The Annual Meeting of American Society of Clinical Oncology (ASCO) is among the world's premier cancer research forums. For the 2026 meeting in Chicago, the program includes over 7,000 accepted papers across more than 20 specialized areas. To facilitate rapid literature review, the Paper Digest Team has processed and indexed all accepted papers by research area. This integration allows the healthcare community to quickly browse papers by specific area, search & review papers by topic, follow papers by author, and connect each paper to the broader related literature.
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The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) is one of the top computer vision conferences in the world. The 2026 event will be held in Denver, starting June 3rd.
To facilitate rapid community engagement with the presented research, we have compiled an extensive index of accepted papers that have associated public code or data repositories. We list all of them in the following table. This index was generated using an automated extraction process. While we strive for completeness, some papers with public resources may have been missed. Please inform us if you discover any additional papers that should be included. Readers should be aware that some code repositories may not be made fully public until the conference officially begins.
In addition to this index, we encourage readers to explore our related resources: CVPR-2026 papers & highlights: For curated summaries and key takeaways from this year's conference. "Best Paper" Digest (CVPR): A historical overview of the most influential CVPR papers published since 1988.
To facilitate rapid community engagement with the presented research, we have compiled an extensive index of accepted papers that have associated public code or data repositories. We list all of them in the following table. This index was generated using an automated extraction process. While we strive for completeness, some papers with public resources may have been missed. Please inform us if you discover any additional papers that should be included. Readers should be aware that some code repositories may not be made fully public until the conference officially begins.
In addition to this index, we encourage readers to explore our related resources: CVPR-2026 papers & highlights: For curated summaries and key takeaways from this year's conference. "Best Paper" Digest (CVPR): A historical overview of the most influential CVPR papers published since 1988.
The International Conference on Machine Learning (ICML) is one of the top machine learning conferences in the world. In 2026, it is to be held in Seoul. 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-2026 accepts more than 6,500 papers, this page only includes 500 of them selected by our daily paper digest algorithm. Interested users can choose to read All 6,500 ICML-2026 papers in a separate page, which takes quite some time to load.
To search for papers presented at ICML-2026 on a specific topic, please make use of the search by venue (ICML-2026) service. To summarize the latest research published at ICML-2026 on a specific topic, you can utilize the review by venue (ICML-2026) service. If you are interested in browsing papers by author, we have a comprehensive list of ~ 25,000 authors (ICML-2026). Additionally, you may want to explore our "Best Paper" Digest (ICML), which lists the most influential ICML papers since 2004.
Note: ICML-2026 accepts more than 6,500 papers, this page only includes 500 of them selected by our daily paper digest algorithm. Interested users can choose to read All 6,500 ICML-2026 papers in a separate page, which takes quite some time to load.
To search for papers presented at ICML-2026 on a specific topic, please make use of the search by venue (ICML-2026) service. To summarize the latest research published at ICML-2026 on a specific topic, you can utilize the review by venue (ICML-2026) service. If you are interested in browsing papers by author, we have a comprehensive list of ~ 25,000 authors (ICML-2026). Additionally, you may want to explore our "Best Paper" Digest (ICML), which lists the most influential ICML papers since 2004.
The IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) is one of the top signal processing conferences in the world. In 2026, it is to be held in Palo Alto. 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: ICASSP-2026 accepts more than 4,500 papers, this page only includes 500 of them selected by our daily paper digest algorithm. Interested users can choose to read All 4,500 ICASSP-2026 papers in a separate page, which takes quite some time to load.
To search for papers presented at ICASSP-2026 on a specific topic, please make use of the search by venue (ICASSP-2026) service. To summarize the latest research published at ICASSP-2026 on a specific topic, you can utilize the review by venue (ICASSP-2026) service. If you are interested in browsing papers by author, we have a comprehensive list of ~ 5,700 authors (ICASSP-2026).
Note: ICASSP-2026 accepts more than 4,500 papers, this page only includes 500 of them selected by our daily paper digest algorithm. Interested users can choose to read All 4,500 ICASSP-2026 papers in a separate page, which takes quite some time to load.
To search for papers presented at ICASSP-2026 on a specific topic, please make use of the search by venue (ICASSP-2026) service. To summarize the latest research published at ICASSP-2026 on a specific topic, you can utilize the review by venue (ICASSP-2026) service. If you are interested in browsing papers by author, we have a comprehensive list of ~ 5,700 authors (ICASSP-2026).
