Victor Prokhorov

According to our database, Victor Prokhorov authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Autoencoding Conditional Neural Processes for Representation Learning.

Victor Prokhorov, Ivan Titov, N. Siddharth

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

StrAE: Autoencoding for Pre-Trained Embeddings using Explicit Structure.

Mattia Opper, Victor Prokhorov, Siddharth Narayanaswamy

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021

Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets.

Lan Zhang, Victor Prokhorov, Ehsan Shareghi

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

Learning Sparse Sentence Encoding without Supervision: An Exploration of Sparsity in Variational Autoencoders.

Victor Prokhorov, Yingzhen Li, Ehsan Shareghi, Nigel Collier

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

2020

Hierarchical Sparse Variational Autoencoder for Text Encoding.

Victor Prokhorov, Yingzhen Li, Ehsan Shareghi, Nigel Collier

CoRR, 2020

2019

Generating Knowledge Graph Paths from Textual Definitions using Sequence-to-Sequence Models.

Victor Prokhorov, Mohammad Taher Pilehvar, Nigel Collier

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation.

Victor Prokhorov, Ehsan Shareghi, Yingzhen Li, Mohammad Taher Pilehvar, Nigel Collier

Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, 2019

Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces.

Victor Prokhorov, Mohammad Taher Pilehvar, Dimitri Kartsaklis, Pietro Liò, Nigel Collier

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Card-660: Cambridge Rare Word Dataset - a Reliable Benchmark for Infrequent Word Representation Models.

Mohammad Taher Pilehvar, Dimitri Kartsaklis, Victor Prokhorov, Nigel Collier

CoRR, 2018

Card-660: A Reliable Evaluation Framework for Rare Word Representation Models.

Mohammad Taher Pilehvar, Dimitri Kartsaklis, Victor Prokhorov, Nigel Collier

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Learning Rare Word Representations using Semantic Bridging.

Victor Prokhorov, Mohammad Taher Pilehvar, Dimitri Kartsaklis, Pietro Liò, Nigel Collier

CoRR, 2017