Papers
Learning Multi-Class Segmentations From Single-Class Datasets
Konstantin Dmitriev, Arie E. Kaufman
Learning Multi-Level Hierarchies with Hindsight
Andrew Levy, George Konidaris, Robert Platt et al.
Learning Multilingual Meta-Embeddings for Code-Switching Named Entity Recognition
Genta Indra Winata, Zhaojiang Lin, Pascale Fung
Learning Multilingual Word Embeddings Using Image-Text Data
Karan Singhal, Karthik Raman, Balder ten Cate
Learning Multimodal Graph-to-Graph Translation for Molecule Optimization
Wengong Jin, Kevin Yang, Regina Barzilay et al.
Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking
Nirandika Wanigasekara, Yuxuan Liang, Siong Thye Goh et al.
Learning Multiple Maps from Conditional Ordinal Triplets
Dung D. Le, Hady W. Lauw
Learning Multiple Markov Chains via Adaptive Allocation
Mohammad Sadegh Talebi, Odalric-Ambrym Maillard
Learning Multi-Task Communication with Message Passing for Sequence Learning
Pengfei Liu, Jie Fu, Yue Dong et al.
Learning Natural Language Interfaces with Neural Models
Mirella Lapata
Learning Natural Programs from a Few Examples in Real-Time
Nagarajan Natarajan, Danny Simmons, Naren Datha et al.
Learning Navigation Subroutines from Egocentric Videos
Ashish Kumar, Saurabh Gupta, Jitendra Malik
Learning Nearest Neighbor Graphs from Noisy Distance Samples
Blake Mason, Ardhendu Tripathy, Robert Nowak
Learning Network Embedding with Community Structural Information
Yu Li, Ying Wang, Tingting Zhang et al.
Learning Neural Bag-of-Matrix-Summarization with Riemannian Network
Hong Liu, Jie Li, Yongjian Wu et al.
Learning Neural Networks with Adaptive Regularization
Han Zhao, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov et al.
Learning Neural Networks with Two Nonlinear Layers in Polynomial Time
Surbhi Goel, Adam R. Klivans
Learning Neural PDE Solvers with Convergence Guarantees
Jun-Ting Hsieh, Shengjia Zhao, Stephan Eismann et al.
Learning Neurosymbolic Generative Models via Program Synthesis
Halley Young, Osbert Bastani, Mayur Naik
Learning New Tricks From Old Dogs: Multi-Source Transfer Learning From Pre-Trained Networks
Joshua Lee, Prasanna Sattigeri, Gregory Wornell
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model
Erik Nijkamp, Mitch Hill, Song-Chun Zhu et al.
Learning nonlinear level sets for dimensionality reduction in function approximation
Guannan Zhang, Jiaxin Zhang, Jacob Hinkle
Learning Nonsymmetric Determinantal Point Processes
Mike Gartrell, Victor-Emmanuel Brunel, Elvis Dohmatob et al.
Learning Non-Uniform Hypergraph for Multi-Object Tracking
Longyin Wen, Dawei Du, Shengkun Li et al.
Learning Non-Volumetric Depth Fusion Using Successive Reprojections
Simon Donne, Andreas Geiger