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Papers

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2023 NIPS
Robust Learning with Progressive Data Expansion Against Spurious Correlation
Yihe Deng, Yu Yang, Baharan Mirzasoleiman et al.
2023 NIPS
Robust Lipschitz Bandits to Adversarial Corruptions
Yue Kang, Cho-Jui Hsieh, Thomas Chun Man Lee
2023 NIPS
Robust low-rank training via approximate orthonormal constraints
Dayana Savostianova, Emanuele Zangrando, Gianluca Ceruti et al.
2023 NIPS
Robust Mean Estimation Without Moments for Symmetric Distributions
Gleb Novikov, David Steurer, Stefan Tiegel
2023 NIPS
Rotating Features for Object Discovery
Sindy Löwe, Phillip Lippe, Francesco Locatello et al.
2023 NIPS
rPPG-Toolbox: Deep Remote PPG Toolbox
Xin Liu, Girish Narayanswamy, Akshay Paruchuri et al.
2023 NIPS
RRHF: Rank Responses to Align Language Models with Human Feedback
Hongyi Yuan, Zheng Yuan, Chuanqi Tan et al.
2023 NIPS
RVD: A Handheld Device-Based Fundus Video Dataset for Retinal Vessel Segmentation
MD WAHIDUZZAMAN KHAN, Hongwei Sheng, Hu Zhang et al.
2023 NIPS
2023 NIPS
SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations
Youngsoo Jang, Geon-Hyeong Kim, Jongmin Lee et al.
2023 NIPS
2023 NIPS
Safety Gymnasium: A Unified Safe Reinforcement Learning Benchmark
Jiaming Ji, Borong Zhang, Jiayi Zhou et al.
2023 NIPS
Safety Verification of Decision-Tree Policies in Continuous Time
Christian Schilling, Anna Lukina, Emir Demirović et al.
2023 NIPS
SALSA VERDE: a machine learning attack on LWE with sparse small secrets
Cathy Li, Emily Wenger, Zeyuan Allen-Zhu et al.
2023 NIPS