Yen-Chang Hsu

发表

Student F ( · ) Teacher ( pre-trained ) dog { l i :

Zheng Xu, Yen-Chang Hsu, 2017 .

Language model compression with weighted low-rank factorization

Hongxia Jin, Yen-Chang Hsu, Ting Hua, 2022, ICLR.

Lite-MDETR: A Lightweight Multi-Modal Detector

B. Uzkent, Qian Lou, Yen-Chang Hsu, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

DictFormer: Tiny Transformer with Shared Dictionary

Hongxia Jin, Qian Lou, Yen-Chang Hsu, 2022, ICLR.

Numerical Optimizations for Weighted Low-rank Estimation on Language Model

Hongxia Jin, Yen-Chang Hsu, Ting Hua, 2022, ArXiv.

Training Shallow and Thin Networks for Acceleration via Knowledge Distillation with Conditional Adversarial Networks

Zheng Xu, Jiawei Huang, Yen-Chang Hsu, 2017, ICLR.

Training Student Networks for Acceleration with Conditional Adversarial Networks

Zheng Xu, Jiawei Huang, Yen-Chang Hsu, 2018, BMVC.

Learning Loss for Knowledge Distillation with Conditional Adversarial Networks pdf

Jiawei Huang, Zheng Xu, Yen-Chang Hsu, 2017, ArXiv.

Multi-class Classification without Multi-class Labels pdf

Zsolt Kira, Zhaoyang Lv, Phillip Odom, 2019, ICLR.

Learning to cluster in order to Transfer across domains and tasks pdf

Zsolt Kira, Zhaoyang Lv, Yen-Chang Hsu, 2017, ICLR.

Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning pdf

Hongxia Jin, Zsolt Kira, Yen-Chang Hsu, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines pdf

Yen-Cheng Liu, Zsolt Kira, Yen-Chang Hsu, 2018, ArXiv.

A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition pdf

Zsolt Kira, Yen-Chang Hsu, Dylan Yung, 2021, NeurIPS.

Posterior Re-calibration for Imbalanced Datasets pdf

Yen-Cheng Liu, Zsolt Kira, Yen-Chang Hsu, 2020, NeurIPS.

Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA

Z. Kira, Yen-Chang Hsu, James Smith, 2023, ArXiv.

Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data

Z. Kira, Hongxia Jin, Yilin Shen, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer

Jonathan C. Balloch, Z. Kira, Yen-Chang Hsu, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Enhancing the generalization for Intent Classification and Out-of-Domain Detection in SLU

Hongxia Jin, Yen-Chang Hsu, Yilin Shen, 2021, ACL.

Learning to Cluster for Proposal-Free Instance Segmentation

Zheng Xu, Jiawei Huang, Zsolt Kira, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

A Closer Look at Rehearsal-Free Continual Learning *

Z. Kira, Yen-Chang Hsu, James Smith, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Neural network-based clustering using pairwise constraints pdf

Zsolt Kira, Yen-Chang Hsu, Z. Kira, 2015, ArXiv.

A probabilistic constrained clustering for transfer learning and image category discovery pdf

Zsolt Kira, Zhaoyang Lv, Phillip Odom, 2018, ArXiv.

Deep Image Category Discovery using a Transferred Similarity Function pdf

Zsolt Kira, Zhaoyang Lv, Yen-Chang Hsu, 2016, ArXiv.

Numerical Optimizations for Weighted Low-rank Estimation on Language Models

Hongxia Jin, Yen-Chang Hsu, Ting Hua, 2022, Conference on Empirical Methods in Natural Language Processing.

A Closer Look at Knowledge Distillation with Features, Logits, and Gradients

Z. Kira, Hongxia Jin, Yen-Chang Hsu, 2022, ArXiv.

Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding

Hongxia Jin, Yen-Chang Hsu, Yilin Shen, 2021, NAACL.

Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning -Supplementary Materials (Appendix)-

Jonathan C. Balloch, Hongxia Jin, Z. Kira, 2021 .

Learning to cluster in order to Transfer across domains and tasks

Z. Kira, Yen-Chang Hsu, Zhaoyang Lv, 2017, ICLR.

Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters

Z. Kira, Yen-Chang Hsu, Yilin Shen, 2023, ArXiv.

Token Fusion: Bridging the Gap between Token Pruning and Token Merging

Yen-Chang Hsu, Yilin Shen, Minchul Kim, 2023, 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).