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2020 – today
- 2024
[c44]Nadiia Kazakova, Artem Sokolov, Nataliia Balandina:
Dependence of the Algebraic Nonlinearity of 4-Functions of Two Variables from the Cryptographic Properties of Their Component Boolean Functions (short paper). CPITS 2024: 479-484- [i20]Markus Wulfmeier, Michael Bloesch, Nino Vieillard, Arun Ahuja, Jorg Bornschein, Sandy H. Huang, Artem Sokolov, Matt Barnes, Guillaume Desjardins, Alex Bewley, Sarah Maria Elisabeth Bechtle, Jost Tobias Springenberg, Nikola Momchev, Olivier Bachem, Matthieu Geist, Martin A. Riedmiller:
Imitating Language via Scalable Inverse Reinforcement Learning. CoRR abs/2409.01369 (2024) - 2023
- [j11]Maulik K. Nariya, Caitlin E. Mills, Peter K. Sorger, Artem Sokolov
:
Paired evaluation of machine-learning models characterizes effects of confounders and outliers. Patterns 4(8): 100791 (2023) - [j10]Maulik K. Nariya, Caitlin E. Mills, Peter K. Sorger, Artem Sokolov:
Correction: Paired evaluation of machine-learning models characterizes effects of confounders and outliers. Patterns 4(8): 100824 (2023) - [c43]Irina Bejan, Artem Sokolov, Katja Filippova:
Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets. EMNLP 2023: 10107-10121 - [c42]Vladimir Kondratenko, Nikolay Karpov, Artem Sokolov, Nikita Savushkin, Oleg Kutuzov, Fyodor Minkin:
Hybrid Dataset for Speech Emotion Recognition in Russian Language. INTERSPEECH 2023: 4548-4552 - [c41]Rebekka Hubert, Artem Sokolov, Stefan Riezler:
Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic Transcripts. IWSLT@ACL 2023: 89-101 - [i19]Irina Bejan, Artem Sokolov, Katja Filippova:
Make Every Example Count: On Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets. CoRR abs/2302.13959 (2023) - [i18]Rebekka Hubert, Artem Sokolov, Stefan Riezler:
Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic Transcripts. CoRR abs/2307.08426 (2023) - 2022
- [j9]Juan Carlos Vizcarra, Erik A. Burlingame, Clemens B. Hug, Yury Goltsev, Brian S. White, Darren R. Tyson, Artem Sokolov:
A community-based approach to image analysis of cells, tissues and tumors. Comput. Medical Imaging Graph. 95: 102013 (2022) - [j8]Julia Kreutzer, Isaac Caswell, Lisa Wang, Ahsan Wahab, Daan van Esch, Nasanbayar Ulzii-Orshikh, Allahsera Tapo, Nishant Subramani, Artem Sokolov, Claytone Sikasote, Monang Setyawan, Supheakmungkol Sarin, Sokhar Samb, Benoît Sagot, Clara Rivera, Annette Rios, Isabel Papadimitriou, Salomey Osei, Pedro Javier Ortiz Suárez, Iroro Orife, Kelechi Ogueji, Andre Niyongabo Rubungo, Toan Q. Nguyen, Mathias Müller, André Müller, Shamsuddeen Hassan Muhammad, Nanda Muhammad, Ayanda Mnyakeni, Jamshidbek Mirzakhalov, Tapiwanashe Matangira, Colin Leong, Nze Lawson, Sneha Kudugunta, Yacine Jernite, Mathias Jenny, Orhan Firat, Bonaventure F. P. Dossou, Sakhile Dlamini, Nisansa de Silva, Sakine Çabuk Balli, Stella Biderman, Alessia Battisti, Ahmed Baruwa, Ankur Bapna, Pallavi Baljekar, Israel Abebe Azime, Ayodele Awokoya, Duygu Ataman, Orevaoghene Ahia, Oghenefego Ahia, Sweta Agrawal, Mofetoluwa Adeyemi:
