Saved in:
| Main Authors: | Ma, Jiangyan, Wang, Yifei, Wang, Yisen |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2310.18716 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Canonicalization Perspective on Invariant and Equivariant Learning
by: Ma, George, et al.
Published: (2024)
by: Ma, George, et al.
Published: (2024)
Dissecting the Failure of Invariant Learning on Graphs
by: Wang, Qixun, et al.
Published: (2024)
by: Wang, Qixun, et al.
Published: (2024)
An Augmentation Overlap Theory of Contrastive Learning
by: Zhang, Qi, et al.
Published: (2025)
by: Zhang, Qi, et al.
Published: (2025)
How to Craft Backdoors with Unlabeled Data Alone?
by: Wang, Yifei, et al.
Published: (2024)
by: Wang, Yifei, et al.
Published: (2024)
On the Limits of Sparse Autoencoders: A Theoretical Framework and Reweighted Remedy
by: Cui, Jingyi, et al.
Published: (2025)
by: Cui, Jingyi, et al.
Published: (2025)
A Signed Graph Approach to Understanding and Mitigating Oversmoothing in GNNs
by: Wang, Jiaqi, et al.
Published: (2025)
by: Wang, Jiaqi, et al.
Published: (2025)
On the Role of Discrete Tokenization in Visual Representation Learning
by: Du, Tianqi, et al.
Published: (2024)
by: Du, Tianqi, et al.
Published: (2024)
Do Generated Data Always Help Contrastive Learning?
by: Wang, Yifei, et al.
Published: (2024)
by: Wang, Yifei, et al.
Published: (2024)
Can In-context Learning Really Generalize to Out-of-distribution Tasks?
by: Wang, Qixun, et al.
Published: (2024)
by: Wang, Qixun, et al.
Published: (2024)
Long-Short Alignment for Effective Long-Context Modeling in LLMs
by: Du, Tianqi, et al.
Published: (2025)
by: Du, Tianqi, et al.
Published: (2025)
Adversarial Examples Are Not Real Features
by: Li, Ang, et al.
Published: (2023)
by: Li, Ang, et al.
Published: (2023)
Unfolded Laplacian Spectral Embedding: A Theoretically Grounded Approach to Dynamic Network Representation
by: Ezoe, Haruka, et al.
Published: (2025)
by: Ezoe, Haruka, et al.
Published: (2025)
A Theoretical Understanding of Self-Correction through In-context Alignment
by: Wang, Yifei, et al.
Published: (2024)
by: Wang, Yifei, et al.
Published: (2024)
Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining
by: Zhang, Qi, et al.
Published: (2024)
by: Zhang, Qi, et al.
Published: (2024)
Highly Efficient Rotation-Invariant Spectral Embedding for Scalable Incomplete Multi-View Clustering
by: Wang, Xinxin, et al.
Published: (2025)
by: Wang, Xinxin, et al.
Published: (2025)
Non-negative Contrastive Learning
by: Wang, Yifei, et al.
Published: (2024)
by: Wang, Yifei, et al.
Published: (2024)
LANPO: Bootstrapping Language and Numerical Feedback for Reinforcement Learning in LLMs
by: Li, Ang, et al.
Published: (2025)
by: Li, Ang, et al.
Published: (2025)
G1: Teaching LLMs to Reason on Graphs with Reinforcement Learning
by: Guo, Xiaojun, et al.
Published: (2025)
by: Guo, Xiaojun, et al.
Published: (2025)
Projection Head is Secretly an Information Bottleneck
by: Ouyang, Zhuo, et al.
Published: (2025)
by: Ouyang, Zhuo, et al.
Published: (2025)
Pretraining Induces a Reusable Spectral Basis for Downstream Task Adaptation
by: Yu, Junjie, et al.
Published: (2026)
by: Yu, Junjie, et al.
Published: (2026)
Learning the Basis: A Kolmogorov-Arnold Network Approach Embedding Green's Function Priors
by: Zhu, Rui, et al.
Published: (2025)
by: Zhu, Rui, et al.
