19:33

Patryk Wielopolski - From Theory to Practice: A Journey with Knowledge Graphs | ML in PL 2024

41:08

Alicja Rączkowska - AlleNoise - classification benchmark with real-world label noise | ML in PL 2024

15:11

Bartłomiej Sobieski - Global Counterfactual Directions | ML in PL 2024

21:49

Tomasz Sapiński - Revolutionizing IT Operations with AI: The Comarch Experience | ML in PL 2024

18:47

Klaudia Balcer - Exceeding Historical Exposure in Session-Based Recommender Systems | ML in PL 2024

19:46

Jan Dubiński - CDI: Copyrighted Data Identification in Diffusion Models | ML in PL 2024

17:23

Adam Pardyl - AdaGlimpse: Active Visual Exploration w/ Arbitrary Glimpse Pos & Scale | ML in PL 2024

17:55

Franziska Boenisch - Finding NeMo: Memorization Neurons in Diffusion Models | ML in PL 2024

19:02

Maciej Chrabąszcz - Aggregated Attributions for Explaining 3D Segmentation Models | ML in PL 2024

25:05

Przemysław Spurek - Neural Rendering: The Future of 3D Modeling | ML in PL 2024

19:22

Kamil Deja - Personalisation of Large-Scale Diffusion Models | ML in PL 2024

52:15

Roberto Calandra - Perceiving, Understanding, and Interacting through Touch | ML in PL 2024

18:40

Bartłomiej Cupiał - Fine-tuning RL Models is a Forgetting Mitigation Problem | ML in PL 2024

18:20

Michał Bortkiewicz - Accelerating Goal-Conditioned RL Algorithms and Research | ML in PL 2024

18:38

France Rose - Uncertainty-Aware Self-Supervised Learning on TS for Animal Behavior | ML in PL 2024

19:43

Krzysztof Maziarz - Fake It Till You Make It: Planning Chemical Syntheses for DD | ML in PL 2024

14:39

Barbara Klaudel - Medical FM - A Unified Dataset for Pretraining Medical Img Models | ML in PL 2024

54:32

Alejandro Frangi - The Potential of AI In-silico Trials in Medical Innovation | ML in PL 2024

50:42

Iryna Gurevych - Towards Real-World Fact-Checking with Large Language Models | ML in PL 2024

01:01:17

Bernardino Romera Paredes - Evolving Programs with LLMs | ML in PL 2024

16:57

Klaudia Bałazy - Efficient FT of LLMs: Exploring PEFT Methods and LORA-XS Insights | ML in PL 2024

17:48

Natasha Al-Khatib - How LLMs Are Revolutionising the Cybersecurity Field | ML in PL 2024

35:23

Yuki Asano - Improving Foundation Models (with Academic Compute) | ML in PL 2024

49:53

Lucas Beyer - Computer Vision in the Age of LLMs | ML in PL 2024

19:54

Gianmario Spacagna - The Impact Of Modern Large Language Models In The Edtech Industry | ML in PL 23

20:52

Konrad Cop - ML Without Proper Data in Advanced Robotic Navigation | ML in PL 23

19:08

Jan Mielniczuk - Double Logistic Regression Approach to Biased Positive-Unlabeled Data | ML in PL 23

49:48

Edoardo M. Ponti - Planning And Learning in Structured Environments | ML in PL 23

23:08

Kacper Łodzikowski - What AI Developers Need To Know About AI Governance | ML in PL 23

20:11

Omar Rivasplata - Semi-Supervised Batch Learning From Logged Data | ML in PL 23

19:38

Bartosz Zieliński - Sustainable Computer Vision For Autonomus Machines | ML in PL 23

18:50

Adam Zadrożny - First Full Report On The State Of AI Adoption in Law | ML in PL 23

17:18

Patryk Wielopolski - Treeflow: A Novel Tree-Based Approach For Flexible Regression Modeling|MLinPL23

39:37

Katerina Stankova - Game Theory Empowered by Data Science and Machine Learning | ML in PL 23

26:00

Volodymyr Saviak-Hewlett Packard Enterprise Tools for the AI/ML Development & Training | ML in PL 23

16:16

Błażej Osiński - Toward Efficient Machine Learning For Sequential Decision Making | ML in PL 23

18:58

Adam Polak - The Story Of Explainable Clustering | ML in PL 23

15:20

Michał Nowicki - Multi-Model Mobile Robot Localization | ML in PL 23

47:11

Gergely Neu - Importance-Weighted Offline Learning Done Right | ML in PL 23

51:50

Jiri Matas - Neural Network Deployment | ML in PL 23

18:58

Sneha Jha - Memory Optimization for Finetuning Models | ML in PL 23

01:02

ML in PL Conference 2023 Aftermovie [short version]

18:25

Charles O'Neill - Steering Language Generation | ML in PL 23

17:59

Piotr Rybak - The State Of Polish Semantic Search In The Era Of LLMs | ML in PL 23

21:34

Paulina Tomaszewska - Deep Spatial Context - Digital Pathology | ML in PL 23

20:45

Maciej Wiatrak - Fighting Antibiotic Resistance With Deep Learning | ML in PL 23

33:22

Maciej Wysocki-The Future Is Now: Embracing Allegro Transactional Data For Risk Modeling|ML in PL 23

15:50

Bartosz Ptak - Enhancing Lunar Robotics Rover Through Deep Learning And Edge AI | ML in PL 23

59:09

Philippe Preux - Bits of Reinforcement Learning | ML in PL 23

12:04

Piotr Płoński - Create user interface for machine learning models directly from python notebook

16:32

Maja Jabłońska-Unlocking scientific discoveries with large language models in astronomy|ML in PL 23

17:09

Piotr Januszewski - Mastering MLops at a reasonable scale at allegro | ML in PL 23

44:51

Jane Dwivedi Yu - Teaching Language models to use tools | ML in PL 23

24:15

Grzegorz Jacenków-Privacy distillation:reducing reidentification risk of multimodal diffusion models

20:06

Kamil Deja - Diffusion models - what we already can and yet can't generate | ML in PL 23

19:48

Michał Jamroż - Class fitting in residual convolutional networks | ML in PL 23

19:39

Sebastian Cygert - Toward continually learning models | ML in PL 23

50:09

Desmond Elliot - Language modelling with pixels | ML in PL 23

22:03

Jan Dubiński - Bucks for buckets (b4b): active defenses against stealing encoders | ML in PL 23

23:23

Adam Dziedzic - Privacy for large language models | ML in PL 23