research
∙
05/30/2023
Universality and Limitations of Prompt Tuning
Despite the demonstrated empirical efficacy of prompt tuning to adapt a ...
share
research
∙
06/25/2022
Multi-Variate Time Series Forecasting on Variable Subsets
We formulate a new inference task in the domain of multivariate time ser...
research
∙
05/02/2022
BERTops: Studying BERT Representations under a Topological Lens
Proposing scoring functions to effectively understand, analyze and learn...
research
∙
10/25/2021
A Probabilistic Framework for Knowledge Graph Data Augmentation
We present NNMFAug, a probabilistic framework to perform data augmentati...
research
∙
06/13/2021
Target Model Agnostic Adversarial Attacks with Query Budgets on Language Understanding Models
Despite significant improvements in natural language understanding model...
research
∙
05/19/2020
Learning Representations using Spectral-Biased Random Walks on Graphs
Several state-of-the-art neural graph embedding methods are based on sho...
research
∙
02/27/2020
Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures
We propose to study the problem of few shot graph classification in grap...
research
∙
06/04/2019
