Papers
Learning by Fixing: Solving Math Word Problems with Weak Supervision
Yining Hong, Qing Li, Daniel Ciao et al.
Learning Complex 3D Human Self-Contact
Mihai Fieraru, Mihai Zanfir, Elisabeta Oneata et al.
Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior
Anh Tong, Toan M Tran, Hung Bui et al.
Learning Comprehensive Motion Representation for Action Recognition
Mingyu Wu, Boyuan Jiang, Donghao Luo et al.
Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training
Peng Shi, Patrick Ng, Zhiguo Wang et al.
Learning Continuous High-Dimensional Models using Mutual Information and Copula Bayesian Networks
Marvin Lasserre, Régis Lebrun, Pierre-Henri Wuillemin
Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation
Jianwen Xie, Zilong Zheng, Xiaolin Fang et al.
Learning Deep Generative Models for Queuing Systems
Cesar Ojeda, Kostadin Cvejoski, Bodgan Georgiev et al.
Learning Disentangled Representation for Fair Facial Attribute Classification via Fairness-aware Information Alignment
Sungho Park, Sunhee Hwang, Dohyung Kim et al.
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