyn Martino, Peri L. Tarr
2009 — conf
Roles, rights, and responsibilities: Better governance through decision rights automation.
SDG@ICSE
Alexander Kofman, Avi Yaeli, Tim Klinger, Peri L. Tarr
2008 — conf
Enacting responsibility assignment in software development environments.
SDG@ICSE
Avi Yaeli, Tim Klinger
2008 A conf
Less is More: A Minimalistic Approach to UML Model-Based Conformance Test Generation.
ICST
Matthew Kaplan, Tim Klinger, Amit M. Paradkar, Avik Sinha, Clay Williams, Cemal Yilmaz
2006 — conf
Integrated solution engineering.
OOPSLA Companion
Leiguang Gong, Tim Klinger, Paul Matchen, Peri L. Tarr, Rosario Uceda-Sosa, Annie T. T. Ying, Jian Xu, Xin Zhou
2005 J jnl
Toward Engineered, Useful Use Cases.
J. Object Technol.
Clay Williams, Matthew Kaplan, Tim Klinger, Amit M. Paradkar
2004 B conf
Automated Consistency and Completeness Checking of Testing Models for Interactive Systems.
COMPSAC
Amit M. Paradkar, Tim Klinger
2004 C conf
Automated Risk Assessment for Managing Software Projects.
SEKE
Bonnie K. Ray, Tim Klinger, R. Delmonico, Peter Santhanam