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Representation Learning

4,925 papers

Papers per year

7
51
606
487
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Papers

Generating Correct Answers for Progressive Matrices Intelligence Tests NIPS 2020
Hierarchical nucleation in deep neural networks NIPS 2020
Learning Certified Individually Fair Representations NIPS 2020
Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification NIPS 2020
Deep Statistical Solvers NIPS 2020
Deep Transformation-Invariant Clustering NIPS 2020
Subgraph Neural Networks NIPS 2020
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search NIPS 2020
Multi-label Contrastive Predictive Coding NIPS 2020
Learning Invariants through Soft Unification NIPS 2020
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation NIPS 2020
Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples NIPS 2020
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems NIPS 2020
Learning Deformable Tetrahedral Meshes for 3D Reconstruction NIPS 2020
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning NIPS 2020
Biological credit assignment through dynamic inversion of feedforward networks NIPS 2020
MetaSDF: Meta-Learning Signed Distance Functions NIPS 2020
Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control NIPS 2020
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity NIPS 2020
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations NIPS 2020
Incorporating Interpretable Output Constraints in Bayesian Neural Networks NIPS 2020
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA NIPS 2020
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning NIPS 2020
Linear Disentangled Representations and Unsupervised Action Estimation NIPS 2020
Instance-wise Feature Grouping NIPS 2020