self-attention layer

Attention, May I Have Your Decision? Localizing Generative Choices in Diffusion Models CVPR 2026 Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective JMLR 2026 Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion ICML 2025 Fundamental limits of learning in sequence multi-index models and deep attention networks: high-dimensional asymptotics and sharp thresholds ICML 2025 Pinco: Position-induced Consistent Adapter for Diffusion Transformer in Foreground-conditioned Inpainting ICCV 2025 Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models ICML 2025 Understanding and Enhancing Safety Mechanisms of LLMs via Safety-Specific Neuron ICLR 2025 Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer CVPR 2024 Generalizing RNN-Transducer to Out-Domain Audio via Sparse Self-Attention Layers Interspeech 2022 Are Transformers universal approximators of sequence-to-sequence functions? ICLR 2020 SqueezeBERT: What can computer vision teach NLP about efficient neural networks? EMNLP 2020 Are Sixteen Heads Really Better than One? NeurIPS 2019