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets. Trans. Assoc. Comput. Linguistics 10: 50-72 (2022) - [c40]Andrea Schioppa, Polina Zablotskaia, David Vilar, Artem Sokolov:
Scaling Up Influence Functions. AAAI 2022: 8179-8186 - [c39]Elena Bakunina, Artem Sokolov:
The Pseudorandom Key Sequences Generator Based on IV-Sets of Quaternary Bent-Sequences. CMIS 2022: 144-153 - [e2]Mikolaj P. Karpinski, Piotr Milczarski, Nadiia Kazakova, Serhii Toliupa, Svitlana Kuznichenko, Serhii Yevseiev, Oleksii Fraze-Frazenko, Artem Sokolov:
Proceedings of the 3rd International Conference on Information Security and Information Technologies (ISecIT 2021) co-located with 1st International Forum "Digital Reality" (DRForum 2021), Odessa, Ukraine, September 13-19, 2021. CEUR Workshop Proceedings 3200, CEUR-WS.org 2022 [contents] - 2021
- [c38]Artem Sokolov, Nadiia Kazakova, Lydia Kuzmenko, Mariia Mahomedova:
Prerequisites for Developing a Methodology for Estimating and Increasing Cryptographic Strength based on Many-Valued Logic Functions. CPITS I 2021: 107-116 - [c37]Julia Kreutzer, David Vilar, Artem Sokolov:
Bandits Don't Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits. EMNLP (Findings) 2021: 3190-3204 - [c36]Andrea Schioppa, David Vilar, Artem Sokolov, Katja Filippova:
Controlling Machine Translation for Multiple Attributes with Additive Interventions. EMNLP (1) 2021: 6676-6696 - [c35]Nathaniel Berger, Stefan Riezler, Sebastian Ebert, Artem Sokolov:
Don't Search for a Search Method - Simple Heuristics Suffice for Adversarial Text Attacks. EMNLP (1) 2021: 8216-8224 - [c34]Nadiia Kazakova, Mikolaj P. Karpinski, Artem Sokolov, Tomasz Gancarczyk:
Nonlinearity of Many-Valued Logic Component Functions of Modern Cryptographic Algorithms S-boxes. KES 2021: 2731-2741 - [i17]Isaac Caswell, Julia Kreutzer, Lisa Wang, Ahsan Wahab, Daan van Esch, Nasanbayar Ulzii-Orshikh, Allahsera Tapo, Nishant Subramani, Artem Sokolov, Claytone Sikasote, Monang Setyawan, Supheakmungkol Sarin, Sokhar Samb, Benoît Sagot, Clara Rivera, Annette Rios, Isabel Papadimitriou, Salomey Osei, Pedro Javier Ortiz Suárez, Iroro Orife, Kelechi Ogueji, Rubungo Andre Niyongabo, Toan Q. Nguyen, Mathias Müller, André Müller, Shamsuddeen Hassan Muhammad, Nanda Muhammad, Ayanda Mnyakeni, Jamshidbek Mirzakhalov, Tapiwanashe Matangira, Colin Leong, Nze Lawson, Sneha Kudugunta, Yacine Jernite, Mathias Jenny, Orhan Firat, Bonaventure F. P. Dossou, Sakhile Dlamini, Nisansa de Silva, Sakine Çabuk Balli, Stella Biderman, Alessia Battisti, Ahmed Baruwa, Ankur Bapna, Pallavi Baljekar, Israel Abebe Azime, Ayodele Awokoya, Duygu Ataman, Orevaoghene Ahia, Oghenefego Ahia, Sweta Agrawal, Mofetoluwa Adeyemi:
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets. AfricaNLP 2021 - [i16]Vasiliy Kuzmin, Fyodor Kravchenko, Artem Sokolov, Jie Geng:
Real-time Streaming Wave-U-Net with Temporal Convolutions for Multichannel Speech Enhancement. CoRR abs/2104.01923 (2021) - [i15]Shahin Amiriparian, Artem Sokolov, Ilhan Aslan, Lukas Christ, Maurice Gerczuk, Tobias Hübner, Dmitry Lamanov, Manuel Milling, Sandra Ottl, Ilya Poduremennykh, Evgeniy Shuranov, Björn W. Schuller:
On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era. CoRR abs/2104.10121 (2021) - [i14]Luca Hormann, Artem Sokolov:
