To Offload or Not To Offload: Model-driven Comparison of Edge-native and On-device Processing.
CoRR, April, 2025
Robustness and Invariance in Neural Networks
PhD thesis, 2024
Blind Biological Sequence Denoising with Self-Supervised Set Learning.
Trans. Mach. Learn. Res., 2024
Improving Black-box Robustness with In-Context Rewriting.
CoRR, 2024
Collaborative Inference in Resource-Constrained Edge Networks: Challenges and Opportunities.
Proceedings of the IEEE Military Communications Conference, 2024
Measuring Stochastic Data Complexity with Boltzmann Influence Functions.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
TailClipper: Reducing Tail Response Time of Distributed Services Through System-Wide Scheduling.
Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024
Predicting Out-of-Domain Generalization with Neighborhood Invariance.
Trans. Mach. Learn. Res., 2023
Unlocking Efficiency: Understanding End-to-End Performance in Distributed Analytics Pipelines.
Proceedings of the IEEE Military Communications Conference, 2023
Tuning the Tail Latency of Distributed Queries Using Replication.
CoRR, 2022
Predicting Out-of-Domain Generalization with Local Manifold Smoothness.
CoRR, 2022
If Influence Functions are the Answer, Then What is the Question?
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
A Novel Coupled Reaction-Diffusion System for Explainable Gene Expression Profiling.
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Sensors, 2021
Mobile devices and wearable technology for measuring patient outcomes after surgery: a systematic review.
npj Digit. Medicine, 2021
Sharper bounds for the Chebyshev function θ (x).
Math. Comput., 2021
Improving Dialogue Breakdown Detection with Semi-Supervised Learning.
CoRR, 2020
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Simple and Effective Noisy Channel Modeling for Neural Machine Translation.
CoRR, 2019
Facebook FAIR's WMT19 News Translation Task Submission.
Proceedings of the Fourth Conference on Machine Translation, 2019
fairseq: A Fast, Extensible Toolkit for Sequence Modeling.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Embryo Staging with Weakly-Supervised Region Selection and Dynamically-Decoded Predictions.
Proceedings of the Machine Learning for Healthcare Conference, 2019
FGreat: Focused Graph Query Autocompletion.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
Predicting Embryo Morphokinetics in Videos with Late Fusion Nets & Dynamic Decoders.
Proceedings of the 6th International Conference on Learning Representations, 2018
Answering the Why-Not Questions of Graph Query Autocompletion.
Proceedings of the Database Systems for Advanced Applications, 2018
Predicting Surgery Duration with Neural Heteroscedastic Regression.
Proceedings of the Machine Learning for Health Care Conference, 2017