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Feature Learning

817 directly classified papers

Papers per year

Papers

Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing NIPS 2020
Explicit Regularisation in Gaussian Noise Injections NIPS 2020
Relational Learning for Joint Head and Human Detection AAAI 2020
Progressive Feature Polishing Network for Salient Object Detection AAAI 2020
Learning Deep Relations to Promote Saliency Detection AAAI 2020
FAS-Net: Construct Effective Features Adaptively for Multi-Scale Object Detection AAAI 2020
A Comparative Re-Assessment of Feature Extractors for Deep Speaker Embeddings INTERSPEECH 2020
Accuracy Booster: Performance Boosting using Feature Map Re-calibration WACV 2020
MODE-LSTM: A Parameter-efficient Recurrent Network with Multi-Scale for Sentence Classification EMNLP 2020
Learning of Discrete Graphical Models with Neural Networks NIPS 2020
Temporal Mental Health Dynamics on Social Media EMNLP 2020
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets AAAI 2020
Robust Meta-learning for Mixed Linear Regression with Small Batches NIPS 2020
Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization NIPS 2020
Ensembles of Locally Independent Prediction Models AAAI 2020
Field-wise Learning for Multi-field Categorical Data NIPS 2020
A Topology Layer for Machine Learning AISTATS 2020
Modular Block-diagonal Curvature Approximations for Feedforward Architectures AISTATS 2020
Data-Efficient Semi-Supervised Learning by Reliable Edge Mining CVPR 2020
A Linear-time Independence Criterion Based on a Finite Basis Approximation AISTATS 2020
GEV Beamforming Supported by DOA-Based Masks Generated on Pairs of Microphones INTERSPEECH 2020
Script Induction as Association Rule Mining ACL 2020
Label Enhancement with Sample Correlations via Low-Rank Representation AAAI 2020
PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames CVPR 2020
Affinity Graph Supervision for Visual Recognition CVPR 2020