Tsiligkaridis, Theodoros

17 publications

WACV 2025 ERM++: An Improved Baseline for Domain Generalization Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Kate Saenko, Bryan Plummer

WACV 2025 Image-Caption Encoding for Improving Zero-Shot Generalization Eric Yu, Christopher Liao, Sathvik Ravi, Theodoros Tsiligkaridis, Brian Kulis

ICLR 2025 Is Large-Scale Pretraining the Secret to Good Domain Generalization? Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Bryan A. Plummer, Kate Saenko

ICLR 2025 Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap Christopher Liao, Christian So, Theodoros Tsiligkaridis, Brian Kulis

ICCV 2025 The Inter-Intra Modal Measure: A Predictive Lens on Fine-Tuning Outcomes in Vision-Language Models Laura Niss, Kevin Vogt-Lowell, Theodoros Tsiligkaridis

CVPR 2024 Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-Shot Learning Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis

NeurIPS 2024 UniTS: A Unified Multi-Task Time Series Model Shanghua Gao, Teddy Koker, Owen Queen, Thomas Hartvigsen, Theodoros Tsiligkaridis, Marinka Zitnik

ICML 2023 Domain Adaptation for Time Series Under Feature and Label Shifts Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, Marinka Zitnik

NeurIPS 2023 Encoding Time-Series Explanations Through Self-Supervised Model Behavior Consistency Owen Queen, Tom Hartvigsen, Teddy Koker, Huan He, Theodoros Tsiligkaridis, Marinka Zitnik

ICML 2023 Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis

ICLR 2022 Graph-Guided Network for Irregularly Sampled Multivariate Time Series Xiang Zhang, Marko Zeman, Theodoros Tsiligkaridis, Marinka Zitnik

NeurIPS 2022 Self-Supervised Contrastive Pre-Training for Time Series via Time-Frequency Consistency Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, Marinka Zitnik

CVPR 2022 Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training Theodoros Tsiligkaridis, Jay Roberts

NeurIPSW 2021 Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration Ryan Soklaski, Michael Yee, Theodoros Tsiligkaridis

ICMLW 2021 On Frank-Wolfe Adversarial Training Theodoros Tsiligkaridis, Jay Roberts

NeurIPS 2015 Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models Theodoros Tsiligkaridis, Theodoros Tsiligkaridis, Keith Forsythe

NeurIPS 2015 Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models Theodoros Tsiligkaridis, Theodoros Tsiligkaridis, Keith Forsythe