Scott Sanner
Orcid: 0000-0001-7984-8394Affiliations:
- University of Toronto, Department of Mechanical and Industrial Engineering, Canada
- Australian National University, Acton, USA
According to our database1,
Scott Sanner
authored at least 178 papers
between 2000 and 2024.
Collaborative distances:
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Bibliography
2024
CR-LT-KGQA: A Knowledge Graph Question Answering Dataset Requiring Commonsense Reasoning and Long-Tail Knowledge.
CoRR, 2024
Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering.
CoRR, 2024
Constraint-Generation Policy Optimization (CGPO): Nonlinear Programming for Policy Optimization in Mixed Discrete-Continuous MDPs.
CoRR, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
ACM Trans. Web, May, 2023
TransCAM: Transformer attention-based CAM refinement for Weakly supervised semantic segmentation.
J. Vis. Commun. Image Represent., April, 2023
Towards understanding and mitigating unintended biases in language model-driven conversational recommendation.
Inf. Process. Manag., 2023
Dagstuhl Reports, 2023
LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations.
CoRR, 2023
Recipe-MPR: A Test Collection for Evaluating Multi-aspect Preference-based Natural Language Retrieval.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
eMARLIN+: Overcoming Partial-Observability Caused by Sensor Limitations and Short Detection Ranges in Traffic Signal Control.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
A Case for Monte Carlo Tree Search in Adaptive Traffic Signal Control: Modifiability, Interpretability and Generalization.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Perimeter Control Using Deep Reinforcement Learning: A Model-Free Approach Towards Homogeneous Flow Rate Optimization.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Self-supervised Contrastive BERT Fine-tuning for Fusion-Based Reviewed-Item Retrieval.
Proceedings of the Advances in Information Retrieval, 2023
A Mixed-Integer Linear Programming Reduction of Disjoint Bilinear Programs via Symbolic Variable Elimination.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2023
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2023
Safe MDP Planning by Learning Temporal Patterns of Undesirable Trajectories and Averting Negative Side Effects.
Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Scalable and Globally Optimal Generalized L₁ K-center Clustering via Constraint Generation in Mixed Integer Linear Programming.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Arbitrary conditional inference in variational autoencoders via fast prior network training.
Mach. Learn., 2022
Neurocomputing, 2022
A Critical Review of Traffic Signal Control and A Novel Unified View of Reinforcement Learning and Model Predictive Control Approaches for Adaptive Traffic Signal Control.
CoRR, 2022
TransCAM: Transformer Attention-based CAM Refinement for Weakly Supervised Semantic Segmentation.
CoRR, 2022
Distributional Contrastive Embedding for Clarification-based Conversational Critiquing.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Mitigating the Filter Bubble While Maintaining Relevance: Targeted Diversification with VAE-based Recommender Systems.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the Research Challenges in Information Science, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming.
Proceedings of the International Conference on Machine Learning, 2022
A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Sample-Efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
A Deep Learning-Based Cyberattack Detection System for Transmission Protective Relays.
IEEE Trans. Smart Grid, 2021
CoRR, 2021
Multi-axis Attentive Prediction for Sparse EventData: An Application to Crime Prediction.
CoRR, 2021
Planning with Learned Binarized Neural Networks Benchmarks for MaxSAT Evaluation 2021.
CoRR, 2021
CoRR, 2021
EDDA: Explanation-driven Data Augmentation to Improve Model and Explanation Alignment.
CoRR, 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Bayesian Preference Elicitation with Keyphrase-Item Coembeddings for Interactive Recommendation.
Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021
Contextual policy transfer in reinforcement learning domains via deep mixtures-of-experts.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Bayesian Critiquing with Keyphrase Activation Vectors for VAE-based Recommender Systems.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Revisiting Random Forests in a Comparative Evaluation of Graph Convolutional Neural Network Variants for Traffic Prediction.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Microscopic Model-Based RL Approaches for Traffic Signal Control Generalize Better than Model-Free RL Approaches.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Knowl. Data Eng., 2020
J. Artif. Intell. Res., 2020
Inf. Syst., 2020
A comparative evaluation of unsupervised deep architectures for intrusion detection in sequential data streams.
Expert Syst. Appl., 2020
CoRR, 2020
Noise Contrastive Estimation for Autoencoding-based One-Class Collaborative Filtering.
CoRR, 2020
ε-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning.
CoRR, 2020
Compact and efficient encodings for planning in factored state and action spaces with learned Binarized Neural Network transition models.
