output
20092026
most citedInterpretable machine learning: definitions, methods, and applications

2.2k citations

Showing 2021Show all

6 papers · 1 filter

cs.IT2021★ 3 cited

Can Information Flows Suggest Targets for Interventions in Neural Circuits?

Praveen Venkatesh, Sanghamitra Dutta, Neil Mehta +1

Motivated by neuroscientific and clinical applications, we empirically examine whether observational measures of information flow can suggest interventions. We do so by performing…

cs.CV2021★ 13 cited

Understanding the computational demands underlying visual reasoning

Mohit Vaishnav, Remi Cadene, Andrea Alamia +3

Visual understanding requires comprehending complex visual relations between objects within a scene. Here, we seek to characterize the computational demands for abstract visual rea…

q-bio.CB2021★ 133 cited

Cell types and ontologies of the Human Cell Atlas

David Osumi-Sutherland, Chuan Xu, Maria Keays +4

Massive single-cell profiling efforts have accelerated our discovery of the cellular composition of the human body, while at the same time raising the need to formalise this new kn…

cs.CV2021★ 3 cited

Tracking Without Re-recognition in Humans and Machines

Drew Linsley, Girik Malik, Junkyung Kim +3

Imagine trying to track one particular fruitfly in a swarm of hundreds. Higher biological visual systems have evolved to track moving objects by relying on both appearance and moti…

nlin.AO2021★ 6 cited

KuraNet: Systems of Coupled Oscillators that Learn to Synchronize

Matthew Ricci, Minju Jung, Yuwei Zhang +3

Networks of coupled oscillators are some of the most studied objects in the theory of dynamical systems. Two important areas of current interest are the study of synchrony in highl…

cs.CV2021★ 67 cited

Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering

Corentin Dancette, Remi Cadene, Damien Teney +1

We introduce an evaluation methodology for visual question answering (VQA) to better diagnose cases of shortcut learning. These cases happen when a model exploits spurious statisti…