Hanlin Goh - RankMe

48 papers A* 8A 1B 7Misc 1Journal 23Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	How PARTs assemble into wholes: Learning the relative composition of images. CoRR Melika Ayoughi, Samira Abnar, Chen Huang, Christopher Michael Sandino, Sayeri Lala, Eeshan Gunesh Dhekane, Dan Busbridge, Shuangfei Zhai, Vimal Thilak, Joshua M. Susskind, Pascal Mettes, Paul Groth, Hanlin Goh
2025	J	`jnl`	Learning the relative composition of EEG signals using pairwise relative shift pretraining. CoRR Christopher M. Sandino, Sayeri Lala, Geeling Chau, Melika Ayoughi, Behrooz Mahasseni, Ellen L. Zippi, Ali Moin, Erdrin Azemi, Hanlin Goh
2024	J	`jnl`	Label-Efficient Sleep Staging Using Transformers Pre-trained with Position Prediction. CoRR Sayeri Lala, Hanlin Goh, Christopher M. Sandino
2024	A*	`conf`	LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures. ICLR Vimal Thilak, Chen Huang, Omid Saremi, Laurent Dinh, Hanlin Goh, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin
2024	A*	`conf`	Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization. ICLR Yuhang Zang, Hanlin Goh, Joshua M. Susskind, Chen Huang
2024	J	`jnl`	Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization. CoRR Yuhang Zang, Hanlin Goh, Josh M. Susskind, Chen Huang
2023	J	`jnl`	Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals. CoRR Ran Liu, Ellen L. Zippi, Hadi Pouransari, Christopher M. Sandino, Jingping Nie, Hanlin Goh, Erdrin Azemi, Ali Moin
2023	J	`jnl`	LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures. CoRR Vimal Thilak, Chen Huang, Omid Saremi, Laurent Dinh, Hanlin Goh, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin
2023	A*	`conf`	MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors. ICLR Chen Huang, Hanlin Goh, Jiatao Gu, Joshua M. Susskind
2023	J	`jnl`	MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors. CoRR Chen Huang, Hanlin Goh, Jiatao Gu, Josh M. Susskind
2022	A*	`conf`	GAUDI: A Neural Architect for Immersive 3D Scene Generation. NeurIPS 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
2022	J	`jnl`	GAUDI: A Neural Architect for Immersive 3D Scene Generation. CoRR 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
2022	J	`jnl`	MAEEG: Masked Auto-encoder for EEG Representation Learning. CoRR Hsiang-Yun Sherry Chien, Hanlin Goh, Christopher M. Sandino, Joseph Y. Cheng
2022	A*	`conf`	Position Prediction as an Effective Pretraining Strategy. ICML Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Y. Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind
2022	J	`jnl`	Position Prediction as an Effective Pretraining Strategy. CoRR Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Yitan Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind
2022	J	`jnl`	Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents. CoRR Yao-Hung Hubert Tsai, Hanlin Goh, Ali Farhadi, Jian Zhang
2021	J	`jnl`	An Attention Free Transformer. CoRR Shuangfei Zhai, Walter Talbott, Nitish Srivastava, Chen Huang, Hanlin Goh, Ruixiang Zhang, Josh M. Susskind
2021	J	`jnl`	Implicit Acceleration and Feature Learning in Infinitely Wide Neural Networks with Bottlenecks. CoRR Etai Littwin, Omid Saremi, Shuangfei Zhai, Vimal Thilak, Hanlin Goh, Joshua M. Susskind, Greg Yang
2021	A*	`conf`	Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning. ICML Yue Wu, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh
2021	J	`jnl`	Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning. CoRR Yue Wu, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh
2020	A*	`conf`	Capsules with Inverted Dot-Product Attention Routing. ICLR Yao-Hung Hubert Tsai, Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov
2020	J	`jnl`	Capsules with Inverted Dot-Product Attention Routing. CoRR Yao-Hung Hubert Tsai, Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov
