Hyun Oh Song

Bumsoo Park

CoRR, 2024

Targeted Cause Discovery with Data-Driven Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization.

[BibT_eX]

[DOI]

Deokjae Lee

Kyunghyun Cho

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

LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging.

[BibT_eX]

[DOI]

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

Compressed Context Memory for Online Language Model Interaction.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Designing an offline reinforcement learning objective from scratch.

[BibT_eX]

[DOI]

CoRR, 2023

Neural Relation Graph for Identifying Problematic Data.

[BibT_eX]

[DOI]

Jang-Hyun Kim

Sangdoo Yun

CoRR, 2023

Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data.

[BibT_eX]

[DOI]

Jang-Hyun Kim

Sangdoo Yun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Direct Preference-based Policy Optimization without Reward Modeling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Query-Efficient Black-Box Red Teaming via Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Rethinking Value Function Learning for Generalization in Reinforcement Learning.

[BibT_eX]

[DOI]

JunYeong Lee

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Dataset Condensation via Efficient Synthetic-Data Parameterization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Optimal channel selection with discrete QCQP.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks.

[BibT_eX]

[DOI]

Gaon An

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity.

[BibT_eX]

[DOI]

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

2020

Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup.

[BibT_eX]

[DOI]

Jang-Hyun Kim

Wonho Choo

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization.

[BibT_eX]

[DOI]

Gaon An

Proceedings of the 36th International Conference on Machine Learning, 2019

EMI: Exploration with Mutual Information.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Learning Discrete and Continuous Factors of Data via Alternating Disentanglement.

[BibT_eX]

[DOI]

Yeonwoo Jeong

Proceedings of the 36th International Conference on Machine Learning, 2019

End-To-End Efficient Representation Learning via Cascading Combinatorial Optimization.

[BibT_eX]

[DOI]

Yeonwoo Jeong

Yoonsung Kim

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

EMI: Exploration with Mutual Information Maximizing State and Action Embeddings.

[BibT_eX]

[DOI]

CoRR, 2018

Efficient end-to-end learning for quantizable representations.

[BibT_eX]

[DOI]

Yeonwoo Jeong

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Semantic Instance Segmentation via Deep Metric Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Deep Metric Learning via Facility Location.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Learning to Detect Visual Grasp Affordance.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2016

Learnable Structured Clustering Framework for Deep Metric Learning.

[BibT_eX]

[DOI]

CoRR, 2016

Unsupervised Transductive Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2016

Learning Transferrable Representations for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Deep Metric Learning via Lifted Structured Feature Embedding.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Generalized Sparselet Models for Real-Time Multiclass Object Recognition.

[BibT_eX]

[DOI]

Pedro F. Felzenszwalb

IEEE Trans. Pattern Anal. Mach. Intell., 2015

2014

Learning with Parsimony for Large Scale Object Detection and Discovery.

[BibT_eX]

[DOI]

PhD thesis, 2014

One-Bit Object Detection: On learning to localize objects with minimal supervision.

[BibT_eX]

[DOI]

CoRR, 2014

Weakly-supervised Discovery of Visual Pattern Configurations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

On learning to localize objects with minimal supervision.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Discriminatively Activated Sparselets.

[BibT_eX]

[DOI]

Ross B. Girshick

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Detection bank: an object detection based video representation for multimedia event recognition.

[BibT_eX]

[DOI]

Tim Althoff

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Sparselet Models for Efficient Multiclass Object Detection.

[BibT_eX]

[DOI]

Pedro F. Felzenszwalb