iclr26/32mrjmaeMP/reference_chunks.jsonl

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{"paper_id": "32mrjmaeMP", "chunk_id": "32mrjmaeMP:0093", "section": "REFERENCES", "page_start": 11, "page_end": 11, "type": "Text", "text": "Shun-Ichi Amari. Natural gradient works efficiently in learning. Neural Computation , 2000.", "source": "marker_v2", "marker_block_id": "/page/10/Text/10"}
{"paper_id": "32mrjmaeMP", "chunk_id": "32mrjmaeMP:0094", "section": "REFERENCES", "page_start": 11, "page_end": 11, "type": "Text", "text": "Sanjeev Arora, Simon S Du, Wei Hu, Zhiyuan Li, Russ R Salakhutdinov, and Ruosong Wang. On exact computation with an infinitely wide neural net. Advances in Neural Information Processing Systems , 2019.", "source": "marker_v2", "marker_block_id": "/page/10/Text/11"}
{"paper_id": "32mrjmaeMP", "chunk_id": "32mrjmaeMP:0095", "section": "REFERENCES", "page_start": 11, "page_end": 11, "type": "Text", "text": "Sanjeev Arora, Simon S Du, Zhiyuan Li, Ruslan Salakhutdinov, Ruosong Wang, and Dingli Yu. Harnessing the power of infinitely wide deep nets on small-data tasks. International Conference on Learning Representations , 2020.", "source": "marker_v2", "marker_block_id": "/page/10/Text/12"}
{"paper_id": "32mrjmaeMP", "chunk_id": "32mrjmaeMP:0096", "section": "REFERENCES", "page_start": 11, "page_end": 11, "type": "Text", "text": "Keith Bonawitz, Vladimir Ivanov, Ben Kreuter, Antonio Marcedone, H Brendan McMahan, Sarvar Patel, Daniel Ramage, Aaron Segal, and Karn Seth. Practical secure aggregation for privacypreserving machine learning. In proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security , 2017.", "source": "marker_v2", "marker_block_id": "/page/10/Text/13"}
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