During the day of the WiML Un-Workshop @ ICML 2022 there will be three different Breakout Sessions. We list the sessions, topics, and leaders.

BreakoutGhoshehBreakout Session #1 (9.10AM - 10.10AM)

• IN-PERSON Breakout Sessions

  • • Machine learning real-time applications in health. Leader: Dania Humaidan, Co-leader: Cansu Sen.

• VIRTUAL Breakout Sessions

  • • Deep Generative Models for Electronic Health Records. Leader: Ghadeer Ghosheh, Co-leader: Tingting Zhu.

    • Affective Computing: A Computational Perspective. Leader: Shreya Ghosh, Co-lead: Garima Sharma.

    • Introducing geometry awareness in deep networks. Leader: Ankita Shukla.

Breakout Session #2 (11.05AM - 12.05AM)

• IN-PERSON Breakout Sessions

  • • Challenges and opportunities in certified auditing of ML models. Leader: Chhavi Yadav.

    • Robustness of Deep Learning Models to Distribution Shift. Leader: Polina Kirichenko, Co-leads: Shiori Sagawa, Sanae Lofti.

• VIRTUAL Breakout Sessions

  • • Knowledge Distillation through the lense of the capacity gap problem. Leader: Ibtihel Amara, Co-lead: Samrudhdhi Rangrej, Zahra Vaseqi.

    • Improving AI Education. Leader: Mary Smart, Co-lead: Stefania Druga.

    • Statistical Inference & Applications to Machine Learning. Leader: Lilian Wong, Co-lead: Po-ling Loh.

Breakout Session #3 (15.25 - 16.25)

• IN-PERSON Breakout Sessions

  • • Robustness of Machine Learning. Leader: Yao Qin

    • Towards efficient and robust deep learning training. Leader: Wenhan Xia.

• VIRTUAL Breakout Sessions

  • • Machine Learning for Physical Sciences. Leader: Taoli Cheng.

    • Limitations of explainable/interpretable AI: frontiers and boundaries for future advancement. Leader: Haoyu Du, Co-lead: Peiyuan Zhou, Annie Lee, Rainah Khan.

    • Detection of Unseen Classes of different Domains using Computer Vision. Leader: Asra Aslam.