Che, Tong

17 publications

ICLR 2025 LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation Can Jin, Ying Li, Mingyu Zhao, Shiyu Zhao, Zhenting Wang, Xiaoxiao He, Ligong Han, Tong Che, Dimitris N. Metaxas

ICLR 2024 EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, Yue Wang

NeurIPS 2024 Learning from Teaching Regularization: Generalizable Correlations Should Be Easy to Imitate Can Jin, Tong Che, Hongwu Peng, Yiyuan Li, Dimitris N. Metaxas, Marco Pavone

ICML 2024 Parallelized Spatiotemporal Slot Binding for Videos Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone, Tong Che

ICML 2023 Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-Based Models Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone

ICLR 2023 Robust and Controllable Object-Centric Learning Through Energy-Based Models Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull

ICLR 2023 Sparse Mixture-of-Experts Are Domain Generalizable Learners Bo Li, Yifei Shen, Jingkang Yang, Yezhen Wang, Jiawei Ren, Tong Che, Jun Zhang, Ziwei Liu

NeurIPSW 2022 Foundation Models for Semantic Novelty in Reinforcement Learning Tarun Gupta, Peter Karkus, Tong Che, Danfei Xu, Marco Pavone

NeurIPSW 2022 Sparse Mixture-of-Experts Are Domain Generalizable Learners Bo Li, Yifei Shen, Jingkang Yang, Yezhen Wang, Jiawei Ren, Tong Che, Jun Zhang, Ziwei Liu

AAAI 2021 Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio

ICCV 2021 Energy-Based Open-World Uncertainty Modeling for Confidence Calibration Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li

ECCV 2020 AUTO3D: Novel View Synthesis Through Unsupervisely Learned Variational Viewpoint and Global 3D Representation Xiaofeng Liu, Tong Che, Yiqun Lu, Chao Yang, Site Li, Jane You

NeurIPS 2020 Your GAN Is Secretly an Energy-Based Model and You Should Use Discriminator Driven Latent Sampling Tong Che, Ruixiang Zhang, Jascha Sohl-Dickstein, Hugo Larochelle, Liam Paull, Yuan Cao, Yoshua Bengio

NeurIPS 2018 MetaGAN: An Adversarial Approach to Few-Shot Learning Ruixiang Zhang, Tong Che, Zoubin Ghahramani, Yoshua Bengio, Yangqiu Song

ICLR 2018 Residual Connections Encourage Iterative Inference Stanisław Jastrzebski, Devansh Arpit, Nicolas Ballas, Vikas Verma, Tong Che, Yoshua Bengio

ICLR 2017 Mode Regularized Generative Adversarial Networks Tong Che, Yanran Li, Athul Paul Jacob, Yoshua Bengio, Wenjie Li

NeurIPS 2016 Architectural Complexity Measures of Recurrent Neural Networks Saizheng Zhang, Yuhuai Wu, Tong Che, Zhouhan Lin, Roland Memisevic, Ruslan Salakhutdinov, Yoshua Bengio