AI Reading Group @ Unibuc

A reading group on the latest developments in artificial intelligence, machine learning, computer vision, natural language processing and connected domains

Schedule

33. Evolution of Design Generation in the Age of AI: GenAI’s Creative Transformation

32. Curriculum Direct Preference Optimization

31. Self-Rewarding Language Models

30. Cross the Gap: Exposing the intra-modal misalignment in CLIP via modality inversion

29. Multi-Level Feature Distillation of Joint Teachers Trained on Distinct Image Datasets

28. Generative Data Expansion via Diffusion for Clothes-Changing Person Re-ID

27. Rho-1: Not All Tokens Are What You Need

26. Towards Geospatial Foundation Models via Continual Pretraining

25. Rich Human Feedback for Text-to-Image Generation

24. Unsupervised Domain Adaptation of MRI Skull-Stripping 

23. The Psycholinguistics of Large Language Models

22. Methods and benchmarks for low-resource natural language processing

21. Scalable real-time abnormal event detection

20. Current state of Automatic Speech Recognition

19. Retrieval Augmented Generation

18. Large Language Models and Interaction with Tools, Functions and Agents (II)

17. Large Language Models and Interaction with Tools, Functions and Agents (I)

16. Curriculum-Learned Masked Autoencoders

15. Quantifying and Controlling the Effects of Context in Classification and Segmentation

14. Parity Regression

13. Consistency Models

12. Visual Programming: Compositional Visual Reasoning without Training

11. Towards Total Recall in Industrial and Medical Anomaly Detection

10. Deep Introduction to Policy Gradients Methods

9. An Overview of Reinforcement Learning Methods

8. DiffEdit: Diffusion-Based Semantic Image Editing with Mask Guidance

7. A ConvNet for the 2020s

6. MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins

5. Hierarchical Text-Conditional Image Generation with CLIP Latents

4. Realtime Acoustic Echo Cancellation: from Research to Production 

3. Physics-Based Character Control with Reinforcement Learning 

2. Learning Transferable Visual Models From Natural Language Supervision

1. Diffusion Models in Vision

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Regular Members

Radu Tudor Ionescu

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Marius Popescu

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Mariana-Iuliana Georgescu

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Sergiu Nisioi

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Florinel-Alin Croitoru

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Nicolae-Cătălin Ristea

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Antonio Bărbălău

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Elisabeta Oneață

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Ciprian Păduraru

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Alexandra Diaconu

Eduard Poesina

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Ciprian Ceaușescu

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Adrian Iordache