Fixing exposure bias with imitation learning needs powerful oracles. CoRR abs/2109.04114 (2021) - [i13]Nathaniel Berger, Stefan Riezler, Artem Sokolov, Sebastian Ebert:
Don't Search for a Search Method - Simple Heuristics Suffice for Adversarial Text Attacks. CoRR abs/2109.07926 (2021) - [i12]Julia Kreutzer, David Vilar, Artem Sokolov:
Bandits Don't Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits. CoRR abs/2110.06997 (2021) - [i11]Andrea Schioppa, Polina Zablotskaia, David Vilar, Artem Sokolov:
Scaling Up Influence Functions. CoRR abs/2112.03052 (2021) - 2020
- [j7]Robert Krüger, Johanna Beyer, Won-Dong Jang, Nam Wook Kim, Artem Sokolov, Peter K. Sorger, Hanspeter Pfister:
Facetto: Combining Unsupervised and Supervised Learning for Hierarchical Phenotype Analysis in Multi-Channel Image Data. IEEE Trans. Vis. Comput. Graph. 26(1): 227-237 (2020) - [c33]Artem Sokolov, Guillaume Wisniewski, François Yvon:
Non-linear n-best List Reranking with Few Features. AMTA 2020 - [c32]Nadiia Kazakova, Artem Sokolov:
Spectral and Nonlinear Properties of the Complete Quaternary Code. CPITS 2020: 76-86 - [c31]Mayumi Ohta, Nathaniel Berger, Artem Sokolov, Stefan Riezler:
Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization. LOD (2) 2020: 39-64 - [i10]Mayumi Ohta, Nathaniel Berger, Artem Sokolov, Stefan Riezler:
Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization. CoRR abs/2006.01759 (2020) - [i9]Artem Sokolov, Andrey V. Savchenko:
Gender domain adaptation for automatic speech recognition task. CoRR abs/2010.04224 (2020)
2010 – 2019
- 2019
- [c30]Artem Sokolov:
Interrelation Between the Class of Bent-Sequences and the Class of Perfect Binary Arrays. CMIS 2019: 339-349 - [c29]Artem Sokolov, Djiofack Temgoua Vanssa Noel:
Nonlinear Properties of Rijndael S-boxes Represented by the Many-Valued Logic Functions. CybHyg 2019: 96-106 - 2018
- [c28]Felix Hieber, Tobias Domhan, Michael J. Denkowski, David Vilar, Artem Sokolov, Ann Clifton, Matt Post:
The Sockeye Neural Machine Translation Toolkit at AMTA 2018. AMTA (1) 2018: 200-207 - [c27]Julia Kreutzer, Artem Sokolov:
Learning to Segment Inputs for NMT Favors Character-Level Processing. IWSLT 2018: 166-172 - [i8]Artem Sokolov, Julian Hitschler, Stefan Riezler:
Sparse Stochastic Zeroth-Order Optimization with an Application to Bandit Structured Prediction. CoRR abs/1806.04458 (2018) - [i7]Julia Kreutzer, Artem Sokolov:
Learning to Segment Inputs for NMT Favors Character-Level Processing. CoRR abs/1810.01480 (2018) - 2017
- [c26]Julia Kreutzer, Artem Sokolov, Stefan Riezler:
Bandit Structured Prediction for Neural Sequence-to-Sequence Learning. ACL (1) 2017: 1503-1513 - [c25]Carolin Lawrence, Artem Sokolov, Stefan Riezler:
Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation. EMNLP 2017: 2566-2576 - [c24]Artem Sokolov, Julia Kreutzer, Kellen Sunderland, Pavel Danchenko, Witold Szymaniak, Hagen Fürstenau, Stefan Riezler:
A Shared Task on Bandit Learning for Machine Translation. WMT 2017: 514-524 - [i6]Julia Kreutzer, Artem Sokolov, Stefan Riezler:
