Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Jingyang, Pan, Jiachun, Tan, Vincent Y. F., Toh, Kim-Chuan, Zhou, Pan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Understanding Why Data Augmentation Improves Generalization
by: Li, Jingyang, et al.
Published: (2025)
by: Li, Jingyang, et al.
Published: (2025)
Memory-Efficient 4-bit Preconditioned Stochastic Optimization
by: Li, Jingyang, et al.
Published: (2024)
by: Li, Jingyang, et al.
Published: (2024)
Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning
by: Ding, Kuangyu, et al.
Published: (2023)
by: Ding, Kuangyu, et al.
Published: (2023)
LoCo: Low-Bit Communication Adaptor for Large-scale Model Training
by: Xie, Xingyu, et al.
Published: (2024)
by: Xie, Xingyu, et al.
Published: (2024)
Enhancing Long Video Generation Consistency without Tuning
by: Li, Xingyao, et al.
Published: (2024)
by: Li, Xingyao, et al.
Published: (2024)
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
by: Pan, Jiachun, et al.
Published: (2023)
by: Pan, Jiachun, et al.
Published: (2023)
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning
by: Shi, Yujun, et al.
Published: (2022)
by: Shi, Yujun, et al.
Published: (2022)
Learning Graph Laplacian with MCP
by: Zhang, Yangjing, et al.
Published: (2020)
by: Zhang, Yangjing, et al.
Published: (2020)
On exploration of an interior mirror descent flow for stochastic nonconvex constrained problem
by: Ding, Kuangyu, et al.
Published: (2025)
by: Ding, Kuangyu, et al.
Published: (2025)
Asymptotically Optimal Linear Best Feasible Arm Identification with Fixed Budget
by: Bian, Jie, et al.
Published: (2025)
by: Bian, Jie, et al.
Published: (2025)
Why Does RL Generalize Better Than SFT? A Data-Centric Perspective on VLM Post-Training
by: Lu, Aojun, et al.
Published: (2026)
by: Lu, Aojun, et al.
Published: (2026)
Understanding Self-Supervised Learning via Latent Distribution Matching
by: Mikulasch, Fabian A, et al.
Published: (2026)
by: Mikulasch, Fabian A, et al.
Published: (2026)
BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms
by: Hou, Yunlong, et al.
Published: (2025)
by: Hou, Yunlong, et al.
Published: (2025)
Rashomon effect in Educational Research: Why More is Better Than One for Measuring the Importance of the Variables?
by: Kuzilek, Jakub, et al.
Published: (2024)
by: Kuzilek, Jakub, et al.
Published: (2024)
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
by: Shi, Yujun, et al.
Published: (2023)
by: Shi, Yujun, et al.
Published: (2023)
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
by: Zhang, Guibin, et al.
Published: (2024)
by: Zhang, Guibin, et al.
Published: (2024)
Optimal Best Arm Identification with Fixed Confidence in Restless Bandits
by: Karthik, P. N., et al.
Published: (2023)
by: Karthik, P. N., et al.
Published: (2023)
Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It
by: Xia, Guoxuan, et al.
Published: (2024)
by: Xia, Guoxuan, et al.
Published: (2024)
Toward Better Geometric Representations for Molecule Generative Models
by: Yan, Shaoheng, et al.
Published: (2026)
by: Yan, Shaoheng, et al.
Published: (2026)
Stochastic Subgradient Methods with Guaranteed Global Stability in Nonsmooth Nonconvex Optimization
by: Xiao, Nachuan, et al.
Published: (2023)
by: Xiao, Nachuan, et al.
Published: (2023)
Towards Understanding Neural Collapse: The Effects of Batch Normalization and Weight Decay
by: Pan, Leyan, et al.
Published: (2023)
by: Pan, Leyan, et al.
Published: (2023)
Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification
by: Liu, Shang, et al.
Published: (2024)
by: Liu, Shang, et al.
Published: (2024)
Towards Understanding Sensitive and Decisive Patterns in Explainable AI: A Case Study of Model Interpretation in Geometric Deep Learning
by: Zhu, Jiajun, et al.
