Generating Comics from 3D Interactive Computer Graphics. - Ariel Shamir; Michael Rubinstein; Tomer Levinboim (IEEE Computer Graphics and Applications, 2006)

Learning and Evaluating Human-Like NPC Behaviors in Dynamic Games. - Yu-Han Chang; Rajiv T. Maheswaran; Tomer Levinboim; Vasudev Rajan (AIIDE, 2011)

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

Supervised Phrase Table Triangulation with Neural Word Embeddings for Low-Resource Languages. - Tomer Levinboim; David Chiang 001 (EMNLP, 2015)

Multi-Task Word Alignment Triangulation for Low-Resource Languages. - Tomer Levinboim; David Chiang 001 (HLT-NAACL, 2015)

Model Invertibility Regularization: Sequence Alignment With or Without Parallel Data. - Tomer Levinboim; Ashish Vaswani; David Chiang 001 (HLT-NAACL, 2015)

Provable Unlinkability Against Traffic Analysis with Low Message Overhead. - Ron Berman; Amos Fiat; Marcin Gomulkiewicz; Marek Klonowski; Miroslaw Kutylowski; Tomer Levinboim; Amnon Ta-Shma (J. Cryptol., 2015)

Incident-Driven Machine Translation and Name Tagging for Low-resource Languages. - Ulf Hermjakob; Qiang Li; Daniel Marcu; Jonathan May; S. J. Mielke; Nima Pourdamghani; Michael Pust; Xing Shi; Kevin Knight; Tomer Levinboim; Kenton Murray; David Chiang 001; et al. (Mach. Transl., 2018)

Informative Image Captioning with External Sources of Information. - Sanqiang Zhao; Piyush Sharma; Tomer Levinboim; Radu Soricut (ACL (1), 2019)

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

Improving Text Generation Evaluation with Batch Centering and Tempered Word Mover Distance. - Xi Chen 071; Nan Ding 002; Tomer Levinboim; Radu Soricut (Eval4NLP, 2020)

Quality Estimation for Image Captions Based on Large-scale Human Evaluations. - Tomer Levinboim; Ashish V. Thapliyal; Piyush Sharma; Radu Soricut (NAACL-HLT, 2021)

Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning. - Nan Ding 002; Xi Chen 071; Tomer Levinboim; Sebastian Goodman; Radu Soricut (NeurIPS, 2021)

PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks. - Nan Ding 002; Xi Chen 071; Tomer Levinboim; Soravit Changpinyo; Radu Soricut (ECCV (34), 2022)

PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks. - Nan Ding 002; Xi Chen 071; Tomer Levinboim; Beer Changpinyo; Radu Soricut (CoRR, 2022)

Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization. - Zifan Wang 001; Nan Ding 002; Tomer Levinboim; Xi Chen 071; Radu Soricut (CVPR, 2023)

CausalLM is not optimal for in-context learning. - Nan Ding 002; Tomer Levinboim; Jialin Wu; Sebastian Goodman; Radu Soricut (ICLR, 2024)