Mohit Bansal

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Hao TanAdobe ResearchPatvirtintas el. paštas adobe.com
Jie Lei 雷杰Research Scientist, Meta AIPatvirtintas el. paštas fb.com
Jaemin ChoPhD Student at UNC Chapel HillPatvirtintas el. paštas cs.unc.edu
Peter HaseResident, AnthropicPatvirtintas el. paštas anthropic.com
Tamara L BergAssociate Professor, Computer Science, UNC Chapel HillPatvirtintas el. paštas cs.unc.edu
Yixin NieMeta, UNC Chapel HillPatvirtintas el. paštas meta.com
Licheng Yu 虞立成Research Scientist and Manager, Facebook AIPatvirtintas el. paštas fb.com
Kevin GimpelQuillBotPatvirtintas el. paštas ttic.edu
Colin RaffelUniversity of Toronto, Vector Institute and Hugging FacePatvirtintas el. paštas cs.toronto.edu
Shiyue ZhangBloomberg AIPatvirtintas el. paštas cs.unc.edu
Swarnadeep SahaResearch Scientist, FAIR at MetaPatvirtintas el. paštas meta.com
Karen LivescuTTI-ChicagoPatvirtintas el. paštas ttic.edu
Xiang ZhouGooglePatvirtintas el. paštas cs.unc.edu
Matthew R. WalterToyota Technological Institute at ChicagoPatvirtintas el. paštas ttic.edu
Heng JiProfessor, Siebel School of Computing and Data Science, AICE Director, UIUC, Amazon ScholarPatvirtintas el. paštas illinois.edu
Adyasha MaharanaUniversity of North Carolina, Chapel HillPatvirtintas el. paštas cs.unc.edu
Zineng TangUC BerkeleyPatvirtintas el. paštas cs.unc.edu
Han GuoMITPatvirtintas el. paštas mit.edu
Jialu LiUNC Chapel HillPatvirtintas el. paštas cs.unc.edu
Douwe KielaContextual AI, Stanford UniversityPatvirtintas el. paštas stanford.edu

Stebėti

Mohit Bansal

Parker Distinguished Professor, Computer Science, UNC Chapel Hill

Patvirtintas el. paštas cs.unc.edu - Pagrindinis puslapis

Natural Language Processing Computer Vision Machine Learning Multimodal AI


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
LXMERT: Learning Cross-Modality Encoder Representations from Transformers H Tan, M Bansal EMNLP 2019, 2019	2746	2019
End-to-end Relation Extraction using LSTMs on Sequences and Tree Structures M Miwa, M Bansal ACL 2016, 2016	1562	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	1169	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	968	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	905	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	753	2022
Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting YC Chen, M Bansal ACL 2018, 2018	739	2018
Towards Universal Paraphrastic Sentence Embeddings J Wieting, M Bansal, K Gimpel, K Livescu ICLR 2016, 2015	737	2015
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	717	2021
TVQA: Localized, Compositional Video Question Answering J Lei, L Yu, M Bansal, TL Berg EMNLP 2018, 2018	692	2018
Unifying Vision-and-Language Tasks via Text Generation J Cho, J Lei, H Tan, M Bansal ICML 2021, 2021	546	2021
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	433	2021
Dynabench: Rethinking Benchmarking in NLP D Kiela, M Bartolo, Y Nie, D Kaushik, A Geiger, Z Wu, B Vidgen, G Prasad, ... NAACL 2021, 2021	395	2021
Tailoring Continuous Word Representations for Dependency Parsing M Bansal, K Gimpel, K Livescu ACL 2014, 2014	389	2014
Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout H Tan, L Yu, M Bansal NAACL 2019, 2019	349	2019
VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks YL Sung, J Cho, M Bansal CVPR 2022, 2022	344	2022
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	337	2019
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment H Mei, M Bansal, MR Walter NAACL 2016, 2016	332	2016
From Paraphrase Database to Compositional Paraphrase Model and Back J Wieting, M Bansal, K Gimpel, K Livescu TACL 2015, 2015	324	2015
Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? P Hase, M Bansal ACL 2020, 2020	321	2020

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