Pin-Yu Chen

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 484

Top Venues

Publications

Ryan L'Abbate, Anthony D'Onofrio Jr., Samuel Stein, Samuel Yen-Chi Chen, Ang Li, Pin-Yu Chen, Juntao Chen, Ying Mao
A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity. CoRR (2024)
Chia-Yi Hsu, Yu-Lin Tsai, Chih-Hsun Lin, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang
Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models. CoRR (2024)
Ming-Yu Chung, Sheng-Yen Chou, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo, Tsung-Yi Ho
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective. ICLR (2024)
Changchang Yin, Pin-Yu Chen, Bingsheng Yao, Dakuo Wang, Jeffrey M. Caterino, Ping Zhang
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing. CoRR (2024)
Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Kshitij Bhardwaj, Vijay Janapa Reddi, Arijit Raychowdhury
MulBERRY: Enabling Bit-Error Robustness for Energy-Efficient Multi-Agent Autonomous Systems. ASPLOS (2) (2024)
Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Ruizhe Li, Chao Zhang, Pin-Yu Chen, Engsiong Chng
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition. ICLR (2024)
Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, Tianlong Chen
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark. CoRR (2024)
Andrew Geng, Pin-Yu Chen
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-Image Encoders. SaTML (2024)
Chen Chen, Ruizhe Li, Yuchen Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, EnSiong Chng, Chao-Han Huck Yang
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition. CoRR (2024)
Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho
Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration. Trans. Mach. Learn. Res. 2024 (2024)
Yan Liu, Yu Liu, Xiaokang Chen, Pin-Yu Chen, Daoguang Zan, Min-Yen Kan, Tsung-Yi Ho
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models. ICLR (2024)
Lin Lu, Hai Yan, Zenghui Yuan, Jiawen Shi, Wenqi Wei, Pin-Yu Chen, Pan Zhou
AutoJailbreak: Exploring Jailbreak Attacks and Defenses through a Dependency Lens. CoRR (2024)
Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie, Chih-Hsun Lin, Jia-You Chen, Bo Li, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang
Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models? ICLR (2024)
Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Ruizhe Li, Chao Zhang, Pin-Yu Chen, EnSiong Chng
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition. CoRR (2024)
Xiangyu Qi, Yangsibo Huang, Yi Zeng, Edoardo Debenedetti, Jonas Geiping, Luxi He, Kaixuan Huang, Udari Madhushani, Vikash Sehwag, Weijia Shi, Boyi Wei, Tinghao Xie, Danqi Chen, Pin-Yu Chen, Jeffrey Ding, Ruoxi Jia, Jiaqi Ma, Arvind Narayanan, Weijie J. Su, Mengdi Wang, Chaowei Xiao, Bo Li, Dawn Song, Peter Henderson, Prateek Mittal
AI Risk Management Should Incorporate Both Safety and Security. CoRR (2024)
Mohammed Nowaz Rabbani Chowdhury, Meng Wang, Kaoutar El Maghraoui, Naigang Wang, Pin-Yu Chen, Christopher D. Carothers
A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts. CoRR (2024)
Chaoyi Zhu, Jeroen Galjaard, Pin-Yu Chen, Lydia Y. Chen
Duwak: Dual Watermarks in Large Language Models. CoRR (2024)
Hsin-Ju Lin, Tsu-Chun Chung, Ching-Chun Hsiao, Pin-Yu Chen, Wei-Chen Chiu, Ching-Chun Huang
MENTOR: Multilingual tExt detectioN TOward leaRning by analogy. CoRR (2024)
Chi Hong, Robert Birke, Pin-Yu Chen, Lydia Y. Chen
On Dark Knowledge for Distilling Generators. PAKDD (2) (2024)
Hongkang Li, Meng Wang, Shuai Zhang, Sijia Liu, Pin-Yu Chen
Learning on Transformers is Provable Low-Rank and Sparse: A One-layer Analysis. CoRR (2024)
Pin-Yu Chen
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning. AAAI (2024)
Payel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarath Swaminathan, Sihui Dai, Aurélie C. Lozano, Georgios Kollias, Vijil Chenthamarakshan, Jirí Navrátil, Soham Dan, Pin-Yu Chen
Larimar: Large Language Models with Episodic Memory Control. CoRR (2024)
Zhenhan Huang, Tejaswini Pedapati, Pin-Yu Chen, Chunheng Jiang, Jianxi Gao
