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Publication search results
found 62 matches
- 2024
- Eric Yang Yu, Christopher Liao, Sathvik Ravi, Theodoros Tsiligkaridis, Brian Kulis:
Image-Caption Encoding for Improving Zero-Shot Generalization. CoRR abs/2402.02662 (2024) - Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis:
A Data Centric Approach for Unsupervised Domain Generalization via Retrieval from Web Scale Multimodal Data. CoRR abs/2402.04416 (2024) - Laura Niss, Kevin Vogt-Lowell, Theodoros Tsiligkaridis:
Quantified Task Misalignment to Inform PEFT: An Exploration of Domain Generalization and Catastrophic Forgetting in CLIP. CoRR abs/2402.09613 (2024) - Shanghua Gao, Teddy Koker, Owen Queen, Thomas Hartvigsen, Theodoros Tsiligkaridis, Marinka Zitnik:
UniTS: Building a Unified Time Series Model. CoRR abs/2403.00131 (2024) - 2023
- Kevin Vogt-Lowell, Noah Lee, Theodoros Tsiligkaridis, Marc Vaillant:
Robust Fine-Tuning of Vision-Language Models for Domain Generalization. HPEC 2023: 1-7 - Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, Marinka Zitnik:
Domain Adaptation for Time Series Under Feature and Label Shifts. ICML 2023: 12746-12774 - Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis:
Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization. ICML 2023: 20906-20938 - Theodoros Tsiligkaridis, Athanasios Tsiligkaridis:
Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty Calibration. IJCNN 2023: 1-8 - Owen Queen, Tom Hartvigsen, Teddy Koker, Huan He, Theodoros Tsiligkaridis, Marinka Zitnik:
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency. NeurIPS 2023 - Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, Marinka Zitnik:
Domain Adaptation for Time Series Under Feature and Label Shifts. CoRR abs/2302.03133 (2023) - Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Kate Saenko, Bryan A. Plummer:
ERM++: An Improved Baseline for Domain Generalization. CoRR abs/2304.01973 (2023) - Owen Queen, Thomas Hartvigsen, Teddy Koker, Huan He, Theodoros Tsiligkaridis, Marinka Zitnik:
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency. CoRR abs/2306.02109 (2023) - Kevin Vogt-Lowell, Noah Lee, Theodoros Tsiligkaridis, Marc Vaillant:
Robust Fine-Tuning of Vision-Language Models for Domain Generalization. CoRR abs/2311.02236 (2023) - Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis:
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning. CoRR abs/2311.13612 (2023) - 2022
- Theodoros Tsiligkaridis, Jay Roberts:
Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training. CVPR 2022: 50-59 - Xiang Zhang, Marko Zeman, Theodoros Tsiligkaridis, Marinka Zitnik:
Graph-Guided Network for Irregularly Sampled Multivariate Time Series. ICLR 2022 - Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, Marinka Zitnik:
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency. NeurIPS 2022 - Ryan Soklaski, Michael Yee, Theodoros Tsiligkaridis:
Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration. CoRR abs/2202.12412 (2022) - Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis:
Pick up the PACE: Fast and Simple Domain Adaptation via Ensemble Pseudo-Labeling. CoRR abs/2205.13508 (2022) - Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, Marinka Zitnik:
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency. CoRR abs/2206.08496 (2022) - Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis:
Supervised Metric Learning for Retrieval via Contextual Similarity Optimization. CoRR abs/2210.01908 (2022) - 2021
- Theodoros Tsiligkaridis
:
Information Aware max-norm Dirichlet networks for predictive uncertainty estimation. Neural Networks 135: 105-114 (2021) - Theodoros Tsiligkaridis:
Failure Prediction by Confidence Estimation of Uncertainty-Aware Dirichlet Networks. ICASSP 2021: 3525-3529 - Jay Roberts, Theodoros Tsiligkaridis:
Controllably Sparse Perturbations of Robust Classifiers for Explaining Predictions and Probing Learned Concepts. MLVis@EuroVis 2021: 1-5 - Athanasios Tsiligkaridis, Theodoros Tsiligkaridis:
Misclassification-Aware Gaussian Smoothing improves Robustness against Domain Shifts. CoRR abs/2104.01231 (2021) - Xiang Zhang, Marko Zeman, Theodoros Tsiligkaridis, Marinka Zitnik:
Graph-Guided Network for Irregularly Sampled Multivariate Time Series. CoRR abs/2110.05357 (2021) - 2020
- Theodoros Tsiligkaridis, Jennifer Sloboda:
A Multi-task LSTM Framework for Improved Early Sepsis Prediction. AIME 2020: 49-58 - Theodoros Tsiligkaridis, Jay Roberts:
Second Order Optimization for Adversarial Robustness and Interpretability. CoRR abs/2009.04923 (2020) - Theodoros Tsiligkaridis:
Failure Prediction by Confidence Estimation of Uncertainty-Aware Dirichlet Networks. CoRR abs/2010.09865 (2020) - Jay Roberts, Theodoros Tsiligkaridis:
Ultrasound Diagnosis of COVID-19: Robustness and Explainability. CoRR abs/2012.01145 (2020)
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