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Results
Found 66 publication records. Showing 66 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Clemens Ruck, Maximilian Emanuel Schüle |
Teaching Blue Elephants the Maths for Machine Learning.  |
DEEM@SIGMOD  |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Ties Robroek, Aaron Duane, Ehsan Yousefzadeh-Asl-Miandoab, Pinar Tözün |
Data Management and Visualization for Benchmarking Deep Learning Training Systems. |
DEEM@SIGMOD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Gaurav Tarlok Kakkar, Jiashen Cao, Pramod Chunduri, Zhuangdi Xu, Suryatej Reddy Vyalla, Prashanth Dintyala, Anirudh Prabakaran, Jaeho Bang, Aubhro Sengupta, Kaushik Ravichandran 0002, Ishwarya Sivakumar, Aryan Rajoria, Ashmita Raju, Tushar Aggarwal, Abdullah Shah, Sanjana Garg, Shashank Suman, Myna Prasanna Kalluraya, Subrata Mitra, Ali Payani, Yao Lu, Umakishore Ramachandran, Joy Arulraj |
EVA: An End-to-End Exploratory Video Analytics System. |
DEEM@SIGMOD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Yordan Grigorov, Haralampos Gavriilidis, Sergey Redyuk, Kaustubh Beedkar, Volker Markl |
P2D: A Transpiler Framework for Optimizing Data Science Pipelines. |
DEEM@SIGMOD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Cheng Zhen, Amandeep Singh Chabada, Arash Termehchy |
When Can We Ignore Missing Data in Model Training? |
DEEM@SIGMOD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Benjamin Hilprecht, Christian Hammacher, Eduardo Souza dos Reis, Mohamed Abdelaal 0001, Carsten Binnig |
DiffML: End-to-end Differentiable ML Pipelines. |
DEEM@SIGMOD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Supawit Chockchowwat, Zhaoheng Li, Yongjoo Park |
Transactional Python for Durable Machine Learning: Vision, Challenges, and Feasibility. |
DEEM@SIGMOD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | |
Proceedings of the Seventh Workshop on Data Management for End-to-End Machine Learning, DEEM 2023, Seattle, WA, USA, 18 June 2023 |
DEEM@SIGMOD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Marius Schlegel, Kai-Uwe Sattler |
MLflow2PROV: Extracting Provenance from Machine Learning Experiments. |
DEEM@SIGMOD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Haoxiang Zhang 0003, Roque Lopez, Aécio S. R. Santos, Jorge Piazentin Ono, Aline Bessa, Juliana Freire |
Using Pipeline Performance Prediction to Accelerate AutoML Systems. |
DEEM@SIGMOD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Sonia Horchidan, Emmanouil Kritharakis, Vasiliki Kalavri, Paris Carbone |
Evaluating model serving strategies over streaming data. |
DEEM@SIGMOD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Lampros Flokas, Weiyuan Wu, Jiannan Wang 0001, Nakul Verma, Eugene Wu 0002 |
How I stopped worrying about training data bugs and started complaining. |
DEEM@SIGMOD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Shruti Kunde, Sharod Roy Choudhury, Amey Pandit, Rekha Singhal |
Learning-to-learn efficiently with self-learning. |
DEEM@SIGMOD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Jin Wang 0007, Yuliang Li 0001 |
Minun: evaluating counterfactual explanations for entity matching. |
DEEM@SIGMOD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Valerie Restat, Gerrit Boerner, André Conrad, Uta Störl |
GouDa - generation of universal data sets: improving analysis and evaluation of data preparation pipelines. |
DEEM@SIGMOD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Stefan Grafberger, Paul Groth, Sebastian Schelter |
Towards data-centric what-if analysis for native machine learning pipelines. |
