Papers
Learning Dynamics Models with Stable Invariant Sets
Naoya Takeishi, Yoshinobu Kawahara
Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler
Jianwen Xie, Zilong Zheng, Ping Li
Learning Flexibly Distributional Representation for Low-quality 3D Face Recognition
Zihui Zhang, Cuican Yu, Shuang Xu et al.
Learning from Crowds by Modeling Common Confusions
Zhendong Chu, Jing Ma, Hongning Wang
Learning from eXtreme Bandit Feedback
Romain Lopez, Inderjit S. Dhillon, Michael I. Jordan
Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks
Cunchao Zhu, Muhao Chen, Changjun Fan et al.
Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks
Zhiliang Tian, Wei Bi, Zihan Zhang et al.
Learning from Noisy Labels with Complementary Loss Functions
Deng-Bao Wang, Yong Wen, Lujia Pan et al.
Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration
Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz
Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers
Philipp Geiger, Christoph-Nikolas Straehle
Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning
Rushang Karia, Siddharth Srivastava
Learning General Planning Policies from Small Examples Without Supervision
Guillem Francès, Blai Bonet, Hector Geffner
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud
Mutian Xu, Junhao Zhang, Zhipeng Zhou et al.
Learning Graph Neural Networks with Approximate Gradient Descent
Qunwei Li, Shaofeng Zou, Wenliang Zhong
Learning Graphons via Structured Gromov-Wasserstein Barycenters
Hongteng Xu, Dixin Luo, Lawrence Carin et al.
Learning Hybrid Relationships for Person Re-identification
Shuang Liu, Wenmin Huang, Zhong Zhang
Learning Intact Features by Erasing-Inpainting for Few-shot Classification
Junjie Li, Zilei Wang, Xiaoming Hu
Learning Interpretable Models for Coupled Networks Under Domain Constraints
Hongyuan You, Sikun Lin, Ambuj Singh
Learning Intuitive Physics with Multimodal Generative Models
Sahand Rezaei-Shoshtari, Francois R. Hogan, Michael Jenkin et al.
Learning Invariant Representations using Inverse Contrastive Loss
Aditya Kumar Akash, Vishnu Suresh Lokhande, Sathya N. Ravi et al.
Learning Light-Weight Translation Models from Deep Transformer
Bei Li, Ziyang Wang, Hui Liu et al.
Learning Local Neighboring Structure for Robust 3D Shape Representation
Zhongpai Gao, Junchi Yan, Guangtao Zhai et al.
Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis
Wenmeng Yu, Hua Xu, Ziqi Yuan et al.
Learning Model-Based Privacy Protection under Budget Constraints
Junyuan Hong, Haotao Wang, Zhangyang Wang et al.
Learning Modulated Loss for Rotated Object Detection
Wen Qian, Xue Yang, Silong Peng et al.