6 citations · 8 across the 4 of their papers we have counts for
4 papers
Robustness to Label Noise Depends on the Shape of the Noise Distribution in Feature Space
Diane Oyen, Michal Kucer, Nick Hengartner +1
Machine learning classifiers have been demonstrated, both empirically and theoretically, to be robust to label noise under certain conditions -- notably the typical assumption is t…
Analysis on Image Set Visual Question Answering
Abhinav Khattar, Aviral Joshi, Har Simrat Singh +2
We tackle the challenge of Visual Question Answering in multi-image setting for the ISVQA dataset. Traditional VQA tasks have focused on a single-image setting where the target ans…
Zero-Shot Language Transfer vs Iterative Back Translation for Unsupervised Machine Translation
Aviral Joshi, Chengzhi Huang, Har Simrat Singh
This work focuses on comparing different solutions for machine translation on low resource language pairs, namely, with zero-shot transfer learning and unsupervised machine transla…
Lexically-constrained Text Generation through Commonsense Knowledge Extraction and Injection
Yikang Li, Pulkit Goel, Varsha Kuppur Rajendra +5
Conditional text generation has been a challenging task that is yet to see human-level performance from state-of-the-art models. In this work, we specifically focus on the Commonge…