output
20182026
most citedPVT v2: Improved Baselines with Pyramid Vision Transformer

2.4k citations

Showing 2023 · cs.LGShow all

5 papers · 2 filters

cs.LG2023★ 2 cited

Inclusive Data Representation in Federated Learning: A Novel Approach Integrating Textual and Visual Prompt

Zihao Zhao, Zhenpeng Shi, Yang Liu +1

Federated Learning (FL) is often impeded by communication overhead issues. Prompt tuning, as a potential solution, has been introduced to only adjust a few trainable parameters rat…

cs.LG2023

It Ain't That Bad: Understanding the Mysterious Performance Drop in OOD Generalization for Generative Transformer Models

Xingcheng Xu, Zihao Pan, Haipeng Zhang +1

Large language models (LLMs) have achieved remarkable proficiency on solving diverse problems. However, their generalization ability is not always satisfying and the generalization…

cs.LG2023★ 4 cited

HireVAE: An Online and Adaptive Factor Model Based on Hierarchical and Regime-Switch VAE

Zikai Wei, Anyi Rao, Bo Dai +1

Factor model is a fundamental investment tool in quantitative investment, which can be empowered by deep learning to become more flexible and efficient in practical complicated inv…

cs.LG2023★ 1 cited

Phase Diagram of Initial Condensation for Two-layer Neural Networks

Zhengan Chen, Yuqing Li, Tao Luo +2

The phenomenon of distinct behaviors exhibited by neural networks under varying scales of initialization remains an enigma in deep learning research. In this paper, based on the ea…

cs.LG2023★ 26 cited

Discriminative Radial Domain Adaptation

Zenan Huang, Jun Wen, Siheng Chen +2

Domain adaptation methods reduce domain shift typically by learning domain-invariant features. Most existing methods are built on distribution matching, e.g., adversarial domain ad…