Papers
Learning Video Object Segmentation With Visual Memory
Pavel Tokmakov, Karteek Alahari, Cordelia Schmid
Learning View-Invariant Features for Person Identification in Temporally Synchronized Videos Taken by Wearable Cameras
Kang Zheng, Xiaochuan Fan, Yuewei Lin et al.
Learning Visual Attention to Identify People With Autism Spectrum Disorder
Ming Jiang, Qi Zhao
Learning Visual N-Grams From Web Data
Ang Li, Allan Jabri, Armand Joulin et al.
Learning Weakly Supervised Multimodal Phoneme Embeddings
Rahma Chaabouni, Ewan Dunbar, Neil Zeghidour et al.
Learning What is Essential in Questions
Daniel Khashabi, Tushar Khot, Ashish Sabharwal et al.
Learning What’s Easy: Fully Differentiable Neural Easy-First Taggers
André F. T. Martins, Julia Kreutzer
Learning what to read: Focused machine reading
Enrique Noriega-Atala, Marco A. Valenzuela-Escárcega, Clayton Morrison et al.
Learning with Average Top-k Loss
Yanbo Fan, Siwei Lyu, Yiming Ying et al.
Learning with Bandit Feedback in Potential Games
Amélie Heliou, Johanne Cohen, Panayotis Mertikopoulos
Learning with Feature Evolvable Streams
Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou
Learning with Feature Feedback: from Theory to Practice
Stefanos Poulis, Sanjoy Dasgupta
Learning with Limited Rounds of Adaptivity: Coin Tossing, Multi-Armed Bandits, and Ranking from Pairwise Comparisons
Arpit Agarwal, Shivani Agarwal, Sepehr Assadi et al.
Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix
Bingfeng Luo, Yansong Feng, Zheng Wang et al.
Learning with Previously Unseen Features
Yuan Shi, Craig A. Knoblock
Learning Word-Like Units from Joint Audio-Visual Analysis
David Harwath, James Glass
Learning Word Relatedness over Time
Guy D. Rosin, Eytan Adar, Kira Radinsky
Learning Word Representations with Regularization from Prior Knowledge
Yan Song, Chia-Jung Lee, Fei Xia
Learning Word Vector Representations Based on Acoustic Counts
M. Sam Ribeiro, Oliver Watts, Junichi Yamagishi
Least Squares Generative Adversarial Networks
Xudong Mao, Qing Li, Haoran Xie et al.
Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds
Mina Ashizawa, Hiroaki Sasaki, Tomoya Sakai et al.
Legal NERC with ontologies, Wikipedia and curriculum learning
Cristian Cardellino, Milagro Teruel, Laura Alonso Alemany et al.
Length, Interchangeability, and External Knowledge: Observations from Predicting Argument Convincingness
Peter Potash, Robin Bhattacharya, Anna Rumshisky
Lens Depth Function and k-Relative Neighborhood Graph: Versatile Tools for Ordinal Data Analysis
Matthäus Kleindessner, Ulrike von Luxburg
Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems
Clemens Eppner, Sebastian Höfer, Rico Jonschkowski et al.