Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Authors: Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela | Published: 2020-05-22 | Updated: 2021-04-12
2020.05.22 2025.04.03
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An Adversarial Approach for Explaining the Predictions of Deep Neural Networks

Authors: Arash Rahnama, Andrew Tseng | Published: 2020-05-20 | Updated: 2020-09-28
2020.05.20 2025.04.03
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Graph Structure Learning for Robust Graph Neural Networks

Authors: Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang | Published: 2020-05-20 | Updated: 2020-06-27
2020.05.20 2025.04.03
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Identifying Statistical Bias in Dataset Replication

Authors: Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Jacob Steinhardt, Aleksander Madry | Published: 2020-05-19 | Updated: 2020-09-02
2020.05.19 2025.04.03
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Continuous LWE

Authors: Joan Bruna, Oded Regev, Min Jae Song, Yi Tang | Published: 2020-05-19 | Updated: 2020-10-24
2020.05.19 2025.04.03
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Scalable Privacy-Preserving Distributed Learning

Authors: David Froelicher, Juan R. Troncoso-Pastoriza, Apostolos Pyrgelis, Sinem Sav, Joao Sa Sousa, Jean-Philippe Bossuat, Jean-Pierre Hubaux | Published: 2020-05-19 | Updated: 2021-07-14
2020.05.19 2025.04.03
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Enhancing Certified Robustness via Smoothed Weighted Ensembling

Authors: Chizhou Liu, Yunzhen Feng, Ranran Wang, Bin Dong | Published: 2020-05-19 | Updated: 2021-02-23
2020.05.19 2025.04.03
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Synthesizing Unrestricted False Positive Adversarial Objects Using Generative Models

Authors: Martin Kotuliak, Sandro E. Schoenborn, Andrei Dan | Published: 2020-05-19
2020.05.19 2025.04.03
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FrameProv: Towards End-To-End Video Provenance

Authors: Mansoor Ahmed-Rengers | Published: 2020-05-19
2020.05.19 2025.04.03
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On Intrinsic Dataset Properties for Adversarial Machine Learning

Authors: Jeffrey Z. Pan, Nicholas Zufelt | Published: 2020-05-19
2020.05.19 2025.04.03
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