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- Vera Lúcia Strube de Lima
Pontifical Catholic University of Rio Grande do Sul, Faculty of Informatics - Volker Strubenhoff
- Vincent Strubel
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Publication search results
found 130 matches
- 2024
- Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo:
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. CoRR abs/2402.00159 (2024) - Dirk Groeneveld, Iz Beltagy, Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi:
OLMo: Accelerating the Science of Language Models. CoRR abs/2402.00838 (2024) - 2023
- Jonas Eschle
, Tamás Gál
, Mosè Giordano
, Philippe Gras
, Benedikt Hegner, Lukas Heinrich
, Uwe Hernandez Acosta
, Stefan Kluth
, Jerry (Jiahong) Ling
, Pere Mato
, Mikhail Mikhasenko
, Alexander Moreno Briceño
, Jim Pivarski
, Konstantinos Samaras-Tsakiris
, Oliver Schulz
, Graeme Andrew Stewart
, Jan Strube
, Vassil Vassilev:
Potential of the Julia Programming Language for High Energy Physics Computing. Comput. Softw. Big Sci. 7(1): 10 (2023) - Sanket Vaibhav Mehta, Darshan Patil, Sarath Chandar, Emma Strubell:
An Empirical Investigation of the Role of Pre-training in Lifelong Learning. J. Mach. Learn. Res. 24: 214:1-214:50 (2023) - Dheeru Dua, Emma Strubell, Sameer Singh, Pat Verga:
To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering. ACL (1) 2023: 14429-14446 - Sanket Vaibhav Mehta, Jai Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork
, Emma Strubell, Donald Metzler:
DSI++: Updating Transformer Memory with New Documents. EMNLP 2023: 8198-8213 - Lars van Arragon, Carlos Diego Nascimento Damasceno, Daniel Strüber:
Model-Driven Optimization: Towards Performance-Enhancing Low-Level Encodings. MoDELS (Companion) 2023: 571-579 - Sang Keun Choe, Sanket Vaibhav Mehta, Hwijeen Ahn, Willie Neiswanger, Pengtao Xie, Emma Strubell, Eric Xing:
Making Scalable Meta Learning Practical. NeurIPS 2023 - Rajshekhar Das, Jonathan Francis, Sanket Vaibhav Mehta, Jean Oh, Emma Strubell, José M. F. Moura:
Regularizing Self-training for Unsupervised Domain Adaptation via Structural Constraints. CoRR abs/2305.00131 (2023) - Jonas Eschle, Tamás Gál, Mosè Giordano
, Philippe Gras, Benedikt Hegner, Lukas Heinrich, Uwe Hernandez Acosta, Stefan Kluth, Jerry (Jiahong) Ling
, Pere Mato, Mikhail Mikhasenko, Alexander Moreno Briceño, Jim Pivarski, Konstantinos Samaras-Tsakiris, Oliver Schulz, Graeme A. Stewart, Jan Strube, Vassil Vassilev:
Potential of the Julia programming language for high energy physics computing. CoRR abs/2306.03675 (2023) - Ji-Ung Lee, Haritz Puerto, Betty van Aken, Yuki Arase, Jessica Zosa Forde, Leon Derczynski, Andreas Rücklé, Iryna Gurevych, Roy Schwartz, Emma Strubell, Jesse Dodge:
Surveying (Dis)Parities and Concerns of Compute Hungry NLP Research. CoRR abs/2306.16900 (2023) - Sang Keun Choe, Sanket Vaibhav Mehta, Hwijeen Ahn, Willie Neiswanger, Pengtao Xie, Emma Strubell, Eric Xing:
Making Scalable Meta Learning Practical. CoRR abs/2310.05674 (2023) - 2022
- Steffen Herbold
, Alexander Trautsch, Benjamin Ledel, Alireza Aghamohammadi, Taher Ahmed Ghaleb, Kuljit Kaur Chahal, Tim Bossenmaier, Bhaveet Nagaria, Philip Makedonski, Matin Nili Ahmadabadi, Kristof Szabados, Helge Spieker
, Matej Madeja, Nathaniel Hoy, Valentina Lenarduzzi, Shangwen Wang
, Gema Rodríguez-Pérez, Ricardo Colomo Palacios, Roberto Verdecchia
, Paramvir Singh, Yihao Qin, Debasish Chakroborti, Willard Davis, Vijay Walunj, Hongjun Wu, Diego Marcilio, Omar Alam, Abdullah Aldaeej
, Idan Amit, Burak Turhan, Simon Eismann, Anna-Katharina Wickert, Ivano Malavolta
, Matús Sulír, Fatemeh H. Fard
, Austin Z. Henley
, Stratos Kourtzanidis, Eray Tuzun, Christoph Treude
, Simin Maleki Shamasbi, Ivan Pashchenko, Marvin Wyrich, James Davis, Alexander Serebrenik
, Ella Albrecht, Ethem Utku Aktas, Daniel Strüber, Johannes Erbel:
A fine-grained data set and analysis of tangling in bug fixing commits. Empir. Softw. Eng. 27(6): 125 (2022) - Sanket Vaibhav Mehta, Jinfeng Rao, Yi Tay, Mihir Kale, Ankur Parikh, Emma Strubell:
