Ting-Han Fan

According to our database1, Ting-Han Fan authored at least 16 papers between 2017 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Attention Alignment and Flexible Positional Embeddings Improve Transformer Length Extrapolation.
CoRR, 2023

Advancing Regular Language Reasoning in Linear Recurrent Neural Networks.
CoRR, 2023

Transformer Working Memory Enables Regular Language Reasoning And Natural Language Length Extrapolation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Dissecting Transformer Length Extrapolation via the Lens of Receptive Field Analysis.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
Receptive Field Alignment Enables Transformer Length Extrapolation.
CoRR, 2022

KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems.
Proceedings of the Learning for Dynamics and Control Conference, 2022

Training Discrete Deep Generative Models via Gapped Straight-Through Estimator.
Proceedings of the International Conference on Machine Learning, 2022

Safety Control for Prime Focus Spectrograph.
Proceedings of the 56th Annual Conference on Information Sciences and Systems, 2022

Soft Actor-Critic With Integer Actions.
Proceedings of the American Control Conference, 2022

2021
Explaining Off-Policy Actor-Critic From A Bias-Variance Perspective.
CoRR, 2021

A Contraction Approach to Model-based Reinforcement Learning.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2019
Model Imitation for Model-Based Reinforcement Learning.
CoRR, 2019

2018
Rumor Source Detection: A Probabilistic Perspective.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
A New Social Network Model of Online Forums.
Proceedings of the 2017 IEEE Global Communications Conference, 2017


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