Graph is all you need? Lightweight data-agnostic neural architecture search without training. CoRR (2024)
Megh Thakkar, Quentin Fournier, Matthew D. Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques. CoRR (2024)
Ming-Chang Chiu, Yingfei Wang, Yen-Ju Kuo, Pin-Yu Chen
DDI-CoCo: A Dataset for Understanding the Effect of Color Contrast in Machine-Assisted Skin Disease Detection. ICASSP (2024)
Bharat Runwal, Tejaswini Pedapati, Pin-Yu Chen
From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers. CoRR (2024)
Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho
Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes. CoRR (2024)
Chen Chen, Ruizhe Li, Yuchen Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, Engsiong Chng, Chao-Han Huck Yang
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition. ICLR (2024)
Shengwei An, Sheng-Yen Chou, Kaiyuan Zhang, Qiuling Xu, Guanhong Tao, Guangyu Shen, Siyuan Cheng, Shiqing Ma, Pin-Yu Chen, Tsung-Yi Ho, Xiangyu Zhang
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift. AAAI (2024)
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chao Zhang, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
TrustLLM: Trustworthiness in Large Language Models. CoRR (2024)
Chaoyi Zhu, Jeroen Galjaard, Pin-Yu Chen, Lydia Y. Chen
Duwak: Dual Watermarks in Large Language Models. ACL (Findings) (2024)
Ming-Chang Chiu, Yingfei Wang, Yen-Ju Kuo, Pin-Yu Chen
DDI-CoCo: A Dataset For Understanding The Effect Of Color Contrast In Machine-Assisted Skin Disease Detection. CoRR (2024)
Yan Liu, Yu Liu, Xiaokang Chen, Pin-Yu Chen, Daoguang Zan, Min-Yen Kan, Tsung-Yi Ho
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Pre-trained Language Models. CoRR (2024)
Changchang Yin, Pin-Yu Chen, Bingsheng Yao, Dakuo Wang, Jeffrey M. Caterino, Ping Zhang
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing. KDD (2024)
Tsuyoshi Idé, Jokin Labaien, Pin-Yu Chen
Improving Transformers using Faithful Positional Encoding. CoRR (2024)
Shyam Marjit, Harshit Singh, Nityanand Mathur, Sayak Paul, Chia-Mu Yu, Pin-Yu Chen
DiffuseKronA: A Parameter Efficient Fine-tuning Method for Personalized Diffusion Models. CoRR (2024)
Swapnaja Achintalwar, Adriana Alvarado Garcia, Ateret Anaby-Tavor, Ioana Baldini, Sara E. Berger, Bishwaranjan Bhattacharjee, Djallel Bouneffouf, Subhajit Chaudhury, Pin-Yu Chen, Lamogha Chiazor, Elizabeth M. Daly, Rogério Abreu de Paula, Pierre L. Dognin, Eitan Farchi, Soumya Ghosh, Michael Hind, Raya Horesh, George Kour, Ja Young Lee, Erik Miehling, Keerthiram Murugesan, Manish Nagireddy, Inkit Padhi, David Piorkowski, Ambrish Rawat, Orna Raz, Prasanna Sattigeri, Hendrik Strobelt, Sarathkrishna Swaminathan, Christoph Tillmann, Aashka Trivedi, Kush R. Varshney, Dennis Wei, Shalisha Witherspoon, Marcel Zalmanovici
Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations. CoRR (2024)
Hongkang Li, Meng Wang, Tengfei Ma, Sijia Liu, Zaixi Zhang, Pin-Yu Chen
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding. CoRR (2024)
Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung, Che-Rung Lee
Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness. CoRR (2024)
Xiangyu Qi, Yi Zeng, Tinghao Xie, Pin-Yu Chen, Ruoxi Jia, Prateek Mittal, Peter Henderson
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To! ICLR (2024)
Chen Xiong, Xiangyu Qi, Pin-Yu Chen, Tsung-Yi Ho
Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs against Jailbreak Attacks. CoRR (2024)
Andrew Geng, Pin-Yu Chen
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-Image Encoders. CoRR (2024)
Hongkang Li, Shuai Zhang, Yihua Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen
How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance. CoRR (2024)
Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu
Stochastic inexact augmented Lagrangian method for nonconvex expectation constrained optimization. Comput. Optim. Appl. 87 (1) (2024)
Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung, Che-Rung Lee
