Sercan Ö. Arik

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling.

[BibT_eX]

[DOI]

Maximillian Chen

Ruoxi Sun

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Provable Membership Inference Privacy.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

SQL-PaLM: Improved large language model adaptation for Text-to-SQL.

[BibT_eX]

[DOI]

Satya Kesav Gundabathula

Trans. Mach. Learn. Res., 2024

ASPEST: Bridging the Gap Between Active Learning and Selective Prediction.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging.

[BibT_eX]

[DOI]

Mohammadreza Pourreza

CoRR, 2024

CROME: Cross-Modal Adapters for Efficient Multimodal LLM.

[BibT_eX]

[DOI]

CoRR, 2024

Learned Feature Importance Scores for Automated Feature Engineering.

[BibT_eX]

[DOI]

CoRR, 2024

Mitigating Object Hallucination via Data Augmented Contrastive Tuning.

[BibT_eX]

[DOI]

CoRR, 2024

Chain of Agents: Large Language Models Collaborating on Long-Context Tasks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Effective Large Language Model Adaptation for Improved Grounding and Citation Generation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Search-Adaptor: Embedding Customization for Information Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Interpretable Mixture of Experts.

[BibT_eX]

[DOI]

Aya Abdelsalam Ismail

Trans. Mach. Learn. Res., 2023

Invariant Structure Learning for Better Generalization and Causal Explainability.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Test-Time Adaptation for Visual Document Understanding.

[BibT_eX]

[DOI]

Sayna Ebrahimi

Trans. Mach. Learn. Res., 2023

TSMixer: An All-MLP Architecture for Time Series Forecast-ing.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records.

[BibT_eX]

[DOI]

Michel J. Mizrahi

Nahid Farhady Ghalaty

npj Digit. Medicine, 2023

Effective Large Language Model Adaptation for Improved Grounding.

[BibT_eX]

[DOI]

CoRR, 2023

COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Search-Adaptor: Text Embedding Customization for Information Retrieval.

[BibT_eX]

[DOI]

CoRR, 2023

PAITS: Pretraining and Augmentation for Irregularly-Sampled Time Series.

[BibT_eX]

[DOI]

CoRR, 2023

Business Metric-Aware Forecasting for Inventory Management.

[BibT_eX]

[DOI]

Helen Zhou

Jingtao Wang

CoRR, 2023

SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL.

[BibT_eX]

[DOI]

CoRR, 2023

LANISTR: Multimodal Learning from Structured and Unstructured Data.

[BibT_eX]

[DOI]

CoRR, 2023

SLM: End-to-end Feature Selection via Sparse Learnable Masks.

[BibT_eX]

[DOI]

Yihe Dong

CoRR, 2023

TSMixer: An all-MLP Architecture for Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2023

Data-Efficient and Interpretable Tabular Anomaly Detection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Universal Self-Adaptive Prompting.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Better Zero-Shot Reasoning with Self-Adaptive Prompting.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Neural Spline Search for Quantile Probabilistic Modeling.

[BibT_eX]

[DOI]

Ruoxi Sun

Chun-Liang Li

Michael W. Dusenberry

Chen-Yu Lee

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Self-supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

LIMIS: Locally Interpretable Modeling using Instance-wise Subsampling.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Algorithmic fairness in pandemic forecasting: lessons from COVID-19.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2022

Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts.

[BibT_eX]

[DOI]

CoRR, 2022

Interpretable Mixture of Experts for Structured Data.

[BibT_eX]

[DOI]

Aya Abdelsalam Ismail

CoRR, 2022

Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series.

[BibT_eX]

[DOI]

Nathanael C. Yoder

CoRR, 2022

Self-Supervised Learning with an Information Maximization Criterion.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Decoupling Local and Global Representations of Time Series.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2021

Self-Trained One-class Classification for Unsupervised Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2021

Controlling Neural Networks with Rule Representations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

TabNet: Attentive Interpretable Tabular Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

ProtoAttend: Attention-Based Prototypical Learning.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2020

Interpretable Sequence Learning for COVID-19 Forecasting.

[BibT_eX]

[DOI]

CoRR, 2020

Explaining Deep Neural Networks using Unsupervised Clustering.

