Papers
176,624 papers found
Learning to Search Better than Your Teacher
Kai-Wei Chang, Akshay Krishnamurthy, Alekh Agarwal et al.
Learning to See by Moving
Pulkit Agrawal, Joao Carreira, Jitendra Malik
Learning to Segment Moving Objects in Videos
Katerina Fragkiadaki, Pablo Arbelaez, Panna Felsen et al.
Learning to Segment Object Candidates
Pedro O O. Pinheiro, Ronan Collobert, Piotr Dollar
Learning to Segment Under Various Forms of Weak Supervision
Jia Xu, Alexander G. Schwing, Raquel Urtasun
Learning to Track for Spatio-Temporal Action Localization
Philippe Weinzaepfel, Zaid Harchaoui, Cordelia Schmid
Learning to Track: Online Multi-Object Tracking by Decision Making
Yu Xiang, Alexandre Alahi, Silvio Savarese
Learning to Transduce with Unbounded Memory
Edward Grefenstette, Karl Moritz Hermann, Mustafa Suleyman et al.
Learning to Transfer: Transferring Latent Task Structures and Its Application to Person-Specific Facial Action Unit Detection
Timur Almaev, Brais Martinez, Michel Valstar
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long, Yue Cao, Jianmin Wang et al.
Learning Transformations for Clustering and Classification
Qiang Qiu, Guillermo Sapiro
Learning Using Privileged Information: Similarity Control and Knowledge Transfer
Vladimir Vapnik, Rauf Izmailov
Learning visual biases from human imagination
Carl Vondrick, Hamed Pirsiavash, Aude Oliva et al.
Learning Visual Clothing Style With Heterogeneous Dyadic Co-Occurrences
Andreas Veit, Balazs Kovacs, Sean Bell et al.
Learning Wake-Sleep Recurrent Attention Models
Jimmy Ba, Ruslan Salakhutdinov, Roger B Grosse et al.
Learning Where to Position Parts in 3D
Marco Pedersoli, Tinne Tuytelaars
Learning with a Wasserstein Loss
Charlie Frogner, Chiyuan Zhang, Hossein Mobahi et al.
Learning With Dataset Bias in Latent Subcategory Models
Dimitris Stamos, Samuele Martelli, Moin Nabi et al.
Learning with Group Invariant Features: A Kernel Perspective.
Youssef Mroueh, Stephen Voinea, Tomaso A Poggio
Learning with Incremental Iterative Regularization
Lorenzo Rosasco, Silvia Villa
Learning with Relaxed Supervision
Jacob Steinhardt, Percy Liang
Learning with Square Loss: Localization through Offset Rademacher Complexity
Tengyuan Liang, Alexander Rakhlin, Karthik Sridharan
Learning with Symmetric Label Noise: The Importance of Being Unhinged
Brendan van Rooyen, Aditya Menon, Robert C. Williamson
Learning with the Maximum Correntropy Criterion Induced Losses for Regression
Yunlong Feng, Xiaolin Huang, Lei Shi et al.
Learning Word Representations with Hierarchical Sparse Coding
Dani Yogatama, Manaal Faruqui, Chris Dyer et al.