Doctoral Consortium

The Doctoral Consortium will take place in conjunction with the International Conference on Deep Learning Theory and Applications (DeLTA). The doctoral consortium will provide an opportunity for graduate students to explore their research interests in an interdisciplinary workshop, under the guidance of a panel of distinguished experts in the field.

The Doctoral Consortium on deep learning theory and applications is intended to bring together Ph.D. students within the deep learning theory and applications field to discuss their research in an international forum. More precisely, the Doctoral Consortium will provide students with an opportunity to:
- Present their research work in a relaxed and supportive environment;
- Receive feedback and suggestions from peers and experienced faculty members;
- Gain an overview of the breadth and depth of deep learning theory and applications;
- Obtain insight into directions for deep learning theory and applications research taken by other doctoral candidates;
- Discuss concerns about research, supervision, the job market, and other issues;
- Network with peers and future colleagues

Thus, the symposium will help shape ongoing and future research projects aimed at deep learning theory and applications, will promote scholarship and networking among new researchers in this emerging interdisciplinary area, and will expose these promising young researchers to the larger global community.

Important Deadlines