Improving Compositional Generalization with Self-Training for Data-to-Text Generation. ACL (1) 2022: 4205-4219 - Clara Na, Sanket Vaibhav Mehta, Emma Strubell:
Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models. EMNLP (Findings) 2022: 4909-4936 - Niels van Harten, Carlos Diego Nascimento Damasceno, Daniel Strüber:
Model-Driven optimization: Generating Smart Mutation Operators for Multi-Objective Problems. SEAA 2022: 390-397 - Clara Na, Sanket Vaibhav Mehta, Emma Strubell:
Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models. CoRR abs/2205.12694 (2022) - Sanket Vaibhav Mehta, Jai Prakash Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork
, Emma Strubell, Donald Metzler:
DSI++: Updating Transformer Memory with New Documents. CoRR abs/2212.09744 (2022) - Dheeru Dua, Emma Strubell, Sameer Singh, Pat Verga:
To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering. CoRR abs/2212.10381 (2022) - Jesse Dodge, Iryna Gurevych, Roy Schwartz, Emma Strubell, Betty van Aken:
Efficient and Equitable Natural Language Processing in the Age of Deep Learning (Dagstuhl Seminar 22232). Dagstuhl Reports 12(6): 14-27 (2022) - 2021
- Lucas Struber, Marie Baumont, Pierre-Alain Barraud, Vincent Nougier, Fabien Cignetti
:
Brain oscillatory correlates of visuomotor adaptive learning. NeuroImage 245: 118645 (2021) - Jan Strube
, Malachi Schram
, Sabiha Rustam, Zachary Kennedy
, Tamás Varga:
Identifying build orientation of 3D-printed materials using convolutional neural networks. Stat. Anal. Data Min. 14(6): 575-582 (2021) - Sanket Vaibhav Mehta, Jinfeng Rao, Yi Tay, Mihir Kale, Ankur Parikh, Hongtao Zhong, Emma Strubell:
Improving Compositional Generalization with Self-Training for Data-to-Text Generation. CoRR abs/2110.08467 (2021) - Sanket Vaibhav Mehta, Darshan Patil, Sarath Chandar, Emma Strubell:
An Empirical Investigation of the Role of Pre-training in Lifelong Learning. CoRR abs/2112.09153 (2021) - 2020
- Viktoria Rätzel, Britta Werthmann, Markus Haas, Jan Strube, Wolfgang Marwan:
Disentangling a complex response in cell reprogramming and probing the Waddington landscape by automatic construction of Petri nets. Biosyst. 189: 104092 (2020) - Edward Kim
, Zach Jensen
, Alexander van Grootel, Kevin Huang, Matthew Staib, Sheshera Mysore
, Haw-Shiuan Chang
, Emma Strubell, Andrew McCallum, Stefanie Jegelka, Elsa Olivetti
:
Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks. J. Chem. Inf. Model. 60(3): 1194-1201 (2020) - Marko Bohanec
, Ivan Vrbanic, Ivica Basic, Klemen Debelak, Luka Strubelj:
A decision-support approach to severe accident management in nuclear power plants. J. Decis. Syst. 29(Supplement): 438-449 (2020) - Qusai Ramadan
, Daniel Strüber
, Mattia Salnitri, Jan Jürjens, Volker Riediger, Steffen Staab
:
A semi-automated BPMN-based framework for detecting conflicts between security, data-minimization, and fairness requirements. Softw. Syst. Model. 19(5): 1191-1227 (2020) - Alex Hagen, Eric Church, Jan Strube
, Kolahal Bhattacharya, Vinay Amatya:
Scaling the training of particle classification on simulated MicroBooNE events to multiple GPUs. CoRR abs/2004.08439 (2020) - Steffen Herbold, Alexander Trautsch, Benjamin Ledel, Alireza Aghamohammadi, Taher Ahmed Ghaleb, Kuljit Kaur Chahal, Tim Bossenmaier, Bhaveet Nagaria, Philip Makedonski, Matin Nili Ahmadabadi, Kristóf Szabados, Helge Spieker, Matej Madeja, Nathaniel Hoy, Valentina Lenarduzzi, Shangwen Wang, Gema Rodríguez-Pérez, Ricardo Colomo Palacios, Roberto Verdecchia, Paramvir Singh, Yihao Qin, Debasish Chakroborti, Willard Davis, Vijay Walunj, Hongjun Wu, Diego Marcilio, Omar Alam, Abdullah Aldaeej, Idan Amit, Burak Turhan, Simon Eismann, Anna-Katharina Wickert, Ivano Malavolta, Matús Sulír, Fatemeh H. Fard, Austin Z. Henley, Stratos Kourtzanidis, Eray Tuzun, Christoph Treude, Simin Maleki Shamasbi
, Ivan Pashchenko, Marvin Wyrich, James Davis, Alexander Serebrenik, Ella Albrecht, Ethem Utku Aktas, Daniel Strüber, Johannes Erbel:
Large-Scale Manual Validation of Bug Fixing Commits: A Fine-grained Analysis of Tangling. CoRR abs/2011.06244 (2020)
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