Papers
Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition
Yaming Wang, Vlad I. Morariu, Larry S. Davis
Learning a Discriminative Prior for Blind Image Deblurring
Lerenhan Li, Jinshan Pan, Wei-Sheng Lai et al.
Learning Adversarially Fair and Transferable Representations
David Madras, Elliot Creager, Toniann Pitassi et al.
Learning a Generative Model for Validity in Complex Discrete Structures
Dave Janz, Jos van der Westhuizen, Brooks Paige et al.
Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization
Jie Cao, Yibo Hu, Hongwen Zhang et al.
Learning a latent manifold of odor representations from neural responses in piriform cortex
Anqi Wu, Stan Pashkovski, Sandeep R Datta et al.
Learning a Mixture of Two Multinomial Logits
Flavio Chierichetti, Ravi Kumar, Andrew Tomkins
Learning and Communicating the Latent States of Human-Machine Collaboration
Vaibhav V. Unhelkar, Julie A. Shah
Learning and Evaluating Sparse Interpretable Sentence Embeddings
Valentin Trifonov, Octavian-Eugen Ganea, Anna Potapenko et al.
Learning and Inference in Hilbert Space with Quantum Graphical Models
Siddarth Srinivasan, Carlton Downey, Byron Boots
Learning and Matching Multi-View Descriptors for Registration of Point Clouds
Lei Zhou, Siyu Zhu, Zixin Luo et al.
Learning and Memorization
Satrajit Chatterjee
Learning and Modeling Unit Embeddings for Improving HMM-based Unit Selection Speech Synthesis
Xiao Zhou, Zhen-Hua Ling, Zhi-Ping Zhou et al.
Learning and Testing Causal Models with Interventions
Jayadev Acharya, Arnab Bhattacharyya, Constantinos Daskalakis et al.
Learning and Using the Arrow of Time
Donglai Wei, Joseph J. Lim, Andrew Zisserman et al.
Learning an Embedding Space for Transferable Robot Skills
Karol Hausman, Jost Tobias Springenberg, Ziyu Wang et al.
Learning a neural response metric for retinal prosthesis
Nishal P Shah, Sasidhar Madugula, EJ Chichilnisky et al.
Learning Answer Embeddings for Visual Question Answering
Hexiang Hu, Wei-Lun Chao, Fei Sha
Learning a Policy for Opportunistic Active Learning
Aishwarya Padmakumar, Peter Stone, Raymond Mooney
Learning Approximate Inference Networks for Structured Prediction
Lifu Tu, Kevin Gimpel
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations
Kai Zhang, Wangmeng Zuo, Lei Zhang
Learning Attentional Communication for Multi-Agent Cooperation
Jiechuan Jiang, Zongqing Lu
Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking
Qiang Wang, Zhu Teng, Junliang Xing et al.
Learning Attractor Dynamics for Generative Memory
Yan Wu, Gregory Wayne, Karol Gregor et al.
Learning Attribute Representations With Localization for Flexible Fashion Search
Kenan E. Ak, Ashraf A. Kassim, Joo Hwee Lim et al.