[BibT_eX]

[DOI]

Yu-Han Liu

CoRR, 2020

On Completeness-aware Concept-Based Explanations in Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Interpretable Sequence Learning for Covid-19 Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Data Valuation using Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Distance-Based Learning from Errors for Confidence Calibration.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Consistency-Based Semi-supervised Active Learning: Towards Minimizing Labeling Cost.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Distilling Effective Supervision From Severe Label Noise.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Fast Spectrogram Inversion Using Multi-Head Convolutional Neural Networks.

[BibT_eX]

[DOI]

Heewoo Jun

Gregory Frederick Diamos

IEEE Signal Process. Lett., 2019

Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2019

On Concept-Based Explanations in Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

IEG: Robust Neural Network Training to Tackle Severe Label Noise.

[BibT_eX]

[DOI]

CoRR, 2019

RL-LIM: Reinforcement Learning-based Locally Interpretable Modeling.

[BibT_eX]

[DOI]

CoRR, 2019

Learning to Transfer Learn.

[BibT_eX]

[DOI]

CoRR, 2019

EPNAS: Efficient Progressive Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2019

Attention-Based Prototypical Learning Towards Interpretable, Confident and Robust Deep Neural Networks.

[BibT_eX]

[DOI]

Christian Esteve Rothenberg

CoRR, 2019

2018

Scaling SDM Optical Networks Using Full-Spectrum Spatial Switching.

[BibT_eX]

[DOI]

Alaelson C. Jatoba-Neto

Darli A. A. Mello

JOCN, 2018

Resource-Efficient Neural Architect.

[BibT_eX]

[DOI]

CoRR, 2018

Neural Voice Cloning with a Few Samples.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Deep Voice 3: 2000-Speaker Neural Text-to-Speech.

[BibT_eX]

[DOI]

CoRR, 2017

Low-complexity implementation of convex optimization-based phase retrieval.

[BibT_eX]

[DOI]

CoRR, 2017

Deep Voice: Real-time Neural Text-to-Speech.

[BibT_eX]

[DOI]

CoRR, 2017

Capacity limits of space-division multiplexed submarine links subject to nonlinearities and power feed constraints.

[BibT_eX]

[DOI]

Omar Darwiche Domingues

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2017

Deep Voice 2: Multi-Speaker Neural Text-to-Speech.

[BibT_eX]

[DOI]

Andrew Gibiansky

Gregory Frederick Diamos

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting.

[BibT_eX]

[DOI]

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Optical MIMO signal processing for direct-detection mode-division multiplexing.

[BibT_eX]

[DOI]

Proceedings of the 2017 19th International Conference on Transparent Optical Networks (ICTON), 2017

Deep Voice: Real-time Neural Text-to-Speech.

[BibT_eX]

[DOI]

Christian Esteve Rothenberg

Mike Chrzanowski

Adam Coates

Gregory Frederick Diamos

Proceedings of the 34th International Conference on Machine Learning, 2017

Scaling optical networks using full-spectrum spatial switching.

[BibT_eX]

[DOI]

Alaelson C. Jatoba-Neto

Darli A. A. Mello

Proceedings of the 18th IEEE International Conference on High Performance Switching and Routing, 2017

2015

MIMO channel statistics and signal processing in mode-division multiplexing systems.

[BibT_eX]

[DOI]

Keang-Po Ho

Proceedings of the 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2015

MIMO DSP complexity in mode-division multiplexing.

[BibT_eX]

[DOI]

Daulet Askarov

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2015

Group delay statistics and management in mode-division multiplexing.

[BibT_eX]

[DOI]

Keang-Po Ho

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.

[BibT_eX]

[DOI]

Keang-Po Ho

IEEE Signal Process. Mag., 2014

Supervised classification-based stock prediction and portfolio optimization.

[BibT_eX]

[DOI]

Sukru Burc Eryilmaz

Adam Goldberg

CoRR, 2014

Comparison of quaternary block-coding and sphere-cutting for high-dimensional modulation.

[BibT_eX]

[DOI]

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2014

High-dimensional modulation for mode-division multiplexing.

[BibT_eX]

[DOI]

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2014

2011

Alignment of uncalibrated images for multi-view classification.

[BibT_eX]

[DOI]