Papers
How Do Humans Teach: On Curriculum Learning and Teaching Dimension
Faisal Khan, Bilge Mutlu, Xiaojin Zhu
ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning
Quoc V. Le, Alexandre Karpenko, Jiquan Ngiam et al.
Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis
Shuai Huang, Jing Li, Jieping Ye et al.
Im2Text: Describing Images Using 1 Million Captioned Photographs
Vicente Ordonez, Girish Kulkarni, Tamara L. Berg
Image Parsing with Stochastic Scene Grammar
Yibiao Zhao, Song-chun Zhu
Improved Algorithms for Linear Stochastic Bandits
Yasin Abbasi-yadkori, Dávid Pál, Csaba Szepesvári
Improving Topic Coherence with Regularized Topic Models
David Newman, Edwin V. Bonilla, Wray Buntine
Inductive reasoning about chimeric creatures
Charles Kemp
Inference in continuous-time change-point models
Florian Stimberg, Manfred Opper, Guido Sanguinetti et al.
Inferring Interaction Networks using the IBP applied to microRNA Target Prediction
Hai-son P. Le, Ziv Bar-joseph
Inferring spike-timing-dependent plasticity from spike train data
Ian Stevenson, Konrad Koerding
Infinite Latent SVM for Classification and Multi-task Learning
Jun Zhu, Ning Chen, Eric P. Xing
Information Rates and Optimal Decoding in Large Neural Populations
Kamiar R. Rad, Liam Paninski
Inverting Grice's Maxims to Learn Rules from Natural Language Extractions
Mohammad S. Sorower, Janardhan R. Doppa, Walker Orr et al.
Iterative Learning for Reliable Crowdsourcing Systems
David R. Karger, Sewoong Oh, Devavrat Shah
Joint 3D Estimation of Objects and Scene Layout
Andreas Geiger, Christian Wojek, Raquel Urtasun
Kernel Bayes' Rule
Kenji Fukumizu, Le Song, Arthur Gretton
Kernel Embeddings of Latent Tree Graphical Models
Le Song, Eric P. Xing, Ankur P. Parikh
k-NN Regression Adapts to Local Intrinsic Dimension
Samory Kpotufe
Large-Scale Category Structure Aware Image Categorization
Bin Zhao, Fei Li, Eric P. Xing
Large-Scale Sparse Principal Component Analysis with Application to Text Data
Youwei Zhang, Laurent E. Ghaoui
Learning a Distance Metric from a Network
Blake Shaw, Bert Huang, Tony Jebara
Learning Anchor Planes for Classification
Ziming Zhang, Lubor Ladicky, Philip Torr et al.
Learning a Tree of Metrics with Disjoint Visual Features
Kristen Grauman, Fei Sha, Sung Ju Hwang
Learning Auto-regressive Models from Sequence and Non-sequence Data
Tzu-kuo Huang, Jeff G. Schneider