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

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Papers (including subtopics)

Beyond Parity: Fairness Objectives for Collaborative Filtering NIPS 2017
Multitask Spectral Learning of Weighted Automata NIPS 2017
A simple neural network module for relational reasoning NIPS 2017
Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks NIPS 2017
Consistent Robust Regression NIPS 2017
Hierarchical Clustering Beyond the Worst-Case NIPS 2017
Deep Supervised Discrete Hashing NIPS 2017
Approximation Algorithms for $\ell_0$-Low Rank Approximation NIPS 2017
A Learning Error Analysis for Structured Prediction with Approximate Inference NIPS 2017
Simple strategies for recovering inner products from coarsely quantized random projections NIPS 2017
Trimmed Density Ratio Estimation NIPS 2017
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting NIPS 2017
Tensor Biclustering NIPS 2017
Estimating Mutual Information for Discrete-Continuous Mixtures NIPS 2017
An inner-loop free solution to inverse problems using deep neural networks NIPS 2017
Hash Embeddings for Efficient Word Representations NIPS 2017
Learning Low-Dimensional Metrics NIPS 2017
Unsupervised Sequence Classification using Sequential Output Statistics NIPS 2017
Deep Sets NIPS 2017
Optimal Shrinkage of Singular Values Under Random Data Contamination NIPS 2017
Learning Mixture of Gaussians with Streaming Data NIPS 2017
Unbounded cache model for online language modeling with open vocabulary NIPS 2017
On the Consistency of Quick Shift NIPS 2017
Wasserstein Learning of Deep Generative Point Process Models NIPS 2017
Protein Interface Prediction using Graph Convolutional Networks NIPS 2017