Baykal, Cenk

7 publications

NeurIPS 2023 Alternating Updates for Efficient Transformers Cenk Baykal, Dylan Cutler, Nishanth Dikkala, Nikhil Ghosh, Rina Panigrahy, Xin Wang

ICLR 2023 Robust Active Distillation Cenk Baykal, Khoa Trinh, Fotis Iliopoulos, Gaurav Menghani, Erik Vee

NeurIPS 2023 SLAM: Student-Label Mixing for Distillation with Unlabeled Examples Vasilis Kontonis, Fotis Iliopoulos, Khoa Trinh, Cenk Baykal, Gaurav Menghani, Erik Vee

NeurIPS 2022 A Theoretical View on Sparsely Activated Networks Cenk Baykal, Nishanth Dikkala, Rina Panigrahy, Cyrus Rashtchian, Xin Wang

NeurIPS 2022 Weighted Distillation with Unlabeled Examples Fotis Iliopoulos, Vasilis Kontonis, Cenk Baykal, Gaurav Menghani, Khoa Trinh, Erik Vee

ICLR 2020 Provable Filter Pruning for Efficient Neural Networks Lucas Liebenwein, Cenk Baykal, Harry Lang, Dan Feldman, Daniela Rus

ICLR 2019 Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus