DeMIAN: Deep Modality Invariant Adversarial Network. - Kuniaki Saito; Yusuke Mukuta; Yoshitaka Ushiku; Tatsuya Harada (CoRR, 2016)

Spatio-Temporal Person Retrieval via Natural Language Queries. - Masataka Yamaguchi; Kuniaki Saito; Yoshitaka Ushiku; Tatsuya Harada (ICCV, 2017)

Deep Modality Invariant Adversarial Network for Shared Representation Learning. - Tatsuya Harada; Kuniaki Saito; Yusuke Mukuta; Yoshitaka Ushiku (ICCV Workshops, 2017)

DualNet: Domain-invariant network for visual question answering. - Kuniaki Saito; Andrew Shin; Yoshitaka Ushiku; Tatsuya Harada (ICME, 2017)

Asymmetric Tri-training for Unsupervised Domain Adaptation. - Kuniaki Saito; Yoshitaka Ushiku; Tatsuya Harada (ICML, 2017)

Melody Generation for Pop Music via Word Representation of Musical Properties. - Andrew Shin; Léopold Crestel; Hiroharu Kato; Kuniaki Saito; Katsunori Ohnishi; Masataka Yamaguchi; Masahiro Nakawaki; Yoshitaka Ushiku; Tatsuya Harada (CoRR, 2017)

Maximum Classifier Discrepancy for Unsupervised Domain Adaptation. - Kuniaki Saito; Kohei Watanabe; Yoshitaka Ushiku; Tatsuya Harada (CVPR, 2018)

Generalized Bayesian Canonical Correlation Analysis with Missing Modalities. - Toshihiko Matsuura; Kuniaki Saito; Yoshitaka Ushiku; Tatsuya Harada (ECCV Workshops (6), 2018)

Open Set Domain Adaptation by Backpropagation. - Kuniaki Saito; Shohei Yamamoto; Yoshitaka Ushiku; Tatsuya Harada (ECCV (5), 2018)

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation. - Kohei Watanabe; Kuniaki Saito; Yoshitaka Ushiku; Tatsuya Harada (ECCV Workshops (5), 2018)

Adversarial Dropout Regularization. - Kuniaki Saito; Yoshitaka Ushiku; Tatsuya Harada; Kate Saenko (ICLR (Poster), 2018)

Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation. - Xingchao Peng; Ben Usman; Kuniaki Saito; Neela Kaushik; Judy Hoffman; Kate Saenko (CoRR, 2018)

TWINs: Two Weighted Inconsistency-reduced Networks for Partial Domain Adaptation. - Toshihiko Matsuura; Kuniaki Saito; Tatsuya Harada (CoRR, 2018)

Strong-Weak Distribution Alignment for Adaptive Object Detection. - Kuniaki Saito; Yoshitaka Ushiku; Tatsuya Harada; Kate Saenko (CVPR, 2019)

Semi-Supervised Domain Adaptation via Minimax Entropy. - Kuniaki Saito; Donghyun Kim 006; Stan Sclaroff; Trevor Darrell; Kate Saenko (ICCV, 2019)

MULE: Multimodal Universal Language Embedding. - Donghyun Kim 006; Kuniaki Saito; Kate Saenko; Stan Sclaroff; Bryan A. Plummer (AAAI, 2020)

COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder. - Kuniaki Saito; Kate Saenko; Ming-Yu Liu 001 (ECCV (3), 2020)

Universal Domain Adaptation through Self Supervision. - Kuniaki Saito; Donghyun Kim 006; Stan Sclaroff; Kate Saenko (NeurIPS, 2020)

Multiplanar analysis for pulmonary nodule classification in CT images using deep convolutional neural network and generative adversarial networks. - Yuya Onishi; Atsushi Teramoto; Masakazu Tsujimoto; Tetsuya Tsukamoto; Kuniaki Saito; Hiroshi Toyama; Kazuyoshi Imaizumi; Hiroshi Fujita 001 (Int. J. Comput. Assist. Radiol. Surg., 2020)

Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels. - Donghyun Kim 006; Kuniaki Saito; Tae-Hyun Oh; Bryan A. Plummer; Stan Sclaroff; Kate Saenko (CoRR, 2020)

Self-supervised Visual Attribute Learning for Fashion Compatibility. - Donghyun Kim 006; Kuniaki Saito; Kate Saenko; Stan Sclaroff; Bryan A. Plummer (CoRR, 2020)

