Papers
176,624 papers found
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization
Xiangru Lian, Yijun Huang, Yuncheng Li et al.
Asynchronous stochastic convex optimization: the noise is in the noise and SGD don't care
Sorathan Chaturapruek, John C. Duchi, Christopher Ré
A Theoretical Analysis of Metric Hypothesis Transfer Learning
Michaël Perrot, Amaury Habrard
A Theory of Decision Making Under Dynamic Context
Michael Shvartsman, Vaibhav Srivastava, Jonathan D. Cohen
Atomic Spatial Processes
Sean Jewell, Neil Spencer, Alexandre Bouchard-Côté
A Topic Modeling Approach to Ranking
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
A totally unimodular view of structured sparsity
Marwa El Halabi, Volkan Cevher
A Tractable Approximation to Optimal Point Process Filtering: Application to Neural Encoding
Yuval Harel, Ron Meir, Manfred Opper
A trust-region method for stochastic variational inference with applications to streaming data
Lucas Theis, Matt Hoffman
Attention-Based Models for Speech Recognition
Jan K Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk et al.
AttentionNet: Aggregating Weak Directions for Accurate Object Detection
Donggeun Yoo, Sunggyun Park, Joon-Young Lee et al.
Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze–like Environments
Dane S Corneil, Wulfram Gerstner
Attributed Grammars for Joint Estimation of Human Attributes, Part and Pose
Seyoung Park, Song-Chun Zhu
Attribute Efficient Linear Regression with Distribution-Dependent Sampling
Doron Kukliansky, Ohad Shamir
Attribute-Graph: A Graph Based Approach to Image Ranking
Nikita Prabhu, R. Venkatesh Babu
Attributes and Categories for Generic Instance Search From One Example
Ran Tao, Arnold W.M. Smeulders, Shih-Fu Chang
Augmenting Strong Supervision Using Web Data for Fine-Grained Categorization
Zhe Xu, Shaoli Huang, Ya Zhang et al.
A Unified Framework for Jointly Learning Distributed Representations of Word and Attributes
Liqiang Niu, Xin-Yu Dai, Shujian Huang et al.
A Unified Framework for Outlier-Robust PCA-like Algorithms
Wenzhuo Yang, Huan Xu
A Unified Multiplicative Framework for Attribute Learning
Kongming Liang, Hong Chang, Shiguang Shan et al.
A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data
Trong Nghia Hoang, Quang Minh Hoang, Bryan Kian Hsiang Low
A Universal Catalyst for First-Order Optimization
Hongzhou Lin, Julien Mairal, Zaid Harchaoui
A Universal Primal-Dual Convex Optimization Framework
Alp Yurtsever, Quoc Tran Dinh, Volkan Cevher
Autoencoder Trees
Ozan İrsoy, Ethem Alpaydin
Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face
Jungseock Joo, Francis F. Steen, Song-Chun Zhu