Mohit Bansal 个人学术档案 - 学术资源搜索

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引用	25143	22791
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Hao TanAdobe Research在 adobe.com 的电子邮件经过验证
Jie Lei 雷杰Research Scientist, Meta AI在 fb.com 的电子邮件经过验证
Ramakanth PasunuruFAIR at Meta在 fb.com 的电子邮件经过验证
Tamara L BergAssociate Professor, Computer Science, UNC Chapel Hill在 cs.unc.edu 的电子邮件经过验证
Jaemin ChoPhD Student at UNC Chapel Hill在 cs.unc.edu 的电子邮件经过验证
Peter HasePhD Student, University of North Carolina at Chapel Hill在 cs.unc.edu 的电子邮件经过验证
Yixin NieMeta, UNC Chapel Hill在 meta.com 的电子邮件经过验证
Licheng Yu 虞立成Research Scientist and Manager, Facebook AI在 fb.com 的电子邮件经过验证
Kevin GimpelQuillBot在 ttic.edu 的电子邮件经过验证
Shiyue ZhangUNC Chapel Hill在 cs.unc.edu 的电子邮件经过验证
Karen LivescuTTI-Chicago在 ttic.edu 的电子邮件经过验证
Colin RaffelUniversity of Toronto, Vector Institute and Hugging Face在 cs.toronto.edu 的电子邮件经过验证
Swarnadeep SahaPhD Student, University of North Carolina at Chapel Hill在 cs.unc.edu 的电子邮件经过验证
Matthew R. WalterToyota Technological Institute at Chicago在 ttic.edu 的电子邮件经过验证
Xiang ZhouGoogle在 cs.unc.edu 的电子邮件经过验证
Yichen JiangUNC Chapel Hill在 cs.unc.edu 的电子邮件经过验证
Han GuoCarnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Heng JiProfessor of Computer Science, University of Illinois Urbana-Champaign, Amazon Scholar在 illinois.edu 的电子邮件经过验证
Zineng TangUC Berkeley在 cs.unc.edu 的电子邮件经过验证
Douwe KielaContextual AI, Stanford University在 stanford.edu 的电子邮件经过验证

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Mohit Bansal

Parker Distinguished Professor, Computer Science, UNC Chapel Hill

在 cs.unc.edu 的电子邮件经过验证 - 首页

Natural Language Processing Computer Vision Machine Learning Multimodal AI


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
LXMERT: Learning Cross-Modality Encoder Representations from Transformers H Tan, M Bansal EMNLP 2019, 2019	2442	2019
End-to-end Relation Extraction using LSTMs on Sequences and Tree Structures M Miwa, M Bansal ACL 2016, 2016	1470	2016
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022	828	2022
Adversarial NLI: A New Benchmark for Natural Language Understanding Y Nie, A Williams, E Dinan, M Bansal, J Weston, D Kiela ACL 2020, 2019	819	2019
MAttNet: Modular Attention Network for Referring Expression Comprehension L Yu, Z Lin, X Shen, J Yang, X Lu, M Bansal, TL Berg CVPR 2018, 2018	812	2018
Towards Universal Paraphrastic Sentence Embeddings J Wieting, M Bansal, K Gimpel, K Livescu ICLR 2016, 2015	712	2015
Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting YC Chen, M Bansal ACL 2018, 2018	697	2018
Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling J Lei, L Li, L Zhou, Z Gan, TL Berg, M Bansal, J Liu CVPR 2021, 2021	622	2021
TVQA: Localized, Compositional Video Question Answering J Lei, L Yu, M Bansal, TL Berg EMNLP 2018, 2018	621	2018
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning H Liu, D Tam, M Muqeeth, J Mohta, T Huang, M Bansal, C Raffel NeurIPS 2022, 2022	476	2022
Unifying Vision-and-Language Tasks via Text Generation J Cho, J Lei, H Tan, M Bansal ICML 2021, 2021	470	2021
Tailoring Continuous Word Representations for Dependency Parsing M Bansal, K Gimpel, K Livescu ACL 2014, 2014	378	2014
How Much Can CLIP Benefit Vision-and-Language Tasks? S Shen, LH Li, H Tan, M Bansal, A Rohrbach, KW Chang, Z Yao, ... ICLR 2022, 2021	372	2021
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment H Mei, M Bansal, MR Walter NAACL 2016, 2016	324	2016
Dynabench: Rethinking Benchmarking in NLP D Kiela, M Bartolo, Y Nie, D Kaushik, A Geiger, Z Wu, B Vidgen, G Prasad, ... NAACL 2021, 2021	319	2021
From Paraphrase Database to Compositional Paraphrase Model and Back J Wieting, M Bansal, K Gimpel, K Livescu TACL 2015, 2015	318	2015
Combining fact extraction and verification with neural semantic matching networks Y Nie, H Chen, M Bansal Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6859-6866, 2019	313	2019
Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout H Tan, L Yu, M Bansal NAACL 2019, 2019	304	2019
A Joint Speaker-Listener-Reinforcer Model for Referring Expressions L Yu, H Tan, M Bansal, TL Berg CVPR 2017, 2016	294	2016
Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences H Mei, M Bansal, MR Walter AAAI 2016, 2015	279	2015

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