{"id":16512929,"url":"https://github.com/daskol/paper-reviews","last_synced_at":"2026-03-06T01:41:26.841Z","repository":{"id":88392997,"uuid":"85993235","full_name":"daskol/paper-reviews","owner":"daskol","description":null,"archived":false,"fork":false,"pushed_at":"2018-10-24T20:12:32.000Z","size":8682,"stargazers_count":3,"open_issues_count":0,"forks_count":1,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-01-12T21:29:27.487Z","etag":null,"topics":["neural-network","paper","review"],"latest_commit_sha":null,"homepage":null,"language":"TeX","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/daskol.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":"citations/Ben-David S. et al. - On the power of randomization in on-line algorithms - 1994.bib","codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2017-03-23T20:13:38.000Z","updated_at":"2023-11-14T07:18:43.000Z","dependencies_parsed_at":"2023-03-04T03:15:16.342Z","dependency_job_id":null,"html_url":"https://github.com/daskol/paper-reviews","commit_stats":{"total_commits":13,"total_committers":2,"mean_commits":6.5,"dds":0.07692307692307687,"last_synced_commit":"8e1bd2e646e48d26beb464ef6307650e7e4c15a1"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/daskol%2Fpaper-reviews","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/daskol%2Fpaper-reviews/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/daskol%2Fpaper-reviews/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/daskol%2Fpaper-reviews/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/daskol","download_url":"https://codeload.github.com/daskol/paper-reviews/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241482101,"owners_count":19969850,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["neural-network","paper","review"],"created_at":"2024-10-11T16:06:39.450Z","updated_at":"2026-03-06T01:41:21.802Z","avatar_url":"https://github.com/daskol.png","language":"TeX","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Papers\n\n*papers \u0026 review*\n\nHere I stores all article I have ever read and reviews them.\n\n## Review List\n\n1. **A**\n\n    1. [Albers S. - Online Algorithms - 2006](reviews/Albers%20S.%20-%20Online%20Algorithms%20-%202006.md)\n\n2. **B**\n\n    1. [Bed-Devide S. et al - On the Power of Randomization in Online Algorithms - 1990](reviews/Bed-Devide%20S.%20et%20al%20-%20On%20the%20Power%20of%20Randomization%20in%20Online%20Algorithms%20-%201990.md)\n    2. [Benetka J. R. et al - Anticipating Information Needs Based on Check-in Activity - 2017](reviews/Benetka%20J.%20R.%20et%20al%20-%20Anticipating%20Information%20Needs%20Based%20on%20Check-in%20Activity%20-%202017.md)\n    3. [Biamonte J. et al. Quantum machine learning - 2017](reviews/Biamonte%20J.%20et%20al.%20Quantum%20machine%20learning%20-%202017.md)\n\n3. **G**\n\n    1. [Girshick R. et al - Rich feature hierarchies for accurate object detection and semantic segmentation - 2014](reviews/Girshick%20R.%20et%20al%20-%20Rich%20feature%20hierarchies%20for%20accurate%20object%20detection%20and%20semantic%20segmentation%20-%202014.md)\n    2. [Giovannetti V., Lloyd S., Maccone L. - Quantum random access memory - 2008](reviews/Giovannetti%20el%20al%20-%20Quantum%20random%20access%20memory%20-%202008.md)\n\n4. **K**\n\n    1. [Kirkpatrick J. et al - Overcoming catastrophic forgetting in neural networks - 2017](reviews/Kirkpatrick%20J.%20et%20al%20-%20Overcoming%20catastrophic%20forgetting%20in%20neural%20networks%20-%202017.md)\n    2. [Kingma D. et al - Glow: Generative flow with invertible 1x1 convolutions - 2018](reviews/Kingma%20D.%20et%20al%20-%20Glow:%20Generative%20flow%20with%20invertible%201x1%20convolutions%20-%202018.md)\n\n5. **L**\n\n    1. [Lv K. et al - Learning Gradient Descent: Better Generalization and Longer Horizons - 2017](reviews/Lv%20K.%20et%20al%20-%20Learning%20Gradient%20Descent:%20Better%20Generalization%20and%20Longer%20Horizons%20-%202017.md)\n\n6. **N**\n\n    1. [Novikov A. et al - Tensorizing neural networks - 2015](reviews/Novikov%20A.%20et%20al%20-%20Tensorizing%20neural%20networks%20-%202015.md)\n\n## List\n\n1. [S. Albers. *Online algorithms* // In Interactive Computation: The New Paradigm edited by D.Q. Goldin, S.A. Smolka and P. Wegner, 143-164, 2006.](http://www14.in.tum.de/personen/albers/papers/inter.pdf)\n2. [Ben-David S. et al. *On the Power of Randomization in Online Algorithms* // 1990](https://pdfs.semanticscholar.org/0705/e28b8ec561884ae37fde887a4ded5d2df107.pdf)\n3. [Lv K. et al. *Learning Gradient Descent: Better Generalization and Longer Horizons* // arXiv:1703.03633v2](https://arxiv.org/abs/1703.03633)\n4. [Benetka J. R. et al. *Anticipating Information Needs Based on Check-in Activity* // WSDM. - 2017](http://zero-query.com/paper/benetka-wsdm2017-activity.pdf)\n5. [Novikov A. et al. *Tensorizing neural networks* // Advances in Neural Information Processing Systems. – 2015](http://papers.nips.cc/paper/5787-tensorizing-neural-networks.pdf)\n6. [Kirkpatrick J. et al. *Overcoming catastrophic forgetting in neural networks* // 2017](https://arxiv.org/abs/1612.00796)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdaskol%2Fpaper-reviews","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdaskol%2Fpaper-reviews","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdaskol%2Fpaper-reviews/lists"}