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Taylor Mordan

3 papers · 2017–2021 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+1 more ↓ 🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird ❓ The Questioner
πŸ“ˆ Trend Setter

Venues

NeurIPS (2) CVPR (1)

Top co-authors

Matthieu Cord (2) Nicolas Thome (2) Alexandre Alahi (1) Parth Kothari (1) Thibaut Durand (1) Baptiste Bellot-Gurlet (1) Yuejiang Liu (1) Gilles Henaff (1) Bastien van Delft (1)

Research topics

Machine Learning (3) Learning Types Β· Machine Learning (3) Computer Vision (2) Artificial Intelligence (1) Deep Learning (1) Analysis (1) Application Areas (1) Core Methods (1) Learning Paradigms (1) Learning Types Β· Deep Learning (1) Processing (1)

Keywords

feature alignment (1) contrastive learning (1) semantic segmentation (1) multi-task learning (1) domain adaptation (1) object detection (1) self-supervised learning (1) weakly supervised learning (1) object localization (1) deep learning (1) distribution shift (1) convolutional neural network (1) feature fusion (1) residual connection (1) auxiliary task (1) deep residual learning (1) fully convolutional network (1) depth prediction (1) test-time training (1) visual detection (1)

Papers

TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive? NeurIPS 2021 Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection NeurIPS 2018 WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation CVPR 2017