CDS: Cross-Domain Self-supervised Pre-training. - Donghyun Kim 006; Kuniaki Saito; Tae-Hyun Oh; Bryan A. Plummer; Stan Sclaroff; Kate Saenko (ICCV, 2021)

Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density. - Kuniaki Saito; Donghyun Kim 006; Piotr Teterwak; Stan Sclaroff; Trevor Darrell; Kate Saenko (ICCV, 2021)

OVANet: One-vs-All Network for Universal Domain Adaptation. - Kuniaki Saito; Kate Saenko (ICCV, 2021)

Self-supervised Visual Attribute Learning for Fashion Compatibility. - Donghyun Kim 006; Kuniaki Saito; Samarth Mishra; Stan Sclaroff; Kate Saenko; Bryan A. Plummer (ICCVW, 2021)

Weakly Supervised Domain Adaptation using Super-pixel labeling for Semantic Segmentation. - Masaki Yamazaki; Xingchao Peng; Kuniaki Saito; Ping Hu 001; Kate Saenko; Yasuhiro Taniguchi (MVA, 2021)

VisDA-2021 Competition: Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. - Dina Bashkirova; Dan Hendrycks; Donghyun Kim 006; Haojin Liao; Samarth Mishra; Chandramouli Rajagopalan; Kate Saenko; Kuniaki Saito; Burhan Ul Tayyab; Piotr Teterwak; Ben Usman (NeurIPS (Competition and Demos), 2021)

OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization. - Kuniaki Saito; Donghyun Kim 006; Kate Saenko (NeurIPS, 2021)

Synthetic CT image generation of shape-controlled lung cancer using semi-conditional InfoGAN and its applicability for type classification. - Ryo Toda; Atsushi Teramoto; Masakazu Tsujimoto; Hiroshi Toyama; Kazuyoshi Imaizumi; Kuniaki Saito; Hiroshi Fujita 001 (Int. J. Comput. Assist. Radiol. Surg., 2021)

OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers. - Kuniaki Saito; Donghyun Kim 006; Kate Saenko (CoRR, 2021)

VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. - Dina Bashkirova; Dan Hendrycks; Donghyun Kim 006; Samarth Mishra; Kate Saenko; Kuniaki Saito; Piotr Teterwak; Ben Usman (CoRR, 2021)

Learning to Detect Every Thing in an Open World. - Kuniaki Saito; Ping Hu 001; Trevor Darrell; Kate Saenko (ECCV (24), 2022)

Prefix Conditioning Unifies Language and Label Supervision. - Kuniaki Saito; Kihyuk Sohn; Xiang Zhang; Chun-Liang Li; Chen-Yu Lee; Kate Saenko; Tomas Pfister (CVPR, 2023)

Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval. - Kuniaki Saito; Kihyuk Sohn; Xiang Zhang; Chun-Liang Li; Chen-Yu Lee; Kate Saenko; Tomas Pfister (CVPR, 2023)

Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection. - Kuniaki Saito; Donghyun Kim 006; Piotr Teterwak; Rogério Feris; Kate Saenko (CoRR, 2023)

Weak-to-Strong Compositional Learning from Generative Models for Language-Based Object Detection. - Kwanyong Park; Kuniaki Saito; Donghyun Kim (ECCV (23), 2024)

Unsupervised LLM Adaptation for Question Answering. - Kuniaki Saito; Kihyuk Sohn; Chen-Yu Lee; Yoshitaka Ushiku (CoRR, 2024)

SBS Figures: Pre-training Figure QA from Stage-by-Stage Synthesized Images. - Risa Shinoda; Kuniaki Saito; Shohei Tanaka; Tosho Hirasawa; Yoshitaka Ushiku (CoRR, 2024)

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

Where is the answer? An empirical study of positional bias for parametric knowledge extraction in language model. - Kuniaki Saito; Chen-Yu Lee; Kihyuk Sohn; Yoshitaka Ushiku (NAACL (Long Papers), 2025)

CRNLI: A Textual Entailment Dataset in the Chemistry Domain. - Chenhao Chen; Taiga Masuda; Yoshitaka Ushiku; Shohei Tanaka; Kuniaki Saito; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (TSD (2), 2025)

ERM++: An Improved Baseline for Domain Generalization. - Piotr Teterwak; Kuniaki Saito; Theodoros Tsiligkaridis; Kate Saenko; Bryan A. Plummer (WACV, 2025)

CaptionSmiths: Flexibly Controlling Language Pattern in Image Captioning. - Kuniaki Saito; Donghyun Kim; Kwanyong Park; Atsushi Hashimoto 001; Yoshitaka Ushiku (CoRR, 2025)