Simyung Chang

Orcid: 0000-0001-7750-191X

According to our database1, Simyung Chang authored at least 35 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

InfiniPot: Infinite Context Processing on Memory-Constrained LLMs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Feature Diversification and Adaptation for Federated Domain Generalization.
Proceedings of the Computer Vision - ECCV 2024, 2024

Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data.
CoRR, 2023

Knowledge Distillation from Non-streaming to Streaming ASR Encoder using Auxiliary Non-streaming Layer.
CoRR, 2023

Task-Agnostic Open-Set Prototype for Few-Shot Open-Set Recognition.
Proceedings of the IEEE International Conference on Image Processing, 2023

Scalable Weight Reparametrization for Efficient Transfer Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
QTI Submission to DCASE 2021: residual normalization for device-imbalanced acoustic scene classification with efficient design.
CoRR, 2022

Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Personalized Keyword Spotting through Multi-task Learning.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Variational On-the-Fly Personalization.
Proceedings of the International Conference on Machine Learning, 2022

Quadapter: Adapter for GPT-2 Quantization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Multi-Head Modularization to Leverage Generalization Capability in Multi-Modal Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Distribution Estimation to Automate Transformation Policies for Self-Supervision.
CoRR, 2021

Self-Evolutionary Optimization for Pareto Front Learning.
CoRR, 2021

PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Broadcasted Residual Learning for Efficient Keyword Spotting.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Prototype-Based Personalized Pruning.
Proceedings of the IEEE International Conference on Acoustics, 2021

Subspectral Normalization for Neural Audio Data Processing.
Proceedings of the IEEE International Conference on Acoustics, 2021

Domain Generalization on Efficient Acoustic Scene Classification Using Residual Normalization.
Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), 2021

2020
BIBNet: An Efficient Super Resolution with Bottleneck-In-Bottleneck.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

URNet: User-Resizable Residual Networks with Conditional Gating Module.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Genetic-Gated Networks for Deep Reinforcement.
CoRR, 2019

BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

Sym-Parameterized Dynamic Inference for Mixed-Domain Image Translation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Towards Governing Agent's Efficacy: Action-Conditional $β$-VAE for Deep Transparent Reinforcement Learning.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018
Image Translation to Mixed-Domain using Sym-Parameterized Generative Network.
CoRR, 2018

Towards Governing Agent's Efficacy: Action-Conditional β-VAE for Deep Transparent Reinforcement Learning.
CoRR, 2018

Genetic-Gated Networks for Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Broadcasting Convolutional Network for Visual Relational Reasoning.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Broadcasting Convolutional Network.
CoRR, 2017

Knowledge Sharing for Reinforcement Learning: Writing a BOOK.
CoRR, 2017


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