Publications (35)
Neural Network Encapsulation
Hongyang Li, Xiaoyang Guo, Bo Dai +2
Deep Hyperspherical Learning
Weiyang Liu, Yan-Ming Zhang, Xingguo Li +4
Feature Intertwiner for Object Detection
Hongyang Li, Bo Dai, Shaoshuai Shi +2
Kernel Exponential Family Estimation via Doubly Dual Embedding
Bo Dai, Hanjun Dai, Arthur Gretton +3
Contrastive Learning for Image Captioning
Bo Dai, Dahua Lin
Iterative Machine Teaching
Weiyang Liu, Bo Dai, Ahmad Humayun +5
SERAPH: Semi-supervised Metric Learning Paradigm with Hyper Sparsity
Gang Niu, Bo Dai, Makoto Yamada +1
Backlund transformations, Ward solitons, and unitons
Bo Dai, Chuu-Lian Terng
Geometric automorphism groups of symplectic 4-manifolds
Bo Dai, Chung-I Ho, Tian-Jun Li
Provable Bayesian Inference via Particle Mirror Descent
Bo Dai, Niao He, Hanjun Dai +1
Nonparametric Estimation of Multi-View Latent Variable Models
Le Song, Animashree Anandkumar, Bo Dai +1
Periodic and homoclinic solutions of the modified 2+1 Chiral model
Bo Dai, Chuu-Lian Terng
Syntax-Directed Variational Autoencoder for Structured Data
Hanjun Dai, Yingtao Tian, Bo Dai +2
Non-orientable Lagrangian surfaces in rational 4-manifolds
Bo Dai, Chung-I Ho, Tian-Jun Li
EigenGP: Sparse Gaussian process models with data-dependent eigenfunctions
Yuan Qi, Bo Dai, Yao Zhu
Move Forward and Tell: A Progressive Generator of Video Descriptions
Yilei Xiong, Bo Dai, Dahua Lin
Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification
Harsh Shrivastava, Eugene Bart, Bob Price +3
An extension of Perelman's soul theorem for singular spaces
Jianguo Cao, Bo Dai, Jiaqiang Mei
Towards Black-box Iterative Machine Teaching
Weiyang Liu, Bo Dai, Xingguo Li +3
Decoupled Networks
Weiyang Liu, Zhen Liu, Zhiding Yu +5
Minimal genus for 4-manifolds with $b^+=1$
Bo Dai, Chung-I Ho, Tian-Jun Li
Scalable Kernel Methods via Doubly Stochastic Gradients
Bo Dai, Bo Xie, Niao He +4
Transductive Learning with Multi-class Volume Approximation
Gang Niu, Bo Dai, Marthinus Christoffel du Plessis +1
On the space-time Monopole equation
Bo Dai, Chuu-Lian Terng, Karen Uhlenbeck
Towards Diverse and Natural Image Descriptions via a Conditional GAN
Bo Dai, Sanja Fidler, Raquel Urtasun +1
Rethinking the Form of Latent States in Image Captioning
Bo Dai, Deming Ye, Dahua Lin
Information-theoretic Semi-supervised Metric Learning via Entropy Regularization
Gang Niu, Bo Dai, Makoto Yamada +1
An optimal extension of Perelman's comparison theorem for quadrangles and its applications
Jianguo Cao, Bo Dai, Jiaqiang Mei
Stochastic Generative Hashing
Bo Dai, Ruiqi Guo, Sanjiv Kumar +2
Detecting Visual Relationships with Deep Relational Networks
Bo Dai, Yuqi Zhang, Dahua Lin
Learning Deep Hidden Nonlinear Dynamics from Aggregate Data
Yisen Wang, Bo Dai, Lingkai Kong +3
Learning from Conditional Distributions via Dual Embeddings
Bo Dai, Niao He, Yunpeng Pan +2
Boosting the Actor with Dual Critic
Bo Dai, Albert Shaw, Niao He +2
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation
Bo Dai, Albert Shaw, Lihong Li +5
A Neural Compositional Paradigm for Image Captioning
Bo Dai, Sanja Fidler, Dahua Lin