Search Results for author: Tianxiao Shen

Found 12 papers, 6 papers with code

Generating Sequences by Learning to Self-Correct

no code implementations31 Oct 2022 Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi

Sequence generation applications require satisfying semantic constraints, such as ensuring that programs are correct, using certain keywords, or avoiding undesirable content.

Language Modelling Program Synthesis

Controlling Directions Orthogonal to a Classifier

1 code implementation ICLR 2022 Yilun Xu, Hao He, Tianxiao Shen, Tommi Jaakkola

We propose to identify directions invariant to a given classifier so that these directions can be controlled in tasks such as style transfer.

Domain Adaptation Fairness +1

Text Style Transfer with Confounders

no code implementations29 Sep 2021 Tianxiao Shen, Regina Barzilay, Tommi S. Jaakkola

Existing methods for style transfer operate either with paired sentences or distributionally matched corpora which differ only in the desired style.

Style Transfer Text Style Transfer

Blank Language Models

1 code implementation EMNLP 2020 Tianxiao Shen, Victor Quach, Regina Barzilay, Tommi Jaakkola

We propose Blank Language Model (BLM), a model that generates sequences by dynamically creating and filling in blanks.

Ancient Text Restoration Language Modelling +1

Denoising Improves Latent Space Geometry in Text Autoencoders

no code implementations25 Sep 2019 Tianxiao Shen, Jonas Mueller, Regina Barzilay, Tommi Jaakkola

Neural language models have recently shown impressive gains in unconditional text generation, but controllable generation and manipulation of text remain challenging.

Denoising Sentence +1

Educating Text Autoencoders: Latent Representation Guidance via Denoising

3 code implementations ICML 2020 Tianxiao Shen, Jonas Mueller, Regina Barzilay, Tommi Jaakkola

We prove that this simple modification guides the latent space geometry of the resulting model by encouraging the encoder to map similar texts to similar latent representations.

Denoising Sentence +2

Style Transfer from Non-Parallel Text by Cross-Alignment

12 code implementations NeurIPS 2017 Tianxiao Shen, Tao Lei, Regina Barzilay, Tommi Jaakkola

We demonstrate the effectiveness of this cross-alignment method on three tasks: sentiment modification, decipherment of word substitution ciphers, and recovery of word order.

Decipherment Machine Translation +3

Cannot find the paper you are looking for? You can Submit a new open access paper.