Hanlin Goh

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 24

Top Venues

CoRR

ICLR

ICML

DCC

Pierre and Marie Curie University, Paris, France (PHD)

Education History

Pierre and Marie Curie University, Paris, France

PHD

Publications

Yuhang Zang, Hanlin Goh, Joshua M. Susskind, Chen Huang
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization. ICLR (2024)
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)
Yuhang Zang, Hanlin Goh, Josh M. Susskind, Chen Huang
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization. CoRR (2024)
Sayeri Lala, Hanlin Goh, Christopher M. Sandino
Label-Efficient Sleep Staging Using Transformers Pre-trained with Position Prediction. CoRR (2024)
Chen Huang, Hanlin Goh, Jiatao Gu, Joshua M. Susskind
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors. ICLR (2023)
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 (2023)
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 (2023)
Chen Huang, Hanlin Goh, Jiatao Gu, Josh M. Susskind
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors. CoRR (2023)
Yao-Hung Hubert Tsai, Hanlin Goh, Ali Farhadi, Jian Zhang
Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents. CoRR (2022)
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 (2022)
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)
Hsiang-Yun Sherry Chien, Hanlin Goh, Christopher M. Sandino, Joseph Y. Cheng
MAEEG: Masked Auto-encoder for EEG Representation Learning. CoRR (2022)
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)
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 (2022)
Shuangfei Zhai, Walter Talbott, Nitish Srivastava, Chen Huang, Hanlin Goh, Ruixiang Zhang, Josh M. Susskind
An Attention Free Transformer. CoRR (2021)
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 (2021)
Yue Wu, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning. CoRR (2021)
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)
Joseph Y. Cheng, Hanlin Goh, Kaan Dogrusoz, Oncel Tuzel, Erdrin Azemi
Subject-Aware Contrastive Learning for Biosignals. CoRR (2020)
Yao-Hung Hubert Tsai, Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov
Capsules with Inverted Dot-Product Attention Routing. CoRR (2020)
Yao-Hung Hubert Tsai, Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov
Capsules with Inverted Dot-Product Attention Routing. ICLR (2020)
Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov
Geometric Capsule Autoencoders for 3D Point Clouds. CoRR (2019)
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)
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 (2016)
Olivier Morère, Hanlin Goh, Antoine Veillard, Vijay Chandrasekhar, Jie Lin
Co-regularized deep representations for video summarization. ICIP (2015)
Olivier Morère, Hanlin Goh, Antoine Veillard, Vijay Chandrasekhar, Jie Lin
Co-Regularized Deep Representations for Video Summarization. CoRR (2015)
Vijay Chandrasekhar, Jie Lin, Olivier Morère, Antoine Veillard, Hanlin Goh
Compact Global Descriptors for Visual Search. DCC (2015)
Vijay Chandrasekhar, Jie Lin, Olivier Morère, Hanlin Goh, Antoine Veillard
A Practical Guide to CNNs and Fisher Vectors for Image Instance Retrieval. CoRR (2015)
Jie Lin, Olivier Morère, Vijay Chandrasekhar, Antoine Veillard, Hanlin Goh
DeepHash: Getting Regularization, Depth and Fine-Tuning Right. CoRR (2015)
Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim
Learning Deep Hierarchical Visual Feature Coding. IEEE Trans. Neural Networks Learn. Syst. 25 (12) (2014)
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)
Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim
Top-Down Regularization of Deep Belief Networks. NIPS (2013)
Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim
Unsupervised and Supervised Visual Codes with Restricted Boltzmann Machines. ECCV (5) (2012)
Hanlin Goh, Lukasz Kusmierz, Joo-Hwee Lim, Nicolas Thome, Matthieu Cord
Learning invariant color features with sparse topographic restricted Boltzmann machines. ICIP (2011)
Jiquan Ngiam, Hanlin Goh
Learning Global and Regional Features for Photo Annotation. CLEF (2) (2009)
Jiquan Ngiam, Hanlin Goh
I2R ImageCLEF Photo Annotation 2009 Working Notes. CLEF (Working Notes) (2009)
Hanlin Goh, Joo-Hwee Lim, Chai Quek
Fuzzy Associative Conjuncted Maps Network. IEEE Trans. Neural Networks 20 (8) (2009)
Hanlin Goh, Joo Hwe Lim, Chai Quek
Learning from an ensemble of Receptive Fields. IEEE ICCI (2009)
Tat-Jun Chin, Hanlin Goh, Joo-Hwee Lim
Boosting descriptors condensed from video sequences for place recognition. CVPR Workshops (2008)
Tat-Jun Chin, Hanlin Goh, Joo-Hwee Lim
Using densely recorded scenes for place recognition. ICASSP (2008)
Tat-Jun Chin, Hanlin Goh, Ngan Meng Tan
Exact integral images at generic angles for 2D barcode detection. ICPR (2008)
Joo-Hwee Lim, Jean-Pierre Chevallet, Diem Thi Hoang Le, Hanlin Goh
Bi-modal Conceptual Indexing for Medical Image Retrieval. MMM (2008)
Yiqun Li, Joo-Hwee Lim, Hanlin Goh
Cascaded classification with optimal candidate selection for effective place recognition. ICME (2008)
Hanlin Goh, Joo-Hwee Lim, Chai Quek
Learning associations of conjuncted fuzzy sets for data prediction. IJCNN (2008)
Hanlin Goh, Yiqun Li, Joo-Hwee Lim
An image-based outdoor place recognition and information retrieval system. ACM Multimedia (2007)

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Publication Activity (10 Years)

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Hanlin Goh