Shengbang Tong

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	Sve	Od 2020.
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i10-indeks	15	15

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Yi Ma (马毅)Director of School of Computing & Data Science, Hong Kong University; Professor of EECS, UC BerkeleyPotvrđena adresa e-pošte na hku.hk
Yuexiang ZhaiUC Berkeley | Google DeepMindPotvrđena adresa e-pošte na berkeley.edu
Saining XieAssistant Professor at the Courant Institute, New York UniversityPotvrđena adresa e-pošte na nyu.edu
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityPotvrđena adresa e-pošte na cs.nyu.edu
Xili DaiUC Berkeley; HKUSTPotvrđena adresa e-pošte na connect.hkust-gz.edu.cn
Tianzhe ChuThe University of Hong KongPotvrđena adresa e-pošte na connect.hku.hk
Zhuang LiuResearch Scientist, FAIR, MetaPotvrđena adresa e-pošte na berkeley.edu
Ellis BrownPhD, New York UniversityPotvrđena adresa e-pošte na nyu.edu
Penghao WuPhd Student NTUPotvrđena adresa e-pošte na e.ntu.edu.sg
Xichen PanNew York University; Meta AIPotvrđena adresa e-pošte na nyu.edu
Yubei ChenUC Davis | Aizip.aiPotvrđena adresa e-pošte na ucdavis.edu
Tianjiao DingUniversity of PennsylvaniaPotvrđena adresa e-pošte na upenn.edu
Erik JonesUC BerkeleyPotvrđena adresa e-pošte na berkeley.edu
Jacob SteinhardtStanford UniversityPotvrđena adresa e-pošte na cs.stanford.edu
David FanMeta FAIR LabsPotvrđena adresa e-pošte na cs.princeton.edu
Koustuv SinhaResearch Scientist, Meta AI (Fundamental AI Research), McGill University (PhD)Potvrđena adresa e-pošte na mail.mcgill.ca

Prati

Shengbang Tong

NYU Courant

Potvrđena adresa e-pošte na berkeley.edu - Početna stranica

AI Computer Vision Deep Learning Representation Learning


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Eyes wide shut? exploring the visual shortcomings of multimodal llms S Tong, Z Liu, Y Zhai, Y Ma, Y LeCun, S Xie CVPR 2024 (Oral), 2024	233	2024
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs S Tong, E Brown, P Wu*, S Woo, M Middepogu, SC Akula, J Yang, ... NeurIPS 2024 (Oral), 2024	187	2024
Investigating the catastrophic forgetting in multimodal large language models Y Zhai, S Tong, X Li, M Cai, Q Qu, YJ Lee, Y Ma CPAL 2024, 2023	123*	2023
White-box transformers via sparse rate reduction Y Yu, S Buchanan, D Pai, T Chu, Z Wu, S Tong, B Haeffele, Y Ma NeurIPS 2023, 2023	74	2023
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning Y Zhai, H Bai, Z Lin, J Pan, S Tong, Y Zhou*, A Suhr, S Xie, Y LeCun, ... NeurIPS 2024, 2024	39	2024
Mass-producing failures of multimodal systems with language models S Tong, E Jones, J Steinhardt NeurIPS 2023, 2023	39	2023
Ctrl: Closed-loop transcription to an ldr via minimaxing rate reduction X Dai, S Tong, M Li, Z Wu, M Psenka, KHR Chan, P Zhai, Y Yu, ... Entropy 24 (4), 456, 2022	35*	2022
MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark X Yue, T Zheng, Y Ni, Y Wang, K Zhang, S Tong, Y Sun, M Yin, B Yu, ... arXiv preprint arXiv:2409.02813, 2024	32	2024
Emp-ssl: Towards self-supervised learning in one training epoch S Tong, Y Chen, Y Ma, Y LeCun arXiv preprint arXiv:2304.03977, 2023	29	2023
Revisiting sparse convolutional model for visual recognition X Dai, M Li, P Zhai, S Tong, X Gao, SL Huang, Z Zhu, C You, Y Ma NeurIPS 2022, 2022	29	2022
Incremental learning of structured memory via closed-loop transcription S Tong, X Dai, Z Wu, M Li, B Yi, Y Ma ICLR 2023, 2022	26	2022
Emergence of segmentation with minimalistic white-box transformers Y Yu, T Chu, S Tong, Z Wu, D Pai, S Buchanan, Y Ma CPAL 2024, 2023	21	2023
Image clustering via the principle of rate reduction in the age of pretrained models T Chu, S Tong, T Ding*, X Dai, B Haeffele, R Vidal, Y Ma ICLR 2024, 2024	13	2024
Unsupervised manifold linearizing and clustering T Ding, S Tong, KHR Chan, X Dai, Y Ma, BD Haeffele ICCV 2023, 2023	11	2023
White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is? Y Yu, S Buchanan, D Pai, T Chu, Z Wu, S Tong, H Bai, Y Zhai, ... JMLR, 2023	10	2023
Closed-loop transcription via convolutional sparse coding X Dai, K Chen, S Tong, J Zhang, X Gao, M Li, D Pai, Y Zhai, XI Yuan, ... CPAL 2024, 2023	7	2023
Unsupervised learning of structured representations via closed-loop transcription S Tong, X Dai, Y Chen, M Li, Z Li, B Yi, Y LeCun, Y Ma CPAL 2024, 2022	6	2022
Metamorph: Multimodal understanding and generation via instruction tuning S Tong, D Fan, J Zhu, Y Xiong, X Chen, K Sinha, M Rabbat, Y LeCun, ... arXiv preprint arXiv:2412.14164, 2024	4*	2024
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training T Chu, Y Zhai, J Yang, S Tong, S Xie, D Schuurmans, QV Le, S Levine, ... arXiv preprint arXiv:2501.17161, 2025	2	2025
Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning S Mo, S Tong NeurIPS 2024 (Spotlight), 2024		2024

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