Publications

(2024). When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations". International Conference on Learning Representations (ICLR24).

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(2024). Illusory Attacks: Detectability Matters in Adversarial Attacks on Sequential Decision-Makers. International Conference on Learning Representations (ICLR24) [Spotlight].

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(2024). Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation. International Conference on Learning Representations (ICLR24).

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(2023). SimCS: Simulation for Online Domain-Incremental Continual Segmentation. Association for the Advancement of Artificial Intelligence (AAAI24).

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(2023). Language Model Tokenizers Introduce Unfairness Between Languages. Neural Information Processing Systems (NeurIPS23).

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(2023). Catastrophic Overfitting is a Bug but also a Feature. Transactions of Machine Learning Research (TMLR23).

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(2023). Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?. International Conference on Computer Vision (ICCV23).

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(2023). Certifying Ensembles: A General Certification Theory with S-Lipschitzness. International Conference on Machine Learning (ICML23).

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(2023). Don't FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs. Workshop on Adversarial Machine Learning on Computer Vision (CVPRW23).

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(2023). Real-Time Evaluation in Online Continual Learning: A New Hope. Computer Vision and Pattern Recognition (CVPR23) [Highlight].

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(2023). Computationally Budgeted Continual Learning: What Does Matter?. Computer Vision and Pattern Recognition (CVPR23).

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(2022). RANCER: Non-Axis Aligned Anisotropic Certification With Randomized Smoothing. Winter Conference on Applications of Computer Vision (WACV23)​.

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(2022). Make Some Noise: Reliable and Efficient Single-Step Adversarial Training. Neural Information Processing Systems (NeurIPS22).

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(2022). ANCER: Anisotropic Certification via Sample-wise Volume Maximization. Transactions of Machine Learning Research (TMLR22).

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(2022). On the Decision Boundaries of Neural Networks: A Tropical Geometry Perspective. Transactions on Pattern Analysis and Machine Intelligence (TPAMI22).

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(2022). Data Dependent Randomized Smoothing. Uncertainty in Artificial Intelligence (UAI22).

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(2022). DeformRS: Certifying Input Deformations with Randomized Smoothing. Association for the Advancement of Artificial Intelligence (AAAI22) [Oral].

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(2022). Combating Adversaries with Anti-Adversaries. Association for the Advancement of Artificial Intelligence (AAAI22).

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(2021). ClusTR: Clustering Training for Robustness. British Machine Vision Conference (BMVC21).

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(2021). Expected Tight Bounds for Robust Deep Neural Network Training. Robust Machine Learning Workshop at the International Conference on Learning Representations (ICLRW17).

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(2020). Gabor Layers Enhance Network Robustness. European Conference on Computer Vision (ECCV20).

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(2020). A Stochastic Derivative Free Optimization Method with Momentum. International Conference on Learning Representation (ICLR20)​.

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(2020). A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control. Association for the Advancement of Artificial Intelligence (AAAI20) [Oral].

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(2019). Deep Layers as Stochastic Solvers. International Conference on Learning Representation (ICLR19).

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(2019). Local Color Mapping Combined with Color Transfer for Underwater Image Enhancement. Winter Conference on Applications of Computer Vision (WACV19)​.

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(2018). TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild. European Conference on Computer Vision (ECCV18)​.

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(2018). Analytic Expressions for Probabilistic Moments of PL-DNN with Gaussian Input. Conference on Computer Vision and Pattern Recognition (CVPR18) [Oral].

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(2017). High Order Tensor Formulation for Convolutional Sparse Coding. International Conference on Computer Vision (ICCV17).

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(2017). FFTLasso: Large-Scale Lasso in the Fourier Domain. Computer Vision and Pattern Recognition (CVPR17) [Oral].

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(2016). Target Response Adaptation for Correlation Filter Tracking. European Conference on Computer Vision (ECCV16) [Spotlight].

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(2016). In Defense of Sparse Tracking: Circulant Sparse Tracker. Conference on Computer Vision and Pattern Recognition (CVPR16) [Spotlight].

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(2016). 3D Part-Based Sparse Tracker with Automatic Synchronization and Registration. Computer Vision and Pattern Recognition (CVPR16).

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(2016). Multi-Template Scale-Adaptive Kernelized Correlation Filters. International Conference on Computer Vision Workshop (ICCVW15).

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