Weight Spectra Induced Efficient Model Adaptation
PEFT from fully fine-tuning perspective
May 29, 2025
MAP: Revisiting Weight Decomposition for Low-Rank Adaptation
A PEFT Plugin
May 29, 2025
Revisiting Sparsity Constraint Under High-Rank Property in Partial Multi-Label Learning
A PML method
May 27, 2025
Why Can Accurate Models Be Learned from Inaccurate Annotations?
Explore why models can learn from noisy data.
May 22, 2025
NAN: A Training-Free Solution to Coefficient Estimation in Model Merging
Explore why models can learn from noisy data.
May 22, 2025
Generalized Tensor-based Parameter-Efficient Fine-Tuning via Lie Group Transformations
A PEFT method aiming to preserve the structural integrity of any-dimensional parameter space.
Apr 1, 2025
Unleashing the Power of Task-Specific Directions in Parameter Efficient Fine-tuning
A PEFT article which dives into the power of task-specific directions.
Jan 23, 2025
Unveiling the Mystery of Weight in Large Foundation Models: Gaussian Distribution Never Fades
Unveil the structure and behavior of weight in large foundation models.
Jan 20, 2025
See Further for Parameter Efficient Fine-tuning by Standing on the Shoulders of Decomposition
A generalized framework for parameter efficient fine-tuning.
Jul 7, 2024
Appeal: Allow Mislabeled Samples the Chance to be Rectified in Partial Label Learning
A novel strategy ''appeal'' of partial label learning.
Mar 28, 2024
Partial Label Learning with a Partner
A novel PLL framework based on a complementary classifier and a collaborative relationship.
Mar 24, 2024
Multi-label Classification with High-rank and High-order Label Correlations
A MLL approach exploiting high-order label correlation.
Sep 6, 2023
Complementary Classifier Induced Partial Label Learning
A PLL approach employing a complementary classifier for disambiguation.
Aug 4, 2023