DEEM@SIGMOD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Sabri Eyuboglu, Bojan Karlas, Christopher Ré, Ce Zhang 0001, James Zou 0001 |
dcbench: a benchmark for data-centric AI systems. |
DEEM@SIGMOD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Matthias Boehm 0001, Paroma Varma, Doris Xin (eds.) |
DEEM '22: Proceedings of the Sixth Workshop on Data Management for End-To-End Machine Learning Philadelphia, PA, USA, 12 June 2022 |
DEEM@SIGMOD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Rui Liu 0002, David Wong, Dave Lange, Patrik Larsson, Vinay Jethava, Qing Zheng |
Accelerating container-based deep learning hyperparameter optimization workloads. |
DEEM@SIGMOD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Maximilian E. Schüle, Maximilian Springer, Alfons Kemper, Thomas Neumann 0001 |
LLVM code optimisation for automatic differentiation: when forward and reverse mode lead in the same direction. |
DEEM@SIGMOD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Matthias Boehm 0001, Julia Stoyanovich, Steven Whang 0001 (eds.) |
Proceedings of the Fifth Workshop on Data Management for End-To-End Machine Learning, In conjunction with the 2021 ACM SIGMOD/PODS Conference, DEEM@SIGMOD 2021, Virtual Event, China, 20 June, 2021 |
DEEM@SIGMOD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Fatma Özcan, Chuan Lei, Abdul Quamar, Vasilis Efthymiou |
Semantic enrichment of data for AI applications. |
DEEM@SIGMOD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Rui Liu 0002, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin |
Understanding and optimizing packed neural network training for hyper-parameter tuning. |
DEEM@SIGMOD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Nantia Makrynioti, Ruy Ley-Wild, Vasilis Vassalos |
Machine learning in SQL by translation to TensorFlow. |
DEEM@SIGMOD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Wentao Wu 0001, Ce Zhang 0001 |
Towards understanding end-to-end learning in the context of data: machine learning dancing over semirings & Codd's table. |
DEEM@SIGMOD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Hantian Zhang, Nima Shahbazi, Xu Chu, Abolfazl Asudeh |
FairRover: explorative model building for fair and responsible machine learning. |
DEEM@SIGMOD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Lena Wiese, Deborah Höltje |
NNCompare: a framework for dataset selection, data augmentation and comparison of different neural networks for medical image analysis. |
DEEM@SIGMOD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Mike Dreves, Gene Huang, Zhuo Peng, Neoklis Polyzotis, Evan Rosen, Paul Suganthan G. C. |
From Data to Models and Back. |
DEEM@SIGMOD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Sebastian Schelter, Steven Whang 0001, Julia Stoyanovich (eds.) |
Proceedings of the Fourth Workshop on Data Management for End-To-End Machine Learning, In conjunction with the 2020 ACM SIGMOD/PODS Conference, DEEM@SIGMOD 2020, Portland, OR, USA, June 14, 2020 |
DEEM@SIGMOD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Andrew Chen, Andy Chow, Aaron Davidson, Arjun DCunha, Ali Ghodsi 0002, Sue Ann Hong, Andy Konwinski, Clemens Mewald, Siddharth Murching, Tomas Nykodym, Paul Ogilvie, Mani Parkhe, Avesh Singh, Fen Xie, Matei Zaharia, Richard Zang, Juntai Zheng, Corey Zumar |
Developments in MLflow: A System to Accelerate the Machine Learning Lifecycle. |
DEEM@SIGMOD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Carlo Curino, Neha Godwal, Brian Kroth, Sergiy Kuryata, Greg Lapinski, Siqi Liu, Slava Oks, Olga Poppe, Adam Smiechowski, Ed Thayer, Markus Weimer, Yiwen Zhu |
MLOS: An Infrastructure for Automated Software Performance Engineering. |
