Yifei Wang

According to our database, Yifei Wang authored at least 44 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

What is Wrong with Perplexity for Long-context Language Modeling?

Lizhe Fang, Yifei Wang, Zhaoyang Liu, Chenheng Zhang, Stefanie Jegelka, Jinyang Gao, Bolin Ding, Yisen Wang

CoRR, 2024

Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness.

Qi Zhang, Yifei Wang, Jingyi Cui, Xiang Pan, Qi Lei, Stefanie Jegelka, Yisen Wang

CoRR, 2024

Can In-context Learning Really Generalize to Out-of-distribution Tasks?

Qixun Wang, Yifei Wang, Yisen Wang, Xianghua Ying

CoRR, 2024

On the Role of Attention Masks and LayerNorm in Transformers.

Xinyi Wu, Amir Ajorlou, Yifei Wang, Stefanie Jegelka, Ali Jadbabaie

CoRR, 2024

A Theoretical Understanding of Self-Correction through In-context Alignment.

Yifei Wang, Yuyang Wu, Zeming Wei, Stefanie Jegelka, Yisen Wang

CoRR, 2024

A Canonization Perspective on Invariant and Equivariant Learning.

George Ma, Yifei Wang, Derek Lim, Stefanie Jegelka, Yisen Wang

CoRR, 2024

In-Context Symmetries: Self-Supervised Learning through Contextual World Models.

Sharut Gupta, Chenyu Wang, Yifei Wang, Tommi S. Jaakkola, Stefanie Jegelka

CoRR, 2024

How to Craft Backdoors with Unlabeled Data Alone?

Yifei Wang, Wenhan Ma, Stefanie Jegelka, Yisen Wang

CoRR, 2024

Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining.

Qi Zhang, Tianqi Du, Haotian Huang, Yifei Wang, Yisen Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Non-negative Contrastive Learning.

Yifei Wang, Qi Zhang, Yaoyu Guo, Yisen Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Do Generated Data Always Help Contrastive Learning?

Yifei Wang, Jizhe Zhang, Yisen Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

On the Role of Discrete Tokenization in Visual Representation Learning.

Tianqi Du, Yifei Wang, Yisen Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Equilibrium Image Denoising With Implicit Differentiation.

Qi Chen, Yifei Wang, Zhengyang Geng, Yisen Wang, Jiansheng Yang, Zhouchen Lin

IEEE Trans. Image Process., 2023

Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding.

Jiangyan Ma, Yifei Wang, Yisen Wang

CoRR, 2023

Towards Control-Centric Representations in Reinforcement Learning from Images.

Chen Liu, Hongyu Zang, Xin Li, Yong Heng, Yifei Wang, Zhen Fang, Yisen Wang, Mingzhong Wang

CoRR, 2023

Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations.

Zeming Wei, Yifei Wang, Yisen Wang

CoRR, 2023

Robust Long-Tailed Learning via Label-Aware Bounded CVaR.

Hong Zhu, Runpeng Yu, Xing Tang, Yifei Wang, Yuan Fang, Yisen Wang

CoRR, 2023

Identifiable Contrastive Learning with Automatic Feature Importance Discovery.

Qi Zhang, Yifei Wang, Yisen Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective.

Yifei Wang, Liangchen Li, Jiansheng Yang, Zhouchen Lin, Yisen Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding.

George Ma, Yifei Wang, Yisen Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adversarial Examples Are Not Real Features.

Ang Li, Yifei Wang, Yiwen Guo, Yisen Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning.

Xiaojun Guo, Yifei Wang, Zeming Wei, Yisen Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Generalization of Multi-modal Contrastive Learning.

Qi Zhang, Yifei Wang, Yisen Wang

Proceedings of the International Conference on Machine Learning, 2023

Rethinking Weak Supervision in Helping Contrastive Learning.

Jingyi Cui, Weiran Huang, Yifei Wang, Yisen Wang

Proceedings of the International Conference on Machine Learning, 2023

Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism.

Zhijian Zhuo, Yifei Wang, Jinwen Ma, Yisen Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning.

Rundong Luo, Yifei Wang, Yisen Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States.

Mingjie Li, Yifei Wang, Yisen Wang, Zhouchen Lin

Proceedings of the Eleventh International Conference on Learning Representations, 2023

ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond.

Xiaojun Guo, Yifei Wang, Tianqi Du, Yisen Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Message Passing Perspective on Learning Dynamics of Contrastive Learning.

Yifei Wang, Qi Zhang, Tianqi Du, Jiansheng Yang, Zhouchen Lin, Yisen Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CFA: Class-Wise Calibrated Fair Adversarial Training.

Zeming Wei, Yifei Wang, Yiwen Guo, Yisen Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization.

Shiji Xin, Yifei Wang, Jingtong Su, Yisen Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders.

Qi Zhang, Yifei Wang, Yisen Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors.

Qixun Wang, Yifei Wang, Hong Zhu, Yisen Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture.

Yichuan Mo, Dongxian Wu, Yifei Wang, Yiwen Guo, Yisen Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

G²CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters.

Mingjie Li, Xiaojun Guo, Yifei Wang, Yisen Wang, Zhouchen Lin

Proceedings of the International Conference on Machine Learning, 2022

Optimization-Induced Graph Implicit Nonlinear Diffusion.

Qi Chen, Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin

Proceedings of the International Conference on Machine Learning, 2022

Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap.

Yifei Wang, Qi Zhang, Yisen Wang, Jiansheng Yang, Zhouchen Lin

Proceedings of the Tenth International Conference on Learning Representations, 2022

A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training.

Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin

Proceedings of the Tenth International Conference on Learning Representations, 2022

Efficient and Scalable Implicit Graph Neural Networks with Virtual Equilibrium.

Qi Chen, Yifei Wang, Yisen Wang, Jianlong Chang, Qi Tian, Jiansheng Yang, Zhouchen Lin

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Fooling Adversarial Training with Inducing Noise.

Zhirui Wang, Yifei Wang, Yisen Wang

CoRR, 2021

Reparameterized Sampling for Generative Adversarial Networks.

Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Dissecting the Diffusion Process in Linear Graph Convolutional Networks.

Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Residual Relaxation for Multi-view Representation Learning.

Yifei Wang, Zhengyang Geng, Feng Jiang, Chuming Li, Yisen Wang, Jiansheng Yang, Zhouchen Lin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Decoder-free Robustness Disentanglement without (Additional) Supervision.

Yifei Wang, Dan Peng, Furui Liu, Zhenguo Li, Zhitang Chen, Jiansheng Yang

CoRR, 2020