:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Choi, Ching Lam, Duplessis, Alexandre, Belongie, Serge
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2410.08069
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models
by: Pach, Mateusz, et al.
Published: (2025)

The Latent Color Subspace: Emergent Order in High-Dimensional Chaos
by: Pach, Mateusz, et al.
Published: (2026)

Stitch: Training-Free Position Control in Multimodal Diffusion Transformers
by: Bader, Jessica, et al.
Published: (2025)

MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning
by: Nedungadi, Vishal, et al.
Published: (2024)

Stitched Value Model for Diffusion Alignment
by: Go, Hyojun, et al.
Published: (2026)

ICED: Concept-level Machine Unlearning via Interpretable Concept Decomposition
by: Lin, Shen, et al.
Published: (2026)

Prompt-Based Safety Guidance Is Ineffective for Unlearned Text-to-Image Diffusion Models
by: Shin, Jiwoo, et al.
Published: (2025)

Thinking in Frames: How Visual Context and Test-Time Scaling Empower Video Reasoning
by: Li, Chengzu, et al.
Published: (2026)

Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks
by: Tiwary, Piyush, et al.
Published: (2023)

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery
by: Chang, Ching-Chun, et al.
Published: (2024)

Concept-Guided Interpretability via Neural Chunking
by: Wu, Shuchen, et al.
Published: (2025)

Building Optimal Neural Architectures using Interpretable Knowledge
by: Mills, Keith G., et al.
Published: (2024)

Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images
by: Bonato, Jacopo, et al.
Published: (2024)

QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving
by: Biswas, Sourav, et al.
Published: (2024)

$\nabla τ$: Gradient-based and Task-Agnostic machine Unlearning
by: Trippa, Daniel, et al.
Published: (2024)

B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable
by: Arya, Shreyash, et al.
Published: (2024)

SafeRedir: Prompt Embedding Redirection for Robust Unlearning in Image Generation Models
by: Liu, Renyang, et al.
Published: (2026)

One-Shot Machine Unlearning with Mnemonic Code
by: Yamashita, Tomoya, et al.
Published: (2023)

CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP
by: Yang, Tianyu, et al.
Published: (2024)

Disentangled Sparse Representations for Concept-Separated Diffusion Unlearning
by: Kim, Hyeonjin, et al.
Published: (2026)

Face Identity Unlearning for Retrieval via Embedding Dispersion
by: Zakharov, Mikhail
Published: (2025)

Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI
by: Spartalis, Christoforos N., et al.
Published: (2025)

ECG-IMN: Interpretable Mesomorphic Neural Networks for 12-Lead Electrocardiogram Interpretation
by: Thambawita, Vajira, et al.
Published: (2026)

Training-Free Restoration of Pruned Neural Networks
by: Lee, Keonho, et al.
Published: (2025)

Privacy-Preserving Debiasing using Data Augmentation and Machine Unlearning
by: Pan, Zhixin, et al.
Published: (2024)

CoUn: Empowering Machine Unlearning via Contrastive Learning
by: Khalil, Yasser H., et al.
Published: (2025)

Machine Unlearning in the Era of Quantum Machine Learning: An Empirical Study
by: Crivoi, Carla, et al.
Published: (2025)

Rethinking Post-Unlearning Behavior of Large Vision-Language Models
by: Kim, Minsung, et al.
Published: (2025)

Multi-Class Unlearning for Image Classification via Weight Filtering
by: Poppi, Samuele, et al.
Published: (2023)

Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision
by: Chang, Wonjoon, et al.
Published: (2023)

I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts
by: Xin, Jiayi, et al.
Published: (2025)

Financial Fraud Identification and Interpretability Study for Listed Companies Based on Convolutional Neural Network
by: Li, Xiao
Published: (2025)

Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning
by: Fan, Chongyu, et al.
Published: (2024)

LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty
by: Spartalis, Christoforos N., et al.
Published: (2025)

Concept Unlearning via Cross-Attention Activation Projection for Diffusion Models
by: Moon, Saemi, et al.
Published: (2026)

CATA: Continual Machine Unlearning via Conflict-Averse Task Arithmetic
by: Lin, Shen, et al.
Published: (2026)

Deep Unlearning: Fast and Efficient Gradient-free Approach to Class Forgetting
by: Kodge, Sangamesh, et al.
Published: (2023)

Class Unlearning via Depth-Aware Removal of Forget-Specific Directions
by: Hatami, Arman, et al.
Published: (2026)

MultiDelete for Multimodal Machine Unlearning
by: Cheng, Jiali, et al.
Published: (2023)

Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$-Constrained Optimization
by: Feng, Xiaohua, et al.
Published: (2024)