Sercan Ö. Arik
Orcid: 0000-0001-6333-1729Affiliations:
- Google Cloud AI, Sunnyvale, CA, USA
- Stanford University, Department of Electrical Engineering, CA, USA (PhD 2016)
- Bilkent University, Depertment of Electrical and Electronics Engineering, Ankara, Turkey
According to our database1,
Sercan Ö. Arik
authored at least 94 papers
between 2011 and 2024.
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Bibliography
2024
Trans. Mach. Learn. Res., 2024
Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling.
CoRR, 2024
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models.
CoRR, 2024
CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL.
CoRR, 2024
SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging.
CoRR, 2024
CoRR, 2024
Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization.
CoRR, 2024
CoRR, 2024
Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training.
CoRR, 2024
Effective Large Language Model Adaptation for Improved Grounding and Citation Generation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Trans. Mach. Learn. Res., 2023
Trans. Mach. Learn. Res., 2023
Trans. Mach. Learn. Res., 2023
Trans. Mach. Learn. Res., 2023
EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records.
npj Digit. Medicine, 2023
CoRR, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Trans. Mach. Learn. Res., 2022
Trans. Mach. Learn. Res., 2022
npj Digit. Medicine, 2022
CoRR, 2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan.
npj Digit. Medicine, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
IEEE Signal Process. Lett., 2019
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting.
CoRR, 2019
Attention-Based Prototypical Learning Towards Interpretable, Confident and Robust Deep Neural Networks.
CoRR, 2019
2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
CoRR, 2017
Capacity limits of space-division multiplexed submarine links subject to nonlinearities and power feed constraints.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017
Proceedings of the 2017 19th International Conference on Transparent Optical Networks (ICTON), 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 18th IEEE International Conference on High Performance Switching and Routing, 2017
2015
Proceedings of the 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2015
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2015
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015
2014
MIMO Signal Processing for Mode-Division Multiplexing: An overview of channel models and signal processing architectures.
IEEE Signal Process. Mag., 2014
CoRR, 2014
Comparison of quaternary block-coding and sphere-cutting for high-dimensional modulation.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2014
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2014
2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011