conftrace_

Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks NIPS 2020
Characterizing emergent representations in a space of candidate learning rules for deep networks NIPS 2020
Debiased Contrastive Learning NIPS 2020
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction NIPS 2020
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data NIPS 2020
Neural Complexity Measures NIPS 2020
Approximate Cross-Validation with Low-Rank Data in High Dimensions NIPS 2020
GANSpace: Discovering Interpretable GAN Controls NIPS 2020
Continual Learning in Low-rank Orthogonal Subspaces NIPS 2020
What shapes feature representations? Exploring datasets, architectures, and training NIPS 2020
CoSE: Compositional Stroke Embeddings NIPS 2020
A Bayesian Perspective on Training Speed and Model Selection NIPS 2020
Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration NIPS 2020
SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm NIPS 2020
GAIT-prop: A biologically plausible learning rule derived from backpropagation of error NIPS 2020
LoCo: Local Contrastive Representation Learning NIPS 2020
RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist NIPS 2020
RD$^2$: Reward Decomposition with Representation Decomposition NIPS 2020
Compositional Generalization by Learning Analytical Expressions NIPS 2020
An implicit function learning approach for parametric modal regression NIPS 2020
Object-Centric Learning with Slot Attention NIPS 2020
Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning NIPS 2020
A polynomial-time algorithm for learning nonparametric causal graphs NIPS 2020
Sparse Learning with CART NIPS 2020
Proximal Mapping for Deep Regularization NIPS 2020