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2020 – today
- 2024
[c24]Vimal Thilak, Chen Huang, Omid Saremi, Laurent Dinh, Hanlin Goh, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin:
LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures. ICLR 2024- [c23]Yuhang Zang, Hanlin Goh, Joshua M. Susskind, Chen Huang:
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization. ICLR 2024 - [i18]Yuhang Zang, Hanlin Goh, Josh M. Susskind, Chen Huang:
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization. CoRR abs/2401.15914 (2024) - [i17]Sayeri Lala, Hanlin Goh, Christopher M. Sandino:
Label-Efficient Sleep Staging Using Transformers Pre-trained with Position Prediction. CoRR abs/2404.15308 (2024) - 2023
- [c22]Chen Huang, Hanlin Goh, Jiatao Gu, Joshua M. Susskind:
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors. ICLR 2023 - [i16]Chen Huang, Hanlin Goh, Jiatao Gu, Josh M. Susskind:
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors. CoRR abs/2303.03679 (2023) - [i15]Ran Liu, Ellen L. Zippi, Hadi Pouransari, Christopher M. Sandino, Jingping Nie, Hanlin Goh, Erdrin Azemi, Ali Moin:
Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals. CoRR abs/2309.05927 (2023) - [i14]Vimal Thilak, Chen Huang, Omid Saremi, Laurent Dinh, Hanlin Goh, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin:
LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures. CoRR abs/2312.04000 (2023) - 2022
- [c21]Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Y. Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind:
Position Prediction as an Effective Pretraining Strategy. ICML 2022: 26010-26027 - [c20]Miguel Ángel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Joshua M. Susskind:
GAUDI: A Neural Architect for Immersive 3D Scene Generation. NeurIPS 2022 - [i13]Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Yitan Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind:
Position Prediction as an Effective Pretraining Strategy. CoRR abs/2207.07611 (2022) - [i12]Miguel Ángel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Josh M. Susskind:
GAUDI: A Neural Architect for Immersive 3D Scene Generation. CoRR abs/2207.13751 (2022) - [i11]Yao-Hung Hubert Tsai, Hanlin Goh, Ali Farhadi, Jian Zhang:
Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents. CoRR abs/2209.13156 (2022) - [i10]Hsiang-Yun Sherry Chien, Hanlin Goh, Christopher M. Sandino, Joseph Y. Cheng:
MAEEG: Masked Auto-encoder for EEG Representation Learning. CoRR abs/2211.02625 (2022) - 2021
- [c19]Yue Wu, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh:
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning. ICML 2021: 11319-11328 - [i9]Yue Wu, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh:
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning. CoRR abs/2105.08140 (2021) - [i8]Shuangfei Zhai, Walter Talbott, Nitish Srivastava, Chen Huang, Hanlin Goh, Ruixiang Zhang, Josh M. Susskind:
An Attention Free Transformer. CoRR abs/2105.14103 (2021) - [i7]Etai Littwin, Omid Saremi, Shuangfei Zhai, Vimal Thilak, Hanlin Goh, Joshua M. Susskind, Greg Yang:
Implicit Acceleration and Feature Learning in Infinitely Wide Neural Networks with Bottlenecks. CoRR abs/2107.00364 (2021) - 2020
- [c18]Yao-Hung Hubert Tsai, Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov:
Capsules with Inverted Dot-Product Attention Routing. ICLR 2020 - [i6]Yao-Hung Hubert Tsai, Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov:
Capsules with Inverted Dot-Product Attention Routing. CoRR abs/2002.04764 (2020) - [i5]Joseph Y. Cheng, Hanlin Goh, Kaan Dogrusoz, Oncel Tuzel, Erdrin Azemi:
Subject-Aware Contrastive Learning for Biosignals. CoRR abs/2007.04871 (2020)
2010 – 2019
- 2019
- [i4]Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov:
Geometric Capsule Autoencoders for 3D Point Clouds. CoRR abs/1912.03310 (2019) - 2017
- [c17]Jie Lin, Olivier Morère, Antoine Veillard, Ling-Yu Duan, Hanlin Goh, Vijay Chandrasekhar:
