output
20022026
most citedStealing Machine Learning Models via Prediction APIs

733 citations

Showing 2021Show all

8 papers · 1 filter

cs.CV2021

VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks

Yi-Lin Sung, Jaemin Cho, Mohit Bansal

Recently, fine-tuning language models pre-trained on large text corpora have provided huge improvements on vision-and-language (V&L) tasks as well as on pure language tasks. Howeve…

physics.optics2021★ 195 cited

Roadmap on Wavefront Shaping and deep imaging in complex media

Sylvain Gigan, Ori Katz, Hilton B. de Aguiar +42

The last decade has seen the development of a wide set of tools, such as wavefront shaping, computational or fundamental methods, that allow to understand and control light propaga…

astro-ph.HE2021

SOAR/Goodman Spectroscopic Assessment of Candidate Counterparts of the LIGO-Virgo Event GW190814

Douglas Tucker, Matthew Wiesner, Sahar Allam +140

On 2019 August 14 at 21:10:39 UTC, the LIGO/Virgo Collaboration (LVC) detected a possible neutron star-black hole merger (NSBH), the first ever identified. An extensive search for…

cs.HC2021★ 5 cited

Enabling Longitudinal Exploratory Analysis of Clinical COVID Data

David Borland, Irena Brain, Karamarie Fecho +5

As the COVID-19 pandemic continues to impact the world, data is being gathered and analyzed to better understand the disease. Recognizing the potential for visual analytics technol…

cs.CL2021

ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective Feedback

Shiyue Zhang, Benjamin Frey, Mohit Bansal

We introduce ChrEnTranslate, an online machine translation demonstration system for translation between English and an endangered language Cherokee. It supports both statistical an…

astro-ph.IM2021★ 40 cited

Low-Cost Access to the Deep, High-Cadence Sky: the Argus Optical Array

Nicholas M. Law, Hank Corbett, Nathan W. Galliher +16

New mass-produced, wide-field, small-aperture telescopes have the potential to revolutionize ground-based astronomy by greatly reducing the cost of collecting area. In this paper,…

cs.LG2021

Partially Observed Exchangeable Modeling

Yang Li, Junier B. Oliva

Modeling dependencies among features is fundamental for many machine learning tasks. Although there are often multiple related instances that may be leveraged to inform conditional…

cs.CL2021★ 190 cited

Unifying Vision-and-Language Tasks via Text Generation

Jaemin Cho, Jie Lei, Hao Tan +1

Existing methods for vision-and-language learning typically require designing task-specific architectures and objectives for each task. For example, a multi-label answer classifier…