Papers
Learning SMaLL Predictors
Vikas Garg, Ofer Dekel, Lin Xiao
Learning SMT(LRA) Constraints using SMT Solvers
Samuel Kolb, Stefano Teso, Andrea Passerini et al.
Learning SO(3) Equivariant Representations with Spherical CNNs
Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia et al.
Learning Sparse Latent Representations with the Deep Copula Information Bottleneck
Aleksander Wieczorek*, Mario Wieser*, Damian Murezzan et al.
Learning Sparse Neural Networks through L_0 Regularization
Christos Louizos, Max Welling, Diederik P. Kingma
Learning sparse neural networks via sensitivity-driven regularization
Enzo Tartaglione, Skjalg Lepsøy, Attilio Fiandrotti et al.
Learning Sparse Polymatrix Games in Polynomial Time and Sample Complexity
Asish Ghoshal, Jean Honorio
Learning Spatial-Aware Regressions for Visual Tracking
Chong Sun, Dong Wang, Huchuan Lu et al.
Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking
Feng Li, Cheng Tian, Wangmeng Zuo et al.
Learning Spontaneity to Improve Emotion Recognition in Speech
Karttikeya Mangalam, Tanaya Guha
Learning Steady-States of Iterative Algorithms over Graphs
Hanjun Dai, Zornitsa Kozareva, Bo Dai et al.
Learning Steerable Filters for Rotation Equivariant CNNs
Maurice Weiler, Fred A. Hamprecht, Martin Storath
Learning Strict Identity Mappings in Deep Residual Networks
Xin Yu, Zhiding Yu, Srikumar Ramalingam
Learning Structural Weight Uncertainty for Sequential Decision-Making
Ruiyi Zhang, Chunyuan Li, Changyou Chen et al.
Learning Structure and Strength of CNN Filters for Small Sample Size Training
Rohit Keshari, Mayank Vatsa, Richa Singh et al.
Learning Structured Dictionaries for Exemplar-based Voice Conversion
Shaojin Ding, Christopher Liberatore, Ricardo Gutierrez-Osuna
Learning Superpixels With Segmentation-Aware Affinity Loss
Wei-Chih Tu, Ming-Yu Liu, Varun Jampani et al.
Learning Tag Dependencies for Sequence Tagging
Yuan Zhang, Hongshen Chen, Yihong Zhao et al.
Learning Target-Specific Representations of Financial News Documents For Cumulative Abnormal Return Prediction
Junwen Duan, Yue Zhang, Xiao Ding et al.
Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision
Kuan Fang, Yuke Zhu, Animesh Garg et al.
Learning Task Specifications from Demonstrations
Marcell Vazquez-Chanlatte, Susmit Jha, Ashish Tiwari et al.
Learning Temporal Point Processes via Reinforcement Learning
Shuang Li, Shuai Xiao, Shixiang Zhu et al.
Learning Text Representations for 500K Classification Tasks on Named Entity Disambiguation
Ander Barrena, Aitor Soroa, Eneko Agirre
Learning Thematic Similarity Metric from Article Sections Using Triplet Networks
Liat Ein Dor, Yosi Mass, Alon Halfon et al.
Learning the Reward Function for a Misspecified Model
Erik Talvitie