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researcher

Mengye Ren

New York University

49 papers hereh-index 328.4k citations59 works total

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

author position
  • first author11
  • middle author29
  • last author8

Across the 48 of 49 papers where every author was matched, so the position is known.

fields
  • cs.LG20
  • cs.CV19
  • cs.RO5
  • cs.CL3
  • cs.AI1
  • stat.ML1
affiliations
  • New York University
Homepage
same name
  • Mengye Ren — 7 papers, h 3
  • Mengye Ren — 7 papers, h 2
  • Mengye Ren — 6 papers, 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
20152025
most citedLearning to Reweight Examples for Robust Deep Learning

841 citations · 2.6k across the 48 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CV2019★ 16 cited

Identifying Unknown Instances for Autonomous Driving

Kelvin Wong, Shenlong Wang, Mengye Ren +2

In the past few years, we have seen great progress in perception algorithms, particular through the use of deep learning. However, most existing approaches focus on a few categorie…

cs.RO2019

Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles

Abbas Sadat, Mengye Ren, Andrei Pokrovsky +3

The motion planners used in self-driving vehicles need to generate trajectories that are safe, comfortable, and obey the traffic rules. This is usually achieved by two modules: beh…

cs.LG2019★ 2 cited

Learning to Remember from a Multi-Task Teacher

Yuwen Xiong, Mengye Ren, Raquel Urtasun

Recent studies on catastrophic forgetting during sequential learning typically focus on fixing the accuracy of the predictions for a previously learned task. In this paper we argue…

cs.CV2019★ 14 cited

Deformable Filter Convolution for Point Cloud Reasoning

Yuwen Xiong, Mengye Ren, Renjie Liao +2

Point clouds are the native output of many real-world 3D sensors. To borrow the success of 2D convolutional network architectures, a majority of popular 3D perception models voxeli…

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