Sung Ju Hwang
Orcid: 0000-0002-9675-2324
According to our database1,
Sung Ju Hwang
authored at least 221 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
VideoICL: Confidence-based Iterative In-context Learning for Out-of-Distribution Video Understanding.
CoRR, 2024
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models.
CoRR, 2024
CoRR, 2024
HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models.
CoRR, 2024
Training-Free Exponential Extension of Sliding Window Context with Cascading KV Cache.
CoRR, 2024
CoRR, 2024
Learning diverse attacks on large language models for robust red-teaming and safety tuning.
CoRR, 2024
Cost-Sensitive Multi-Fidelity Bayesian Optimization with Transfer of Learning Curve Extrapolation.
CoRR, 2024
ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models.
CoRR, 2024
CoRR, 2024
Towards Label-Efficient Human Matting: A Simple Baseline for Weakly Semi-Supervised Trimap-Free Human Matting.
CoRR, 2024
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity.
CoRR, 2024
Comput. Secur., 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs.
Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024
2023
DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023
CoRR, 2023
CoRR, 2023
KOALA: Self-Attention Matters in Knowledge Distillation of Latent Diffusion Models for Memory-Efficient and Fast Image Synthesis.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Phrase Retrieval for Open-Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning.
CoRR, 2023
CoRR, 2023
Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation.
CoRR, 2023
CoRR, 2023
Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement.
CoRR, 2023
Deep Self-Supervised Diversity Promoting Learning on Hierarchical Hyperspheres for Regularization.
IEEE Access, 2023
Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
STXD: Structural and Temporal Cross-Modal Distillation for Multi-View 3D Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Proceedings of the International Conference on Machine Learning, 2023
Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Grad-StyleSpeech: Any-Speaker Adaptive Text-to-Speech Synthesis with Diffusion Models.
Proceedings of the IEEE International Conference on Acoustics, 2023
Co-training and Co-distillation for Quality Improvement and Compression of Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Phrase Retrieval for Open Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Comput. Vis. Image Underst., 2022
Efficient Video Representation Learning via Masked Video Modeling with Motion-centric Token Selection.
CoRR, 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
Factorized-FL: Agnostic Personalized Federated Learning with Kernel Factorization & Similarity Matching.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Factorized-FL: Personalized Federated Learning with Parameter Factorization & Similarity Matching.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Meta Learning Low Rank Covariance Factors for Energy Based Deterministic Uncertainty.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
CoRR, 2021
Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty.
CoRR, 2021
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Multi-Domain Knowledge Distillation via Uncertainty-Matching for End-to-End ASR Models.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection.
CoRR, 2020
Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive Meta-Pruning.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
Segmenting 2K-Videos at 36.5 FPS with 24.3 GFLOPs: Accurate and Lightweight Realtime Semantic Segmentation Network.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks.
Proceedings of the 8th International Conference on Learning Representations, 2020
Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
CoRR, 2019
Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck.
CoRR, 2019
CoRR, 2019
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks.
CoRR, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Learning to Propagate Labels: Transductive Propagation Network for Few-Shot Learning.
Proceedings of the 7th International Conference on Learning Representations, 2019
Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
Learning What to Remember: Long-term Episodic Memory Networks for Learning from Streaming Data.
CoRR, 2018
Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective.
CoRR, 2018
Mixed Effect Composite RNN-GP: A Personalized and Reliable Prediction Model for Healthcare.
CoRR, 2018
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Tenth International Conference on Ubiquitous and Future Networks, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
Why Pay More When You Can Pay Less: A Joint Learning Framework for Active Feature Acquisition and Classification.
CoRR, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization.
Proceedings of the 34th International Conference on Machine Learning, 2017
2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the Computer Vision - ECCV 2016, 2016
Exploiting View-Specific Appearance Similarities Across Classes for Zero-Shot Pose Prediction: A Metric Learning Approach.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Expanding object detector's Horizon: Incremental learning framework for object detection in videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
Proceedings of the 2015 AAAI Spring Symposia, 2015
2013
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
IEEE Trans. Pattern Anal. Mach. Intell., 2012
Learning the Relative Importance of Objects from Tagged Images for Retrieval and Cross-Modal Search.
Int. J. Comput. Vis., 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the Computer Vision - ECCV 2012, 2012
2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011
2010
Proceedings of the British Machine Vision Conference, 2010