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orthogonal constraint

19 papers

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Co-occurring keywords

representation learning (6206) stiefel manifold (29) orthogonality constraint (18) orthogonal matrix (29) low-rank adaptation (560) recurrent neural network (1790) riemannian optimization (89) laplacian embedding (2) depression detection (146) pedestrian attribute recognition (16)

Papers

Group Orthogonal Low-Rank Adaptation for RGB-T Tracking AAAI 2026
Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging ACL 2025
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
Selective and Orthogonal Feature Activation for Pedestrian Attribute Recognition AAAI 2024
QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization NIPS 2024
Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation ICML 2023
Towards Identifying Fine-Grained Depression Symptoms from Memes ACL 2023
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs AAAI 2022
Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training AAAI 2022
Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems AAAI 2021
Approximation Algorithms for Orthogonal Non-negative Matrix Factorization AISTATS 2021
Introducing Orthogonal Constraint in Structural Probes ACL 2021
MODE-LSTM: A Parameter-efficient Recurrent Network with Multi-Scale for Sentence Classification EMNLP 2020
Multi-view Spectral Clustering Network IJCAI 2019
Learning Strictly Orthogonal p-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted Method IJCAI 2019
Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group ICML 2019
Deep Neural Factorization for Speech Recognition INTERSPEECH 2017
Factorized Orthogonal Latent Spaces AISTATS 2010