Tong Che

发表

Maximum-Likelihood Augmented Discrete Generative Adversarial Networks pdf

Yoshua Bengio, Yangqiu Song, Wenjie Li, 2017, ArXiv.

MetaGAN: An Adversarial Approach to Few-Shot Learning

Yoshua Bengio, Zoubin Ghahramani, Yangqiu Song, 2018, NeurIPS.

Residual Connections Encourage Iterative Inference pdf

Yoshua Bengio, Stanislaw Jastrzebski, Vikas Verma, 2017, ICLR.

Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models pdf

Xiaofeng Liu, Tong Che, Yoshua Bengio, 2019, AAAI.

Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling pdf

Tong Che, Yoshua Bengio, Hugo Larochelle, 2020, NeurIPS.

Mode Regularized Generative Adversarial Networks

Yoshua Bengio, Yanran Li, Tong Che, 2016, ICLR.

Combining Model-based and Model-free RL via Multi-step Control Variates

Sergey Levine, Yoshua Bengio, Yuchen Lu, 2018 .

AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation

Tong Che, J. You, Xiaofeng Liu, 2020, ECCV.

Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One

Yoshua Bengio, Tong Che, Bo Li, 2022, arXiv.org.

Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One

Yoshua Bengio, Tong Che, Bo Li, 2022, ArXiv.

Robust and Controllable Object-Centric Learning through Energy-based Models

Tong Che, Ruixiang Zhang, Y. Bengio, 2022, ICLR.

Guided Conditional Diffusion for Controllable Traffic Simulation

Tong Che, Danfei Xu, M. Pavone, 2022, 2023 IEEE International Conference on Robotics and Automation (ICRA).

Foundation Models for Semantic Novelty in Reinforcement Learning

Tong Che, Peter Karkus, Danfei Xu, 2022, ArXiv.

Sparse Mixture-of-Experts are Domain Generalizable Learners

Tong Che, Bo Li, Jingkang Yang, 2022, ICLR.

Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling

Yoshua Bengio, H. Larochelle, Tong Che, 2020, NeurIPS.

Energy-Based Open-World Uncertainty Modeling for Confidence Calibration pdf

Tong Che, Bo Li, Dongsheng Li, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Mode Regularized Generative Adversarial Networks pdf

Yoshua Bengio, Wenjie Li, Yanran Li, 2016, ICLR.

Rethinking Distributional Matching Based Domain Adaptation pdf

Tong Che, Kurt Keutzer, Yoshua Bengio, 2020, ArXiv.

Architectural Complexity Measures of Recurrent Neural Networks

Yoshua Bengio, Ruslan Salakhutdinov, Roland Memisevic, 2016, NIPS.

Boundary-Seeking Generative Adversarial Networks pdf

Yoshua Bengio, Kyunghyun Cho, R. Devon Hjelm, 2017, ICLR 2017.

Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models

Tong Che, M. Pavone, Wenhao Ding, 2023, ICML.

Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models

Yoshua Bengio, Tong Che, Ruixiang Zhang, 2019, AAAI.

SPE: Symmetrical Prompt Enhancement for Fact Probing

Tong Che, Zhengbao Jiang, Snigdha Chaturvedi, 2022, EMNLP.

Conservative Wasserstein Training for Pose Estimation

Tong Che, J. You, Xiaofeng Liu, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Sparse Mixture-of-Experts are Domain Generalizable Learners

Tong Che, Bo Li, Jingkang Yang, 2022, ICLR.