2 citations · 5 across the 4 of their papers we have counts for
4 papers
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning
Aaron Mueller, Kanika Narang, Lambert Mathias +2
Large language models show impressive results on few-shot NLP tasks. However, these models are memory and computation-intensive. Meta-training allows one to leverage smaller models…
Measuring Self-Supervised Representation Quality for Downstream Classification using Discriminative Features
Neha Kalibhat, Kanika Narang, Hamed Firooz +2
Self-supervised learning (SSL) has shown impressive results in downstream classification tasks. However, there is limited work in understanding their failure modes and interpreting…
An Induced Multi-Relational Framework for Answer Selection in Community Question Answer Platforms
Kanika Narang, Chaoqi Yang, Adit Krishnan +3
This paper addresses the question of identifying the best candidate answer to a question on Community Question Answer (CQA) forums. The problem is important because Individuals oft…
Discovering Archetypes to Interpret Evolution of Individual Behavior
Kanika Narang, Austin Chung, Hari Sundaram +1
In this paper, we aim to discover archetypical patterns of individual evolution in large social networks. In our work, an archetype comprises of of di…