Seminar: Cleanlab 2.0: Making ML work with messy, real-world data

19th May 2022,
Speaker: Curtis Northcutt,  computer scientist and CEO and co-founder of Cleanlab. Virtual seminar. Please register.
19 May 2022

44th International Conference on Software Engineering (ICSE 2022)

8th - 20th May 2022, virtual event, and 22nd - 28th May 2022, Pittsburgh, USA
8 May 2022
ACL 2022

60th Annual Meeting of the Association for Computational Linguistics – ACL 2022

22nd - 27th May, 2022. Dublin, Ireland. Conference and workshop papers. Silver sponsor. We're hiring!
22 May 2022
1784 building

1784 by NAVER

The world's 1st robot-friendly high-rise office building "1784"  inaugurated April 13th - NAVER's 2nd HQ building in Seongnam, Seoul. 
19 April 2022


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From distillation to hard negative sampling: making sparse neural IR models more effective

Thibault Formal, Carlos Lassance, Benjamin Piwowarski, Stéphane Clinchant

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Madrid, Spain, 11 July, 2022

Exploring tokens in contextualized late interaction over BERT (ColBERT)

Carlos Lassance, Maroua Maachou, Joohee Park, Stéphane Clinchant

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Madrid, Spain, 11 July, 2022

DiPCAN: Distilling Privileged information for Crowd-Aware Navigation

Gianluca Monaci, Michel Aractingi, Tomi Silander

Robotics: Science and Systems (RSS), New Orleans, Louisiana, USA, 27 June - 1 July, 2022

On the road to online adaptation for semantic image segmentation

Riccardo Volpi, Pau De Jorge, Gabriela Csurka Khedari, Diane Larlus

Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, USA, 21-24 June, 2022

On multimodal speech-text pre-trained models

Multimodal pre-training has the potential of being a game changer in spoken language processing. In this blog, we review 3 recent papers on the topic published by Meta, Microsoft (and academic partners) and Google


Deep regression on manifolds: a 3D rotation case study

Theoretical and experimental findings to improve regression applications: a 3D rotation case study. Code.



A novel, plug and play model for human 3D shape estimation of the body or hands, in videos which is trained by mimicking the BERT algorithm from the natural language processing community.



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