Da Li

Orcid: 0000-0002-2101-2989

Affiliations:
  • Samsung AI Centre, Cambridge, UK
  • University of Edinburgh, School of Informatics, UK
  • Queen Mary University of London, UK
  • University of Surrey, SketchX Laboratory, Guildford, UK


According to our database1, Da Li authored at least 44 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
Memorized Images in Diffusion Models share a Subspace that can be Located and Deleted.
CoRR, 2024

ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning.
CoRR, 2024

Feed-Forward Latent Domain Adaptation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Recurrent Early Exits for Federated Learning with Heterogeneous Clients.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Neural Fine-Tuning Search for Few-Shot Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Worst-case Feature Risk Minimization for Data-Efficient Learning.
Trans. Mach. Learn. Res., 2023

Uncertainty-Aware Source-Free Domain Adaptive Semantic Segmentation.
IEEE Trans. Image Process., 2023

Prediction Calibration for Generalized Few-Shot Semantic Segmentation.
IEEE Trans. Image Process., 2023

Label Calibration for Semantic Segmentation Under Domain Shift.
CoRR, 2023

Feed-Forward Source-Free Domain Adaptation via Class Prototypes.
CoRR, 2023

Generative Model Based Noise Robust Training for Unsupervised Domain Adaptation.
CoRR, 2023

FedL2P: Federated Learning to Personalize.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SketchKnitter: Vectorized Sketch Generation with Diffusion Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Quality Diversity for Visual Pre-Training.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Sketch-based Video Object Segmentation: Benchmark and Analysis.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

Better Practices for Domain Adaptation.
Proceedings of the International Conference on Automated Machine Learning, 2023

2022
Dynamic Instance Domain Adaptation.
IEEE Trans. Image Process., 2022

Federated Learning for Inference at Anytime and Anywhere.
CoRR, 2022

Attacking Adversarial Defences by Smoothing the Loss Landscape.
CoRR, 2022

A Simple Test-Time Method for Out-of-Distribution Detection.
CoRR, 2022

Feed-Forward Source-Free Latent Domain Adaptation via Cross-Attention.
CoRR, 2022

Finding lost DG: Explaining domain generalization via model complexity.
CoRR, 2022

Fisher SAM: Information Geometry and Sharpness Aware Minimisation.
Proceedings of the International Conference on Machine Learning, 2022

Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning to Augment via Implicit Differentiation for Domain Generalization.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Robust Target Training for Multi-Source Domain Adaptation.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
A Channel Coding Benchmark for Meta-Learning.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Weight-covariance alignment for adversarially robust neural networks.
Proceedings of the 38th International Conference on Machine Learning, 2021

A Simple Feature Augmentation for Domain Generalization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Simple and Effective Stochastic Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Sketch-a-Segmenter: Sketch-Based Photo Segmenter Generation.
IEEE Trans. Image Process., 2020

A Stochastic Neural Network for Attack-Agnostic Adversarial Robustness.
CoRR, 2020

Sequential Learning for Domain Generalization.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Online Meta-learning for Multi-source and Semi-supervised Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Robust Person Re-Identification by Modelling Feature Uncertainty.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Episodic Training for Domain Generalization.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Deep Factorised Inverse-Sketching.
Proceedings of the Computer Vision - ECCV 2018, 2018

Sketch-a-Classifier: Sketch-Based Photo Classifier Generation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning to Generalize: Meta-Learning for Domain Generalization.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Deeper, Broader and Artier Domain Generalization.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Now You See Me: Deep Face Hallucination for Unviewed Sketches.
Proceedings of the British Machine Vision Conference 2017, 2017


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