Published: (2025)
MINTS: Minimalist Thompson Sampling
by: Wang, Kaizheng
Published: (2026)
by: Wang, Kaizheng
Published: (2026)
OLion: Approaching the Hadamard Ideal by Intersecting Spectral and $\ell_{\infty}$ Implicit Biases
by: Wang, Zixiao, et al.
Published: (2026)
by: Wang, Zixiao, et al.
Published: (2026)
Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds
by: Wang, Zhiyong, et al.
Published: (2024)
by: Wang, Zhiyong, et al.
Published: (2024)
A Minimalist Bayesian Framework for Stochastic Optimization
by: Wang, Kaizheng
Published: (2025)
by: Wang, Kaizheng
Published: (2025)
A Minimalist Prompt for Zero-Shot Policy Learning
by: Song, Meng, et al.
Published: (2024)
by: Song, Meng, et al.
Published: (2024)
Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations
by: Wei, Zeming, et al.
Published: (2023)
by: Wei, Zeming, et al.
Published: (2023)
A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce
by: Xiong, Wei, et al.
Published: (2025)
by: Xiong, Wei, et al.
Published: (2025)
Beyond Mapping : Domain-Invariant Representations via Spectral Embedding of Optimal Transport Plans
by: Saoud, Abdel Djalil Sad, et al.
Published: (2026)
by: Saoud, Abdel Djalil Sad, et al.
Published: (2026)
When More is Less: Understanding Chain-of-Thought Length in LLMs
by: Wu, Yuyang, et al.
Published: (2025)
by: Wu, Yuyang, et al.
Published: (2025)
SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters
by: Xiao, Teng, et al.
Published: (2025)
by: Xiao, Teng, et al.
Published: (2025)
Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness
by: Zhang, Qi, et al.
Published: (2024)
by: Zhang, Qi, et al.
Published: (2024)
LISA: Laplacian In-context Spectral Analysis
by: Candanedo, Julio
Published: (2026)
by: Candanedo, Julio
Published: (2026)
Incorporating Arbitrary Matrix Group Equivariance into KANs
by: Hu, Lexiang, et al.
Published: (2024)
by: Hu, Lexiang, et al.
Published: (2024)
An Augmentation-Aware Theory for Self-Supervised Contrastive Learning
by: Cui, Jingyi, et al.
Published: (2025)
by: Cui, Jingyi, et al.
Published: (2025)
B3C: A Minimalist Approach to Offline Multi-Agent Reinforcement Learning
by: Kim, Woojun, et al.
Published: (2025)
by: Kim, Woojun, et al.
Published: (2025)
Homomorphism Expressivity of Spectral Invariant Graph Neural Networks
by: Gai, Jingchu, et al.
Published: (2025)
by: Gai, Jingchu, et al.
Published: (2025)
GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs
by: Wang, Hewen, et al.
Published: (2025)
by: Wang, Hewen, et al.
Published: (2025)
Diminishing Exploration: A Minimalist Approach to Piecewise Stationary Multi-Armed Bandits
by: Li, Kuan-Ta, et al.
Published: (2024)
by: Li, Kuan-Ta, et al.
Published: (2024)
Complex-Valued GNNs for Distributed Basis-Invariant Control of Planar Systems
by: Honor, Samuel, et al.
Published: (2026)
by: Honor, Samuel, et al.
Published: (2026)
Similar Items
-
A Canonicalization Perspective on Invariant and Equivariant Learning
by: Ma, George, et al.
Published: (2024) -
Dissecting the Failure of Invariant Learning on Graphs
by: Wang, Qixun, et al.
Published: (2024) -
An Augmentation Overlap Theory of Contrastive Learning
by: Zhang, Qi, et al.
Published: (2025) -
How to Craft Backdoors with Unlabeled Data Alone?
by: Wang, Yifei, et al.
Published: (2024) -
On the Limits of Sparse Autoencoders: A Theoretical Framework and Reweighted Remedy
by: Cui, Jingyi, et al.
Published: (2025)