OSR: Output Space Redistribution for Adaptive Label Removal in Classification Models

arXiv:2609.03972 · cs.LG · Submitted 2026-09-03 · Read on arXiv

cs.LG

Submitted: 2026-09-03

Updated: 2026-09-03

Comments: Accepted by ICA3PP 2026

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 13× in this paper · explained in 1 episode
• Machine Unlearning — 12× in this paper · explained in 2 episodes
• Transformer — 7× in this paper · explained in 2 episodes
• Adaptation — 4× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 3× in this paper
• Consistency — 3× in this paper · explained in 3 episodes
• Distillation — 3× in this paper · explained in 2 episodes
• Loss Function — 3× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Catastrophic Forgetting — 2× in this paper · explained in 5 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• International Conference on Learning Representations — 2× in this paper
• Knowledge Distillation — 2× in this paper · explained in 11 episodes
• Model-Agnostic — 2× in this paper · explained in 2 episodes
• North American Industry Classification System — 2× in this paper
• Alignment — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Hierarchical Classification — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• Striving for Simplicity: The All Convolutional Net
• Machine Unlearning of Features and Labels

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