DEEM@SIGMOD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Benjamin De Boe, Tom Woodfin, Thomas Dyar, Dave McCaldon, Aleks Djakovic, Alex MacLeod, Don Woodlock |
IntegratedML: Every SQL Developer is a Data Scientist. |
DEEM@SIGMOD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Leopoldo E. Bertossi, Jordan Li, Maximilian Schleich, Dan Suciu, Zografoula Vagena |
Causality-based Explanation of Classification Outcomes. |
DEEM@SIGMOD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Michael Bohlke-Schneider, Shubham Kapoor, Tim Januschowski |
Resilient Neural Forecasting Systems. |
DEEM@SIGMOD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Rekha Singhal, Dheeraj Chahal, Shruti Kunde, Mayank Mishra, Manoj Nambiar 0001 |
A Vision on Accelerating Enterprise IT System 2.0. |
DEEM@SIGMOD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Piali Das, Nikita Ivkin, Tanya Bansal, Laurence Rouesnel, Philip Gautier, Zohar S. Karnin, Leo Dirac, Lakshmi Ramakrishnan, Andre Perunicic, Iaroslav Shcherbatyi, Wilton Wu, Aida Zolic, Huibin Shen, Amr Ahmed 0004, Fela Winkelmolen, Miroslav Miladinovic, Cédric Archambeau, Alex Tang, Bhaskar Dutt, Patricia Grao, Kumar Venkateswar |
Amazon SageMaker Autopilot: a white box AutoML solution at scale. |
DEEM@SIGMOD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Pablo Barceló, Nelson Higuera, Jorge Pérez 0001, Bernardo Subercaseaux |
Expressiveness of Matrix and Tensor Query Languages in terms of ML Operators. |
DEEM@SIGMOD |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Vraj Shah, Arun Kumar 0001 |
The ML Data Prep Zoo: Towards Semi-Automatic Data Preparation for ML. |
DEEM@SIGMOD |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Eran Bringer, Abraham Israeli, Yoav Shoham, Alexander Ratner, Christopher Ré |
Osprey: Weak Supervision of Imbalanced Extraction Problems without Code. |
DEEM@SIGMOD |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Gharib Gharibi, Vijay Walunj, Rakan Alanazi, Sirisha Rella, Yugyung Lee |
Automated Management of Deep Learning Experiments. |
DEEM@SIGMOD |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Justin Chen, Edward Gan, Kexin Rong 0001, Sahaana Suri, Peter Bailis |
CrossTrainer: Practical Domain Adaptation with Loss Reweighting. |
DEEM@SIGMOD |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Vijay S. Kumar, Paul Cuddihy, Kareem S. Aggour |
NodeGroup: A Knowledge-driven Data Management Abstraction for Industrial Machine Learning. |
DEEM@SIGMOD |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Supun Nakandala, Yuhao Zhang, Arun Kumar 0001 |
Cerebro: Efficient and Reproducible Model Selection on Deep Learning Systems. |
DEEM@SIGMOD |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Maximilian E. Schüle, Matthias Bungeroth, Alfons Kemper, Stephan Günnemann, Thomas Neumann 0001 |
MLearn: A Declarative Machine Learning Language for Database Systems. |
DEEM@SIGMOD |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Sebastian Schelter, Neoklis Polyzotis, Stephan Seufert, Manasi Vartak (eds.) |
Proceedings of the 3rd International Workshop on Data Management for End-to-End Machine Learning, DEEM@SIGMOD 2019, Amsterdam, The Netherlands, June 30, 2019 |
DEEM@SIGMOD |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Ki Hyun Tae, Yuji Roh, Young Hun Oh, Hyunsu Kim, Steven Euijong Whang |
Data Cleaning for Accurate, Fair, and Robust Models: A Big Data - AI Integration Approach. |
DEEM@SIGMOD |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Raoni Lourenço, Juliana Freire, Dennis E. Shasha |
Debugging Machine Learning Pipelines. |
DEEM@SIGMOD |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Sahaana Suri, Peter Bailis |
