conftrace_

Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Improving Gradient Flow with Unrolled Highway Expectation Maximization AAAI 2021
Implicit Kernel Attention AAAI 2021
Learning Dynamics Models with Stable Invariant Sets AAAI 2021
*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task AAAI 2021
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks AAAI 2021
Gated Linear Networks AAAI 2021
Multi-View Information-Bottleneck Representation Learning AAAI 2021
Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path AAAI 2021
Contrastive Transformation for Self-supervised Correspondence Learning AAAI 2021
Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases AAAI 2021
Fractal Autoencoders for Feature Selection AAAI 2021
Neural Architecture Search as Sparse Supernet AAAI 2021
Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science AAAI 2021
Multi-Task Recurrent Modular Networks AAAI 2021
Towards Generalized Implementation of Wasserstein Distance in GANs AAAI 2021
Hierarchical Graph Capsule Network AAAI 2021
SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning AAAI 2021
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images AAAI 2021
Image-to-Image Retrieval by Learning Similarity between Scene Graphs AAAI 2021
Learning Interpretable Models for Coupled Networks Under Domain Constraints AAAI 2021
Identity-aware Graph Neural Networks AAAI 2021
Deep Wasserstein Graph Discriminant Learning for Graph Classification AAAI 2021
Treatment Effect Estimation with Disentangled Latent Factors AAAI 2021
Partial-Label and Structure-constrained Deep Coupled Factorization Network AAAI 2021
Looking Wider for Better Adaptive Representation in Few-Shot Learning AAAI 2021