2024
Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs.
CoRR, 2024
Predicting Uncertainty of Generative LLMs with MARS: Meaning-Aware Response Scoring.
Proceedings of the IEEE International Symposium on Information Theory, 2024
DiNADO: Norm-Disentangled Neurally-Decomposed Oracles for Controlling Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024
MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Calibration and Uncertainty in Neural Time-to-Event Modeling.
IEEE Trans. Neural Networks Learn. Syst., April, 2023
On Compositionality and Improved Training of NADO.
CoRR, 2023
Unsupervised Melody-to-Lyric Generation.
CoRR, 2023
Unsupervised Melody-Guided Lyrics Generation.
CoRR, 2023
PLACES: Prompting Language Models for Social Conversation Synthesis.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
Unsupervised Melody-to-Lyrics Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Weakly Supervised Data Augmentation Through Prompting for Dialogue Understanding.
CoRR, 2022
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Gradient Importance Learning for Incomplete Observations.
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
Finite-Time Consensus Learning for Decentralized Optimization with Nonlinear Gossiping.
CoRR, 2021
Variational Inference with Holder Bounds.
CoRR, 2021
Imputation-Free Learning from Incomplete Observations.
CoRR, 2021
Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE.
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CoRR, 2021
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization.
CoRR, 2021
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Multi-Grained Knowledge Distillation for Named Entity Recognition.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
APo-VAE: Text Generation in Hyperbolic Space.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Counterfactual Representation Learning with Balancing Weights.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Variational Disentanglement for Rare Event Modeling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models.
CoRR, 2020
Supercharging Imbalanced Data Learning With Causal Representation Transfer.
CoRR, 2020
Double Robust Representation Learning for Counterfactual Prediction.
CoRR, 2020
Weakly supervised cross-domain alignment with optimal transport.
CoRR, 2020
Reconsidering Generative Objectives For Counterfactual Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Improving Text Generation with Student-Forcing Optimal Transport.
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Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Variational learning of individual survival distributions.
Proceedings of the ACM CHIL '20: ACM Conference on Health, 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
2019
Survival Function Matching for Calibrated Time-to-Event Predictions.
CoRR, 2019
Improving Textual Network Learning with Variational Homophilic Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
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
Improving Sequence-to-Sequence Learning via Optimal Transport.
Proceedings of the 7th International Conference on Learning Representations, 2019
Improving Textual Network Embedding with Global Attention via Optimal Transport.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
Adversarial Text Generation via Feature-Mover's Distance.
CoRR, 2018
Adversarial Text Generation via Feature-Mover's Distance.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Chi-square Generative Adversarial Network.
Proceedings of the 35th International Conference on Machine Learning, 2018
Variational Inference and Model Selection with Generalized Evidence Bounds.
Proceedings of the 35th International Conference on Machine Learning, 2018
Adversarial Time-to-Event Modeling.
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications.
NeuroImage, 2017
Canonical kernel dimension reduction.
Comput. Stat. Data Anal., 2017
2014
Reconstruction of Excitatory Neuronal Connectivity via Metric Score Pooling and Regularization.
Proceedings of the Neural Connectomics Workshop at ECML 2014, 2014