Artif. Intell., 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
A Ranking Optimization Approach to Latent Linear Critiquing for Conversational Recommender Systems.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020
Attentive Autoencoders for Multifaceted Preference Learning in One-class Collaborative Filtering.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
2019
Optimizing Search API Queries for Twitter Topic Classifiers Using a Maximum Set Coverage Approach.
CoRR, 2019
CoRR, 2019
Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Preventing False Tripping Cyberattacks Against Distance Relays: A Deep Learning Approach.
Proceedings of the 2019 IEEE International Conference on Communications, 2019
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
A Novel Regularizer for Temporally Stable Learning with an Application to Twitter Topic Classification.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
Proceedings of the 13th ACM Conference on Recommender Systems, 2019
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2019
Proceedings of the Principles and Practice of Constraint Programming, 2019
Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Measuring and Mitigating the Costs of Attentional Switches in Active Network Monitoring for Cybersecurity.
Hum. Factors, 2018
Noise Contrastive Estimation for Scalable Linear Models for One-Class Collaborative Filtering.
CoRR, 2018
CoRR, 2018
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018
Proceedings of the ACM Recommender Systems Challenge, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2018
2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence.
AI Mag., 2017
Proceedings of the 26th International Conference on World Wide Web, 2017
Proceedings of the Tenth International Symposium on Combinatorial Search, 2017
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017
Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the IEEE Canada International Humanitarian Technology Conference, 2017
Proceedings of the Eleventh International Conference on Web and Social Media, 2017
Analytic Decision Analysis via Symbolic Dynamic Programming for Parameterized Hybrid MDPs.
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017
Knowledge-Based Provisioning of Goods and Services: Towards a Virtual Social Needs Marketplace.
Proceedings of the 2017 AAAI Spring Symposia, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Knowledge-Based Provision of Goods and Services for People with Social Needs: Towards a Virtual Marketplace.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Nonlinear Optimization and Symbolic Dynamic Programming for Parameterized Hybrid Markov Decision Processes.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Can this video be promoted? - Endogenous and exogenous popularity processes in social media.
CoRR, 2016
Real-time dynamic programming for Markov decision processes with imprecise probabilities.
Artif. Intell., 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Proceedings of the 24th International Conference on World Wide Web Companion, 2015
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
Proceedings of the Ninth International Conference on Web and Social Media, 2015
A study of query reformulation for patent prior art search with partial patent applications.
Proceedings of the 15th International Conference on Artificial Intelligence and Law, 2015
Bayesian Model Averaging Naive Bayes (BMA-NB): Averaging over an Exponential Number of Feature Models in Linear Time.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Closed-form Solutions to a Subclass of Continuous Stochastic Games via Symbolic Dynamic Programming.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014
2013
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Proceedings of the IJCAI 2013, 2013
Learning Community-Based Preferences via Dirichlet Process Mixtures of Gaussian Processes.
Proceedings of the IJCAI 2013, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Social affinity filtering: recommendation through fine-grained analysis of user interactions and activities.
Proceedings of the Conference on Online Social Networks, 2013
2012
Proceedings of the 21st World Wide Web Conference 2012, 2012
On the mathematical relationship between expected n-call@k and the relevance vs. diversity trade-off.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
2011
Using mathematical programming to solve Factored Markov Decision Processes with Imprecise Probabilities.
Int. J. Approx. Reason., 2011
Artif. Intell., 2011
Proceedings of the UAI 2011, 2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
On Lifted PageRank, Kalman Filter and Towards Lifted Linear Program Solving.
Proceedings of the Report of the symposium "Lernen, 2011
Multi-Evidence Lifted Message Passing, with Application to PageRank and the Kalman Filter.
Proceedings of the IJCAI 2011, 2011
Diverse retrieval via greedy optimization of expected 1-call@k in a latent subtopic relevance model.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
2010
Proceedings of the Encyclopedia of Machine Learning, 2010
Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010
Proceedings of the Advances in Artificial Intelligence - SBIA 2010, 2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Proceedings of the Advances in Neural Networks, 2010
Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
2009
Proceedings of the 19th International Conference on Automated Planning and Scheduling, 2009
2008
PhD thesis, 2008
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008
2007
Proceedings of the Seventeenth International Conference on Automated Planning and Scheduling, 2007
2006
Proceedings of the UAI '06, 2006
An Ordered Theory Resolution Calculus for Hybrid Reasoning in First-Order Extensions of Description Logic.
Proceedings of the Proceedings, 2006
2005
Proceedings of the UAI '05, 2005
Affine Algebraic Decision Diagrams (AADDs) and their Application to Structured Probabilistic Inference.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005
2002
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Lausanne, Switzerland, September 30, 2002
2000
Achieving Efficient and Cognitively Plausible Learning in Backgammon.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000