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Kate Saenko

18 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author10
  • last author8

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CV15
  • cs.LG2
  • cs.CL1
ORCID 0000-0002-7564-7218
same name
  • Kate Saenko — 83 papers, h 83
  • Kate Saenko — 16 papers, h 7
  • Kate Saenko — 6 papers, h 9
  • Kate Saenko — 2 papers, h 2
  • Kate Saenko — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142023
most citedDeep Domain Confusion: Maximizing for Domain Invariance

2.4k citations · 2.5k across the 18 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021★ 13 cited

Look at What I'm Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos

Reuben Tan, Bryan A. Plummer, Kate Saenko +2

We introduce the task of spatially localizing narrated interactions in videos. Key to our approach is the ability to learn to spatially localize interactions with self-supervision…

cs.LG2021★ 12 cited

Extending the WILDS Benchmark for Unsupervised Adaptation

Shiori Sagawa, Pang Wei Koh, Tony Lee +17

Machine learning systems deployed in the wild are often trained on a source distribution but deployed on a different target distribution. Unlabeled data can be a powerful point of…

cs.CV2021★ 4 cited

Unsupervised Domain Generalization by Learning a Bridge Across Domains

Sivan Harary, Eli Schwartz, Assaf Arbelle +11

The ability to generalize learned representations across significantly different visual domains, such as between real photos, clipart, paintings, and sketches, is a fundamental cap…

cs.CV2021★ 1 cited

Learning to Detect Every Thing in an Open World

Kuniaki Saito, Ping Hu, Trevor Darrell +1

Many open-world applications require the detection of novel objects, yet state-of-the-art object detection and instance segmentation networks do not excel at this task. The key iss…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.