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ICLR 2026 Papers with Code & Data
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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.

Paper Digest: AACR 2026 Papers & Highlights
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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.

Most Influential ArXiv (Machine Learning) Papers (2026-04 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: 2026-04).

Most Influential ArXiv (Numerical Analysis) Papers (2026-04 Version)
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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).

Most Influential ArXiv (Computation and Language) Papers (2026-04 Version)
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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).

Most Influential ArXiv (Software Engineering) Papers (2026-04 Version)
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The field of Software Engineering in arXiv covers design tools, software metrics, testing and debugging, programming environments, etc. Roughly it includes material in all of ACM Subject Classes D.2, except that D.2.4 (program verification) should probably have Logics in Computer Science as the primary subject 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).

Most Influential ArXiv (Information Retrieval) Papers (2026-04 Version)
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The field of Information Retrieval in arXiv covers indexing, dictionaries, retrieval, content and analysis. Roughly it includes material in ACM Subject Classes H.3.0, H.3.1, H.3.2, H.3.3, and H.3.4. 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).

Most Influential ArXiv (Optimization and Control) Papers (2026-04 Version)
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The field of Optimization and Control in arXiv covers Operations research, linear programming, control theory, systems theory, optimal control, game theory. 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).

Most Influential ArXiv (Cosmology and Nongalactic Astrophysics) Papers (2026-04 Version)
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The field of Cosmology and Nongalactic Astrophysics in arXiv covers Phenomenology of early universe, cosmic microwave background, cosmological parameters, primordial element abundances, extragalactic distance scale, large-scale structure of the universe; Groups, superclusters, voids, intergalactic medium; Particle astrophysics: dark energy, dark matter, baryogenesis, leptogenesis, inflationary models, reheating, monopoles, WIMPs, cosmic strings, primordial black holes, cosmological gravitational radiation. 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).

Most Influential ArXiv (Artificial Intelligence) Papers (2026-04 Version)
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The field of Artificial Intelligence in arXiv covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, it includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly it includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11. 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).