Applications
3,265 papers (28 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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18
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23
29
26
39
49
65
56
52
80
122
172
269
311
275
277
314
454
545
68
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Papers (including subtopics)
Scalable Normalized Cut with Improved Spectral Rotation
IJCAI 2017
Self-weighted Multiview Clustering with Multiple Graphs
IJCAI 2017
Signal-based Bayesian Seismic Monitoring
AISTATS 2017
Sociophonetic Realizations Guide Subsequent Lexical Access
Interspeech 2017
Soft-DTW: a Differentiable Loss Function for Time-Series
ICML 2017
Sparse Embedded k-Means Clustering
NeurIPS 2017
Spectral Clustering Based on Local PCA
JMLR 2017
SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation
IJCAI 2017
Stability of Prosodic Characteristics Across Age and Gender Groups
Interspeech 2017
Subspace Clustering via Tangent Cones
NeurIPS 2017
Tandem Anchoring: a Multiword Anchor Approach for Interactive Topic Modeling
ACL 2017
The Content Types Dataset: a New Resource to Explore Semantic and Functional Characteristics of Texts
EACL 2017
The Impact of Random Models on Clustering Similarity
JMLR 2017
The Importance of Communities for Learning to Influence
NeurIPS 2017
The Language of Place: Semantic Value from Geospatial Context
EACL 2017
The Sample Complexity of Online One-Class Collaborative Filtering
ICML 2017
Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation
NeurIPS 2017
Tomography of the London Underground: a Scalable Model for Origin-Destination Data
NeurIPS 2017
Topic-Based Agreement and Disagreement in US Electoral Manifestos
EMNLP 2017
Towards a Quality Metric for Dense Light Fields
CVPR 2017
Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process
IJCAI 2017
Two-Sample Tests for Large Random Graphs Using Network Statistics
COLT 2017
Understanding Users' Budgets for Recommendation with Hierarchical Poisson Factorization
IJCAI 2017
Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques
JMLR 2017
Using Deep Neural Networks to Automate Large Scale Statistical Analysis for Big Data Applications
ACML 2017