representation collapse

Collapse-Aware Regularization for Reliable Reasoning Under Distribution Shift UAI 2026 Countering Multi-modal Representation Collapse through Rank-targeted Fusion WACV 2026 D²PPO: Diffusion Policy Policy Optimization with Dispersive Loss AAAI 2026 From Selection to Scheduling: Federated Geometry-Aware Correction Makes Exemplar Replay Work Better under Continual Dynamic Heterogeneity CVPR 2026 MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models ACL 2026 Polymorphic Universal Transformer ACL 2026 Representation Collapse in Machine Translation Through the Lens of Angular Dispersion EACL 2026 Addressing Representation Collapse in Vector Quantized Models with One Linear Layer ICCV 2025 Maximal Matching Matters: Preventing Representation Collapse for Robust Cross-Modal Retrieval ACL 2025 Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning ICLR 2025 Statistical Advantages of Perturbing Cosine Router in Mixture of Experts ICLR 2025 Learning Successor Features the Simple Way NeurIPS 2024 No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO NeurIPS 2024 Relaxed Contrastive Learning for Federated Learning CVPR 2024 Transformers need glasses! Information over-squashing in language tasks NeurIPS 2024 UNSEE: Unsupervised Non-contrastive Sentence Embeddings EACL 2024 Representation Projection Invariance Mitigates Representation Collapse EMNLP 2023 Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation AAAI 2023 Deep Graph Clustering via Dual Correlation Reduction AAAI 2022 On the Representation Collapse of Sparse Mixture of Experts NeurIPS 2022 DROCC: Deep Robust One-Class Classification ICML 2020