Picture for Ziheng Chen

Ziheng Chen

Debiasing Machine Unlearning with Counterfactual Examples

Apr 24, 2024
Figure 1 for Debiasing Machine Unlearning with Counterfactual Examples
Figure 2 for Debiasing Machine Unlearning with Counterfactual Examples
Figure 3 for Debiasing Machine Unlearning with Counterfactual Examples
Figure 4 for Debiasing Machine Unlearning with Counterfactual Examples
Viaarxiv icon

A Lie Group Approach to Riemannian Batch Normalization

Add code
Mar 17, 2024
Figure 1 for A Lie Group Approach to Riemannian Batch Normalization
Figure 2 for A Lie Group Approach to Riemannian Batch Normalization
Figure 3 for A Lie Group Approach to Riemannian Batch Normalization
Figure 4 for A Lie Group Approach to Riemannian Batch Normalization
Viaarxiv icon

Riemannian Multiclass Logistics Regression for SPD Neural Networks

May 18, 2023
Figure 1 for Riemannian Multiclass Logistics Regression for SPD Neural Networks
Figure 2 for Riemannian Multiclass Logistics Regression for SPD Neural Networks
Figure 3 for Riemannian Multiclass Logistics Regression for SPD Neural Networks
Figure 4 for Riemannian Multiclass Logistics Regression for SPD Neural Networks
Viaarxiv icon

The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples

Apr 30, 2023
Figure 1 for The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples
Figure 2 for The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples
Figure 3 for The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples
Viaarxiv icon

Adaptive Riemannian Metrics on SPD Manifolds

Add code
Mar 26, 2023
Figure 1 for Adaptive Riemannian Metrics on SPD Manifolds
Figure 2 for Adaptive Riemannian Metrics on SPD Manifolds
Figure 3 for Adaptive Riemannian Metrics on SPD Manifolds
Figure 4 for Adaptive Riemannian Metrics on SPD Manifolds
Viaarxiv icon

GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations

Aug 04, 2022
Figure 1 for GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations
Figure 2 for GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations
Figure 3 for GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations
Figure 4 for GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations
Viaarxiv icon

DreamNet: A Deep Riemannian Network based on SPD Manifold Learning for Visual Classification

Add code
Jun 16, 2022
Figure 1 for DreamNet: A Deep Riemannian Network based on SPD Manifold Learning for Visual Classification
Figure 2 for DreamNet: A Deep Riemannian Network based on SPD Manifold Learning for Visual Classification
Figure 3 for DreamNet: A Deep Riemannian Network based on SPD Manifold Learning for Visual Classification
Figure 4 for DreamNet: A Deep Riemannian Network based on SPD Manifold Learning for Visual Classification
Viaarxiv icon

RLOP: RL Methods in Option Pricing from a Mathematical Perspective

Add code
May 11, 2022
Figure 1 for RLOP: RL Methods in Option Pricing from a Mathematical Perspective
Figure 2 for RLOP: RL Methods in Option Pricing from a Mathematical Perspective
Figure 3 for RLOP: RL Methods in Option Pricing from a Mathematical Perspective
Figure 4 for RLOP: RL Methods in Option Pricing from a Mathematical Perspective
Viaarxiv icon

AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension

Add code
Mar 16, 2022
Figure 1 for AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension
Figure 2 for AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension
Figure 3 for AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension
Figure 4 for AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension
Viaarxiv icon

MSNet: A Deep Multi-scale Submanifold Network for Visual Classification

Add code
Jan 29, 2022
Figure 1 for MSNet: A Deep Multi-scale Submanifold Network for Visual Classification
Figure 2 for MSNet: A Deep Multi-scale Submanifold Network for Visual Classification
Figure 3 for MSNet: A Deep Multi-scale Submanifold Network for Visual Classification
Figure 4 for MSNet: A Deep Multi-scale Submanifold Network for Visual Classification
Viaarxiv icon