Yatin Chaudhary

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 18

Top Topics

Latent Dirichlet Allocation

Language Understanding

Document Classification

Top Venues

EMNLP (Findings)

BioNLP-OST@EMNLP-IJNCLP

Publications

Yatin Chaudhary, Pranav Rai, Matthias Schubert, Hinrich Schütze, Pankaj Gupta
Federated Continual Learning for Text Classification via Selective Inter-client Transfer. EMNLP (Findings) (2022)
Yatin Chaudhary, Pranav Rai, Matthias Schubert, Hinrich Schütze, Pankaj Gupta
Federated Continual Learning for Text Classification via Selective Inter-client Transfer. CoRR (2022)
Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze
Multi-source Neural Topic Modeling in Multi-view Embedding Spaces. CoRR (2021)
Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze
Multi-source Neural Topic Modeling in Multi-view Embedding Spaces. NAACL-HLT (2021)
Yatin Chaudhary, Pankaj Gupta, Khushbu Saxena, Vivek Kulkarni, Thomas A. Runkler, Hinrich Schütze
TopicBERT for Energy Efficient Document Classification. CoRR (2020)
Yatin Chaudhary, Hinrich Schütze, Pankaj Gupta
Explainable and Discourse Topic-aware Neural Language Understanding. ICML (2020)
Yatin Chaudhary, Hinrich Schütze, Pankaj Gupta
Explainable and Discourse Topic-aware Neural Language Understanding. CoRR (2020)
Yatin Chaudhary, Pankaj Gupta, Khushbu Saxena, Vivek Kulkarni, Thomas A. Runkler, Hinrich Schütze
TopicBERT for Energy Efficient Document Classification. EMNLP (Findings) (2020)
Pankaj Gupta, Yatin Chaudhary, Thomas A. Runkler, Hinrich Schütze
Neural Topic Modeling with Continual Lifelong Learning. ICML (2020)
Pankaj Gupta, Yatin Chaudhary, Thomas A. Runkler, Hinrich Schütze
Neural Topic Modeling with Continual Lifelong Learning. CoRR (2020)
Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze
Texttovec: Deep Contextualized Neural autoregressive Topic Models of Language with Distributed Compositional Prior. ICLR (Poster) (2019)
Yatin Chaudhary, Pankaj Gupta, Thomas A. Runkler
Lifelong Neural Topic Learning in Contextualized Autoregressive Topic Models of Language via Informative Transfers. CoRR (2019)
Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze
Document Informed Neural Autoregressive Topic Models with Distributional Prior. AAAI (2019)
Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze
Multi-view and Multi-source Transfers in Neural Topic Modeling with Pretrained Topic and Word Embeddings. CoRR (2019)
Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze
BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions. BioNLP-OST@EMNLP-IJNCLP (2019)
Yatin Chaudhary, Pankaj Gupta, Hinrich Schütze
BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions. CoRR (2019)
Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze
Document Informed Neural Autoregressive Topic Models with Distributional Prior. CoRR (2018)
Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze
textTOvec: Deep Contextualized Neural Autoregressive Models of Language with Distributed Compositional Prior. CoRR (2018)