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05.12.2023 12:00 am - 05.12.2023 2:00 pm
Visit IDEAS NCBR to hear our researchers talk about their work. Scientists will present posters from conferences such as NeurIPS and ICCV.

Talk to IDEAS NCBR scientists and see what pioneering research in the field of AI looks like!

Next Tuesday, December 5, visit IDEAS NCBR to see posters from conferences in which our researchers have participated this year or will soon participate:

  • NeurIPS 2023 – Neural Information Processing Systems
  • ENLSP 2023 – Efficient Natural Language and Speech Processing (warsztaty w ramach NeurIPS)
  • ICCV 2023 – International Conference on Computer Vision
  • WACV 2024 – Winter Conference on Applications of Computer Vision

Date: December 5, 2023, 12 am – 2 pm

Place: IDEAS NCBR, Warsaw, 69 Chmielna Street

How to join: send us an email at

Number of places is limited.

Posters come from both the main track and workshops of the mentioned conferences. Below is a list of publications (only the IDEAS NCBR affiliation was noted).

NeurIPS 2023:

Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders

Jan Dubiński (IDEAS NCBR), Stanisław Pawlak, Franziska Boenisch, Tomasz Trzciński (IDEAS NCBR), Adam Dziedzic         

The Tunnel Effect: Building Data Representations in Deep Neural Networks

Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani, Razvan Pascanu, Piotr Miłoś (IDEAS NCBR),          Tomasz Trzciński (IDEAS NCBR)       

Focused Transformer: Contrastive Training for Context Scaling

Szymon Tworkowski (IDEAS NCBR), Konrad Staniszewski (IDEAS NCBR), Mikołaj Pacek (IDEAS NCBR),     Yuhuai Wu, Henryk Michalewski, Piotr Miłoś  (IDEAS NCBR)      

Trust Your ∇: Gradient-based Intervention Targeting for Causal Discovery

Mateusz Olko (IDEAS NCBR), Michał Zając, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Łukasz Kuciński (IDEAS NCBR), Piotr Miłoś (IDEAS NCBR)

Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training

Aleksandra Nowak (w IDEAS NCBR podczas prowadzenia badań), Bram Grooten, Decebal Constantin Mocanu, Jacek Tabor 

NeurIPS 2023 workshops:

Revisiting Supervision for Continual Representation Learning

Daniel Marczak, Sebastian Cygert, Tomasz Trzciński, Bartłomiej Twardowski (wszyscy z IDEAS NCBR)  

Augmentation-aware Self-supervised Learning with Guided Projector

Marcin Przewięźlikowski (IDEAS NCBR), Mateusz Pyla (IDEAS NCBR), Bartosz Zieliński (IDEAS NCBR), Bartłomiej Twardowski (IDEAS NCBR), Jacek Tabor, Marek Śmieja

ENLSP 2023:

Exploiting Transformer Activation Sparsity with Dynamic Inference

Mikołaj Piórczyński, Filip Szatkowski (IDEAS NCBR), Klaudia Bałazy, Bartosz Wójcik (IDEAS NCBR)

ICCV 2023:

ICICLE: Interpretable Class Incremental Continual Learning

Dawid Rymarczyk, Joost van de Weijer, Bartosz Zielinski (IDEAS NCBR), Bartłomiej Twardowski (IDEAS NCBR)

ICCV workshops:

AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation

Damian Sójka, Sebastian Cygert, Bartłomiej Twardowski (all IDEAS NCBR)                       

Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning   

Filip Szatkowski, Mateusz Pyla, Marcin Przewięźlikowski, Sebastian Cygert, Bartłomiej Twardowski, Tomasz Trzciński (all IDEAS NCBR)

Looking Through the Past: Better Knowledge Retention for Generative Replay in Continual Learning 

Valeriya Khan, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzciński (all IDEAS NCBR)                     

WACV 2024:

Towards More Realistic Membership Inference Attacks on Large Diffusion Models

Jan Dubiński (IDEAS NCBR), Antoni Kowalczuk, Stanisław Pawlak,Przemysław Rokita, Tomasz Trzciński (IDEAS NCBR), Paweł Morawiecki

Face Identity-Aware Disentanglement in StyleGAN

Adrian Suwała, Bartosz Wójcik (IDEAS NCBR), Magdalena Proszewska, Jacek Tabor, Przemysław Spurek, Marek Śmieja

CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free

Monika Wysoczanska, Michael Ramamonjisoa, Tomasz Trzcinski (IDEAS NCBR), Oriane Simeoni      

Webinars for candidates for doctoral schools and doctoral thesis supervisors
OpenAI Meeting
Neural Fields in Computer Graphics. Lecture by Przemysław Musialski