Steal Now and Attack Later: Evaluating Robustness of Object Detection against Black-box Adversarial Attacks. CoRR (2024)
Shuai Zhang, Heshan Devaka Fernando, Miao Liu, Keerthiram Murugesan, Songtao Lu, Pin-Yu Chen, Tianyi Chen, Meng Wang
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning. CoRR (2024)
Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. ICLR (2024)
Wei Li, Pin-Yu Chen, Sijia Liu, Ren Wang
PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection. CoRR (2024)
Hsi-Ai Tsao, Lei Hsiung, Pin-Yu Chen, Si Liu, Tsung-Yi Ho
AutoVP: An Automated Visual Prompting Framework and Benchmark. ICLR (2024)
Megh Thakkar, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques. ACL (1) (2024)
Chulin Xie, Pin-Yu Chen, Qinbin Li, Arash Nourian, Ce Zhang, Bo Li
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM. SaTML (2024)
Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen
Training Nonlinear Transformers for Efficient In-Context Learning: A Theoretical Learning and Generalization Analysis. CoRR (2024)
Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Chengwei Qin, Pin-Yu Chen, Eng Siong Chng, Chao Zhang
Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models. CoRR (2024)
Ruoqi Liu, Pin-Yu Chen, Ping Zhang
CURE: A deep learning framework pre-trained on large-scale patient data for treatment effect estimation. Patterns 5 (6) (2024)
Yi-Shan Lan, Pin-Yu Chen, Tsung-Yi Ho
NaNa and MiGu: Semantic Data Augmentation Techniques to Enhance Protein Classification in Graph Neural Networks. CoRR (2024)
Heshan Devaka Fernando, Lisha Chen, Songtao Lu, Pin-Yu Chen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Gaowen Liu, Meng Wang, Tianyi Chen
Variance Reduction Can Improve Trade-Off in Multi-Objective Learning. ICASSP (2024)
Saiteja Utpala, Alex Gu, Pin-Yu Chen
Language Agnostic Code Embeddings. NAACL-HLT (2024)
Zhi-Yi Chin, Chieh-Ming Jiang, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu
Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where. WACV (2024)
Shengyun Peng, Pin-Yu Chen, Matthew Hull, Duen Horng Chau
Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models. CoRR (2024)
Vijay Sadashivaiah, Keerthiram Murugesan, Ronny Luss, Pin-Yu Chen, Chris R. Sims, James A. Hendler, Amit Dhurandhar
To Transfer or Not to Transfer: Suppressing Concepts from Source Representations. Trans. Mach. Learn. Res. 2024 (2024)
Zhiyuan He, Pin-Yu Chen, Tsung-Yi Ho
RIGID: A Training-free and Model-Agnostic Framework for Robust AI-Generated Image Detection. CoRR (2024)
Tsun-An Hsieh, Chao-Han Huck Yang, Pin-Yu Chen, Sabato Marco Siniscalchi, Yu Tsao
Inference and Denoise: Causal Inference-Based Neural Speech Enhancement. MLSP (2023)
Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen
A Theoretical Understanding of shallow Vision Transformers: Learning, Generalization, and Sample Complexity. CoRR (2023)
Shengwei An, Sheng-Yen Chou, Kaiyuan Zhang, Qiuling Xu, Guanhong Tao, Guangyu Shen, Siyuan Cheng, Shiqing Ma, Pin-Yu Chen, Tsung-Yi Ho, Xiangyu Zhang
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift. CoRR (2023)
Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring
Causalainer: Causal Explainer for Automatic Video Summarization. CoRR (2023)
Alex Gu, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
Certified Interpretability Robustness for Class Activation Mapping. CoRR (2023)
Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan
Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation. CoRR (2023)
Igor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, Devleena Das
Reprogramming Pretrained Language Models for Antibody Sequence Infilling. ICML (2023)
Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Pin-Yu Chen, Imdadullah Khan, Murray Patterson
Counterfactually Guided Policy Transfer in Clinical Settings. CHIL (2023)
Huzaifa Arif, Alex Gittens, Pin-Yu Chen
Reprogrammable-FL: Improving Utility-Privacy Tradeoff in Federated Learning via Model Reprogramming. SaTML (2023)
Dennis Wei, Haoze Wu, Min Wu, Pin-Yu Chen, Clark W. Barrett, Eitan Farchi
