A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Hou, Yaxin, Jia, Yuheng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning
by: Hou, Yaxin, et al.
Published: (2025)
by: Hou, Yaxin, et al.
Published: (2025)
Beyond Distribution Estimation: Simplex Anchored Structural Inference Towards Universal Semi-Supervised Learning
by: Hou, Yaxin, et al.
Published: (2026)
by: Hou, Yaxin, et al.
Published: (2026)
DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning
by: Han, Bo, et al.
Published: (2025)
by: Han, Bo, et al.
Published: (2025)
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition
by: Zhou, Zi-Hao, et al.
Published: (2024)
by: Zhou, Zi-Hao, et al.
Published: (2024)
Decouple then Converge: Handling Unknown Unlabeled Distributions in Long-Tailed Semi-Supervised Learning
by: Gan, Kai, et al.
Published: (2024)
by: Gan, Kai, et al.
Published: (2024)
On Least Square Estimation in Softmax Gating Mixture of Experts
by: Nguyen, Huy, et al.
Published: (2024)
by: Nguyen, Huy, et al.
Published: (2024)
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning
by: Zheng, Hongwei, et al.
Published: (2024)
by: Zheng, Hongwei, et al.
Published: (2024)
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection
by: Tran, Phi Vu
Published: (2024)
by: Tran, Phi Vu
Published: (2024)
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning
by: Du, Chaoqun, et al.
Published: (2024)
by: Du, Chaoqun, et al.
Published: (2024)
Partitioned Least Squares
by: Esposito, Roberto, et al.
Published: (2020)
by: Esposito, Roberto, et al.
Published: (2020)
How to Square Tensor Networks and Circuits Without Squaring Them
by: Loconte, Lorenzo, et al.
Published: (2025)
by: Loconte, Lorenzo, et al.
Published: (2025)
Preserving Long-Tailed Expert Information in Mixture-of-Experts Tuning
by: He, Haoze, et al.
Published: (2026)
by: He, Haoze, et al.
Published: (2026)
Personalized Federated Learning on Heterogeneous and Long-Tailed Data via Expert Collaborative Learning
by: Lv, Fengling, et al.
Published: (2024)
by: Lv, Fengling, et al.
Published: (2024)
Language-Assisted Image Clustering Guided by Discriminative Relational Signals and Adaptive Semantic Centers
by: Ma, Jun, et al.
Published: (2026)
by: Ma, Jun, et al.
Published: (2026)
Transformers Don't In-Context Learn Least Squares Regression
by: Hill, Joshua, et al.
Published: (2025)
by: Hill, Joshua, et al.
Published: (2025)
Kernel Recursive Least Squares Dictionary Learning Algorithm
by: Alipoor, Ghasem, et al.
Published: (2025)
by: Alipoor, Ghasem, et al.
Published: (2025)
Subtractive Mixture Models via Squaring: Representation and Learning
by: Loconte, Lorenzo, et al.
Published: (2023)
by: Loconte, Lorenzo, et al.
Published: (2023)
Reward Learning through Ranking Mean Squared Error
by: Kharyal, Chaitanya, et al.
Published: (2026)
by: Kharyal, Chaitanya, et al.
Published: (2026)
On the Minimax Regret of Sequential Probability Assignment via Square-Root Entropy
by: Jia, Zeyu, et al.
Published: (2025)
by: Jia, Zeyu, et al.
Published: (2025)
A Solution to the Periodic Square Peg Problem
by: Hugelmeyer, Cole
Published: (2024)
by: Hugelmeyer, Cole
Published: (2024)
Label Distribution Learning using the Squared Neural Family on the Probability Simplex
by: Zhang, Daokun, et al.
Published: (2024)
by: Zhang, Daokun, et al.
Published: (2024)
PLeaS -- Merging Models with Permutations and Least Squares
by: Nasery, Anshul, et al.
Published: (2024)
by: Nasery, Anshul, et al.
Published: (2024)
Optimizing Estimators of Squared Calibration Errors in Classification
by: Gruber, Sebastian G., et al.
