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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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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
24 August 2020
Learning Visual Representations with Caption Annotations

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
21 August 2020
Dope featured image

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.
4 August 2020
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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).

GLOBAL AI R&D BELT

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