DeepHash for Image Instance Retrieval: Getting Regularization, Depth and Fine-Tuning Right. ICMR 2017: 133-141 - 2016
- [j3]Vijay Chandrasekhar, Jie Lin, Olivier Morère, Hanlin Goh, Antoine Veillard:
A practical guide to CNNs and Fisher Vectors for image instance retrieval. Signal Process. 128: 426-439 (2016) - 2015
- [c16]Vijay Chandrasekhar, Jie Lin, Olivier Morère, Antoine Veillard, Hanlin Goh:
Compact Global Descriptors for Visual Search. DCC 2015: 333-342 - [c15]Olivier Morère, Hanlin Goh, Antoine Veillard, Vijay Chandrasekhar, Jie Lin:
Co-regularized deep representations for video summarization. ICIP 2015: 3165-3169 - [i3]Jie Lin, Olivier Morère, Vijay Chandrasekhar, Antoine Veillard, Hanlin Goh:
DeepHash: Getting Regularization, Depth and Fine-Tuning Right. CoRR abs/1501.04711 (2015) - [i2]Olivier Morère, Hanlin Goh, Antoine Veillard, Vijay Chandrasekhar, Jie Lin:
Co-Regularized Deep Representations for Video Summarization. CoRR abs/1501.07738 (2015) - [i1]Vijay Chandrasekhar, Jie Lin, Olivier Morère, Hanlin Goh, Antoine Veillard:
A Practical Guide to CNNs and Fisher Vectors for Image Instance Retrieval. CoRR abs/1508.02496 (2015) - 2014
- [j2]Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim:
Learning Deep Hierarchical Visual Feature Coding. IEEE Trans. Neural Networks Learn. Syst. 25(12): 2212-2225 (2014) - [c14]Cheston Tan
, Hanlin Goh, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim:
Understanding the Nature of First-Person Videos: Characterization and Classification Using Low-Level Features. CVPR Workshops 2014: 549-556 - 2013
- [b1]Hanlin Goh:
Learning Deep Visual Representations. (Apprentissage de Repre'sentations Visuelles Profondes). Pierre and Marie Curie University, Paris, France, 2013 - [c13]Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim:
Top-Down Regularization of Deep Belief Networks. NIPS 2013: 1878-1886 - 2012
- [c12]Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim:
Unsupervised and Supervised Visual Codes with Restricted Boltzmann Machines. ECCV (5) 2012: 298-311 - 2011
- [c11]Hanlin Goh, Lukasz Kusmierz, Joo-Hwee Lim, Nicolas Thome, Matthieu Cord:
Learning invariant color features with sparse topographic restricted Boltzmann machines. ICIP 2011: 1241-1244
2000 – 2009
- 2009
- [j1]Hanlin Goh, Joo-Hwee Lim, Chai Quek:
Fuzzy Associative Conjuncted Maps Network. IEEE Trans. Neural Networks 20(8): 1302-1319 (2009) - [c10]Hanlin Goh, Joo Hwe Lim, Chai Quek:
Learning from an ensemble of Receptive Fields. IEEE ICCI 2009: 86-93 - [c9]Jiquan Ngiam, Hanlin Goh:
Learning Global and Regional Features for Photo Annotation. CLEF (2) 2009: 287-290 - [c8]Jiquan Ngiam, Hanlin Goh:
I2R ImageCLEF Photo Annotation 2009 Working Notes. CLEF (Working Notes) 2009 - 2008
- [c7]Tat-Jun Chin, Hanlin Goh, Joo-Hwee Lim:
Boosting descriptors condensed from video sequences for place recognition. CVPR Workshops 2008: 1-8 - [c6]Tat-Jun Chin, Hanlin Goh, Joo-Hwee Lim:
Using densely recorded scenes for place recognition. ICASSP 2008: 2101-2104 - [c5]Yiqun Li, Joo-Hwee Lim, Hanlin Goh:
Cascaded classification with optimal candidate selection for effective place recognition. ICME 2008: 1493-1496 - [c4]Tat-Jun Chin, Hanlin Goh, Ngan Meng Tan:
Exact integral images at generic angles for 2D barcode detection. ICPR 2008: 1-4 - [c3]Hanlin Goh, Joo-Hwee Lim, Chai Quek:
Learning associations of conjuncted fuzzy sets for data prediction. IJCNN 2008: 1515-1522 - [c2]Joo-Hwee Lim, Jean-Pierre Chevallet, Diem Thi Hoang Le, Hanlin Goh:
Bi-modal Conceptual Indexing for Medical Image Retrieval. MMM 2008: 456-465 - 2007
- [c1]Hanlin Goh, Yiqun Li, Joo-Hwee Lim:
An image-based outdoor place recognition and information retrieval system. ACM Multimedia 2007: 160-161
Coauthor Index
aka: Josh M. Susskind
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last updated on 2024-08-08 19:17 CEST by the dblp team
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