Search Results for author: Hai Pham

Found 7 papers, 3 papers with code

StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer

2 code implementations NAACL 2021 Yiwei Lyu, Paul Pu Liang, Hai Pham, Eduard Hovy, Barnabás Póczos, Ruslan Salakhutdinov, Louis-Philippe Morency

Many of the existing style transfer benchmarks primarily focus on individual high-level semantic changes (e. g. positive to negative), which enable controllability at a high level but do not offer fine-grained control involving sentence structure, emphasis, and content of the sentence.

Style Transfer Text Style Transfer

Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes

1 code implementation NeurIPS 2020 Quang Minh Hoang, Trong Nghia Hoang, Hai Pham, David P. Woodruff

We introduce a new scalable approximation for Gaussian processes with provable guarantees which hold simultaneously over its entire parameter space.

Gaussian Processes

Policy Optimization In the Face of Uncertainty

no code implementations25 Sep 2019 Tung-Long Vuong, Han Nguyen, Hai Pham, Kenneth Tran

Under this framework, the objective function can represented end-to-end as a single computational graph, which allows seamless policy gradient computation via backpropagation through the models.

Continuous Control Model-based Reinforcement Learning

Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities

2 code implementations19 Dec 2018 Hai Pham, Paul Pu Liang, Thomas Manzini, Louis-Philippe Morency, Barnabas Poczos

Our method is based on the key insight that translation from a source to a target modality provides a method of learning joint representations using only the source modality as input.

Machine Translation Multimodal Sentiment Analysis +1

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