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Category: MachineLearning

Most Influential NIPS Papers (2024-05)

The Conference on Neural Information Processing Systems (NIPS) is one of the top machine learning conferences in the world. Paper Digest Team analyzes all papers published on NIPS in the past years, and presents the 15 most influential papers for each year. This ranking list is automatically constructed based upon citations from both research papers and granted patents, and will be frequently updated to reflect the most recent changes. To find the latest version of this list or the most influential papers from other conferences/journals, please visit Best Paper Digest page. Note: the most influential papers may or may not include the papers that won the best paper awards. (Version: 2024-05)

To search or review papers within NIPS related to a specific topic, please use the search by venue (NIPS) and review by venue (NIPS) services. To browse the most productive NIPS authors by year ranked by #papers accepted, here is a list of most productive NIPS authors.

Most Influential ICLR Papers (2024-05)

The International Conference on Learning Representations (ICLR) is one of the top machine learning conferences in the world. Paper Digest Team analyzes all papers published on ICLR in the past years, and presents the 15 most influential papers for each year. This ranking list is automatically constructed based upon citations from both research papers and granted patents, and will be frequently updated to reflect the most recent changes. To find the latest version of this list or the most influential papers from other conferences/journals, please visit Best Paper Digest page. Note: the most influential papers may or may not include the papers that won the best paper awards. (Version: 2024-05)

To search or review papers within ICLR related to a specific topic, please use the search by venue (ICLR) and review by venue (ICLR) services. To browse the most productive ICLR authors by year ranked by #papers accepted, here is a list of most productive ICLR authors.

Most Influential ICML Papers (2024-05)

The International Conference on Machine Learning (ICML) is one of the top machine learning conferences in the world. Paper Digest Team analyzes all papers published on ICML in the past years, and presents the 15 most influential papers for each year. This ranking list is automatically constructed based upon citations from both research papers and granted patents, and will be frequently updated to reflect the most recent changes. To find the latest version of this list or the most influential papers from other conferences/journals, please visit Best Paper Digest page. Note: the most influential papers may or may not include the papers that won the best paper awards. (Version: 2024-05)

To search or review papers within ICML related to a specific topic, please use the search by venue (ICML) and review by venue (ICML) services. To browse the most productive ICML authors by year ranked by #papers accepted, here is a list of most productive ICML authors.

Paper Digest: ICLR 2024 Highlights

The International Conference on Learning Representations (ICLR) is one of the top machine learning conferences in the world. In 2024, it is to be held in Vienna. To help the community quickly catch up on the work presented in this conference, Paper Digest Team processed all accepted papers, and generated one highlight sentence (typically the main topic) for each paper. Readers are encouraged to read these machine generated highlights to quickly get the main idea of each paper.

Note: ICLR-2024 accepts more than 2,200 papers, this page only includes 500 of them selected by our daily paper digest algorithm. Interested users can choose to read All 2,200 ICLR-2024 papers in a separate page, which takes quite some time to load.

To search or review papers within ICLR-2024 related to a specific topic, please use the search by venue (ICLR-2024), review by venue (ICLR-2024) and question answering by venue (ICLR-2024) services. To browse papers by author, here is a list of all authors (ICLR-2024). You may also like to explore our "Best Paper" Digest (ICLR), which lists the most influential ICLR papers since 2018.

Paper Digest: NeurIPS 2023 Highlights

The Conference on Neural Information Processing Systems (NeurIPS) is one of the top machine learning conferences. In 2023, it is to be held in New Orleans. To help the community quickly catch up on the work presented in this conference, Paper Digest Team processed all accepted papers, and generated one highlight sentence (typically the main topic) for each paper. Readers are encouraged to read these machine generated highlights to quickly get the main idea of each paper.

Note: NeurIPS-2023 accepts more than 3,500 papers, this page only includes 500 of them selected by our daily paper digest algorithm. Interested users can choose to read All 3,500 NeurIPS-2023 papers in a separate page, which takes quite some time to load.

