Artigos com autorizações de acesso público - Sameer SinghSaiba mais
44 artigos disponíveis publicamente
Anchors: High-precision model-agnostic explanations
MT Ribeiro, S Singh, C Guestrin
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Autorizações: US Department of Defense
Calibrate before use: Improving few-shot performance of language models
Z Zhao, E Wallace, S Feng, D Klein, S Singh
International Conference on Machine Learning, 12697-12706, 2021
Autorizações: US National Science Foundation, US Department of Defense
Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods
D Slack, S Hilgard, E Jia, S Singh, H Lakkaraju
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 180-186, 2020
Autorizações: US National Science Foundation
Semantically Equivalent Adversarial Rules for Debugging NLP Models
MT Ribeiro, S Singh, C Guestrin
Annual Meeting of the Association for Computational Linguistics (ACL), 2018
Autorizações: US National Science Foundation, US Department of Defense
Entity linking via joint encoding of types, descriptions, and context
N Gupta, S Singh, D Roth
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
Autorizações: US Department of Defense
COVIDLIES: Detecting COVID-19 Misinformation on Social Media
T Hossain, RL Logan IV, A Ugarte, Y Matsubara, S Young, S Singh
Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020, 2020
Autorizações: US National Science Foundation, US Department of Defense
Reliable post hoc explanations: Modeling uncertainty in explainability
D Slack, SA Hilgard, S Singh, H Lakkaraju
Advances in Neural Information Processing Systems 34, 2021
Autorizações: US National Science Foundation
Concealed Data Poisoning Attacks on NLP Models
E Wallace, T Zhao, S Feng, S Singh
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
Autorizações: US National Science Foundation, US Department of Defense
Embedding Multimodal Relational Data for Knowledge Base Completion
P Pezeshkpour, L Chen, S Singh
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018
Autorizações: US National Science Foundation
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models
E Wallace, J Tuyls, J Wang, S Subramanian, M Gardner, S Singh
arXiv preprint arXiv:1909.09251, 2019
Autorizações: US National Science Foundation
Counterfactual explanations can be manipulated
D Slack, A Hilgard, H Lakkaraju, S Singh
Advances in Neural Information Processing Systems 34, 62-75, 2021
Autorizações: US National Science Foundation
Improved consistency regularization for gans
Z Zhao, S Singh, H Lee, Z Zhang, A Odena, H Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 11033 …, 2021
Autorizações: US National Science Foundation
Are red roses red? evaluating consistency of question-answering models
MT Ribeiro, C Guestrin, S Singh
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
Autorizações: US National Science Foundation
Distilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems
Y Matsubara, S Baidya, D Callegaro, M Levorato, S Singh
Proceedings of the 2019 Workshop on Hot Topics in Video Analytics and …, 2019
Autorizações: US Department of Defense
Explain your move: Understanding agent actions using specific and relevant feature attribution
P Gupta, N Puri, S Verma, D Kayastha, S Deshmukh, B Krishnamurthy, ...
International Conference on Learning Representations (ICLR), 2020
Autorizações: US National Science Foundation
From Reinforcement Learning to Deep Reinforcement Learning: An Overview
F Agostinelli, G Hocquet, S Singh, P Baldi
Braverman Readings in Machine Learning. Key Ideas from Inception to Current …, 2018
Autorizações: US National Science Foundation
Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing Systems
Y Matsubara, D Callegaro, S Baidya, M Levorato, S Singh
IEEE Access 8, 212177-212193, 2020
Autorizações: US National Science Foundation, US Department of Defense
Do embodied agents dream of pixelated sheep: Embodied decision making using language guided world modelling
K Nottingham, P Ammanabrolu, A Suhr, Y Choi, H Hajishirzi, S Singh, ...
International Conference on Machine Learning, 26311-26325, 2023
Autorizações: US National Science Foundation
Gradient-based analysis of NLP models is manipulable
J Wang, J Tuyls, E Wallace, S Singh
Findings of the Association for Computational Linguistics: EMNLP 2020, 247-258, 2020
Autorizações: US National Science Foundation
Explaining machine learning models with interactive natural language conversations using TalkToModel
D Slack, S Krishna, H Lakkaraju, S Singh
Nature Machine Intelligence 5 (8), 873-883, 2023
Autorizações: US National Science Foundation
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