Pin-Yu Chen - researchr alias

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Viewing Publication 1 - 100 from 286

2024

Time-LLM: Time Series Forecasting by Reprogramming Large Language ModelsMing Jin 0005, Shiyu Wang 0001, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen. iclr 2024: [doi]

SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement LearningShuai Zhang 0015, Heshan Devaka Fernando, Miao Liu, Keerthiram Murugesan, Songtao Lu, Pin-Yu Chen, Tianyi Chen, Meng Wang 0003. icml 2024: [doi]

It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech RecognitionChen Chen 0075, Ruizhe Li 0001, Yuchen Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, Engsiong Chng, Chao-Han Huck Yang. iclr 2024: [doi]

Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution ShiftShengwei An, Sheng-Yen Chou, Kaiyuan Zhang 0002, Qiuling Xu, Guanhong Tao 0001, Guangyu Shen, Siyuan Cheng 0005, ShiQing Ma, Pin-Yu Chen, Tsung-Yi Ho, Xiangyu Zhang. AAAI 2024: 10847-10855 [doi]

Model Reprogramming: Resource-Efficient Cross-Domain Machine LearningPin-Yu Chen. AAAI 2024: 22584-22591 [doi]

Latency Attack Resilience in Object Detectors: Insights from Computing ArchitectureErh-Chung Chen, Pin-Yu Chen, I-Hsin Chung, Che-Rung Lee. ACCV 2025: 229-245 [doi]

Overload: Latency Attacks on Object Detection for Edge DevicesErh-Chung Chen, Pin-Yu Chen, I-Hsin Chung, Che-Rung Lee. cvpr 2024: 24716-24725 [doi]

Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic PromptsZhi-Yi Chin, Chieh-Ming Jiang, Ching-Chun Huang, Pin-Yu Chen, Wei-chen Chiu. icml 2024: [doi]

Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You WhereZhi-Yi Chin, Chieh-Ming Jiang, Ching-Chun Huang, Pin-Yu Chen, Wei-chen Chiu. wacv 2024: 2749-2758 [doi]

DDI-CoCo: A Dataset for Understanding the Effect of Color Contrast in Machine-Assisted Skin Disease DetectionMing-Chang Chiu, Yingfei Wang, Yen-Ju Kuo, Pin-Yu Chen. icassp 2024: 6905-6909 [doi]

A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-ExpertsMohammed Nowaz Rabbani Chowdhury, Meng Wang 0003, Kaoutar El Maghraoui, Naigang Wang, Pin-Yu Chen, Christopher D. Carothers. icml 2024: [doi]

Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method PerspectiveMing-Yu Chung, Sheng-Yen Chou, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo, Tsung-Yi Ho. iclr 2024: [doi]

Larimar: Large Language Models with Episodic Memory ControlPayel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarathkrishna Swaminathan, Sihui Dai, Aurélie C. Lozano, Georgios Kollias, Vijil Chenthamarakshan, Jirí Navrátil 0001, Soham Dan, Pin-Yu Chen. icml 2024: [doi]

Model Agnostic Contrastive Explanations for Classification ModelsAmit Dhurandhar, Tejaswini Pedapati, Avinash Balakrishnan, Pin-Yu Chen, Karthikeyan Shanmugam, Ruchir Puri. esticas, 14(4):789-798, December 2024. [doi]

Variance Reduction Can Improve Trade-Off in Multi-Objective LearningHeshan Devaka Fernando, Lisha Chen, Songtao Lu, Pin-Yu Chen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Gaowen Liu, Meng Wang 0003, Tianyi Chen. icassp 2024: 6975-6979 [doi]

Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-Image EncodersAndrew Geng, Pin-Yu Chen. satml 2024: 552-568 [doi]

Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised LearningZhiyuan He, Yijun Yang, Pin-Yu Chen, Qiang Xu 0001, Tsung-Yi Ho. icml 2024: [doi]

On Dark Knowledge for Distilling GeneratorsChi Hong, Robert Birke, Pin-Yu Chen, Lydia Y. Chen. pakdd 2024: 235-247 [doi]

Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language ModelsChia-Yi Hsu, Yu-Lin Tsai, Chih-Hsun Lin, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang. nips 2024: [doi]

Large Language Models are Efficient Learners of Noise-Robust Speech RecognitionYuchen Hu, Chen Chen 0075, Chao-Han Huck Yang, Ruizhe Li 0001, Chao Zhang 0031, Pin-Yu Chen, Engsiong Chng. iclr 2024: [doi]

Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss LandscapesXiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho. nips 2024: [doi]

Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation ModelsYuchen Hu, Chen Chen, Chao-Han Yang, Chengwei Qin, Pin-Yu Chen, Engsiong Chng, Chao Zhang. nips 2024: [doi]

Guest Editorial: Toward Trustworthy AI: Advances in Circuits, Systems, and ApplicationsShih-Hsu Huang, Pin-Yu Chen, Stjepan Picek, Chip-Hong Chang. esticas, 14(4):577-581, December 2024. [doi]

Position: TrustLLM: Trustworthiness in Large Language ModelsYue Huang, Lichao Sun 0001, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang 0001, Huan Zhang 0001, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang 0001, Mohit Bansal, James Zou 0001, Jian Pei, Jian Liu, Jianfeng Gao 0001, Jiawei Han 0001, Jieyu Zhao, Jiliang Tang, Jindong Wang 0001, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He 0001, Lifu Huang, Michael Backes 0001, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu 0001, Tianyi Zhou 0001, William Wang 0001, Xiang Li 0001, Xiangliang Zhang 0001, Xiao Wang, Xing Xie 0001, Xun Chen, Xuyu Wang, Yan Liu 0002, Yanfang Ye 0001, Yinzhi Cao, Yong Chen, Yue Zhao 0016. icml 2024: [doi]

What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian BenchmarksChing Yun Ko, Pin-Yu Chen, Payel Das, Jeet Mohapatra, Luca Daniel. icml 2024: [doi]

Learning on Transformers is Provable Low-Rank and Sparse: A One-layer AnalysisHongkang Li, Meng Wang 0003, Shuai Zhang 0015, Sijia Liu 0001, Pin-Yu Chen. ieeesam 2024: 1-5 [doi]

What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional EncodingHongkang Li, Meng Wang 0003, Tengfei Ma, Sijia Liu 0001, Zaixi Zhang, Pin-Yu Chen. icml 2024: [doi]

How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?Hongkang Li, Meng Wang 0003, Songtao Lu, Xiaodong Cui, Pin-Yu Chen. icml 2024: [doi]

Stochastic inexact augmented Lagrangian method for nonconvex expectation constrained optimizationZichong Li, Pin-Yu Chen, Sijia Liu 0001, Songtao Lu, Yangyang Xu. coap, 87(1):117-147, January 2024. [doi]

Correction to: Stochastic inexact augmented Lagrangian method for nonconvex expectation constrained optimizationZichong Li, Pin-Yu Chen, Sijia Liu 0001, Songtao Lu, Yangyang Xu. coap, 89(2):575-578, November 2024. [doi]

GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative ModelsZaitang Li, Pin-Yu Chen, Tsung-Yi Ho. nips 2024: [doi]

CURE: A deep learning framework pre-trained on large-scale patient data for treatment effect estimationRuoqi Liu, Pin-Yu Chen, Ping Zhang. patterns, 5(6):100973, 2024. [doi]

The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language ModelsYan Liu, Yu Liu, Xiaokang Chen, Pin-Yu Chen, Daoguang Zan, Min-Yen Kan, Tsung-Yi Ho. iclr 2024: [doi]

Uncovering the Hidden Cost of Model CompressionDiganta Misra, Muawiz Chaudhary, Agam Goyal, Bharat Runwal, Pin-Yu Chen. cvpr 2024: 1611-1621 [doi]

Computational Complexity of Verifying the Group No-show ParadoxFarhad Mohsin, Qishen Han, Sikai Ruan, Pin-Yu Chen, Francesca Rossi 0001, Lirong Xia. IJCAI 2024: 2958-2966 [doi]

Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language ModelsShengyun Peng, Pin-Yu Chen, Matthew Hull, Duen Horng Chau. nips 2024: [doi]

Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!Xiangyu Qi, Yi Zeng 0005, Tinghao Xie, Pin-Yu Chen, Ruoxi Jia 0001, Prateek Mittal, Peter Henderson 0002. iclr 2024: [doi]

To Transfer or Not to Transfer: Suppressing Concepts from Source RepresentationsVijay Sadashivaiah, Keerthiram Murugesan, Ronny Luss, Pin-Yu Chen, Chris R. Sims, James A. Hendler, Amit Dhurandhar. tmlr, 2024, 2024. [doi]

NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage RegimesHao-Lun Sun, Lei Hsiung, Nandhini Chandramoorthy, Pin-Yu Chen, Tsung-Yi Ho. nips 2024: [doi]

Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network CalibrationYung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho. tmlr, 2024, 2024. [doi]

A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment TechniquesMegh Thakkar, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar. acl 2024: 5732-5745 [doi]

Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie, Chih-Hsun Lin, Jia-You Chen, Bo Li 0026, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang. iclr 2024: [doi]

AutoVP: An Automated Visual Prompting Framework and BenchmarkHsi-Ai Tsao, Lei Hsiung, Pin-Yu Chen, Si Liu 0001, Tsung-Yi Ho. iclr 2024: [doi]

Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time SeriesAsterios Tsiourvas, Wei Sun 0031, Georgia Perakis, Pin-Yu Chen, Yada Zhu. icml 2024: [doi]

Language Agnostic Code EmbeddingsSaiteja Utpala, Alex Gu, Pin-Yu Chen. naacl 2014: 678-691 [doi]

MulBERRY: Enabling Bit-Error Robustness for Energy-Efficient Multi-Agent Autonomous SystemsZishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Kshitij Bhardwaj, Vijay Janapa Reddi, Arijit Raychowdhury. asplos 2024: 746-762 [doi]

Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMMChulin Xie, Pin-Yu Chen, Qinbin Li, Arash Nourian, Ce Zhang 0001, Bo Li. satml 2024: 443-471 [doi]

SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active SensingChangchang Yin, Pin-Yu Chen, Bingsheng Yao, Dakuo Wang, Jeffrey M. Caterino, Ping Zhang 0016. kdd 2024: 6158-6168 [doi]

Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A BenchmarkYihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong 0001, Zhangyang Wang, Sijia Liu 0001, Tianlong Chen. icml 2024: [doi]

An Overview of Trustworthy AI: Advances in IP Protection, Privacy-Preserving Federated Learning, Security Verification, and GAI Safety AlignmentYue Zheng, Chip-Hong Chang, Shih-Hsu Huang, Pin-Yu Chen, Stjepan Picek. esticas, 14(4):582-607, December 2024. [doi]

Duwak: Dual Watermarks in Large Language ModelsChaoyi Zhu, Jeroen Galjaard, Pin-Yu Chen, Lydia Y. Chen. acl 2014: 11416-11436 [doi]

2023

FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated LearningKaiyuan Zhang 0002, Guanhong Tao, Qiuling Xu, Siyuan Cheng 0005, Shengwei An, Yingqi Liu, Shiwei Feng 0002, Guangyu Shen, Pin-Yu Chen, ShiQing Ma, Xiangyu Zhang 0001. iclr 2023: [doi]

Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech ProcessingJun Qi 0002, Chao-Han Huck Yang, Pin-Yu Chen, Javier Tejedor. taslp, 31:633-642, 2023. [doi]

On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy ExplorationShuai Zhang 0015, Hongkang Li, Meng Wang 0003, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury. nips 2023: [doi]

Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural NetworksShuai Zhang 0015, Meng Wang 0003, Pin-Yu Chen, Sijia Liu 0001, Songtao Lu, Miao Liu. iclr 2023: [doi]

HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language ModelsChen Chen 0075, Yuchen Hu, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Pin-Yu Chen, Chng Eng Siong. nips 2023: [doi]

Unveiling the Robustness of Machine Learning Models in Classifying COVID-19 Spike SequencesSarwan Ali, Pin-Yu Chen, Murray Patterson. isbra 2023: 1-15 [doi]

