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commit files to HF hub
Browse files- papers.csv +2 -2
papers.csv
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@@ -965,7 +965,7 @@ Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere,"Bori
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Meta-learning based Adaptive Stability Certificates in Dynamical Systems,"Amit Jena, Dileep Kalathil, Le Xie",,,,,,,,,
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Nonparametric Extensions of Randomized Response for Private Confidence Sets,"Ian Waudby-Smith, Steven Wu, Aaditya Ramdas",http://arxiv.org/abs/2202.08728,,https://huggingface.co/papers/2202.08728,,,,2202.08728,3,0
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TRAK: Understanding Model Predictions at Scale,"Sung Min (Sam) Park, Kristian Georgiev, Andrew Ilyas, Guillaume Leclerc, Aleksander Madry",,,,,,,,,
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Data Feedback Loops: Model-driven Amplification of Dataset Biases,"Rohan Taori, Tatsunori Hashimoto",http://arxiv.org/abs/2209.03942,https://github.com/rtaori/data_feedback,https://huggingface.co/papers/2209.03942,,,,2209.03942,2,
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Fast Inference from Transformers via Speculative Decoding,"Yaniv Leviathan, Matan Kalman, Yossi Matias",http://arxiv.org/abs/2211.17192,,https://huggingface.co/papers/2211.17192,,,,2211.17192,3,0
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Learning Mixtures of Markov Chains and MDPs,"Chinmaya Kausik, Kevin Tan, Ambuj Tewari",http://arxiv.org/abs/2211.09403,,https://huggingface.co/papers/2211.09403,,,,2211.09403,3,0
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A Watermark for Large Language Models,"John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein",http://arxiv.org/abs/2301.10226,https://github.com/jwkirchenbauer/lm-watermarking,https://huggingface.co/papers/2301.10226,https://huggingface.co/spaces/tomg-group-umd/lm-watermarking,,,2301.10226,6,3
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@@ -1076,7 +1076,7 @@ Random Shuffle Transformer for Image Restoration,"Jie Xiao, Xueyang Fu, Man Zhou
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Active Ranking of Experts Based on their Performances in Many Tasks,"El Mehdi Saad, Nicolas Verzelen, Alexandra Carpentier",http://arxiv.org/abs/2306.02628,,https://huggingface.co/papers/2306.02628,,,,2306.02628,3,0
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Quantifying the Variability Collapse of Neural Networks,"Jing Xu, Haoxiong Liu",http://arxiv.org/abs/2306.03440,,https://huggingface.co/papers/2306.03440,,,,2306.03440,2,0
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Personalized Subgraph Federated Learning,"Jinheon Baek, Wonyong Jeong, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang",http://arxiv.org/abs/2206.10206,https://github.com/JinheonBaek/FED-PUB,https://huggingface.co/papers/2206.10206,,,,2206.10206,5,0
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Whose Opinions Do Language Models Reflect?,"Shibani Santurkar, Cinoo Lee, Esin Durmus, Faisal Ladhak, Tatsunori Hashimoto, Percy Liang",http://arxiv.org/abs/2303.17548,https://github.com/tatsu-lab/opinions_qa,https://huggingface.co/papers/2303.17548,,,,2303.17548,6,
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Flexible Model Aggregation for Quantile Regression,"Rasool Fakoor, Taesup Kim, Jonas Mueller, Alexander Smola, Ryan Tibshirani",http://arxiv.org/abs/2103.00083,,https://huggingface.co/papers/2103.00083,,,,2103.00083,5,1
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Faster Rates of Convergence to Stationary Points in Differentially Private Optimization,"Raman Arora, Raef Bassily, Tomás González, Cristobal Guzman, Michael Menart, Enayat Ullah",http://arxiv.org/abs/2206.00846,,https://huggingface.co/papers/2206.00846,,,,2206.00846,6,0