DROP: A Workload-Aware Optimizer for Dimensionality Reduction. |
DEEM@SIGMOD |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran |
Accelerating Human-in-the-loop Machine Learning: Challenges and Opportunities. |
DEEM@SIGMOD |
2018 |
DBLP DOI BibTeX RDF |
|
| 1 | Nantia Makrynioti, Nikolaos Vasiloglou, Emir Pasalic, Vasilis Vassalos |
Modelling Machine Learning Algorithms on Relational Data with Datalog. |
DEEM@SIGMOD |
2018 |
DBLP DOI BibTeX RDF |
|
| 1 | Jose Picado, Arash Termehchy, Sudhanshu Pathak |
Learning Efficiently Over Heterogeneous Databases: Sampling and Constraints to the Rescue. |
DEEM@SIGMOD |
2018 |
DBLP DOI BibTeX RDF |
|
| 1 | Jennifer Ortiz, Magdalena Balazinska, Johannes Gehrke, S. Sathiya Keerthi |
Learning State Representations for Query Optimization with Deep Reinforcement Learning. |
DEEM@SIGMOD |
2018 |
DBLP DOI BibTeX RDF |
|
| 1 | Jian Zhang 0049, Max Lam, Stephanie Wang, Paroma Varma, Luigi Nardi, Kunle Olukotun, Christopher Ré |
Exploring the Utility of Developer Exhaust. |
DEEM@SIGMOD |
2018 |
DBLP DOI BibTeX RDF |
|
| 1 | Carsten Binnig, Benedetto Buratti, Yeounoh Chung, Cyrus Cousins, Tim Kraska, Zeyuan Shang, Eli Upfal, Robert C. Zeleznik, Emanuel Zgraggen |
Towards Interactive Curation & Automatic Tuning of ML Pipelines. |
DEEM@SIGMOD |
2018 |
DBLP DOI BibTeX RDF |
|
| 1 | Janani Balaji, Chris Min, Faizan Javed, Yun Zhu |
Avatar: Large Scale Entity Resolution of Heterogeneous User Profiles. |
DEEM@SIGMOD |
2018 |
DBLP DOI BibTeX RDF |
|
| 1 | Alexander Ratner, Braden Hancock, Jared Dunnmon, Roger E. Goldman, Christopher Ré |
Snorkel MeTaL: Weak Supervision for Multi-Task Learning. |
DEEM@SIGMOD |
2018 |
DBLP DOI BibTeX RDF |
|
| 1 | Wail Y. Alkowaileet, Sattam Alsubaiee, Michael J. Carey 0001, Chen Li 0001, Heri Ramampiaro, Phanwadee Sinthong, Xikui Wang |
End-to-End Machine Learning with Apache AsterixDB. |
DEEM@SIGMOD |
2018 |
DBLP DOI BibTeX RDF |
|
| 1 | Sebastian Schelter, Stephan Seufert, Arun Kumar (eds.) |
Proceedings of the Second Workshop on Data Management for End-To-End Machine Learning, DEEM@SIGMOD 2018, Houston, TX, USA, June 15, 2018 |
DEEM@SIGMOD |
2018 |
DBLP BibTeX RDF |
|
| 1 | Mahmoud Abo Khamis, Hung Q. Ngo 0001, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich |
AC/DC: In-Database Learning Thunderstruck. |
DEEM@SIGMOD |
2018 |
DBLP DOI BibTeX RDF |
|
| 1 | Sebastian Schelter, Reza Zadeh (eds.) |
Proceedings of the 1st Workshop on Data Management for End-to-End Machine Learning, DEEM@SIGMOD 2017, Chicago, IL, USA, May 14, 2017 |
DEEM@SIGMOD |
2017 |
DBLP DOI BibTeX RDF |
|
| 1 | Jose Picado, Arash Termehchy, Alan Fern, Sudhanshu Pathak |
Towards Automatically Setting Language Bias in Relational Learning. |
DEEM@SIGMOD |
2017 |
DBLP DOI BibTeX RDF |
|
| 1 | Rajesh Bordawekar, Oded Shmueli |
Using Word Embedding to Enable Semantic Queries in Relational Databases. |
DEEM@SIGMOD |
2017 |
DBLP DOI BibTeX RDF |
|
| 1 | Lingjiao Chen, Paraschos Koutris, Arun Kumar 0001 |
Model-based Pricing: Do Not Pay for More than What You Learn! |
DEEM@SIGMOD |
2017 |
DBLP DOI BibTeX RDF |
|
| 1 | Vishal Chowdhary, Scott Greenwood |
EMT: End To End Model Training for MSR Machine Translation. |
DEEM@SIGMOD |
2017 |
DBLP DOI BibTeX RDF |
|
| 1 | Tom van der Weide, Dimitris Papadopoulos, Oleg Smirnov, Michal Zielinski, Tim van Kasteren |
Versioning for End-to-End Machine Learning Pipelines. |
DEEM@SIGMOD |
2017 |
DBLP DOI BibTeX RDF |
|
| 1 | Hui Miao 0001, Ang Li 0001, Larry S. Davis, Amol Deshpande |
On Model Discovery For Hosted Data Science Projects. |
DEEM@SIGMOD |
2017 |
DBLP DOI BibTeX RDF |
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