Papers
Launch and Iterate: Reducing Prediction Churn
Mahdi Milani Fard, Quentin Cormier, Kevin Canini et al.
Layered Scene Decomposition via the Occlusion-CRF
Chen Liu, Pushmeet Kohli, Yasutaka Furukawa
LazySVD: Even Faster SVD Decomposition Yet Without Agonizing Pain
Zeyuan Allen-Zhu, Yuanzhi Li
Learnability of Non-I.I.D.
Wei Gao, Xin-Yi Niu, Zhi-Hua Zhou
Learnable Visual Markers
Oleg Grinchuk, Vadim Lebedev, Victor Lempitsky
Learned Binary Spectral Shape Descriptor for 3D Shape Correspondence
Jin Xie, Meng Wang, Yi Fang
Learned Region Sparsity and Diversity Also Predicts Visual Attention
Zijun Wei, Hossein Adeli, Minh Hoai Nguyen et al.
Learning Action Maps of Large Environments via First-Person Vision
Nicholas Rhinehart, Kris M. Kitani
Learning Activity Progression in LSTMs for Activity Detection and Early Detection
Shugao Ma, Leonid Sigal, Stan Sclaroff
Learning Additive Exponential Family Graphical Models via $\ell_{2,1}$-norm Regularized M-Estimation
Xiaotong Yuan, Ping Li, Tong Zhang et al.
Learning a Discriminative Null Space for Person Re-Identification
Li Zhang, Tao Xiang, Shaogang Gong
Learning a Lexicon and Translation Model from Phoneme Lattices
Oliver Adams, Graham Neubig, Trevor Cohn et al.
Learning Algorithms for Second-Price Auctions with Reserve
Mehryar Mohri, Andres Munoz Medina
Learning Aligned Cross-Modal Representations From Weakly Aligned Data
Lluis Castrejon, Yusuf Aytar, Carl Vondrick et al.
Learning a Metric Embedding for Face Recognition using the Multibatch Method
Oren Tadmor, Tal Rosenwein, Shai Shalev-Shwartz et al.
Learning and 1-bit Compressed Sensing under Asymmetric Noise
Pranjal Awasthi, Maria-Florina Balcan, Nika Haghtalab et al.
Learning and Forecasting Opinion Dynamics in Social Networks
Abir De, Isabel Valera, Niloy Ganguly et al.
Learning and Inference via Maximum Inner Product Search
Stephen Mussmann, Stefano Ermon
Learning and Testing Junta Distributions
Maryam Aliakbarpour, Eric Blais, Ronitt Rubinfeld
Learning a POS tagger for AAVE-like language
Anna Jørgensen, Dirk Hovy, Anders Søgaard
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu, Chengkai Zhang, Tianfan Xue et al.
Learning a Translation Model from Word Lattices
Oliver Adams, Graham Neubig, Trevor Cohn et al.
Learning Attributes Equals Multi-Source Domain Generalization
Chuang Gan, Tianbao Yang, Boqing Gong