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Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS) 2020

7th - 9th September 2020, Pisa, Italy Vassilissa Lehoux, Christelle Loiodice: Faster preprocessing for the Trip-Based Public Transit Routing algorithm
7 September 2020
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14th ACM Conference on Recommender Systems (RecSys 2020)

22nd - 26th September 2020
Papers we're presenting at this year's conference. NAVER and NAVER LABS Europe are Gold sponsors of RecSys 2020.  
22 September 2020
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Seminar: Causal Algorithmic Fairness and Transparency

30th September 2020
Speaker: Babak Salimi, Assistant Professor, University of California, San Diego, USA Virtual seminar. Please register.
30 September 2020
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Blog: DOPE: distillation of part experts for whole-body 3D pose estimation in the wild

A novel efficient model for whole-body 3D pose estimation (including bodies, hands and faces), that is trained by mimicking the output of hand-, body- and face-pose experts.
21 August 2020

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RECENT PUBLICATIONS

Adaptive Pointwise-Pairwise Learning-to-Rank for Content-based Personalized Recommendation

Yagmur Gizem Cinar, Jean-Michel Renders
ACM Conference on Recommender Systems (RecSys), virtual event, 22-26 September, 2020

Faster preprocessing for the Trip-Based Public Transit Routing algorithm

Vassilissa Lehoux, Christelle Loiodice
Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS), Pisa, Italy, 7-9 September 2020

Guided Exploration of User Groups

Mariia Seleznova, Bernard Omidvar-Tehrani, Sihem Amer-Yahia, Eric Simon
46th International Conference on Very Large Data Bases (VLDB), Tokyo, Japan, 31 August-4 September, 2020

Point-Of-Interest Categorisation: Towards Putting the Human Back in the Loop

Nikolaos Lagos, Jose Miguel Pérez-Álvarez, Adrian Mos
1st Workshop on Data Science with Human-in-the-loop (DaSH), co-located with the Knowledge Discovery and Data Mining conference (KDD) 2020, San Diego, USA (virtual event), 24 August, 2020
BLOG
24 August 2020
Learning Visual Representations with Caption Annotations
- 24 August 2020

Learning Visual Representations with Caption Annotations

How mid-size sets of captioned images can rival with large-scale labelled image sets to learn generic representations
Do you like it?
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21 August 2020
Dope featured image
- 21 August 2020

DOPE: distillation of part experts for whole-body 3D pose estimation in the wild

A novel efficient model for whole-body 3D pose estimation (including bodies, hands and faces), that is trained by mimicking the output of hand-, body- and face-pose experts.
Do you like it?
Read more
4 August 2020
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, Amartya Sanyal, Harkirat Behl, Philip Torr, , Puneet Dokania - 4 August 2020

FORCE enables extreme pruning of artificial neural networks at initialization.

A new method called FORCE achieves extreme sparsity in artificial neural networks by progressively removing up to 99.9% of parameters at initialization, making it a promising candidate for training networks on edge devices (like drones or smartphones).
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