Convex Bounds on the Softmax Function with Applications to Robustness Verification. CoRR (2023)
Zaitang Li, Pin-Yu Chen, Tsung-Yi Ho
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models. CoRR (2023)
Chen Chen, Yuchen Hu, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Pin-Yu Chen, Chng Eng Siong
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models. NeurIPS (2023)
Neel Bhandari, Pin-Yu Chen
Lost In Translation: Generating Adversarial Examples Robust to Round-Trip Translation. CoRR (2023)
Yizhe Li, Yu-Lin Tsai, Chia-Mu Yu, Pin-Yu Chen, Xuebin Ren
Exploring the Benefits of Visual Prompting in Differential Privacy. ICCV (2023)
Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration. CoRR (2023)
Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung, Che-Rung Lee
Overload: Latency Attacks on Object Detection for Edge Devices. CoRR (2023)
Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Andrew Brown, Marcel Worring
Causal Video Summarizer for Video Exploration. CoRR (2023)
Mohammed Nowaz Rabbani Chowdhury, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks. ICML (2023)
Sarwan Ali, Pin-Yu Chen, Murray Patterson
Unveiling the Robustness of Machine Learning Models in Classifying COVID-19 Spike Sequences. ISBRA (2023)
Lei Hsiung, Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho
NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration. AAAI (2023)
Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho
How to Backdoor Diffusion Models? CVPR (2023)
Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. CoRR (2023)
Ming-Yu Chung, Sheng-Yen Chou, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo, Tsung-Yi Ho
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective. CoRR (2023)
Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks. ICML (2023)
Saiteja Utpala, Sara Hooker, Pin-Yu Chen
Locally Differentially Private Document Generation Using Zero Shot Prompting. CoRR (2023)
Hsin-Ju Lin, Tsu-Chun Chung, Ching-Chun Hsiao, Pin-Yu Chen, Wei-Chen Chiu, Ching-Chun Huang
MENTOR: Multilingual Text Detection Toward Learning by Analogy. IROS (2023)
Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Javier Tejedor
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Zhi-Yi Chin, Chieh-Ming Jiang, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu
Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where. CoRR (2023)
Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu
Robust Mixture-of-Expert Training for Convolutional Neural Networks. ICCV (2023)
Zhi-Yi Chin, Chieh-Ming Jiang, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu
Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts. CoRR (2023)
Chao-Han Huck Yang, Zhengling Qi, Yifan Cui, Pin-Yu Chen
Pessimistic Model Selection for Offline Deep Reinforcement Learning. UAI (2023)
Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression. CoRR (2023)
Chen Chen, Yuchen Hu, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Pin-Yu Chen, Eng Siong Chng
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models. CoRR (2023)
Farhad Mohsin, Ao Liu, Pin-Yu Chen, Francesca Rossi, Lirong Xia
Learning to Design Fair and Private Voting Rules (Extended Abstract). IJCAI (2023)
Xilong Wang, Chia-Mu Yu, Pin-Yu Chen
Exploring the Benefits of Differentially Private Pre-training and Parameter-Efficient Fine-tuning for Table Transformers. CoRR (2023)
Hao-Lun Sun, Lei Hsiung, Nandhini Chandramoorthy, Pin-Yu Chen, Tsung-Yi Ho
NeuralFuse: Learning to Improve the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes. CoRR (2023)
Chao-Han Huck Yang, I-Te Danny Hung, Yi-Chieh Liu, Pin-Yu Chen
Treatment Learning Causal Transformer for Noisy Image Classification. WACV (2023)
Yizhe Li, Yu-Lin Tsai, Xuebin Ren, Chia-Mu Yu, Pin-Yu Chen
Exploring the Benefits of Visual Prompting in Differential Privacy. CoRR (2023)
Minhao Cheng, Rui Min, Haochen Sun, Pin-Yu Chen
Identification of the Adversary from a Single Adversarial Example. ICML (2023)

Pin-Yu Chen.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Pin-Yu Chen