Multiscale Visual-Attribute Co-Attention for Zero-Shot Image Recognition.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Learning in the Open World: Techniques for Identifying and Adapting to the Unknown.
PhD thesis, 2023
Everyone Deserves A Reward: Learning Customized Human Preferences.
CoRR, 2023
OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Estimating Total Correlation with Mutual Information Estimators.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Collaborative Anomaly Detection.
CoRR, 2022
Learning to Weight Filter Groups for Robust Classification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Open World Classification with Adaptive Negative Samples.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Variational Inference with Holder Bounds.
CoRR, 2021
Weakly supervised cross-domain alignment with optimal transport.
CoRR, 2020
Regularizing Reasons for Outfit Evaluation with Gradient Penalty.
CoRR, 2020
Semantic Matching via Optimal Partial Transport.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Advancing weakly supervised cross-domain alignment with optimal transport.
Proceedings of the 31st British Machine Vision Conference 2020, 2020
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
On Fenchel Mini-Max Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Variational Annealing of GANs: A Langevin Perspective.
Proceedings of the 36th International Conference on Machine Learning, 2019
GO Gradient for Expectation-Based Objectives.
Proceedings of the 7th International Conference on Learning Representations, 2019
Adversarial Learning of a Sampler Based on an Unnormalized Distribution.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019