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20152026
most citedUnderstanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners

36 citations · 240 across the 46 of their papers we have counts for

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cs.LG2023

Active Learning-Based Species Range Estimation

Christian Lange, Elijah Cole, Grant Van Horn +1

We propose a new active learning approach for efficiently estimating the geographic range of a species from a limited number of on the ground observations. We model the range of an…

cs.LG2023★ 10 cited

Spatial Implicit Neural Representations for Global-Scale Species Mapping

Elijah Cole, Grant Van Horn, Christian Lange +5

Estimating the geographical range of a species from sparse observations is a challenging and important geospatial prediction problem. Given a set of locations where a species has b…

cs.LG2023★ 3 cited

Self-Supervised Multimodal Learning: A Survey

Yongshuo Zong, Oisin Mac Aodha, Timothy Hospedales

Multimodal learning, which aims to understand and analyze information from multiple modalities, has achieved substantial progress in the supervised regime in recent years. However,…

cs.LG2018★ 36 cited

Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners

Yuxin Chen, Adish Singla, Oisin Mac Aodha +2

In real-world applications of education, an effective teacher adaptively chooses the next example to teach based on the learner's current state. However, most existing work in algo…

cs.LG2017★ 1 cited

Context Embedding Networks

Kun Ho Kim, Oisin Mac Aodha, Pietro Perona

Low dimensional embeddings that capture the main variations of interest in collections of data are important for many applications. One way to construct these embeddings is to acqu…