Counterfactually Guided Policy Transfer in Clinical SettingsSarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Pin-Yu Chen, Imdadullah Khan, Murray Patterson. chil 2023: 6-18 [doi]

Reprogrammable-FL: Improving Utility-Privacy Tradeoff in Federated Learning via Model ReprogrammingHuzaifa Arif, Alex Gittens, Pin-Yu Chen. satml 2023: 197-209 [doi]

Lost In Translation: Generating Adversarial Examples Robust to Round-Trip TranslationNeel Bhandari, Pin-Yu Chen. icassp 2023: 1-5 [doi]

Holistic Adversarial Robustness of Deep Learning ModelsPin-Yu Chen, Sijia Liu 0001. AAAI 2023: 15411-15420 [doi]

Visual Prompting for Adversarial RobustnessAochuan Chen, Peter Lorenz, Yuguang Yao, Pin-Yu Chen, Sijia Liu 0001. icassp 2023: 1-5 [doi]

AI Maintenance: A Robustness PerspectivePin-Yu Chen, Payel Das. Computer, 56(2):48-56, February 2023. [doi]

Understanding and Improving Visual Prompting: A Label-Mapping PerspectiveAochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu. cvpr 2023: 19133-19143 [doi]

Identification of the Adversary from a Single Adversarial ExampleMinhao Cheng, Rui Min, Haochen Sun, Pin-Yu Chen. icml 2023: 5472-5484 [doi]

Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image ClassificationMing-Chang Chiu, Pin-Yu Chen, Xuezhe Ma. iccv 2023: 4933-4943 [doi]

How to Backdoor Diffusion Models?Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho. cvpr 2023: 4015-4024 [doi]

VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion ModelsSheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho. nips 2023: [doi]

Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural NetworksMohammed Nowaz Rabbani Chowdhury, Shuai Zhang 0015, Meng Wang 0003, Sijia Liu 0001, Pin-Yu Chen. icml 2023: 6074-6114 [doi]

MultiRobustBench: Benchmarking Robustness Against Multiple AttacksSihui Dai, Saeed Mahloujifar, Chong Xiang 0001, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal. icml 2023: 6760-6785 [doi]

Less is More: Dimension Reduction Finds On-Manifold Adversarial Examples in Hard-Label AttacksWashington Garcia, Pin-Yu Chen, Hamilton Scott Clouse, Somesh Jha, Kevin R. B. Butler. satml 2023: 254-270 [doi]

Inference and Denoise: Causal Inference-Based Neural Speech EnhancementTsun-An Hsieh, Chao-Han Huck Yang, Pin-Yu Chen, Sabato Marco Siniscalchi, Yu Tsao 0001. mlsp 2023: 1-6 [doi]

NCTV: Neural Clamping Toolkit and Visualization for Neural Network CalibrationLei Hsiung, Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho. AAAI 2023: 16446-16448 [doi]

Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic PerturbationsLei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho. cvpr 2023: 24658-24667 [doi]

RADAR: Robust AI-Text Detection via Adversarial LearningXiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho. nips 2023: [doi]

Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum NoiseJhih-Cing Huang, Yu-Lin Tsai, Chao-Han Huck Yang, Cheng-Fang Su, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo. icassp 2023: 1-5 [doi]

Causalainer: Causal Explainer for Automatic Video SummarizationJia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring. cvpr 2023: 2630-2636 [doi]

Low-Resource Music Genre Classification with Cross-Modal Neural Model ReprogrammingYun-Ning Hung, Chao-Han Huck Yang, Pin-Yu Chen, Alexander Lerch 0001. icassp 2023: 1-5 [doi]

Diagnostic spatio-temporal transformer with faithful encodingJokin Labaien, Tsuyoshi Idé, Pin-Yu Chen, Ekhi Zugasti, Xabier De Carlos. kbs, 274:110639, 2023. [doi]

A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample ComplexityHongkang Li, Meng Wang 0003, Sijia Liu 0001, Pin-Yu Chen. iclr 2023: [doi]

