Saurabh Garg

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

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Bibliography

2023
TiC-CLIP: Continual Training of CLIP Models.
CoRR, 2023

(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets.
Proceedings of the International Conference on Machine Learning, 2023

RLSbench: Domain Adaptation Under Relaxed Label Shift.
Proceedings of the International Conference on Machine Learning, 2023

Disentangling the Mechanisms Behind Implicit Regularization in SGD.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Deconstructing Distributions: A Pointwise Framework of Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Downstream Datasets Make Surprisingly Good Pretraining Corpora.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Unsupervised Learning under Latent Label Shift.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Characterizing Datapoints via Second-Split Forgetting.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Domain Adaptation under Open Set Label Shift.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Leveraging unlabeled data to predict out-of-distribution performance.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Mixture Proportion Estimation and PU Learning: A Modern Approach.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fingerprint Scroll: Comparison of Touchless and Touch-Based Scroll Navigation Methods.
Proceedings of the Human-Computer Interaction - INTERACT 2021 - 18th IFIP TC 13 International Conference, Bari, Italy, August 30, 2021

On Proximal Policy Optimization's Heavy-tailed Gradients.
Proceedings of the 38th International Conference on Machine Learning, 2021

RATT: Leveraging Unlabeled Data to Guarantee Generalization.
Proceedings of the 38th International Conference on Machine Learning, 2021

Comparison of Touch and Touchless Zoom Control Methods for Single-Handed Mobile Interaction.
Proceedings of the Advances in Human Factors and System Interactions, 2021

2020
A Unified View of Label Shift Estimation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2015
A testbed for SCADA cyber security and intrusion detection.
Proceedings of the International Conference on Cyber Security of Smart Cities, 2015

2004
AGenDA: gene prediction by cross-species sequence comparison.
Nucleic Acids Res., 2004

Issues in Corpus Development for Multi-party Multi-modal Task-oriented Dialogue.
Proceedings of the Fourth International Conference on Language Resources and Evaluation, 2004

Evaluation of Transcription and Annotation Tools for a Multi-modal, Multi-party Dialogue Corpus.
Proceedings of the Fourth International Conference on Language Resources and Evaluation, 2004

2003
AGenDA: homology-based gene prediction.
Bioinform., 2003


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