2020	J	`jnl`	Subject-Aware Contrastive Learning for Biosignals. CoRR Joseph Y. Cheng, Hanlin Goh, Kaan Dogrusoz, Oncel Tuzel, Erdrin Azemi
2019	J	`jnl`	Geometric Capsule Autoencoders for 3D Point Clouds. CoRR Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov
2017	B	`conf`	DeepHash for Image Instance Retrieval: Getting Regularization, Depth and Fine-Tuning Right. ICMR Jie Lin, Olivier Morère, Antoine Veillard, Ling-Yu Duan, Hanlin Goh, Vijay Chandrasekhar
2016	J	`jnl`	A practical guide to CNNs and Fisher Vectors for image instance retrieval. Signal Process. Vijay Chandrasekhar, Jie Lin, Olivier Morère, Hanlin Goh, Antoine Veillard
2015	J	`jnl`	A Practical Guide to CNNs and Fisher Vectors for Image Instance Retrieval. CoRR Vijay Chandrasekhar, Jie Lin, Olivier Morère, Hanlin Goh, Antoine Veillard
2015	J	`jnl`	Co-Regularized Deep Representations for Video Summarization. CoRR Olivier Morère, Hanlin Goh, Antoine Veillard, Vijay Chandrasekhar, Jie Lin
2015	B	`conf`	Co-regularized deep representations for video summarization. ICIP Olivier Morère, Hanlin Goh, Antoine Veillard, Vijay Chandrasekhar, Jie Lin
2015	B	`conf`	Compact Global Descriptors for Visual Search. DCC Vijay Chandrasekhar, Jie Lin, Olivier Morère, Antoine Veillard, Hanlin Goh
2015	J	`jnl`	DeepHash: Getting Regularization, Depth and Fine-Tuning Right. CoRR Jie Lin, Olivier Morère, Vijay Chandrasekhar, Antoine Veillard, Hanlin Goh
2014	J	`jnl`	Learning Deep Hierarchical Visual Feature Coding. IEEE Trans. Neural Networks Learn. Syst. Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim
2014	—	`conf`	Understanding the Nature of First-Person Videos: Characterization and Classification Using Low-Level Features. CVPR Workshops Cheston Tan, Hanlin Goh, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim
2013	—	`—`	Learning Deep Visual Representations. (Apprentissage de Repre'sentations Visuelles Profondes). Hanlin Goh
2013	—	`conf`	Top-Down Regularization of Deep Belief Networks. NIPS Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim
2012	—	`conf`	Unsupervised and Supervised Visual Codes with Restricted Boltzmann Machines. ECCV (5) Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim
2011	B	`conf`	Learning invariant color features with sparse topographic restricted Boltzmann machines. ICIP Hanlin Goh, Lukasz Kusmierz, Joo-Hwee Lim, Nicolas Thome, Matthieu Cord
2009	J	`jnl`	Fuzzy Associative Conjuncted Maps Network. IEEE Trans. Neural Networks Hanlin Goh, Joo-Hwee Lim, Chai Quek
2009	—	`conf`	I2R ImageCLEF Photo Annotation 2009 Working Notes. CLEF (Working Notes) Jiquan Ngiam, Hanlin Goh
2009	—	`conf`	Learning Global and Regional Features for Photo Annotation. CLEF (2) Jiquan Ngiam, Hanlin Goh
2009	—	`conf`	Learning from an ensemble of Receptive Fields. IEEE ICCI Hanlin Goh, Joo Hwe Lim, Chai Quek
2008	B	`conf`	Bi-modal Conceptual Indexing for Medical Image Retrieval. MMM Joo-Hwee Lim, Jean-Pierre Chevallet, Diem Thi Hoang Le, Hanlin Goh
2008	—	`conf`	Boosting descriptors condensed from video sequences for place recognition. CVPR Workshops Tat-Jun Chin, Hanlin Goh, Joo-Hwee Lim
2008	A	`conf`	Cascaded classification with optimal candidate selection for effective place recognition. ICME Yiqun Li, Joo-Hwee Lim, Hanlin Goh
2008	B	`conf`	Exact integral images at generic angles for 2D barcode detection. ICPR Tat-Jun Chin, Hanlin Goh, Ngan Meng Tan
2008	B	`conf`	Learning associations of conjuncted fuzzy sets for data prediction. IJCNN Hanlin Goh, Joo-Hwee Lim, Chai Quek
2008	Misc	`conf`	Using densely recorded scenes for place recognition. ICASSP Tat-Jun Chin, Hanlin Goh, Joo-Hwee Lim
2007	A*	`conf`	An image-based outdoor place recognition and information retrieval system. ACM Multimedia Hanlin Goh, Yiqun Li, Joo-Hwee Lim