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)

Invariant Representations without Adversarial Training NIPS 2018
Large Margin Deep Networks for Classification NIPS 2018
Collaborative Learning for Deep Neural Networks NIPS 2018
Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch NIPS 2018
But How Does It Work in Theory? Linear SVM with Random Features NIPS 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data NIPS 2018
Toddler-Inspired Visual Object Learning NIPS 2018
Reducing Network Agnostophobia NIPS 2018
Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions NIPS 2018
Learning to Decompose and Disentangle Representations for Video Prediction NIPS 2018
Exploiting Numerical Sparsity for Efficient Learning : Faster Eigenvector Computation and Regression NIPS 2018
Learning Conditioned Graph Structures for Interpretable Visual Question Answering NIPS 2018
Explaining Deep Learning Models -- A Bayesian Non-parametric Approach NIPS 2018
Measures of distortion for machine learning NIPS 2018
Beyond Grids: Learning Graph Representations for Visual Recognition NIPS 2018
Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation NIPS 2018
Deep Poisson gamma dynamical systems NIPS 2018
Regularization Learning Networks: Deep Learning for Tabular Datasets NIPS 2018
Completing State Representations using Spectral Learning NIPS 2018
Generalizing Graph Matching beyond Quadratic Assignment Model NIPS 2018
Link Prediction Based on Graph Neural Networks NIPS 2018
Legendre Decomposition for Tensors NIPS 2018
Bilevel learning of the Group Lasso structure NIPS 2018
Optimal Subsampling with Influence Functions NIPS 2018
LinkNet: Relational Embedding for Scene Graph NIPS 2018