orthogonal constraint

Group Orthogonal Low-Rank Adaptation for RGB-T Tracking AAAI 2026 Learning Anchor in Dual Orthogonal Space for Fast Multi-view Clustering CVPR 2026 Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging ACL 2025 QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization NeurIPS 2024 Selective and Orthogonal Feature Activation for Pedestrian Attribute Recognition AAAI 2024 Simple Orthogonal Graph Representation Learning (Student Abstract) AAAI 2024 Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning AAAI 2024 Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint ICLR 2023 Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation ICML 2023 Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport ICLR 2023 Towards Identifying Fine-Grained Depression Symptoms from Memes ACL 2023 Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training AAAI 2022 Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs AAAI 2022 Approximation Algorithms for Orthogonal Non-negative Matrix Factorization AISTATS 2021 Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems AAAI 2021 Introducing Orthogonal Constraint in Structural Probes ACL 2021 MODE-LSTM: A Parameter-efficient Recurrent Network with Multi-Scale for Sentence Classification EMNLP 2020 Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group ICML 2019 Learning Strictly Orthogonal p-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted Method IJCAI 2019 Multi-view Spectral Clustering Network IJCAI 2019 Deep Neural Factorization for Speech Recognition Interspeech 2017 Factorized Orthogonal Latent Spaces AISTATS 2010