textTOvec: Deep Contextualized Neural Autoregressive Models of Language with Distributed Compositional Prior. - Pankaj Gupta 003; Yatin Chaudhary; Florian Buettner 001; Hinrich Schütze (CoRR, 2018)

Document Informed Neural Autoregressive Topic Models with Distributional Prior. - Pankaj Gupta 003; Yatin Chaudhary; Florian Buettner 001; Hinrich Schütze (AAAI, 2019)

BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions. - Pankaj Gupta 003; Yatin Chaudhary; Hinrich Schütze (BioNLP-OST@EMNLP-IJNCLP, 2019)

Texttovec: Deep Contextualized Neural autoregressive Topic Models of Language with Distributed Compositional Prior. - Pankaj Gupta 003; Yatin Chaudhary; Florian Buettner 001; Hinrich Schütze (ICLR (Poster), 2019)

Multi-view and Multi-source Transfers in Neural Topic Modeling with Pretrained Topic and Word Embeddings. - Pankaj Gupta 003; Yatin Chaudhary; Hinrich Schütze (CoRR, 2019)

Lifelong Neural Topic Learning in Contextualized Autoregressive Topic Models of Language via Informative Transfers. - Yatin Chaudhary; Pankaj Gupta 003; Thomas A. Runkler (CoRR, 2019)

TopicBERT for Energy Efficient Document Classification. - Yatin Chaudhary; Pankaj Gupta 003; Khushbu Saxena; Vivek Kulkarni; Thomas A. Runkler; Hinrich Schütze (EMNLP (Findings), 2020)

Explainable and Discourse Topic-aware Neural Language Understanding. - Yatin Chaudhary; Hinrich Schütze; Pankaj Gupta 003 (ICML, 2020)

Neural Topic Modeling with Continual Lifelong Learning. - Pankaj Gupta 003; Yatin Chaudhary; Thomas A. Runkler; Hinrich Schütze (ICML, 2020)

Multi-source Neural Topic Modeling in Multi-view Embedding Spaces. - Pankaj Gupta 003; Yatin Chaudhary; Hinrich Schütze (NAACL-HLT, 2021)

Federated Continual Learning for Text Classification via Selective Inter-client Transfer. - Yatin Chaudhary; Pranav Rai; Matthias Schubert; Hinrich Schütze; Pankaj Gupta 003 (EMNLP (Findings), 2022)