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Posts by Collection
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publications
On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation
Published in WNGT (workshop), 2019
This paper uses an information-theoretic framework to study an effect of the rate and distortion on text generation.
Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Space
Published in AAAI, 2019
In this paper we use knowledge graphs to learn representations for rare and out-of-vocabulary words.
Generating knowledge graph paths from textual definitions using sequence-to-sequence models
Published in NAACL, 2019
This paper we propose a sequence-to-sequence model that grounds sentence meaning in a knowledge graph.
Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets
Published in RepL4NLP (workshop), 2021
This paper uses the existing disentanglement VAE models to study the challenges of disentanglement for text.
Learning Sparse Sentence Encoding without Supervision: An Exploration of Sparsity in Variational Autoencoders
Published in RepL4NLP (workshop), 2021
This paper presents a novel VAE model with sparse latent representations for text representation and generation.
StrAE: Autoencoding for Pre-Trained Embeddings using Explicit Structure
Published in EMNLP, 2023
This paper investigates how explicit structure affects embedding quality.
Autoencoding Conditional Neural Processes for Representation Learning
Published in ICML, 2024
In this paper we develop the Partial Pixel Space Variational Autoencoder that casts Conditional Neural Process (CNP) context as latent variables learnt simultaneously with the CNP.
talks
Talk 1 on Relevant Topic in Your Field
Published:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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