Publications (34)
Hyper-parameter Tuning under a Budget Constraint
Zhiyun Lu, Chao-Kai Chiang, Fei Sha
Kernel Approximation Methods for Speech Recognition
Avner May, Alireza Bagheri Garakani, Zhiyun Lu +9
Cross-Modal and Hierarchical Modeling of Video and Text
Bowen Zhang, Hexiang Hu, Fei Sha
Learning Answer Embeddings for Visual Question Answering
Hexiang Hu, Wei-Lun Chao, Fei Sha
Attention Correctness in Neural Image Captioning
Chenxi Liu, Junhua Mao, Fei Sha +1
Sparse Compositional Metric Learning
Yuan Shi, Aurélien Bellet, Fei Sha
Synthesized Classifiers for Zero-Shot Learning
Soravit Changpinyo, Wei-Lun Chao, Boqing Gong +1
Marginalized Denoising Autoencoders for Domain Adaptation
Minmin Chen, Zhixiang Xu, Kilian Weinberger +1
Learning Discriminative Metrics via Generative Models and Kernel Learning
Yuan Shi, Yung-Kyun Noh, Fei Sha +1
A Distributed Frank-Wolfe Algorithm for Communication-Efficient Sparse Learning
Aurélien Bellet, Yingyu Liang, Alireza Bagheri Garakani +2
Cross-Dataset Adaptation for Visual Question Answering
Wei-Lun Chao, Hexiang Hu, Fei Sha
How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets
Zhiyun Lu, Avner May, Kuan Liu +8
Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation
Yuan Shi, Fei Sha
Understanding Image and Text Simultaneously: a Dual Vision-Language Machine Comprehension Task
Nan Ding, Sebastian Goodman, Fei Sha +1
Multi-Task Learning for Sequence Tagging: An Empirical Study
Soravit Changpinyo, Hexiang Hu, Fei Sha
Aiming to Know You Better Perhaps Makes Me a More Engaging Dialogue Partner
Yury Zemlyanskiy, Fei Sha
LabelBank: Revisiting Global Perspectives for Semantic Segmentation
Hexiang Hu, Zhiwei Deng, Guang-Tong Zhou +2
Video Summarization with Long Short-term Memory
Ke Zhang, Wei-Lun Chao, Fei Sha +1
Demystifying Information-Theoretic Clustering
Greg Ver Steeg, Aram Galstyan, Fei Sha +1
Rapid Feature Learning with Stacked Linear Denoisers
Zhixiang Eddie Xu, Kilian Q. Weinberger, Fei Sha
Classifier and Exemplar Synthesis for Zero-Shot Learning
Soravit Changpinyo, Wei-Lun Chao, Boqing Gong +1
A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition
Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani +8
Aligning where to see and what to tell: image caption with region-based attention and scene factorization
Junqi Jin, Kun Fu, Runpeng Cui +2
Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning
Soravit Changpinyo, Wei-Lun Chao, Fei Sha
FastMask: Segment Multi-scale Object Candidates in One Shot
Hexiang Hu, Shiyi Lan, Yuning Jiang +2
Large-Margin Determinantal Point Processes
Boqing Gong, Wei-lun Chao, Kristen Grauman +1
Two-Stage Metric Learning
Jun Wang, Ke Sun, Fei Sha +2
Summary Transfer: Exemplar-based Subset Selection for Video Summarization
Ke Zhang, Wei-Lun Chao, Fei Sha +1
An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild
Wei-Lun Chao, Soravit Changpinyo, Boqing Gong +1
Recalling Holistic Information for Semantic Segmentation
Hexiang Hu, Zhiwei Deng, Guang-tong Zhou +2
Neural Theorem Provers Do Not Learn Rules Without Exploration
Michiel de Jong, Fei Sha
Actor-Attention-Critic for Multi-Agent Reinforcement Learning
Shariq Iqbal, Fei Sha
Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets
Wei-Lun Chao, Hexiang Hu, Fei Sha
An alternative text representation to TF-IDF and Bag-of-Words
Zhixiang, Xu, Minmin Chen +2