Revisiting Discriminative vs. Generative Classifiers: Theory and Implications

5 February 2023

Jun Zhu

Papers citing "Revisiting Discriminative vs. Generative Classifiers: Theory and Implications"

22 / 22 papers shown

Title
Generative Classifier for Domain Generalization Shaocong Long Qianyu Zhou X. Li Chenhao Ying Yunhai Tong Lizhuang Ma Yuan Luo Dacheng Tao 36 0 0 03 Apr 2025
Do we really have to filter out random noise in pre-training data for language models? Jinghan Ru Yuxin Xie Xianwei Zhuang Yuguo Yin Yuexian Zou 83 2 0 10 Feb 2025
Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation Mingjia Li Shuang Li Tongrui Su Longhui Yuan Jian Liang Wei Li DiffM 35 0 0 03 Jan 2025
A Robust Adversarial Ensemble with Causal (Feature Interaction) Interpretations for Image Classification Chunheng Zhao P. Pisu G. Comert N. Begashaw Varghese Vaidyan Nina Christine Hubig AAML 24 0 0 31 Dec 2024
Realizable $H$ -Consistent and Bayes-Consistent Loss Functions for Learning to Defer Anqi Mao M. Mohri Yutao Zhong 38 8 0 18 Jul 2024
Cardinality-Aware Set Prediction and Top- $k$ Classification Corinna Cortes Anqi Mao Christopher Mohri M. Mohri Yutao Zhong 30 4 0 09 Jul 2024
Generative vs. Discriminative modeling under the lens of uncertainty quantification Elouan Argouarc'h François Desbouvries Eric Barat Eiji Kawasaki UQCV 26 1 0 13 Jun 2024
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability Chenyu Zheng Wei Huang Rongzheng Wang Guoqiang Wu Jun Zhu Chongxuan Li 34 1 0 27 May 2024
ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback Zhenyu Hou Yiin Niu Zhengxiao Du Xiaohan Zhang Xiao Liu ... Qinkai Zheng Minlie Huang Hongning Wang Jie Tang Yuxiao Dong ALM 22 17 0 01 Apr 2024
Top- $k$ Classification and Cardinality-Aware Prediction Anqi Mao M. Mohri Yutao Zhong 23 7 0 28 Mar 2024
Regression with Multi-Expert Deferral Anqi Mao M. Mohri Yutao Zhong 21 11 0 28 Mar 2024
$H$ -Consistency Guarantees for Regression Anqi Mao M. Mohri Yutao Zhong 26 9 0 28 Mar 2024
Unified Classification and Rejection: A One-versus-All Framework Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu 57 7 0 22 Nov 2023
Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers Staphord Bengesi Hoda El-Sayed Md Kamruzzaman Sarker Yao Houkpati John Irungu T. Oladunni 45 70 0 17 Nov 2023
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms Anqi Mao M. Mohri Yutao Zhong 27 24 0 23 Oct 2023
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention Anqi Mao M. Mohri Yutao Zhong 19 22 0 23 Oct 2023
Ranking with Abstention Anqi Mao M. Mohri Yutao Zhong 13 18 0 05 Jul 2023
Multiscale Flow for Robust and Optimal Cosmological Analysis B. Dai U. Seljak 19 17 0 07 Jun 2023
Toward Understanding Generative Data Augmentation Chenyu Zheng Guoqiang Wu Chongxuan Li 21 24 0 27 May 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications Anqi Mao M. Mohri Yutao Zhong AAML 21 270 0 14 Apr 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,412 0 11 Nov 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,367 0 09 Mar 2020