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Representation Learning

18,863 papers

Papers per year

Papers

CoFie: Learning Compact Neural Surface Representations with Coordinate Fields NIPS 2024
Learning Versatile Skills with Curriculum Masking NIPS 2024
Amortized Planning with Large-Scale Transformers: A Case Study on Chess NIPS 2024
On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks NIPS 2024
Latent Functional Maps: a spectral framework for representation alignment NIPS 2024
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees NIPS 2024
Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth NIPS 2024
Federated Model Heterogeneous Matryoshka Representation Learning NIPS 2024
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting NIPS 2024
Learning Distributions on Manifolds with Free-Form Flows NIPS 2024
HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems NIPS 2024
Knowledge Composition using Task Vectors with Learned Anisotropic Scaling NIPS 2024
Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation NIPS 2024
Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers NIPS 2024
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping NIPS 2024
FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion NIPS 2024
iVideoGPT: Interactive VideoGPTs are Scalable World Models NIPS 2024
Improving Robustness of 3D Point Cloud Recognition from a Fourier Perspective NIPS 2024
What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks NIPS 2024
Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization NIPS 2024
P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics NIPS 2024
CALANet: Cheap All-Layer Aggregation for Human Activity Recognition NIPS 2024
Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor NIPS 2024
Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning NIPS 2024
Continual Learning with Global Alignment NIPS 2024