Reproducibility review of "Why Not Other Classes": Towards Class-Contrastive Back-Propagation Explanations
Fuente:
arXiv
Saved in:
| Main Authors: | Eriksson, Arvid, Israelsson, Anton, Kallhauge, Mattias |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enriching Knowledge Distillation with Intra-Class Contrastive Learning
by: Yuan, Hua, et al.
Published: (2025)
by: Yuan, Hua, et al.
Published: (2025)
Towards Fair Class-wise Robustness: Class Optimal Distribution Adversarial Training
by: Zhi, Hongxin, et al.
Published: (2025)
by: Zhi, Hongxin, et al.
Published: (2025)
Towards Class-wise Robustness Analysis
by: Medi, Tejaswini, et al.
Published: (2024)
by: Medi, Tejaswini, et al.
Published: (2024)
A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning
by: Lee, Chungpa, et al.
Published: (2025)
by: Lee, Chungpa, et al.
Published: (2025)
Class Uncertainty: A Measure to Mitigate Class Imbalance
by: Baltaci, Z. S., et al.
Published: (2023)
by: Baltaci, Z. S., et al.
Published: (2023)
Cross-Class Feature Augmentation for Class Incremental Learning
by: Kim, Taehoon, et al.
Published: (2023)
by: Kim, Taehoon, et al.
Published: (2023)
Concept Based Explanations and Class Contrasting
by: Herdt, Rudolf, et al.
Published: (2025)
by: Herdt, Rudolf, et al.
Published: (2025)
A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets
by: Mildenberger, David, et al.
Published: (2025)
by: Mildenberger, David, et al.
Published: (2025)
Towards Realistic Incremental Scenario in Class Incremental Semantic Segmentation
by: Kwak, Jihwan, et al.
Published: (2024)
by: Kwak, Jihwan, et al.
Published: (2024)
Class-wise Balancing Data Replay for Federated Class-Incremental Learning
by: Qi, Zhuang, et al.
Published: (2025)
by: Qi, Zhuang, et al.
Published: (2025)
Towards Experience Replay for Class-Incremental Learning in Fully-Binary Networks
by: Basso-Bert, Yanis, et al.
Published: (2025)
by: Basso-Bert, Yanis, et al.
Published: (2025)
Why Does It Look There? Structured Explanations for Image Classification
by: Li, Jiarui, et al.
Published: (2026)
by: Li, Jiarui, et al.
Published: (2026)
When Classes Evolve: A Benchmark and Framework for Stage-Aware Class-Incremental Learning
by: Zhang, Zheng, et al.
Published: (2026)
by: Zhang, Zheng, et al.
Published: (2026)
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator
by: Zhang, Xin, et al.
Published: (2024)
by: Zhang, Xin, et al.
Published: (2024)
Class Adaptive Conformal Training
by: Marani, Badr-Eddine, et al.
Published: (2026)
by: Marani, Badr-Eddine, et al.
Published: (2026)
12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning
by: Wibowo, Yoga Esa, et al.
Published: (2024)
by: Wibowo, Yoga Esa, et al.
Published: (2024)
One Adapter for All: Towards Unified Representation in Step-Imbalanced Class-Incremental Learning
by: Zhang, Xiaoyan, et al.
Published: (2026)
by: Zhang, Xiaoyan, et al.
Published: (2026)
ABC Easy as 123: A Blind Counter for Exemplar-Free Multi-Class Class-agnostic Counting
by: Hobley, Michael A., et al.
Published: (2023)
by: Hobley, Michael A., et al.
Published: (2023)
Unsupervised Learning for Class Distribution Mismatch
by: Du, Pan, et al.
Published: (2025)
by: Du, Pan, et al.
Published: (2025)
Few-Shot Learning with Class Imbalance
by: Ochal, Mateusz, et al.
Published: (2021)
by: Ochal, Mateusz, et al.
Published: (2021)
Future-Proofing Class-Incremental Learning
by: Jodelet, Quentin, et al.
Published: (2024)
by: Jodelet, Quentin, et al.
Published: (2024)
Class-Incremental Learning: A Survey
by: Zhou, Da-Wei, et al.
