Seminarium "Uczenie maszynowe"

22 czerwca 2023 12:15
Jakub Świątkowski (Uniwersytet Warszawski, Amazon)
Cross-lingual Prosody Transfer for Expressive Machine Dubbing
In this seminar, I will present our two papers on cross-lingual prosody transfer for machine dubbing accepted to INTERSPEECH 2023. Prosody transfer is well-studied in the context of expressive speech synthesis. Cross-lingual prosody transfer, however, is …

15 czerwca 2023 12:15
Gracjan Góral (Uniwersytet Warszawski)
Language Models in Question Answering Tests - Sematic, Syntax
The seminar will be devoted to the role of language models in question-answering tests and highlights recent advancements in the field. We delve into the challenge faced by these models – their struggle with question …

1 czerwca 2023 12:15
Konrad Staniszewski (Uniwersytet Warszawski)
Retrieval Augmented Language Models
Large language models store their knowledge in parameters and require costly fine-tuning to update. An interesting alternative is to provide new knowledge in the model's context. However, typical models have relatively short context lengths. In …

25 maja 2023 12:15
Mateusz Olko (Uniwersytet Warszawski)
Causal Machine Learning: Introduction
Causality has the potential to transform the way we solve a large number of real-world problems. This mathematical theory, introduced by Judea Pearl, has recently paved its way into the deep learning community. In my …

18 maja 2023 12:15
Dominik Filipiak
Semi-Supervised Instance Segmentation with Mutual Learning and Pseudo-Label Thresholding
We present Polite Teacher, a simple yet effective method for the task of semi-supervised instance segmentation. The proposed architecture relies on the Teacher-Student mutual learning framework. To filter out noisy pseudo-labels, we use confidence thresholding …

20 kwietnia 2023 12:15
Hubert Baniecki (Uniwersytet Warszawski)
Segment Anything
Hubert will talk about a very recent paper that has impressive instance segmentation results. https://arxiv.org/abs/2304.02643

13 kwietnia 2023 12:15
Mohammad Saqib (Uniwersytet Warszawski)
Protein secondary structure assignments using ML
Researchers seek to understand computer-generated protein models by identifying their structural components. Categorizing amino acid residues as Helix, Strand, or Coil types is the process used for this identification. This categorization can be challenging if …

30 marca 2023 12:15
Michał Zawalski
Reinforcement learning with latent representations
 When working with complex high-dimensional objects, it is usually beneficial to translate them into compact low-dimensional forms. In my talk, I will discuss some successful approaches that learn meaningful representations for efficient reinforcement learning.  

19 stycznia 2023 12:15
Michal Nauman (Uniwersytet Warszawski)
All-Action Policy Gradients
In this talk, we will discuss policy gradients with many action samples. We will investigate decompositions of policy gradient variance, as well as measure the variance reduction effect stemming form increasing the number of state …

8 grudnia 2022 12:15
Spyros Mouselinos (Uniwersytet Warszawski)
A Simple, Yet Effective Approach to Finding Biases in Code Generation
Recently, scores of high-performing code generation systems have surfaced. As has become a popular choice in many domains, code generation is often approached using large language models as a core, trained under the masked or …

3 listopada 2022 12:15
Piotr Tempczyk (Uniwersytet Warszawski)
One Simple Trick to Fix Your Bayesian Neural Network
One of the most popular estimation methods in Bayesian neural networks (BNN) is mean-field variational inference (MFVI). In this work, we show that neural networks with ReLU activation function induce posteriors, that are hard to …

27 października 2022 13:15
Patrik Reizinger (University of Tübingen)
Embrace the Gap: VAEs Perform Independent Mechanism Analysis
Variational autoencoders (VAEs) are a popular framework for modeling complex data distributions; they can be efficiently trained via variational inference by maximizing the evidence lower bound (ELBO), at the expense of a gap to the …

9 czerwca 2022 12:15
Shadi Shafighi (Uniwersytet Warszawski)
Tumoroscope: a probabilistic graphical model for mapping tumor clones in cancerous tissue
Tumor cell populations are highly heterogeneous and form clones with different genotypes. Geographically distinct parts of the tumor have different genetic and phenotypic compositions. Elucidating tumor heterogeneity is hampered by the fact that there is no technology available that would …

2 czerwca 2022 12:15
Sebastian Jaszczur (Uniwerystet Warszawski)
Conditional Computation in Transformers
Note: seminar will be in person with a follow-up lunch.   Transformer architecture is widely used in Natural Language Processing to get state of the art results. Unfortunately, such model quality is usually only possible …

26 maja 2022 12:15
Nabil Kahouadji (Northeastern Illinois University)
Chicago structural violence and its effects on predicting colorectal adenoma in patients receiving colonoscopy
In our retrospective study, we evaluate associations between neighborhood-level indicators of structural violence and colorectal adenoma using University of  Illinois Health electronic medical record (EMR) data obtained from patients receiving screening colonoscopy between the year …