2025
Flipping Against All Odds: Reducing LLM Coin Flip Bias via Verbalized Rejection Sampling.
CoRR, June, 2025
Can Large Language Models Understand Symbolic Graphics Programs?
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
ChatGarment: Garment Estimation, Generation and Editing via Large Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
2024
PuzzleAvatar: Assembling 3D Avatars from Personal Albums.
ACM Trans. Graph., December, 2024
PuzzleAvatar: Assembling 3D Avatars from Personal Albums.
CoRR, 2024
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization.
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Proceedings of the Twelfth International Conference on Learning Representations, 2024
Ghost on the Shell: An Expressive Representation of General 3D Shapes.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Continual Learning by Modeling Intra-Class Variation.
Trans. Mach. Learn. Res., 2023
Using Representation Expressiveness and Learnability to Evaluate Self-Supervised Learning Methods.
Trans. Mach. Learn. Res., 2023
Controlling Text-to-Image Diffusion by Orthogonal Finetuning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
MeshDiffusion: Score-based Generative 3D Mesh Modeling.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Iterative Teaching by Data Hallucination.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Expressiveness and Learnability: A Unifying View for Evaluating Self-Supervised Learning.
CoRR, 2022
Generative Flow Networks for Discrete Probabilistic Modeling.
Proceedings of the International Conference on Machine Learning, 2022
Structural Causal 3D Reconstruction.
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Iterative Teaching by Label Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Orthogonal Over-Parameterized Training.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Learning with Hyperspherical Uniformity.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Orthogonal Over-Parameterized Training.
CoRR, 2020
Regularizing Neural Networks via Minimizing Hyperspherical Energy.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Compressive Hyperspherical Energy Minimization.
CoRR, 2019
Neural Similarity Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Exponential Family Estimation via Adversarial Dynamics Embedding.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2018
Learning towards Minimum Hyperspherical Energy.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Coupled Variational Bayes via Optimization Embedding.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Deep Forward and Inverse Perceptual Models for Tracking and Prediction.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Towards Black-box Iterative Machine Teaching.
Proceedings of the 35th International Conference on Machine Learning, 2018
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
Deep Hyperspherical Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
One-Shot Learning for Semantic Segmentation.
Proceedings of the British Machine Vision Conference 2017, 2017
2016
Multi Robot Object-Based SLAM.
Proceedings of the International Symposium on Experimental Robotics, 2016