Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized Alignment.

[BibT_eX]

[DOI]

Jaewoo Lee

Proceedings of the Forty-first International Conference on Machine Learning, 2024

BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation.

[BibT_eX]

[DOI]

Daeun Lee

Jaehong Yoon

Sung Ju Hwang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Analyzing and Mitigating Object Hallucination in Large Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models.

[BibT_eX]

[DOI]

Yi-Lin Sung

Jaehong Yoon

Mohit Bansal

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Progressive Fourier Neural Representation for Sequential Video Compilation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Multimodal Representation Learning by Alternating Unimodal Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

STELLA: Continual Audio-Video Pre-training with Spatio-Temporal Localized Alignment.

[BibT_eX]

[DOI]

CoRR, 2023

Progressive Neural Representation for Sequential Video Compilation.

[BibT_eX]

[DOI]

CoRR, 2023

Forget-free Continual Learning with Soft-Winning SubNetworks.

[BibT_eX]

[DOI]

Haeyong Kang

Jaehong Yoon

Sultan Rizky Hikmawan Madjid

Sung Ju Hwang

Chang D. Yoo

CoRR, 2023

Continual Learners are Incremental Model Generalizers.

[BibT_eX]

[DOI]

Jaehong Yoon

Sung Ju Hwang

Yue Cao

Proceedings of the International Conference on Machine Learning, 2023

Personalized Subgraph Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

On the Soft-Subnetwork for Few-Shot Class Incremental Learning.

[BibT_eX]

[DOI]

Haeyong Kang

Jaehong Yoon

Sultan Rizky Hikmawan Madjid

Sung Ju Hwang

Chang D. Yoo

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models.

[BibT_eX]

[DOI]

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

2022

Efficient Video Representation Learning via Masked Video Modeling with Motion-centric Token Selection.

[BibT_eX]

[DOI]

CoRR, 2022

Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Forget-free Continual Learning with Winning Subnetworks.

[BibT_eX]

[DOI]

Haeyong Kang

Rusty John Lloyd Mina

Sultan Rizky Hikmawan Madjid

Jaehong Yoon

Mark Hasegawa-Johnson

Sung Ju Hwang

Chang D. Yoo

Proceedings of the International Conference on Machine Learning, 2022

Online Coreset Selection for Rehearsal-based Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Representational Continuity for Unsupervised Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

BiTAT: Neural Network Binarization with Task-Dependent Aggregated Transformation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Rethinking the Representational Continuity: Towards Unsupervised Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Federated Continual Learning with Weighted Inter-client Transfer.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive Meta-Pruning.

[BibT_eX]

[DOI]

CoRR, 2020

Federated Semi-Supervised Learning with Inter-Client Consistency.

[BibT_eX]

[DOI]

CoRR, 2020

Federated Continual Learning with Adaptive Parameter Communication.

[BibT_eX]

[DOI]

CoRR, 2020

Scalable and Order-robust Continual Learning with Additive Parameter Decomposition.

[BibT_eX]

[DOI]

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

2019

ORACLE: Order Robust Adaptive Continual LEarning.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Adaptive Network Sparsification via Dependent Variational Beta-Bernoulli Dropout.

[BibT_eX]

[DOI]

CoRR, 2018

Spatial and Time Domain Feature of ERP Speller System Extracted via Convolutional Neural Network.

[BibT_eX]

[DOI]

Jaehong Yoon

Jungnyun Lee

Mincheol Whang

Comput. Intell. Neurosci., 2018

Lifelong Learning with Dynamically Expandable Networks.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Combined Group and Exclusive Sparsity for Deep Neural Networks.

[BibT_eX]

[DOI]

Jaehong Yoon

Sung Ju Hwang

Proceedings of the 34th International Conference on Machine Learning, 2017

Jaehong Yoon

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