Adel Bibi

CoRR, 2024

Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress.

[BibT_eX]

[DOI]

CoRR, 2024

Prompting a Pretrained Transformer Can Be a Universal Approximator.

[BibT_eX]

[DOI]

Aleksandar Petrov

CoRR, 2024

Can Large Language Model Agents Simulate Human Trust Behaviors?

[BibT_eX]

[DOI]

CoRR, 2024

SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?

[BibT_eX]

[DOI]

CoRR, 2024

SimCS: Simulation for Domain Incremental Online Continual Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

On the Decision Boundaries of Neural Networks: A Tropical Geometry Perspective.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Label Delay in Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2023

From Categories to Classifier: Name-Only Continual Learning by Exploring the Web.

[BibT_eX]

[DOI]

CoRR, 2023

When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations.

[BibT_eX]

[DOI]

Aleksandar Petrov

CoRR, 2023

Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Provably Correct Physics-Informed Neural Networks.

[BibT_eX]

[DOI]

Francisco Eiras

Krishnamurthy (Dj) Dvijotham

Rudy Bunel

M. Pawan Kumar

CoRR, 2023

Real-Time Evaluation in Online Continual Learning: A New Paradigm.

[BibT_eX]

[DOI]

CoRR, 2023

Constrained Clustering: General Pairwise and Cardinality Constraints.

[BibT_eX]

[DOI]

Ali Alqahtani

IEEE Access, 2023

RANCER: Non-Axis Aligned Anisotropic Certification with Randomized Smoothing.

[BibT_eX]

[DOI]

Taras Rumezhak

Francisco Girbal Eiras

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Language Model Tokenizers Introduce Unfairness Between Languages.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Certifying Ensembles: A General Certification Theory with S-Lipschitzness.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Computationally Budgeted Continual Learning: What Does Matter?

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Don't FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Real-Time Evaluation in Online Continual Learning: A New Hope.

[BibT_eX]

[DOI]

Christian Schröder de Witt

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

ANCER: Anisotropic Certification via Sample-wise Volume Maximization.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

SimCS: Simulation for Online Domain-Incremental Continual Segmentation.

[BibT_eX]

[DOI]

CoRR, 2022

Illusionary Attacks on Sequential Decision Makers and Countermeasures.

[BibT_eX]

[DOI]

CoRR, 2022

Catastrophic overfitting is a bug but also a feature.

[BibT_eX]

[DOI]

Guillermo Ortiz-Jiménez

CoRR, 2022

Make Some Noise: Reliable and Efficient Single-Step Adversarial Training.

[BibT_eX]

[DOI]

CoRR, 2022

Data dependent randomized smoothing.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Make Some Noise: Reliable and Efficient Single-Step Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Diversified Dynamic Routing for Vision Tasks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Combating Adversaries with Anti-adversaries.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

DeformRS: Certifying Input Deformations with Randomized Smoothing.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Rethinking Clustering for Robustness.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Understanding a Block of Layers in Deep Neural Networks: Optimization, Probabilistic and Tropical Geometric Perspectives.

[BibT_eX]

[DOI]

PhD thesis, 2020

Network Moments: Extensions and Sparse-Smooth Attacks.

[BibT_eX]

[DOI]

CoRR, 2020

ClusTR: Clustering Training for Robustness.

[BibT_eX]

[DOI]

CoRR, 2020

On the Decision Boundaries of Deep Neural Networks: A Tropical Geometry Perspective.

[BibT_eX]

[DOI]

CoRR, 2020

A Stochastic Derivative Free Optimization Method with Momentum.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Gabor Layers Enhance Network Robustness.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Robust Gabor Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Constrained K-means with General Pairwise and Cardinality Constraints.

[BibT_eX]

[DOI]

Baoyuan Wu

CoRR, 2019

Probabilistically True and Tight Bounds for Robust Deep Neural Network Training.

[BibT_eX]

[DOI]

CoRR, 2019

Analytical Moment Regularizer for Gaussian Robust Networks.

[BibT_eX]

[DOI]

Modar Alfadly

CoRR, 2019

Local Color Mapping Combined with Color Transfer for Underwater Image Enhancement.

[BibT_eX]

[DOI]

Rafal Protasiuk

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Deep Layers as Stochastic Solvers.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Analytic Expressions for Probabilistic Moments of PL-DNN With Gaussian Input.

[BibT_eX]

[DOI]

Modar Alfadly

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

High Order Tensor Formulation for Convolutional Sparse Coding.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

FFTLasso: Large-Scale LASSO in the Fourier Domain.

[BibT_eX]

[DOI]

Hani Itani

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Target Response Adaptation for Correlation Filter Tracking.

[BibT_eX]

[DOI]

Matthias Mueller

Proceedings of the Computer Vision - ECCV 2016, 2016

In Defense of Sparse Tracking: Circulant Sparse Tracker.

[BibT_eX]

[DOI]

Tianzhu Zhang

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

3D Part-Based Sparse Tracker with Automatic Synchronization and Registration.

[BibT_eX]

[DOI]

Tianzhu Zhang

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Multi-template Scale-Adaptive Kernelized Correlation Filters.

[BibT_eX]

[DOI]