To search or review papers within NIPS-2023 related to a specific topic, please use the search by venue (NIPS-2023), review by venue (NIPS-2023) and question answering by venue (NIPS-2023) services. To browse papers by author, here is a list of all authors (NIPS-2023). You may also like to explore our "Best Paper" Digest (NeurIPS), which lists the most influential NeurIPS papers since 1987.

Most Influential NIPS Papers (2023-09)

The Conference on Neural Information Processing Systems (NIPS) is one of the top machine learning conferences in the world. Paper Digest Team analyzes all papers published on NIPS in the past years, and presents the 15 most influential papers for each year. This ranking list is automatically constructed based upon citations from both research papers and granted patents, and will be frequently updated to reflect the most recent changes. To find the latest version of this list or the most influential papers from other conferences/journals, please visit Best Paper Digest page. Note: the most influential papers may or may not include the papers that won the best paper awards. (Version: 2023-09)

To search or review papers within NIPS related to a specific topic, please use the search by venue (NIPS) and review by venue (NIPS) services. To browse the most productive NIPS authors by year ranked by #papers accepted, here is a list of most productive NIPS authors.

Most Influential ICML Papers (2023-09)

The International Conference on Machine Learning (ICML) is one of the top machine learning conferences in the world. Paper Digest Team analyzes all papers published on ICML in the past years, and presents the 15 most influential papers for each year. This ranking list is automatically constructed based upon citations from both research papers and granted patents, and will be frequently updated to reflect the most recent changes. To find the latest version of this list or the most influential papers from other conferences/journals, please visit Best Paper Digest page. Note: the most influential papers may or may not include the papers that won the best paper awards. (Version: 2023-09)

To search or review papers within ICML related to a specific topic, please use the search by venue (ICML) and review by venue (ICML) services. To browse the most productive ICML authors by year ranked by #papers accepted, here is a list of most productive ICML authors.

Most Influential ICLR Papers (2023-09)

The International Conference on Learning Representations (ICLR) is one of the top machine learning conferences in the world. Paper Digest Team analyzes all papers published on ICLR in the past years, and presents the 15 most influential papers for each year. This ranking list is automatically constructed based upon citations from both research papers and granted patents, and will be frequently updated to reflect the most recent changes. To find the latest version of this list or the most influential papers from other conferences/journals, please visit Best Paper Digest page. Note: the most influential papers may or may not include the papers that won the best paper awards. (Version: 2023-09)

To search or review papers within ICLR related to a specific topic, please use the search by venue (ICLR) and review by venue (ICLR) services. To browse the most productive ICLR authors by year ranked by #papers accepted, here is a list of most productive ICLR authors.

Paper Digest: ICML 2023 Highlights

To search or review papers within ICML-2023 related to a specific topic, please use the search by venue and review by venue services. To browse papers by author, here is a list of top authors (ICML-2023). You may also like to explore our "Best Paper" Digest (ICML), which lists the most influential ICML papers since 2004.

The Internationl Conference on Machine Learning (ICML) is one of the top machine learning conferences in the world. In 2023, it is to be held in Hawaii, US.

To help the community quickly catch up on the work presented in this conference, Paper Digest Team processed all accepted papers, and generated one highlight sentence (typically the main topic) for each paper. Readers are encouraged to read these machine generated highlights / summaries to quickly get the main idea of each paper.

Most Influential NIPS Papers (2023-04)

The Conference on Neural Information Processing Systems (NIPS) is one of the top machine learning conferences in the world. Paper Digest Team analyzes all papers published on NIPS in the past years, and presents the 15 most influential papers for each year. This ranking list is automatically constructed based upon citations from both research papers and granted patents, and will be frequently updated to reflect the most recent changes. To find the latest version of this list or the most influential papers from other conferences/journals, please visit Best Paper Digest page. Note: the most influential papers may or may not include the papers that won the best paper awards. (Version: 2023-04)

To search or review papers within NIPS related to a specific topic, please use the search by venue (NIPS) and review by venue (NIPS) services. To browse the most productive NIPS authors by year ranked by #papers accepted, here is a list of most productive NIPS authors.