Papers
3,399 papers found
DH-FBK at SemEval-2022 Task 4: Leveraging Annotators’ Disagreement and Multiple Data Views for Patronizing Language Detection
Alan Ramponi, Elisa Leonardelli
DH-FBK at SemEval-2022 Task 4: Leveraging Annotators’ Disagreement and Multiple Data Views for Patronizing Language Detection
Alan Ramponi, Elisa Leonardelli
Combining causal and similarity-based reasoning
Charles Kemp, Patrick Shafto, Allison Berke et al.
In-Network PCA and Anomaly Detection
Ling Huang, Xuanlong Nguyen, Minos Garofalakis et al.
Dynamic Foreground/Background Extraction from Images and Videos using Random Patches
Le Lu, Gregory D. Hager
Optimal Change-Detection and Spiking Neurons
Angela J. Yu
A recipe for optimizing a time-histogram
Hideaki Shimazaki, Shigeru Shinomoto
Clustering appearance and shape by learning jigsaws
Anitha Kannan, John Winn, Carsten Rother
Denoising and Dimension Reduction in Feature Space
Mikio L. Braun, Klaus-Robert Müller, Joachim M. Buhmann
Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing
Yuanhao Chen, Long Zhu, Chenxi Lin et al.
One-Pass Boosting
Zafer Barutcuoglu, Phil Long, Rocco Servedio
Learning and using relational theories
Charles Kemp, Noah Goodman, Joshua B. Tenenbaum
Gaussian Process Models for Link Analysis and Transfer Learning
Kai Yu, Wei Chu
Privacy-Preserving Belief Propagation and Sampling
Michael Kearns, Jinsong Tan, Jennifer Wortman
Robust Regression and Lasso
Huan Xu, Constantine Caramanis, Shie Mannor
Recursive Segmentation and Recognition Templates for 2D Parsing
Leo Zhu, Yuanhao Chen, Yuan Lin et al.
Clusters and Coarse Partitions in LP Relaxations
David Sontag, Amir Globerson, Tommi S. Jaakkola
Load and Attentional Bayes
Peter Dayan
Online Metric Learning and Fast Similarity Search
Prateek Jain, Brian Kulis, Inderjit S. Dhillon et al.
Model selection and velocity estimation using novel priors for motion patterns
Shuang Wu, Hongjing Lu, Alan L. Yuille
On Stochastic and Worst-case Models for Investing
Elad Hazan, Satyen Kale
A Parameter-free Hedging Algorithm
Kamalika Chaudhuri, Yoav Freund, Daniel J. Hsu
Ranking Measures and Loss Functions in Learning to Rank
Wei Chen, Tie-yan Liu, Yanyan Lan et al.
Exponential Family Graph Matching and Ranking
James Petterson, Jin Yu, Julian J. Mcauley et al.
Abstraction and Relational learning
Charles Kemp, Alan Jern