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Papers
Expandable and Differentiable Dual Memories with Orthogonal Regularization for Exemplar-free Continual Learning
AAAI 2026
Dianchi at SemEval-2025 Task 11: Multilabel Emotion Recognition via Orthogonal Knowledge Distillation
SemEval 2025
DisLoRA: Task-specific Low-Rank Adaptation via Orthogonal Basis from Singular Value Decomposition
EMNLP 2025
Efficient Pareto Manifold Learning with Low-Rank Structure
ICML 2024
Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization
NeurIPS 2024
POEM: Polarization of Embeddings for Domain-Invariant Representations
AAAI 2023
TO-Rawnet: Improving RawNet with TCN and Orthogonal Regularization for Fake Audio Detection
Interspeech 2023
Tucker Decomposition with Frequency Attention for Temporal Knowledge Graph Completion
ACL 2023
Ortho-Shot: Low Displacement Rank Regularization With Data Augmentation for Few-Shot Learning
WACV 2022
Towards an Effective Orthogonal Dictionary Convolution Strategy
AAAI 2022
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization
AAAI 2020
Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters
WACV 2020
CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis
EMNLP 2019
Large Scale GAN Training for High Fidelity Natural Image Synthesis
ICLR 2019
Can We Gain More from Orthogonality Regularizations in Training Deep Networks?
NeurIPS 2018