Bandit Structured Prediction for Neural Sequence-to-Sequence Learning. CoRR abs/1704.06497 (2017) - [i5]Artem Sokolov, Julia Kreutzer, Kellen Sunderland, Pavel Danchenko, Witold Szymaniak, Hagen Fürstenau, Stefan Riezler:
A Shared Task on Bandit Learning for Machine Translation. CoRR abs/1707.09050 (2017) - [i4]Carolin Lawrence, Artem Sokolov, Stefan Riezler:
Counterfactual Learning from Bandit Feedback under Deterministic Logging: A Case Study in Statistical Machine Translation. CoRR abs/1707.09118 (2017) - [i3]Felix Hieber, Tobias Domhan, Michael J. Denkowski, David Vilar, Artem Sokolov, Ann Clifton, Matt Post:
Sockeye: A Toolkit for Neural Machine Translation. CoRR abs/1712.05690 (2017) - 2016
- [j6]Artem Sokolov, Daniel E. Carlin, Evan O. Paull, Robert Baertsch, Joshua M. Stuart:
Pathway-Based Genomics Prediction using Generalized Elastic Net. PLoS Comput. Biol. 12(3) (2016) - [c23]Artem Sokolov, Julia Kreutzer, Christopher Lo, Stefan Riezler:
Learning Structured Predictors from Bandit Feedback for Interactive NLP. ACL (1) 2016 - [c22]Vera Boteva, Demian Gholipour Ghalandari, Artem Sokolov, Stefan Riezler:
A Full-Text Learning to Rank Dataset for Medical Information Retrieval. ECIR 2016: 716-722 - [c21]Artem Sokolov, Julia Kreutzer, Stefan Riezler, Christopher Lo:
Stochastic Structured Prediction under Bandit Feedback. NIPS 2016: 1489-1497 - [c20]Artem Sokolov, Evan O. Paull, Joshua M. Stuart:
One-Class Detection of Cell States in Tumor Subtypes. PSB 2016: 405-416 - [i2]Artem Sokolov, Stefan Riezler, Tanguy Urvoy:
Bandit Structured Prediction for Learning from Partial Feedback in Statistical Machine Translation. CoRR abs/1601.04468 (2016) - [i1]Artem Sokolov, Julia Kreutzer, Stefan Riezler:
Stochastic Structured Prediction under Bandit Feedback. CoRR abs/1606.00739 (2016) - 2015
- [c19]Artem Sokolov, Stefan Riezler, Shay B. Cohen:
A Coactive Learning View of Online Structured Prediction in Statistical Machine Translation. CoNLL 2015: 1-11 - [c18]Artem Sokolov, Stefan Riezler, Shay B. Cohen:
Coactive Learning for Interactive Machine Translation. MLIS@ICML 2015: 41-45 - [c17]Artem Sokolov, Stefan Riezler, Tanguy Urvoy:
Bandit structured prediction for learning from partial feedback in statistical machine translation. MTSummit 2015 - 2014
- [c16]Shigehiko Schamoni, Felix Hieber, Artem Sokolov, Stefan Riezler:
Learning Translational and Knowledge-based Similarities from Relevance Rankings for Cross-Language Retrieval. ACL (2) 2014: 488-494 - [c15]Artem Sokolov, Felix Hieber, Stefan Riezler:
Learning to translate queries for CLIR. SIGIR 2014: 1179-1182 - 2013
- [j5]Artem Sokolov, Christopher S. Funk, Kiley Graim, Karin Verspoor, Asa Ben-Hur:
Combining heterogeneous data sources for accurate functional annotation of proteins. BMC Bioinform. 14(S-3): S10 (2013) - [j4]Artem Sokolov, Guillaume Wisniewski, François Yvon:
Lattice BLEU oracles in machine translation. ACM Trans. Speech Lang. Process. 10(4): 18:1-18:29 (2013) - [c14]Artem Sokolov, Laura Jehl, Felix Hieber, Stefan Riezler:
Boosting Cross-Language Retrieval by Learning Bilingual Phrase Associations from Relevance Rankings. EMNLP 2013: 1688-1699 - [c13]Patrick Simianer, Gesa Stupperich, Laura Jehl, Katharina Wäschle, Artem Sokolov, Stefan Riezler:
