feature collapse

Distributional Deep Gaussian Processes UAI 2026 Diversity over Uniformity: Rethinking Representation in Generated Image Detection CVPR 2026 Enhancing Out-of-Distribution Detection with Extended Logit Normalization CVPR 2026 TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts CVPR 2026 Exploring a Principled Framework for Deep Subspace Clustering ICLR 2025 Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks AISTATS 2025 Attacking Transformers with Feature Diversity Adversarial Perturbation AAAI 2024 Neural Collapse To Multiple Centers For Imbalanced Data NeurIPS 2024 Unsupervised Representation Learning by Balanced Self Attention Matching ECCV 2024 Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism ICLR 2023 Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning NeurIPS 2023 An Investigation into Whitening Loss for Self-supervised Learning NeurIPS 2022 Exploring the Gap between Collapsed & Whitened Features in Self-Supervised Learning ICML 2022 Augmented Shortcuts for Vision Transformers NeurIPS 2021