conftrace_

Core Methods

48,729 papers (8 classified directly here)

Subtopics

Representation Learning (20,822) Classification (15,805) Regression (5,004) Embedding Learning (3,753) Clustering (3,638) Metric Learning (2,854) Graph Neural Networks (1,141) Graphical Models (985) Feature Learning (860) Dimensionality Reduction (707) Kernel Methods (642) Interpretability (499) Feature Selection (479) Matrix Factorization (383) Ranking (283) Ensemble Methods (267) Anomaly Detection (267) Support Vector Machine (254) Sequence Modeling (237) Structured Prediction (205) Sequence Labeling (166) Topic Modeling (123) Sparse Coding (107) Matrix Completion (103) Retrieval (99) Neural Networks (79) Inference (21) Model Selection (19) Decision Tree (16) Prediction (15) Density Estimation (9) Estimation (8) Feature Extraction (7) Information Extraction (7)

Papers per year

4
48
348
949
4892
4576
'00
'05
'10
'15
'20
'25

Papers (including subtopics)

Local Perturb-and-MAP for Structured Prediction AISTATS 2017
Tensor Decompositions via Two-Mode Higher-Order SVD (HOSVD) AISTATS 2017
Beta calibration: a well-founded and easily implemented improvement on logistic calibration for binary classifiers AISTATS 2017
Minimax Approach to Variable Fidelity Data Interpolation AISTATS 2017
Data Driven Resource Allocation for Distributed Learning AISTATS 2017
Dynamic Collaborative Filtering With Compound Poisson Factorization AISTATS 2017
Rank Aggregation and Prediction with Item Features AISTATS 2017
Robust and Efficient Computation of Eigenvectors in a Generalized Spectral Method for Constrained Clustering AISTATS 2017
Regression Uncertainty on the Grassmannian AISTATS 2017
Attributing Hacks AISTATS 2017
A Stochastic Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization AISTATS 2017
CPSG-MCMC: Clustering-Based Preprocessing method for Stochastic Gradient MCMC AISTATS 2017
Comparison-Based Nearest Neighbor Search AISTATS 2017
Minimax-optimal semi-supervised regression on unknown manifolds AISTATS 2017
Improved Strongly Adaptive Online Learning using Coin Betting AISTATS 2017
Fairness Constraints: Mechanisms for Fair Classification AISTATS 2017
Frequency Domain Predictive Modelling with Aggregated Data AISTATS 2017
Complementary Sum Sampling for Likelihood Approximation in Large Scale Classification AISTATS 2017
Sequential Graph Matching with Sequential Monte Carlo AISTATS 2017
Generalization Error of Invariant Classifiers AISTATS 2017
Identifying Groups of Strongly Correlated Variables through Smoothed Ordered Weighted $L_1$-norms AISTATS 2017
Belief Propagation in Conditional RBMs for Structured Prediction AISTATS 2017
A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models AISTATS 2017
Communication-efficient Distributed Sparse Linear Discriminant Analysis AISTATS 2017
Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage AISTATS 2017