orthogonal transformation

Calibrating and Rotating: A Unified Framework for Weight Conditioning in PEFT AAAI 2026 Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations CVPR 2026 MFL-Owner: Ownership Protection for Multi-modal Federated Learning via Orthogonal Transform Watermark AAAI 2025 OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting ICLR 2025 ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations ACL 2025 Achieving Lossless Gradient Sparsification via Mapping to Alternative Space in Federated Learning ICML 2024 Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem NeurIPS 2024 Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation ICML 2024 Biological Learning of Irreducible Representations of Commuting Transformations NeurIPS 2022 Orthogonal Graph Neural Networks AAAI 2022 Examining Cross-lingual Contextual Embeddings with Orthogonal Structural Probes EMNLP 2021 Orthogonal Over-Parameterized Training CVPR 2021 Structured Dropout Variational Inference for Bayesian Neural Networks NeurIPS 2021 Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs EMNLP 2021 Learning Efficient Task-Specific Meta-Embeddings with Word Prisms COLING 2020 UWB at SemEval-2020 Task 1: Lexical Semantic Change Detection SemEval 2020 Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization ACL 2019 Retrofitting Contextualized Word Embeddings with Paraphrases EMNLP 2019 Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space EMNLP 2019 Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks ICML 2018 Weighted Model Integration with Orthogonal Transformations IJCAI 2017