235 citations
- University of Illinois Urbana-ChampaignUS22 papers
- National Center for Supercomputing ApplicationsUS10 papers
- Georgia Institute of TechnologyUS3 papers
- Illinois CollegeUS2 papers
- Microsoft (United States)US2 papers
- Princeton UniversityUS2 papers
- The University of Texas at AustinUS2 papers
- University of WashingtonUS2 papers
- Adobe Systems (United States)US1 paper
- Alphabet (United States)US1 paper
- California Southern UniversityUS1 paper
- California University of PennsylvaniaUS1 paper
13 papers · 1 filter
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels
Yihan Jiang, Hyeji Kim, Himanshu Asnani +3
Designing codes that combat the noise in a communication medium has remained a significant area of research in information theory as well as wireless communications. Asymptotically…
TAB-VCR: Tags and Attributes based Visual Commonsense Reasoning Baselines
Jingxiang Lin, Unnat Jain, Alexander G. Schwing
Reasoning is an important ability that we learn from a very early age. Yet, reasoning is extremely hard for algorithms. Despite impressive recent progress that has been reported on…
PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space
Omer Anjum, Hongyu Gong, Suma Bhat +2
Finding the right reviewers to assess the quality of conference submissions is a time consuming process for conference organizers. Given the importance of this step, various automa…
Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems
Shalmali Joshi, Oluwasanmi Koyejo, Warut Vijitbenjaronk +2
Machine learning based decision making systems are increasingly affecting humans. An individual can suffer an undesirable outcome under such decision making systems (e.g. denied cr…
Partially Linear Additive Gaussian Graphical Models
Sinong Geng, Minhao Yan, Mladen Kolar +1
We propose a partially linear additive Gaussian graphical model (PLA-GGM) for the estimation of associations between random variables distorted by observed confounders. Model param…
Multi-Frequency Vector Diffusion Maps
Yifeng Fan, Zhizhen Zhao
We introduce multi-frequency vector diffusion maps (MFVDM), a new framework for organizing and analyzing high dimensional datasets. The new method is a mathematical and algorithmic…