Levinboim, Tomer

6 publications

ICLR 2024 CausalLM Is Not Optimal for In-Context Learning Nan Ding, Tomer Levinboim, Jialin Wu, Sebastian Goodman, Radu Soricut

CVPR 2023 Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization Zifan Wang, Nan Ding, Tomer Levinboim, Xi Chen, Radu Soricut

ECCV 2022 PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks Nan Ding, Xi Chen, Tomer Levinboim, Soravit Changpinyo, Radu Soricut

NeurIPS 2021 Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning Nan Ding, Xi Chen, Tomer Levinboim, Sebastian Goodman, Radu Soricut

AAAI 2020 Reinforcing an Image Caption Generator Using Off-Line Human Feedback Paul Hongsuck Seo, Piyush Sharma, Tomer Levinboim, Bohyung Han, Radu Soricut

AAAI 2012 Learning the Kernel Matrix with Low-Rank Multiplicative Shaping Tomer Levinboim, Fei Sha