| Esc: Exploration with soft commonsense constraints for zero-shot object navigation K Zhou, K Zheng, C Pryor, Y Shen, H Jin, L Getoor, XE Wang International Conference on Machine Learning, 42829-42842, 2023 | 59 | 2023 |
| Neupsl: Neural probabilistic soft logic C Pryor, C Dickens, E Augustine, A Albalak, W Wang, L Getoor arXiv preprint arXiv:2205.14268, 2022 | 29 | 2022 |
| FETA: A benchmark for few-sample task transfer in open-domain dialogue A Albalak, YL Tuan, P Jandaghi, C Pryor, L Yoffe, D Ramachandran, ... arXiv preprint arXiv:2205.06262, 2022 | 16 | 2022 |
| Visual sudoku puzzle classification: A suite of collective neuro-symbolic tasks E Augustine, C Pryor, C Dickens, J Pujara, W Wang, L Getoor International Workshop on Neural-Symbolic Learning and Reasoning (NeSy), 2022 | 14 | 2022 |
| Local explanation of dialogue response generation YL Tuan, C Pryor, W Chen, L Getoor, WY Wang Advances in Neural Information Processing Systems 34, 404-416, 2021 | 11 | 2021 |
| Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning C Dickens, C Gao, C Pryor, S Wright, L Getoor arXiv preprint arXiv:2401.09651, 2024 | 6 | 2024 |
| CausalDialogue: Modeling Utterance-level Causality in Conversations YL Tuan, A Albalak, W Xu, M Saxon, C Pryor, L Getoor, WY Wang arXiv preprint arXiv:2212.10515, 2022 | 3 | 2022 |
| Modeling Patterns for Neural-Symbolic Reasoning Using Energy-based Models C Dickens, C Pryor, L Getoor Proceedings of the AAAI Symposium Series 3 (1), 90-99, 2024 | 2 | 2024 |
| Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic C Pryor, Q Yuan, J Liu, M Kazemi, D Ramachandran, T Bedrax-Weiss, ... arXiv preprint arXiv:2403.17853, 2024 | 2 | 2024 |
| Efficient learning losses for deep hinge-loss markov random fields C Dickens, C Pryor, E Augustine, A Abalak, L Getoor Workshop on Tractable Probabilistic Modeling (TPM), 2022 | 2 | 2022 |
| Emotion recognition in conversation using probabilistic soft logic E Augustine, P Jandaghi, A Albalak, C Pryor, C Dickens, W Wang, ... arXiv preprint arXiv:2207.07238, 2022 | 2 | 2022 |
| A mathematical framework, a taxonomy of modeling paradigms, and a suite of learning techniques for neural-symbolic systems C Dickens, C Pryor, C Gao, A Albalak, E Augustine, W Wang, S Wright, ... arXiv preprint arXiv:2407.09693, 2024 | 1 | 2024 |
| Deep Neuro-Symbolic Weight Learning in Neural Probabilistic Soft Logic C Pryor, C Dickens, L Getoor ICML Workshop on Knowledge and Logical Reasoning in the Era of Data-Driven …, 2023 | 1 | 2023 |
| Context-aware online collective inference for templated graphical models C Dickens, C Pryor, E Augustine, A Miller, L Getoor International Conference on Machine Learning, 2707-2716, 2021 | 1 | 2021 |
| Negative Weights in Hinge-Loss Markov Random Fields. C Dickens, E Augustine Workshop on Tractable Probabilistic Modeling (TPM), 2021 | | 2021 |