Published: (2024)
by: Zhu, Jiajun, et al.
Published: (2024)
An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models
by: Pan, Yangchen, et al.
Published: (2024)
by: Pan, Yangchen, et al.
Published: (2024)
Adam-family Methods for Nonsmooth Optimization with Convergence Guarantees
by: Xiao, Nachuan, et al.
Published: (2023)
by: Xiao, Nachuan, et al.
Published: (2023)
Developing Lagrangian-based Methods for Nonsmooth Nonconvex Optimization
by: Xiao, Nachuan, et al.
Published: (2024)
by: Xiao, Nachuan, et al.
Published: (2024)
A General Framework for Clustering and Distribution Matching with Bandit Feedback
by: Yavas, Recep Can, et al.
Published: (2024)
by: Yavas, Recep Can, et al.
Published: (2024)
Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing
by: Wang, Xu, et al.
Published: (2025)
by: Wang, Xu, et al.
Published: (2025)
Position: Understanding LLMs Requires More Than Statistical Generalization
by: Reizinger, Patrik, et al.
Published: (2024)
by: Reizinger, Patrik, et al.
Published: (2024)
Bridge Matching Sampler: Scalable Sampling via Generalized Fixed-Point Diffusion Matching
by: Blessing, Denis, et al.
Published: (2026)
by: Blessing, Denis, et al.
Published: (2026)
Towards Better Statistical Understanding of Watermarking LLMs
by: Cai, Zhongze, et al.
Published: (2024)
by: Cai, Zhongze, et al.
Published: (2024)
FERRET: Private Deep Learning Faster And Better Than DPSGD
by: Zagardo, David
Published: (2025)
by: Zagardo, David
Published: (2025)
Fixed Budget is No Harder Than Fixed Confidence in Best-Arm Identification up to Logarithmic Factors
by: Balagopalan, Kapilan, et al.
Published: (2026)
by: Balagopalan, Kapilan, et al.
Published: (2026)
Optimal Multi-Objective Best Arm Identification with Fixed Confidence
by: Chen, Zhirui, et al.
Published: (2025)
by: Chen, Zhirui, et al.
Published: (2025)
Semi-Supervised Generative Learning via Latent Space Distribution Matching
by: Chong, Kwong Yu, et al.
Published: (2026)
by: Chong, Kwong Yu, et al.
Published: (2026)
Triplets Better Than Pairs: Towards Stable and Effective Self-Play Fine-Tuning for LLMs
by: Wang, Yibo, et al.
Published: (2026)
by: Wang, Yibo, et al.
Published: (2026)
Towards Better Understanding Attribution Methods
by: Rao, Sukrut, et al.
Published: (2022)
by: Rao, Sukrut, et al.
Published: (2022)
Are Greedy Task Orderings Better Than Random in Continual Linear Regression?
by: Tsipory, Matan, et al.
Published: (2025)
by: Tsipory, Matan, et al.
Published: (2025)
Accelerating nuclear-norm regularized low-rank matrix optimization through Burer-Monteiro decomposition
by: Lee, Ching-pei, et al.
Published: (2022)
by: Lee, Ching-pei, et al.
Published: (2022)
Continual-NExT: A Unified Comprehension And Generation Continual Learning Framework
by: Qiao, Jingyang, et al.
Published: (2026)
by: Qiao, Jingyang, et al.
Published: (2026)
Similar Items
-
Towards Understanding Why Data Augmentation Improves Generalization
by: Li, Jingyang, et al.
Published: (2025) -
Memory-Efficient 4-bit Preconditioned Stochastic Optimization
by: Li, Jingyang, et al.
Published: (2024) -
Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning
by: Ding, Kuangyu, et al.
Published: (2023) -
LoCo: Low-Bit Communication Adaptor for Large-scale Model Training
by: Xie, Xingyu, et al.
Published: (2024) -
Enhancing Long Video Generation Consistency without Tuning
by: Li, Xingyao, et al.
Published: (2024)