Published: (2023)
by: Zhou, Da-Wei, et al.
Published: (2023)
SynerMix: Synergistic Mixup Solution for Enhanced Intra-Class Cohesion and Inter-Class Separability in Image Classification
by: Xu, Ye, et al.
Published: (2024)
by: Xu, Ye, et al.
Published: (2024)
Fine-grained Classes and How to Find Them
by: Grcić, Matej, et al.
Published: (2024)
by: Grcić, Matej, et al.
Published: (2024)
CGCOD: Class-Guided Camouflaged Object Detection
by: Zhang, Chenxi, et al.
Published: (2024)
by: Zhang, Chenxi, et al.
Published: (2024)
Federated Joint Learning for Domain and Class Generalization
by: Xu, Haoran, et al.
Published: (2026)
by: Xu, Haoran, et al.
Published: (2026)
Class Relevance Learning For Out-of-distribution Detection
by: Xiong, Butian, et al.
Published: (2023)
by: Xiong, Butian, et al.
Published: (2023)
Enhancing Interpretability of Sparse Latent Representations with Class Information
by: Abiz, Farshad Sangari, et al.
Published: (2025)
by: Abiz, Farshad Sangari, et al.
Published: (2025)
Narrowing Class-Wise Robustness Gaps in Adversarial Training
by: Amerehi, Fatemeh, et al.
Published: (2025)
by: Amerehi, Fatemeh, et al.
Published: (2025)
Class-Invariant Test-Time Augmentation for Domain Generalization
by: Lin, Zhicheng, et al.
Published: (2025)
by: Lin, Zhicheng, et al.
Published: (2025)
ViTCAE: ViT-based Class-conditioned Autoencoder
by: Jebraeeli, Vahid, et al.
Published: (2025)
by: Jebraeeli, Vahid, et al.
Published: (2025)
Class-Conditional Distribution Balancing for Group Robust Classification
by: Zhao, Miaoyun, et al.
Published: (2025)
by: Zhao, Miaoyun, et al.
Published: (2025)
From Colors to Classes: Emergence of Concepts in Vision Transformers
by: Dorszewski, Teresa, et al.
Published: (2025)
by: Dorszewski, Teresa, et al.
Published: (2025)
Drainage: A Unifying Framework for Addressing Class Uncertainty
by: Taha, Yasser, et al.
Published: (2025)
by: Taha, Yasser, et al.
Published: (2025)
Understanding the Detrimental Class-level Effects of Data Augmentation
by: Kirichenko, Polina, et al.
Published: (2023)
by: Kirichenko, Polina, et al.
Published: (2023)
Neural Collapse by Design: Learning Class Prototypes on the Hypersphere
by: Koromilas, Panagiotis, et al.
Published: (2026)
by: Koromilas, Panagiotis, et al.
Published: (2026)
Stable Routing for Mixture-of-Experts in Class-Incremental Learning
by: Guo, Zirui, et al.
Published: (2026)
by: Guo, Zirui, et al.
Published: (2026)
Classes Are Not Equal: An Empirical Study on Image Recognition Fairness
by: Cui, Jiequan, et al.
Published: (2024)
by: Cui, Jiequan, et al.
Published: (2024)
Exploring Vacant Classes in Label-Skewed Federated Learning
by: Guo, Kuangpu, et al.
Published: (2024)
by: Guo, Kuangpu, et al.
Published: (2024)
Effective Decision Boundary Learning for Class Incremental Learning
by: Li, Kunchi, et al.
Published: (2023)
by: Li, Kunchi, et al.
Published: (2023)
Similar Items
-
Enriching Knowledge Distillation with Intra-Class Contrastive Learning
by: Yuan, Hua, et al.
Published: (2025) -
Towards Fair Class-wise Robustness: Class Optimal Distribution Adversarial Training
by: Zhi, Hongxin, et al.
Published: (2025) -
Towards Class-wise Robustness Analysis
by: Medi, Tejaswini, et al.
Published: (2024) -
A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning
by: Lee, Chungpa, et al.
Published: (2025) -
Class Uncertainty: A Measure to Mitigate Class Imbalance
by: Baltaci, Z. S., et al.
Published: (2023)