Papers
DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition
Weizhou Shen, Junqing Chen, Xiaojun Quan et al.
DIBS: Diversity Inducing Information Bottleneck in Model Ensembles
Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal et al.
Differentiable Fluids with Solid Coupling for Learning and Control
Tetsuya Takahashi, Junbang Liang, Yi-Ling Qiao et al.
Differentiable Inductive Logic Programming for Structured Examples
Hikaru Shindo, Masaaki Nishino, Akihiro Yamamoto
Differentially Private and Communication Efficient Collaborative Learning
Jiahao Ding, Guannan Liang, Jinbo Bi et al.
Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach
Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck
Differentially Private Clustering via Maximum Coverage
Matthew Jones, Huy L. Nguyen, Thy D Nguyen
Differentially Private Decomposable Submodular Maximization
Anamay Chaturvedi, Huy Lê Nguyễn, Lydia Zakynthinou
Differentially Private k-Means via Exponential Mechanism and Max Cover
Huy L. Nguyen, Anamay Chaturvedi, Eric Z Xu
Differentially Private Link Prediction with Protected Connections
Abir De, Soumen Chakrabarti
Differentially Private Stochastic Coordinate Descent
Georgios Damaskinos, Celestine Mendler-Dünner, Rachid Guerraoui et al.
Differential Spectral Normalization (DSN) for PDE Discovery
Chi Chiu So, Tsz On Li, Chufang Wu et al.
Diffusion Network Inference from Partial Observations
Ting Gan, Keqi Han, Hao Huang et al.
DirectQE: Direct Pretraining for Machine Translation Quality Estimation
Qu Cui, Shujian Huang, Jiahuan Li et al.
DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection
Hao-Shu Fang, Yichen Xie, Dian Shao et al.
Discovering Fully Oriented Causal Networks
Osman A Mian, Alexander Marx, Jilles Vreeken
Discovering New Intents with Deep Aligned Clustering
Hanlei Zhang, Hua Xu, Ting-En Lin et al.
Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation
Beomyoung Kim, Sangeun Han, Junmo Kim
Disentangled Information Bottleneck
Ziqi Pan, Li Niu, Jianfu Zhang et al.
Disentangled Motif-aware Graph Learning for Phrase Grounding
Zongshen Mu, Siliang Tang, Jie Tan et al.
Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory Prediction
Inhwan Bae, Hae-Gon Jeon
Disentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond
Shifu Hou, Yujie Fan, Mingxuan Ju et al.
Disjunctive Temporal Problems under Structural Restrictions
Konrad K Dabrowski, Peter Jonsson, Sebastian Ordyniak et al.
Disposable Linear Bandits for Online Recommendations
Melda Korkut, Andrew Li
Distant Transfer Learning via Deep Random Walk
Qiao Xiao, Yu Zhang