Sung Ju Hwang

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

Transductive Few-shot Learning with Meta-Learned Confidence.

[BibT_eX]

[DOI]

CoRR, 2020

MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Attribution Preservation in Network Compression for Reliable Network Interpretation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bootstrapping neural processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Neural Complexity Measures.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adversarial Self-Supervised Contrastive Learning.

[BibT_eX]

[DOI]

Minseon Kim

Jihoon Tack

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Time-Reversal Symmetric ODE Network.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Jinheon Baek

Dong Bok Lee

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2020, 2020

Segmenting 2K-Videos at 36.5 FPS with 24.3 GFLOPs: Accurate and Lightweight Realtime Semantic Segmentation Network.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Meta Variance Transfer: Learning to Augment from the Others.

[BibT_eX]

[DOI]

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

Adversarial Neural Pruning with Latent Vulnerability Suppression.

[BibT_eX]

[DOI]

Divyam Madaan

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

Self-supervised Label Augmentation via Input Transformations.

[BibT_eX]

[DOI]

Hankook Lee

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

Cost-Effective Interactive Attention Learning with Neural Attention Processes.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks.

[BibT_eX]

[DOI]

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

Meta Dropout: Learning to Perturb Latent Features for Generalization.

[BibT_eX]

[DOI]

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

Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks.

[BibT_eX]

[DOI]

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

Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation.

[BibT_eX]

[DOI]

Minki Kang

Moonsu Han

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Rethinking Data Augmentation: Self-Supervision and Self-Distillation.

[BibT_eX]

[DOI]

Hankook Lee

CoRR, 2019

Learning to Disentangle Robust and Vulnerable Features for Adversarial Detection.

[BibT_eX]

[DOI]

Byunggill Joe

Insik Shin

CoRR, 2019

Adversarial Neural Pruning.

[BibT_eX]

[DOI]

Divyam Madaan

CoRR, 2019

Learning to Generalize to Unseen Tasks with Bilevel Optimization.

[BibT_eX]

[DOI]

CoRR, 2019

Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck.

[BibT_eX]

[DOI]

CoRR, 2019

Sparsity Normalization: Stabilizing the Expected Outputs of Deep Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks.

[BibT_eX]

[DOI]

CoRR, 2019

Meta Dropout: Learning to Perturb Features for Generalization.

[BibT_eX]

[DOI]

CoRR, 2019

ORACLE: Order Robust Adaptive Continual LEarning.

[BibT_eX]

[DOI]

CoRR, 2019

Learning What and Where to Transfer.

[BibT_eX]

[DOI]

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

Learning to Propagate Labels: Transductive Propagation Network for Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2018

Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective.

[BibT_eX]

[DOI]

CoRR, 2018

Mixed Effect Composite RNN-GP: A Personalized and Reliable Prediction Model for Healthcare.

[BibT_eX]

[DOI]

CoRR, 2018

Adaptive Network Sparsification via Dependent Variational Beta-Bernoulli Dropout.

[BibT_eX]

[DOI]

CoRR, 2018

Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding.

[BibT_eX]

[DOI]

Hajin Shim

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

DropMax: Adaptive Variational Softmax.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Uncertainty-Aware Attention for Reliable Interpretation and Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Dynamic Detection-Tracking Switching.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Ubiquitous and Future Networks, 2018

Deep Asymmetric Multi-task Feature Learning.

[BibT_eX]

[DOI]

Haebeom Lee

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

Lifelong Learning with Dynamically Expandable Networks.

[BibT_eX]

[DOI]

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

2017

DropMax: Adaptive Stochastic Softmax.

[BibT_eX]

[DOI]

CoRR, 2017

Why Pay More When You Can Pay Less: A Joint Learning Framework for Active Feature Acquisition and Classification.

[BibT_eX]

[DOI]

Hajin Shim

CoRR, 2017

Combined Group and Exclusive Sparsity for Deep Neural Networks.

[BibT_eX]

[DOI]

Jaehong Yoon

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

SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization.

[BibT_eX]

[DOI]

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

2016

Asymmetric Multi-task Learning based on Task Relatedness and Confidence.

[BibT_eX]

[DOI]

Giwoong Lee

Proceedings of the 33nd International Conference on Machine Learning, 2016

Taxonomy-Regularized Semantic Deep Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Exploiting View-Specific Appearance Similarities Across Classes for Zero-Shot Pose Prediction: A Metric Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Knowledge Transfer with Interactive Learning of Semantic Relationships.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Hierarchical Maximum-Margin Clustering.

[BibT_eX]

[DOI]

CoRR, 2015

Expanding object detector's Horizon: Incremental learning framework for object detection in videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

A Unified Semantic Embedding: Relating Taxonomies and Attributes.

[BibT_eX]

[DOI]

Leonid Sigal

Proceedings of the 2015 AAAI Spring Symposia, 2015

2013

Analogy-preserving Semantic Embedding for Visual Object Categorization.

[BibT_eX]

[DOI]

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

2012

Reading between the Lines: Object Localization Using Implicit Cues from Image Tags.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Learning the Relative Importance of Objects from Tagged Images for Retrieval and Cross-Modal Search.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2012

Semantic Kernel Forests from Multiple Taxonomies.

[BibT_eX]

[DOI]

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

Context-Based Automatic Local Image Enhancement.

[BibT_eX]

[DOI]

Ashish Kapoor

Sing Bing Kang

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Learning a Tree of Metrics with Disjoint Visual Features.

[BibT_eX]

[DOI]

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

Sharing features between objects and their attributes.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Accounting for the Relative Importance of Objects in Image Retrieval.

[BibT_eX]

[DOI]