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) is one of the top computer vision conferences in the world. In 2026, it is to be held in Denver. 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: CVPR-2026 accepts more than 4,000 papers, this page only includes 500 of them selected by our daily paper digest algorithm. Interested users can choose to read All 4,000 CVPR-2026 papers in a separate page, which takes quite some time to load.
To search for papers presented at CVPR-2026 on a specific topic, please make use of the search by venue (CVPR-2026) service. To summarize the latest research published at CVPR-2026 on a specific topic, you can utilize the review by venue (CVPR-2026) service. If you are interested in browsing papers by author, we have a comprehensive list of ~ 17,000 authors (CVPR-2026). If you are interested in papers with code, here is the CVPR-2026 Code page, which lists ~1,000 CVPR 2026 accepted papers that have associated public code, data, or a demo link available. The links are directly extracted from their paper submissions. This is approximately 25% of the 4,000+ accepted papers. Additionally, you may want to explore our "Best Paper" Digest (CVPR), which lists the most influential CVPR papers since 1988.
Note: CVPR-2026 accepts more than 4,000 papers, this page only includes 500 of them selected by our daily paper digest algorithm. Interested users can choose to read All 4,000 CVPR-2026 papers in a separate page, which takes quite some time to load.
To search for papers presented at CVPR-2026 on a specific topic, please make use of the search by venue (CVPR-2026) service. To summarize the latest research published at CVPR-2026 on a specific topic, you can utilize the review by venue (CVPR-2026) service. If you are interested in browsing papers by author, we have a comprehensive list of ~ 17,000 authors (CVPR-2026). If you are interested in papers with code, here is the CVPR-2026 Code page, which lists ~1,000 CVPR 2026 accepted papers that have associated public code, data, or a demo link available. The links are directly extracted from their paper submissions. This is approximately 25% of the 4,000+ accepted papers. Additionally, you may want to explore our "Best Paper" Digest (CVPR), which lists the most influential CVPR papers since 1988.
The International Conference on Learning Representations (ICLR) is one of the top machine learning conferences in the world. The 2026 event will be held in Rio de Janeiro, Brazil, starting at April 22nd.
To facilitate rapid community engagement with the presented research, we have compiled an extensive index of accepted papers that have associated public code or data repositories. We list all of them in the following table. This index was generated using an automated extraction process. While we strive for completeness, some papers with public resources may have been missed. Please inform us if you discover any additional papers that should be included. Readers should be aware that some code repositories may not be made fully public until the conference officially begins.
In addition to this index, we encourage readers to explore our related resources: ICLR-2026 papers & highlights: For curated summaries and key takeaways from this year's conference. "Best Paper" Digest (ICLR): A historical overview of the most influential ICLR papers published since 2018.
To facilitate rapid community engagement with the presented research, we have compiled an extensive index of accepted papers that have associated public code or data repositories. We list all of them in the following table. This index was generated using an automated extraction process. While we strive for completeness, some papers with public resources may have been missed. Please inform us if you discover any additional papers that should be included. Readers should be aware that some code repositories may not be made fully public until the conference officially begins.
In addition to this index, we encourage readers to explore our related resources: ICLR-2026 papers & highlights: For curated summaries and key takeaways from this year's conference. "Best Paper" Digest (ICLR): A historical overview of the most influential ICLR papers published since 2018.
The American Association for Cancer Research Annual Meeting (AACR) is among the world's premier cancer research forums. For the 2026 meeting in San Diego, the program includes over 6,000 accepted papers across 200 specialized areas. To facilitate rapid literature review, the Paper Digest Team has processed and indexed all accepted papers by research area. This integration allows the healthcare community to quickly browse papers by specific area, search & review papers by topic, follow papers by author, and connect each paper to the broader related literature.
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: 2026-04).
The field of Numerical Analysis in arXiv covers Numerical algorithms for problems in analysis and algebra, scientific computation. 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: 2026-04).
The field of Computation and Language in arXiv covers natural language processing. Roughly it includes material in ACM Subject Class I.2.7. Note that work on artificial languages (programming languages, logics, formal systems) that does not explicitly address natural-language issues broadly construed (natural-language processing, computational linguistics, speech, text retrieval, etc.) is not appropriate for this area. 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: 2026-04).