Xuxi Chen

Orcid: 0000-0001-5451-2704

According to our database1, Xuxi Chen authored at least 26 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization.
CoRR, 2024

2023
Rethinking PGD Attack: Is Sign Function Necessary?
CoRR, 2023

Orca 2: Teaching Small Language Models How to Reason.
CoRR, 2023

Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality.
CoRR, 2023

Learning to Optimize Differentiable Games.
Proceedings of the International Conference on Machine Learning, 2023

M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Is Attention All That NeRF Needs?
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
Proceedings of the Eleventh International Conference on Learning Representations, 2023

More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Is Attention All NeRF Needs?
CoRR, 2022

More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity.
CoRR, 2022

Learning to Bootstrap for Combating Label Noise.
CoRR, 2022

Sparse Winning Tickets are Data-Efficient Image Recognizers.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets.
Proceedings of the International Conference on Machine Learning, 2022

DnA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment.
Proceedings of the Computer Vision - ECCV 2022, 2022

Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Efficient Lottery Ticket Finding: Less Data is More.
Proceedings of the 38th International Conference on Machine Learning, 2021

A Unified Lottery Ticket Hypothesis for Graph Neural Networks.
Proceedings of the 38th International Conference on Machine Learning, 2021

GANs Can Play Lottery Tickets Too.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training.
Proceedings of the 37th International Conference on Machine Learning, 2020


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