Papers
Learning Dynamic Guidance for Depth Image Enhancement
Shuhang Gu, Wangmeng Zuo, Shi Guo et al.
Learning Dynamics Across Similar Spatiotemporally-Evolving Physical Systems
Joshua Whitman, Girish Chowdhary
Learning Efficient Object Detection Models with Knowledge Distillation
Guobin Chen, Wongun Choi, Xiang Yu et al.
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation
Guan-Horng Liu, Avinash Siravuru, Sai Prabhakar et al.
Learning Factorized Transforms for Unsupervised Adaptation of LSTM-RNN Acoustic Models
Lahiru Samarakoon, Brian Mak, Khe Chai Sim
Learning Feasibility Constraints for Multicontact Locomotion of Legged Robots
Justin Carpentier, Rohan Budhiraja, Nicolas Mansard
Learning Feature Engineering for Classification
Fatemeh Nargesian, Horst Samulowitz, Udayan Khurana et al.
Learning Features by Watching Objects Move
Deepak Pathak, Ross Girshick, Piotr Dollar et al.
Learning Fine-Grained Expressions to Solve Math Word Problems
Danqing Huang, Shuming Shi, Chin-Yew Lin et al.
Learning Fine-grained Relations from Chinese User Generated Categories
Chengyu Wang, Yan Fan, Xiaofeng He et al.
Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis
Ahmed M. Alaa, Scott Hu, Mihaela Schaar
Learning from Complementary Labels
Takashi Ishida, Gang Niu, Weihua Hu et al.
Learning from Conditional Distributions via Dual Embeddings
Bo Dai, Niao He, Yunpeng Pan et al.
Learning from Demonstrations with High-Level Side Information
Min Wen, Ivan Papusha, Ufuk Topcu
Learning from Networked Examples
Yuyi Wang, Zheng-Chu Guo, Jan Ramon
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Andreas Veit, Neil Alldrin, Gal Chechik et al.
Learning from Ontology Streams with Semantic Concept Drift
Jiaoyan Chen, Freddy Lecue, Jeff Z. Pan et al.
Learning From Simulated and Unsupervised Images Through Adversarial Training
Ashish Shrivastava, Tomas Pfister, Oncel Tuzel et al.
Learning From Synthetic Humans
Gul Varol, Javier Romero, Xavier Martin et al.
Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes
Anton Mallasto, Aasa Feragen
Learning Fully Convolutional Networks for Iterative Non-Blind Deconvolution
Jiawei Zhang, Jinshan Pan, Wei-Sheng Lai et al.
Learning Generic Sentence Representations Using Convolutional Neural Networks
Zhe Gan, Yunchen Pu, Ricardo Henao et al.
Learning Gradient Descent: Better Generalization and Longer Horizons
Kaifeng Lv, Shunhua Jiang, Jian Li
Learning Graphical Games from Behavioral Data: Sufficient and Necessary Conditions
Asish Ghoshal, Jean Honorio