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From Adaptive Query Release to Machine Unlearning,"Enayat Ullah, Raman Arora",,,,,,,,,
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Meta-learning based Adaptive Stability Certificates in Dynamical Systems,"Amit Jena, Dileep Kalathil, Le Xie",,,,,,,,,
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966 |
Nonparametric Extensions of Randomized Response for Private Confidence Sets,"Ian Waudby-Smith, Steven Wu, Aaditya Ramdas",http://arxiv.org/abs/2202.08728,,https://huggingface.co/papers/2202.08728,,,,2202.08728,3,0
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967 |
TRAK: Understanding Model Predictions at Scale,"Sung Min (Sam) Park, Kristian Georgiev, Andrew Ilyas, Guillaume Leclerc, Aleksander Madry",,,,,,,,,
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968 |
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Data Feedback Loops: Model-driven Amplification of Dataset Biases,"Rohan Taori, Tatsunori Hashimoto",http://arxiv.org/abs/2209.03942,https://github.com/rtaori/data_feedback,https://huggingface.co/papers/2209.03942,,,,2209.03942,2,2
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969 |
Fast Inference from Transformers via Speculative Decoding,"Yaniv Leviathan, Matan Kalman, Yossi Matias",http://arxiv.org/abs/2211.17192,,https://huggingface.co/papers/2211.17192,,,,2211.17192,3,0
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970 |
Learning Mixtures of Markov Chains and MDPs,"Chinmaya Kausik, Kevin Tan, Ambuj Tewari",http://arxiv.org/abs/2211.09403,,https://huggingface.co/papers/2211.09403,,,,2211.09403,3,0
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971 |
A Watermark for Large Language Models,"John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein",http://arxiv.org/abs/2301.10226,https://github.com/jwkirchenbauer/lm-watermarking,https://huggingface.co/papers/2301.10226,https://huggingface.co/spaces/tomg-group-umd/lm-watermarking,,,2301.10226,6,3
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1076 |
Active Ranking of Experts Based on their Performances in Many Tasks,"El Mehdi Saad, Nicolas Verzelen, Alexandra Carpentier",http://arxiv.org/abs/2306.02628,,https://huggingface.co/papers/2306.02628,,,,2306.02628,3,0
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1077 |
Quantifying the Variability Collapse of Neural Networks,"Jing Xu, Haoxiong Liu",http://arxiv.org/abs/2306.03440,,https://huggingface.co/papers/2306.03440,,,,2306.03440,2,0
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1078 |
Personalized Subgraph Federated Learning,"Jinheon Baek, Wonyong Jeong, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang",http://arxiv.org/abs/2206.10206,https://github.com/JinheonBaek/FED-PUB,https://huggingface.co/papers/2206.10206,,,,2206.10206,5,0
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1079 |
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Whose Opinions Do Language Models Reflect?,"Shibani Santurkar, Cinoo Lee, Esin Durmus, Faisal Ladhak, Tatsunori Hashimoto, Percy Liang",http://arxiv.org/abs/2303.17548,https://github.com/tatsu-lab/opinions_qa,https://huggingface.co/papers/2303.17548,,,,2303.17548,6,1
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1080 |
Flexible Model Aggregation for Quantile Regression,"Rasool Fakoor, Taesup Kim, Jonas Mueller, Alexander Smola, Ryan Tibshirani",http://arxiv.org/abs/2103.00083,,https://huggingface.co/papers/2103.00083,,,,2103.00083,5,1
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1081 |
Faster Rates of Convergence to Stationary Points in Differentially Private Optimization,"Raman Arora, Raef Bassily, Tomás González, Cristobal Guzman, Michael Menart, Enayat Ullah",http://arxiv.org/abs/2206.00846,,https://huggingface.co/papers/2206.00846,,,,2206.00846,6,0
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1082 |
From Adaptive Query Release to Machine Unlearning,"Enayat Ullah, Raman Arora",,,,,,,,,
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