The HDU Discriminative SMT System for Constrained Data PatentMT at NTCIR10. NTCIR 2013 - 2012
- [j3]Sam Ng, Eric A. Collisson, Artem Sokolov, Theodore Goldstein, Abel Gonzalez-Perez, Núria López-Bigas, Christopher Benz, David Haussler, Joshua M. Stuart:
PARADIGM-SHIFT predicts the function of mutations in multiple cancers using pathway impact analysis. Bioinform. 28(18): 640-646 (2012) - [c12]Artem Sokolov, Guillaume Wisniewski, François Yvon:
Computing Lattice BLEU Oracle Scores for Machine Translation. EACL 2012: 120-129 - [c11]Artem Sokolov:
LIMSI: Learning Semantic Similarity by Selecting Random Word Subsets. SemEval@NAACL-HLT 2012: 543-546 - [c10]Marianna Apidianaki, Guillaume Wisniewski, Artem Sokolov, Aurélien Max, François Yvon:
WSD for n-best reranking and local language modeling in SMT. SSST@ACL 2012: 1-9 - [c9]Hai Son Le, Thomas Lavergne, Alexandre Allauzen, Marianna Apidianaki, Li Gong, Aurélien Max, Artem Sokolov, Guillaume Wisniewski, François Yvon:
LIMSI @ WMT12. WMT@NAACL-HLT 2012: 330-337 - [e1]Tsuyoshi Okita, Artem Sokolov, Taro Watanabe:
Workshop on Monolingual Machine Translation, MonoMT@AMTA 2012, San Diego, California, USA, October 28- November 1, 2012. Association for Machine Translation in the Americas 2012 [contents] - 2011
- [c8]Artem Sokolov, Asa Ben-Hur:
Multi-view prediction of protein function. BCB 2011: 135-142 - [c7]Artem Sokolov, François Yvon:
Minimum Error Rate Training Semiring. EAMT 2011 - [c6]Karim Boudahmane, Bianka Buschbeck, Eunah Cho, Josep Maria Crego, Markus Freitag, Thomas Lavergne, Hermann Ney, Jan Niehues, Stephan Peitz, Jean Senellart, Artem Sokolov, Alex Waibel, Tonio Wandmacher, Joern Wuebker, François Yvon:
Advances on spoken language translation in the Quaero program. IWSLT 2011: 114-120 - [c5]Alexandre Allauzen, Hélène Bonneau-Maynard, Hai Son Le, Aurélien Max, Guillaume Wisniewski, François Yvon, Gilles Adda, Josep Maria Crego, Adrien Lardilleux, Thomas Lavergne, Artem Sokolov:
LIMSI @ WMT11. WMT@EMNLP 2011: 309-315 - 2010
- [j2]Artem Sokolov, Asa Ben-Hur:
Hierarchical Classification of Gene Ontology Terms Using the Gostruct Method. J. Bioinform. Comput. Biol. 8(2): 357-376 (2010)
2000 – 2009
- 2007
- [j1]Artem Sokolov, L. Darrell Whitley, André da Motta Salles Barreto:
A note on the variance of rank-based selection strategies for genetic algorithms and genetic programming. Genet. Program. Evolvable Mach. 8(3): 221-237 (2007) - 2006
- [c4]L. Darrell Whitley, Monte Lunacek, Artem Sokolov:
Comparing the Niches of CMA-ES, CHC and Pattern Search Using Diverse Benchmarks. PPSN 2006: 988-997 - 2005
- [c3]Artem Sokolov, Alodeep Sanyal, L. Darrell Whitley, Yashwant K. Malaiya:
Dynamic power minimization during combinational circuit testing as a traveling salesman problem. Congress on Evolutionary Computation 2005: 1088-1095 - [c2]Artem Sokolov, L. Darrell Whitley:
Unbiased tournament selection. GECCO 2005: 1131-1138 - [c1]Artem Sokolov, L. Darrell Whitley, Monte Lunacek:
Alternative implementations of the Griewangk function. GECCO 2005: 1589-1590
Coauthor Index
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