60 citations · 279 across the 17 of their papers we have counts for
31 papers
Learnt Sparsification for Interpretable Graph Neural Networks
Mandeep Rathee, Zijian Zhang, Thorben Funke +2
Graph neural networks (GNNs) have achieved great success on various tasks and fields that require relational modeling. GNNs aggregate node features using the graph structure as ind…
BERTnesia: Investigating the capture and forgetting of knowledge in BERT
Jonas Wallat, Jaspreet Singh, Avishek Anand
Probing complex language models has recently revealed several insights into linguistic and semantic patterns found in the learned representations. In this article, we probe BERT sp…
Dissonance Between Human and Machine Understanding
Zijian Zhang, Jaspreet Singh, Ujwal Gadiraju +1
Complex machine learning models are deployed in several critical domains including healthcare and autonomous vehicles nowadays, albeit as functional black boxes. Consequently, ther…
BERTnesia: Investigating the capture and forgetting of knowledge in BERT
Jonas Wallat, Jaspreet Singh, Avishek Anand
Probing complex language models has recently revealed several insights into linguistic and semantic patterns found in the learned representations. In this paper, we probe BERT spec…
Conversational Search -- A Report from Dagstuhl Seminar 19461
Avishek Anand, Lawrence Cavedon, Matthias Hagen +3
Dagstuhl Seminar 19461 "Conversational Search" was held on 10-15 November 2019. 44~researchers in Information Retrieval and Web Search, Natural Language Processing, Human Computer…
Valid Explanations for Learning to Rank Models
Jaspreet Singh, Zhenye Wang, Megha Khosla +1
Learning-to-rank (LTR) is a class of supervised learning techniques that apply to ranking problems dealing with a large number of features. The popularity and widespread applicatio…