Shengbang Tong

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 24

Top Topics

Supervised Learning

Top Venues

Publications

Hongxiang Zhao, Xili Dai, Jianan Wang, Shengbang Tong, Jingyuan Zhang, Weida Wang, Lei Zhang, Yi Ma
Ctrl123: Consistent Novel View Synthesis via Closed-Loop Transcription. CoRR (2024)
Shengbang Tong, Zhuang Liu, Yuexiang Zhai, Yi Ma, Yann LeCun, Saining Xie
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs. CoRR (2024)
Yuexiang Zhai, Hao Bai, Zipeng Lin, Jiayi Pan, Shengbang Tong, Yifei Zhou, Alane Suhr, Saining Xie, Yann LeCun, Yi Ma, Sergey Levine
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning. CoRR (2024)
Shengbang Tong, Ellis Brown, Penghao Wu, Sanghyun Woo, Manoj Middepogu, Sai Charitha Akula, Jihan Yang, Shusheng Yang, Adithya Iyer, Xichen Pan, Austin Wang, Rob Fergus, Yann LeCun, Saining Xie
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs. CoRR (2024)
Tianzhe Chu, Shengbang Tong, Tianjiao Ding, Xili Dai, Benjamin David Haeffele, René Vidal, Yi Ma
Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models. ICLR (2024)
Yuexiang Zhai, Shengbang Tong, Xiao Li, Mu Cai, Qing Qu, Yong Jae Lee, Yi Ma
Investigating the Catastrophic Forgetting in Multimodal Large Language Models. CoRR (2023)
Shengbang Tong, Yubei Chen, Yi Ma, Yann LeCun
EMP-SSL: Towards Self-Supervised Learning in One Training Epoch. CoRR (2023)
Shengbang Tong, Xili Dai, Ziyang Wu, Mingyang Li, Brent Yi, Yi Ma
Incremental Learning of Structured Memory via Closed-Loop Transcription. ICLR (2023)
Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Hao Bai, Yuexiang Zhai, Benjamin D. Haeffele, Yi Ma
White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is? CoRR (2023)
Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Benjamin D. Haeffele, Yi Ma
White-Box Transformers via Sparse Rate Reduction. NeurIPS (2023)
Shengbang Tong, Erik Jones, Jacob Steinhardt
Mass-Producing Failures of Multimodal Systems with Language Models. CoRR (2023)
Shengbang Tong, Erik Jones, Jacob Steinhardt
Mass-Producing Failures of Multimodal Systems with Language Models. NeurIPS (2023)
Yaodong Yu, Tianzhe Chu, Shengbang Tong, Ziyang Wu, Druv Pai, Sam Buchanan, Yi Ma
Emergence of Segmentation with Minimalistic White-Box Transformers. CoRR (2023)
Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele
Unsupervised Manifold Linearizing and Clustering. CoRR (2023)
Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele
Unsupervised Manifold Linearizing and Clustering. ICCV (2023)
Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Benjamin D. Haeffele, Yi Ma
White-Box Transformers via Sparse Rate Reduction. CoRR (2023)
Tianzhe Chu, Shengbang Tong, Tianjiao Ding, Xili Dai, Benjamin David Haeffele, René Vidal, Yi Ma
Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models. CoRR (2023)
Xili Dai, Ke Chen, Shengbang Tong, Jingyuan Zhang, Xingjian Gao, Mingyang Li, Druv Pai, Yuexiang Zhai, Xiaojun Yuan, Heung-Yeung Shum, Lionel M. Ni, Yi Ma
Closed-Loop Transcription via Convolutional Sparse Coding. CoRR (2023)
Shengbang Tong, Xili Dai, Ziyang Wu, Mingyang Li, Brent Yi, Yi Ma
Incremental Learning of Structured Memory via Closed-Loop Transcription. CoRR (2022)
Shengbang Tong, Xili Dai, Yubei Chen, Mingyang Li, Zengyi Li, Brent Yi, Yann LeCun, Yi Ma
Unsupervised Learning of Structured Representations via Closed-Loop Transcription. CoRR (2022)
Xili Dai, Mingyang Li, Pengyuan Zhai, Shengbang Tong, Xingjian Gao, Shao-Lun Huang, Zhihui Zhu, Chong You, Yi Ma
Revisiting Sparse Convolutional Model for Visual Recognition. NeurIPS (2022)
Xili Dai, Shengbang Tong, Mingyang Li, Ziyang Wu, Michael Psenka, Kwan Ho Ryan Chan, Pengyuan Zhai, Yaodong Yu, Xiaojun Yuan, Heung-Yeung Shum, Yi Ma
CTRL: Closed-Loop Transcription to an LDR via Minimaxing Rate Reduction. Entropy 24 (4) (2022)
Xili Dai, Mingyang Li, Pengyuan Zhai, Shengbang Tong, Xingjian Gao, Shao-Lun Huang, Zhihui Zhu, Chong You, Yi Ma
Revisiting Sparse Convolutional Model for Visual Recognition. CoRR (2022)
Xili Dai, Shengbang Tong, Mingyang Li, Ziyang Wu, Kwan Ho Ryan Chan, Pengyuan Zhai, Yaodong Yu, Michael Psenka, Xiaojun Yuan, Heung-Yeung Shum, Yi Ma
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction. CoRR (2021)