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Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics

Jan 14, 2022
Chunheng Jiang, Tejaswini Pedapati, Pin-Yu Chen, Yizhou Sun, Jianxi Gao

* 19 pages, 7 figures, neural architecture search, mean-field 

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Network Graph Based Neural Architecture Search

Dec 15, 2021
Zhenhan Huang, Chunheng Jiang, Pin-Yu Chen, Jianxi Gao

* 12 pages 

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Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework

Dec 08, 2021
Ching-Yun Ko, Jeet Mohapatra, Sijia Liu, Pin-Yu Chen, Luca Daniel, Lily Weng

* The full version of SSLNeurIPS'21 contributed talk (NeurIPS 2021 Workshop: Self-Supervised Learning - Theory and Practice). Work in progress 

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Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines

Dec 01, 2021
Jiachen Sun, Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Dan Hendrycks, Jihun Hamm, Z. Morley Mao

* 21 pages, 15 figures, and 9 tables 

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Pessimistic Model Selection for Offline Deep Reinforcement Learning

Nov 29, 2021
Chao-Han Huck Yang, Zhengling Qi, Yifan Cui, Pin-Yu Chen

* Preprint. A non-archival and preliminary venue was presented at NeurIPS 2021 Offline Reinforcement Learning Workshop 

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Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis

Nov 28, 2021
Yu Hsuan Li, Tzu-Yin Chao, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu

* 18 pages, 14 figures 

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Meta Adversarial Perturbations

Nov 19, 2021
Chia-Hung Yuan, Pin-Yu Chen, Chia-Mu Yu

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Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination

Nov 14, 2021
Arpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das

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CAFE: Catastrophic Data Leakage in Vertical Federated Learning

Nov 02, 2021
Xiao Jin, Pin-Yu Chen, Chia-Yi Hsu, Chia-Mu Yu, Tianyi Chen

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When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?

Nov 01, 2021
Lijie Fan, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Chuang Gan

* NeurIPS 2021. Code is available at 

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How and When Adversarial Robustness Transfers in Knowledge Distillation?

Oct 22, 2021
Rulin Shao, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh

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Robust Event Classification Using Imperfect Real-world PMU Data

Oct 19, 2021
Yunchuan Liu, Lei Yang, Amir Ghasemkhani, Hanif Livani, Virgilio A. Centeno, Pin-Yu Chen, Junshan Zhang

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QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks

Oct 12, 2021
Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen

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Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks

Oct 12, 2021
Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong

* Thirty-fifth Conference on Neural Information Processing Systems, 2021 

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A Study of Low-Resource Speech Commands Recognition based on Adversarial Reprogramming

Oct 08, 2021
Hao Yen, Pin-Jui Ku, Chao-Han Huck Yang, Hu Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, Yu Tsao

* Submitted to ICASSP 2022 

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AI Explainability 360: Impact and Design

Sep 24, 2021
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang

* arXiv admin note: text overlap with arXiv:1909.03012 

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Real-World Adversarial Examples involving Makeup Application

Sep 04, 2021
Chang-Sheng Lin, Chia-Yi Hsu, Pin-Yu Chen, Chia-Mu Yu

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Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning

Jul 08, 2021
Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm

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MAML is a Noisy Contrastive Learner

Jun 29, 2021
Chia-Hsiang Kao, Wei-Chen Chiu, Pin-Yu Chen

* 15 pages, 11 figures 

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Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design

Jun 24, 2021
Yue Cao, Payel Das, Vijil Chenthamarakshan, Pin-Yu Chen, Igor Melnyk, Yang Shen

* ICML 2021 

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Voice2Series: Reprogramming Acoustic Models for Time Series Classification

Jun 17, 2021
Chao-Han Huck Yang, Yun-Yun Tsai, Pin-Yu Chen

* Accepted to ICML 2021, 16 Pages 

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CRFL: Certifiably Robust Federated Learning against Backdoor Attacks

Jun 15, 2021
Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li

* ICML 2021 

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Predicting Deep Neural Network Generalization with Perturbation Response Curves

Jun 09, 2021
Yair Schiff, Brian Quanz, Payel Das, Pin-Yu Chen

* arXiv admin note: substantial text overlap with arXiv:2104.03469 

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Simple Transparent Adversarial Examples

May 20, 2021
Jaydeep Borkar, Pin-Yu Chen

* 14 pages, 9 figures, Published at ICLR 2021 Workshop on Security and Safety in Machine Learning Systems 

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Vision Transformers are Robust Learners

May 18, 2021
Sayak Paul, Pin-Yu Chen

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High-Robustness, Low-Transferability Fingerprinting of Neural Networks

May 14, 2021
Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin

* ICLR 2021 Workshop on Security and Safety in Machine Learning Systems 

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ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training

Apr 21, 2021
Chia-Yu Chen, Jiamin Ni, Songtao Lu, Xiaodong Cui, Pin-Yu Chen, Xiao Sun, Naigang Wang, Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Zhang, Kailash Gopalakrishnan

* NeurIPS2020 accepted 

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Gi and Pal Scores: Deep Neural Network Generalization Statistics

Apr 08, 2021
Yair Schiff, Brian Quanz, Payel Das, Pin-Yu Chen

* Accepted to RobustML Workshop at ICLR 2021 

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Towards creativity characterization of generative models via group-based subset scanning

Apr 01, 2021
Celia Cintas, Payel Das, Brian Quanz, Skyler Speakman, Victor Akinwande, Pin-Yu Chen

* Synthetic Data Generation Workshop at ICLR'21 

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