Published: (2024)
by: Gruber, Sebastian G., et al.
Published: (2024)
Fair Differentiable Neural Network Architecture Search for Long-Tailed Data with Self-Supervised Learning
by: Yan, Jiaming
Published: (2024)
by: Yan, Jiaming
Published: (2024)
Outlier-robust Autocovariance Least Square Estimation via Iteratively Reweighted Least Square
by: Li, Jiahong, et al.
Published: (2026)
by: Li, Jiahong, et al.
Published: (2026)
Sum of Squares Circuits
by: Loconte, Lorenzo, et al.
Published: (2024)
by: Loconte, Lorenzo, et al.
Published: (2024)
A Hybrid Federated Kernel Regularized Least Squares Algorithm
by: Damiani, Celeste, et al.
Published: (2024)
by: Damiani, Celeste, et al.
Published: (2024)
Online Multi-Task Learning with Recursive Least Squares and Recursive Kernel Methods
by: Lencione, Gabriel R., et al.
Published: (2023)
by: Lencione, Gabriel R., et al.
Published: (2023)
Semi-supervised Symmetric Non-negative Matrix Factorization with Low-Rank Tensor Representation
by: Jia, Yuheng, et al.
Published: (2024)
by: Jia, Yuheng, et al.
Published: (2024)
Leveraging Procedural Generation for Learning Autonomous Peg-in-Hole Assembly in Space
by: Orsula, Andrej, et al.
Published: (2024)
by: Orsula, Andrej, et al.
Published: (2024)
Squared families: Searching beyond regular probability models
by: Tsuchida, Russell, et al.
Published: (2025)
by: Tsuchida, Russell, et al.
Published: (2025)
Communication-Efficient l_0 Penalized Least Square
by: Gong, Chenqi, et al.
Published: (2025)
by: Gong, Chenqi, et al.
Published: (2025)
Exact Mean Square Linear Stability Analysis for SGD
by: Mulayoff, Rotem, et al.
Published: (2023)
by: Mulayoff, Rotem, et al.
Published: (2023)
On the Asymptotic Mean Square Error Optimality of Diffusion Models
by: Fesl, Benedikt, et al.
Published: (2024)
by: Fesl, Benedikt, et al.
Published: (2024)
In-Context Semi-Supervised Learning
by: Fan, Jiashuo, et al.
Published: (2025)
by: Fan, Jiashuo, et al.
Published: (2025)
Ordinary Least Squares as an Attention Mechanism
by: Coulombe, Philippe Goulet
Published: (2025)
by: Coulombe, Philippe Goulet
Published: (2025)
The Chi-Square Test of Distance Correlation
by: Shen, Cencheng, et al.
Published: (2019)
by: Shen, Cencheng, et al.
Published: (2019)
Robust Semi-Supervised Learning in Open Environments
by: Guo, Lan-Zhe, et al.
Published: (2024)
by: Guo, Lan-Zhe, et al.
Published: (2024)
A Machine Learning Framework for Weighted Least Squares GNSS Positioning based on Activation Functions
by: Lee, Pin-Hsun, et al.
Published: (2026)
by: Lee, Pin-Hsun, et al.
Published: (2026)
Towards Learning High-Precision Least Squares Algorithms with Sequence Models
by: Liu, Jerry, et al.
Published: (2025)
by: Liu, Jerry, et al.
Published: (2025)
Similar Items
-
Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning
by: Hou, Yaxin, et al.
Published: (2025) -
Beyond Distribution Estimation: Simplex Anchored Structural Inference Towards Universal Semi-Supervised Learning
by: Hou, Yaxin, et al.
Published: (2026) -
DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning
by: Han, Bo, et al.
Published: (2025) -
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition
by: Zhou, Zi-Hao, et al.
Published: (2024) -
Decouple then Converge: Handling Unknown Unlabeled Distributions in Long-Tailed Semi-Supervised Learning
by: Gan, Kai, et al.
Published: (2024)