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Representation Learning

2843 directly classified papers

Papers per year

Papers

GraphMSE: Efficient Meta-path Selection in Semantically Aligned Feature Space for Graph Neural Networks AAAI 2021
Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units AAAI 2021
Semi-supervised Sequence Classification through Change Point Detection AAAI 2021
Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning AAAI 2021
Computationally Tractable Riemannian Manifolds for Graph Embeddings AAAI 2021
Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting AAAI 2021
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation AAAI 2021
A Theory of Independent Mechanisms for Extrapolation in Generative Models AAAI 2021
Differentiable Inductive Logic Programming for Structured Examples AAAI 2021
Learning by Fixing: Solving Math Word Problems with Weak Supervision AAAI 2021
Adversarial Directed Graph Embedding AAAI 2021
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks AAAI 2021
Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs AAAI 2021
Model-Agnostic Fits for Understanding Information Seeking Patterns in Humans AAAI 2021
Hierarchical Graph Convolution Network for Traffic Forecasting AAAI 2021
Large-Margin Contrastive Learning with Distance Polarization Regularizer ICML 2021
Modeling Hierarchical Structures with Continuous Recursive Neural Networks ICML 2021
Re-understanding Finite-State Representations of Recurrent Policy Networks ICML 2021
BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders ICML 2021
What’s in the Box? Exploring the Inner Life of Neural Networks with Robust Rules ICML 2021
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation ICML 2021
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions ICML 2021
Hierarchical VAEs Know What They Don’t Know ICML 2021
Learning Representations by Humans, for Humans ICML 2021
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization ICML 2021