Exploring the Benefits of Visual Prompting in Differential PrivacyYizhe Li, Yu-Lin Tsai, Chia-Mu Yu, Pin-Yu Chen, Xuebin Ren. iccv 2023: 5135-5144 [doi]

MENTOR: Multilingual Text Detection Toward Learning by AnalogyHsin-Ju Lin, Tsu-Chun Chung, Ching-Chun Hsiao, Pin-Yu Chen, Wei-chen Chiu, Ching-Chun Huang. iros 2023: 3248-3255 [doi]

Robust Event Classification Using Imperfect Real-World PMU DataYunchuan Liu, Lei Yang 0001, Amir Ghasemkhani, Hanif Livani, Virgilio A. Centeno, Pin-Yu Chen, Junshan Zhang. iotj, 10(9, May 1):7429-7438, 2023. [doi]

Uncovering and Quantifying Social Biases in Code GenerationYan Liu, Xiaokang Chen, Yan Gao, Zhe Su, Fengji Zhang, Daoguang Zan, Jian-Guang Lou, Pin-Yu Chen, Tsung-Yi Ho. nips 2023: [doi]

Reprogramming Pretrained Language Models for Antibody Sequence InfillingIgor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, Devleena Das. icml 2023: 24398-24419 [doi]

Learning to Design Fair and Private Voting Rules (Extended Abstract)Farhad Mohsin, Ao Liu, Pin-Yu Chen, Francesca Rossi, Lirong Xia. IJCAI 2023: 6931-6936 [doi]

Computational Complexity of Verifying the Group No-show ParadoxFarhad Mohsin, Qishen Han, Sikai Ruan, Pin-Yu Chen, Francesca Rossi, Lirong Xia. atal 2023: 2877-2879 [doi]

Locally Differentially Private Document Generation Using Zero Shot PromptingSaiteja Utpala, Sara Hooker, Pin-Yu Chen. emnlp 2023: 8442-8457 [doi]

BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous SystemsZishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Vijay Janapa Reddi, Arijit Raychowdhury. dac 2023: 1-6 [doi]

Convex Bounds on the Softmax Function with Applications to Robustness VerificationDennis Wei, Haoze Wu 0001, Min Wu, Pin-Yu Chen, Clark W. Barrett, Eitan Farchi. aistats 2023: 6853-6878 [doi]

Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning AttacksChulin Xie, Yunhui Long, Pin-Yu Chen, Qinbin Li, Sanmi Koyejo, Bo Li. ccs 2023: 1511-1525 [doi]

Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature SuppressionYihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman. icml 2023: 38938-38970 [doi]

Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous DataYonggui Yan, Jie Chen, Pin-Yu Chen, Xiaodong Cui, Songtao Lu, Yangyang Xu. icml 2023: 39035-39061 [doi]

Treatment Learning Causal Transformer for Noisy Image ClassificationChao-Han Huck Yang, I-Te Danny Hung, Yi-Chieh Liu, Pin-Yu Chen. wacv 2023: 6128-6139 [doi]

Pessimistic Model Selection for Offline Deep Reinforcement LearningChao-Han Huck Yang, Zhengling Qi, Yifan Cui 0001, Pin-Yu Chen. uai 2023: 2379-2389 [doi]

Neural Model Reprogramming with Similarity Based Mapping for Low-Resource Spoken Command RecognitionHao Yen, Pin-Jui Ku, Chao-Han Huck Yang, Hu Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, Yu Tsao 0001. interspeech 2023: 3317-3321 [doi]

When Neural Networks Fail to Generalize? A Model Sensitivity PerspectiveJiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan. AAAI 2023: 11219-11227 [doi]

Spectral Adversarial MixUp for Few-Shot Unsupervised Domain AdaptationJiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan. miccai 2023: 728-738 [doi]

Robust Mixture-of-Expert Training for Convolutional Neural NetworksYihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang 0001, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu 0001. iccv 2023: 90-101 [doi]

2022

Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute SynthesisYu-Hsuan Li, Tzu-Yin Chao, Ching-Chun Huang, Pin-Yu Chen, Wei-chen Chiu. nips 2022: [doi]

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