conftrace_

Representation Learning

20,822 papers

Papers per year

2
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101
309
2011
2283
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Papers

Hiding Data Helps: On the Benefits of Masking for Sparse Coding ICML 2023
Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data ICML 2023
GREAD: Graph Neural Reaction-Diffusion Networks ICML 2023
Is Overfitting Necessary for Implicit Video Representation? ICML 2023
Taming graph kernels with random features ICML 2023
Few-Sample Feature Selection via Feature Manifold Learning ICML 2023
Spatial Implicit Neural Representations for Global-Scale Species Mapping ICML 2023
Learning to Maximize Mutual Information for Dynamic Feature Selection ICML 2023
Rethinking Weak Supervision in Helping Contrastive Learning ICML 2023
A General Representation Learning Framework with Generalization Performance Guarantees ICML 2023
Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps ICML 2023
Image generation with shortest path diffusion ICML 2023
The Persistent Laplacian for Data Science: Evaluating Higher-Order Persistent Spectral Representations of Data ICML 2023
Continuous Spatiotemporal Transformer ICML 2023
Hyperbolic Image-text Representations ICML 2023
Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA ICML 2023
Improving Graph Generation by Restricting Graph Bandwidth ICML 2023
On the Convergence Rate of Gaussianization with Random Rotations ICML 2023
Multi-task Representation Learning for Pure Exploration in Linear Bandits ICML 2023
On Uni-Modal Feature Learning in Supervised Multi-Modal Learning ICML 2023
Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process ICML 2023
Are Equivariant Equilibrium Approximators Beneficial? ICML 2023
Adaptive Whitening in Neural Populations with Gain-modulating Interneurons ICML 2023
Neural Diffusion Processes ICML 2023
Graph Positional Encoding via Random Feature Propagation ICML 2023