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Disambiguation of "Verma, Nakul"

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How I stopped worrying about training data bugs and started complaining.

, , , , and . DEEM@SIGMOD, page 1:1-1:5. ACM, (2022)

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Nakul Verma

Damian Verma

Melanie Verma

Smita Verma

Abhinav Verma

 

Other publications of authors with the same name

Distance preserving embeddings for general n-dimensional manifolds.. J. Mach. Learn. Res., 14 (1): 2415-2448 (2013)Time-Accuracy Tradeoffs in Kernel Prediction: Controlling Prediction Quality., and . J. Mach. Learn. Res., (2017)Contrastive Loss is All You Need to Recover Analogies as Parallel Lines., , and . RepL4NLP@ACL, page 164-173. Association for Computational Linguistics, (2023)How I stopped worrying about training data bugs and started complaining., , , , and . DEEM@SIGMOD, page 1:1-1:5. ACM, (2022)A Dataset for Learning University STEM Courses at Scale and Generating Questions at a Human Level., , , , , , , , , and 14 other author(s). AAAI, page 15921-15929. AAAI Press, (2023)Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics., , , , , and . EC, page 679-681. ACM, (2020)Solving Probability and Statistics Problems by Probabilistic Program Synthesis at Human Level and Predicting Solvability., , , , , , and . AIED (2), volume 13356 of Lecture Notes in Computer Science, page 612-615. Springer, (2022)Automated Symbolic Law Discovery: A Computer Vision Approach., , and . AAAI, page 660-668. AAAI Press, (2021)Complaint-Driven Training Data Debugging at Interactive Speeds., , , , , and . SIGMOD Conference, page 369-383. ACM, (2022)Improving Model Training via Self-learned Label Representations., and . CoRR, (2022)