:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wu, Chengfeng, Zou, Tao, Wu, Yanru, Wang, Jingge
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	https://arxiv.org/abs/2606.02221
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rep-MTL: Unleashing the Power of Representation-level Task Saliency for Multi-Task Learning
by: Wang, Zedong, et al.
Published: (2025)

Towards Robust Neural Networks via Orthogonal Diversity
by: Fang, Kun, et al.
Published: (2020)

Training Without Orthogonalization, Inference With SVD: A Gradient Analysis of Rotation Representations
by: Choy, Chris
Published: (2026)

Generalization of Diffusion Models Arises with a Balanced Representation Space
by: Zhang, Zekai, et al.
Published: (2025)

CORE: Code-based Inverse Self-Training Framework with Graph Expansion for Virtual Agents
by: Wang, Keyu, et al.
Published: (2026)

AdapMTL: Adaptive Pruning Framework for Multitask Learning Model
by: Xiang, Mingcan, et al.
Published: (2024)

Balancing Multimodal Domain Generalization via Gradient Modulation and Projection
by: Li, Hongzhao, et al.
Published: (2026)

FG-OrIU: Towards Better Forgetting via Feature-Gradient Orthogonality for Incremental Unlearning
by: Feng, Qian, et al.
Published: (2026)

CauSkelNet: Causal Representation Learning for Human Behaviour Analysis
by: Gu, Xingrui, et al.
Published: (2024)

Rethinking Inter-LoRA Orthogonality in Adapter Merging: Insights from Orthogonal Monte Carlo Dropout
by: Zhang, Andi, et al.
Published: (2025)

Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge
by: Wang, Jingge, et al.
Published: (2022)

DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data
by: Ye, Hanrong, et al.
Published: (2024)

Robust Data Clustering with Outliers via Transformed Tensor Low-Rank Representation
by: Wu, Tong
Published: (2023)

Compositional Generalization Requires Linear, Orthogonal Representations in Vision Embedding Models
by: Uselis, Arnas, et al.
Published: (2026)

Octopus: History-Free Gradient Orthogonalization for Continual Learning in Multimodal Large Language Models
by: Liu, Yuehao, et al.
Published: (2026)

MTL-UE: Learning to Learn Nothing for Multi-Task Learning
by: Yu, Yi, et al.
Published: (2025)

Improving Hyperbolic Representations via Gromov-Wasserstein Regularization
by: Yang, Yifei, et al.
Published: (2024)

MTL-MAD: Multi-Task Learners are Effective Medical Anomaly Detectors
by: Bercean, Bogdan Alexandru, et al.
Published: (2026)

Gradient Extrapolation for Debiased Representation Learning
by: Asaad, Ihab, et al.
Published: (2025)

Decouple and Orthogonalize: A Data-Free Framework for LoRA Merging
by: Zheng, Shenghe, et al.
Published: (2025)

Enhancing Diffusion Model Stability for Image Restoration via Gradient Management
by: Wu, Hongjie, et al.
Published: (2025)

Rethinking Positive Pairs in Contrastive Learning
by: Wu, Jiantao, et al.
Published: (2024)

Unsupervised Representation Learning by Balanced Self Attention Matching
by: Shalam, Daniel, et al.
Published: (2024)

RobuMTL: Enhancing Multi-Task Learning Robustness Against Weather Conditions
by: Shaffee, Tasneem, et al.
Published: (2026)

SPAC-Net: Rethinking Point Cloud Completion with Structural Prior
by: Wu, Zizhao, et al.
Published: (2024)

Rethinking Amortized Neural Representations for High-Resolution Terrain Elevation Data
by: Feng, Haoan, et al.
Published: (2026)

Learning an Efficient Optimizer via Hybrid-Policy Sub-Trajectory Balance
by: Guan, Yunchuan, et al.
Published: (2025)

Federated Balanced Learning
by: Li, Jiaze, et al.
Published: (2026)

SwordBench: Evaluating Orthogonality of Steering Image Representations
by: Zaigrajew, Vladimir, et al.
Published: (2026)

Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient
by: Wu, Yongliang, et al.
Published: (2024)

Foster Adaptivity and Balance in Learning with Noisy Labels
by: Sheng, Mengmeng, et al.
Published: (2024)

Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective
by: Zhang, Yanan, et al.
Published: (2024)

Inductive Gradient Adjustment For Spectral Bias In Implicit Neural Representations
by: Shi, Kexuan, et al.
Published: (2024)

MTL-Split: Multi-Task Learning for Edge Devices using Split Computing
by: Capogrosso, Luigi, et al.
Published: (2024)

Refine and Purify: Orthogonal Basis Optimization with Null-Space Denoising for Conditional Representation Learning
by: Wang, Jiaquan, et al.
Published: (2026)

Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent
by: Wu, Junda, et al.
Published: (2025)

BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning
by: Li, Lan, et al.
Published: (2025)

Unsupervised Feature Orthogonalization for Learning Distortion-Invariant Representations
by: Doerrich, Sebastian, et al.
Published: (2024)

Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective
by: Lu, Aojun, et al.
Published: (2025)

A Wander Through the Multimodal Landscape: Efficient Transfer Learning via Low-rank Sequence Multimodal Adapter
by: Guo, Zirun, et al.
Published: (2024)