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Category: MachineLearning

Paper Digest: NeurIPS 2025 Papers & Highlights
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The Conference on Neural Information Processing Systems (NIPS) is one of the top machine learning conferences in the world. 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-2025 accepts more than 5,000 papers, this page only includes the oral and spotlight accepts. Interested users can choose to read All 5,300 NeurIPS-2025 papers in a separate page.

To search for papers presented at NIPS-2025 on a specific topic, please make use of the search by venue (NIPS-2025) service. To summarize the latest research published at NeurIPS-2025 on a specific topic, you can utilize the review by venue (NIPS-2025) service. If you are interested in browsing papers by author, we have a comprehensive list of ~ 21,000 authors (NIPS-2025). Additionally, you may want to explore our "Best Paper" Digest (NeurIPS), which lists the most influential NeurIPS papers since 1987.

Most Influential NIPS Papers (2025-09 Version)
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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: 2025-09)

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 are the most productive NIPS authors grouped by year.

Most Influential ICML Papers (2025-09 Version)
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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: 2025-09)

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 are the most productive ICML authors grouped by year.

Most Influential ICLR Papers (2025-09 Version)
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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: 2025-09)

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 are the most productive ICLR authors grouped by year.

Most Influential UAI Papers (2025-09 Version)
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The Annual Conference on Uncertainty in Artificial Intelligence (UAI) is one of the top machine learning conferences in the world. Paper Digest Team analyzes all papers published on UAI 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: 2025-09)

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

Most Influential AISTATS Papers (2025-09 Version)
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The Annual Conference on Artificial Intelligence and Statistics (AISTATS) is one of the top machine learning conferences in the world. Paper Digest Team analyzes all papers published on AISTATS 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: 2025-09)

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

Most Influential ArXiv (Machine Learning) Papers (2025-09 Version)
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The field of Machine Learning in arXiv covers papers on all aspects of machine learning research (supervised, unsupervised, reinforcement learning, bandit problems, and so on) including also robustness, explanation, fairness, and methodology. It is also an appropriate primary category for applications of machine learning methods. Paper Digest Team analyzes all papers published in this field in the past years, and presents up to 30 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: 2025-09).

Paper Digest: UAI 2025 Papers & Highlights
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The Conference on Uncertainty in Artificial Intelligence (UAI) is one of the premier international conferences on research related to knowledge representation, learning, and reasoning in the presence of uncertainty. 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.

To search for papers presented at UAI-2025 on a specific topic, please make use of the search by venue (UAI-2025) service. To summarize the latest research published at UAI 2025 on a specific topic, you can utilize the review by venue (UAI-2025) service. If you are interested in browsing papers by author, we have a comprehensive list of all authors (UAI-2025).

Paper Digest: COLT 2025 Papers & Highlights
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The Annual Conference on Learning Theory (COLT) is one of the premier international conferences on learning theory. 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.

To search for papers presented at COLT-2025 on a specific topic, please make use of the search by venue (COLT-2025) service. To summarize the latest research published at COLT 2025 on a specific topic, you can utilize the review by venue (COLT-2025) service. If you are interested in browsing papers by author, we have a comprehensive list of all authors (COLT-2025).

Paper Digest: ICML 2025 Papers & Highlights
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The International Conference on Machine Learning (ICML) is one of the top machine learning conferences in the world. In 2025, it is to be held in Vancouver. 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: ICML-2025 accepts more than 3,300 papers, this page only includes 500 of them selected by our daily paper digest algorithm. Interested users can choose to read All 3,300 ICML-2025 papers in a separate page.

To search for papers presented at ICML-2025 on a specific topic, please make use of the search by venue (ICML-2025) service. To summarize the latest research published at ICML-2025 on a specific topic, you can utilize the review by venue (ICML-2025) service. If you are interested in browsing papers by author, we have a comprehensive list of ~ 13,000 authors (ICML-2025). Additionally, you may want to explore our "Best Paper" Digest (ICML), which lists the most influential ICML papers since 2004.

We've developed a service - ICML-2025 Research that synthesizes the latest findings from ICML 2025 into comprehensive reports. For instance, we've generated a report on Advances in Flow Matching: Insights from ICML 2025 Papers. We encourage interested users to utilize our service to create tailored reports on other emerging topics.