Witold Wydmanski

According to our database, Witold Wydmanski authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data.

Patryk Marszalek, Tomasz Kusmierczyk, Witold Wydmanski, Jacek Tabor, Marek Smieja

CoRR, May, 2025

GFSNetwork: Differentiable Feature Selection via Gumbel-Sigmoid Relaxation.

Witold Wydmanski, Marek Smieja

CoRR, March, 2025

VisTabNet: Adapting Vision Transformers for Tabular Data.

Witold Wydmanski, Ulvi Movsum-zada, Jacek Tabor, Marek Smieja

Proceedings of the 2025 SIAM International Conference on Data Mining, 2025

2024

Machine Unlearning for Recommendation Systems: An Insight.

Bhavika Sachdeva, Harshita Rathee, Sristi, Arun Sharma, Witold Wydmanski

CoRR, 2024

2023

HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets.

Witold Wydmanski, Oleksii Bulenok, Marek Smieja

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2021

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation.

Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Tanya Goyal, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Paulo Henrique Santos Vasconcellos, Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto Martinez, Aman Srivastava, KV Aditya Srivatsa, Tony Sun, Mukund Varma T., A. Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Zijie J. Wang, Gloria Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmanski, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, Yue Zhang

CoRR, 2021

Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning.

Witold Wydmanski, Szymon Szott

Proceedings of the IEEE Wireless Communications and Networking Conference, 2021