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Metric-FreeIndividualFairnessinOnlineLearning

Neural Information Processing Systems

Unlikepriorworkon individual fairness, we do not assume the similarity measure among individuals is known, nor do we assume that such measure takes a certain parametric form.



TAP-Vid: ABenchmarkforTrackingAnyPointina Video

Neural Information Processing Systems

Centraltotheconstruction of our benchmark is a novel semi-automatic crowdsourced pipeline which uses optical flow estimates to compensate for easier, short-term motion like camera shake,allowing annotators tofocus onharder sections ofvideo.