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Representation Learning

18,863 papers

Papers per year

Papers

Compositional Generalization Across Distributional Shifts with Sparse Tree Operations NIPS 2024
Symmetry Discovery Beyond Affine Transformations NIPS 2024
Unsupervised Discovery of Formulas for Mathematical Constants NIPS 2024
Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning NIPS 2024
High Rank Path Development: an approach to learning the filtration of stochastic processes NIPS 2024
Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering NIPS 2024
The Selective $G$-Bispectrum and its Inversion: Applications to $G$-Invariant Networks NIPS 2024
Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures NIPS 2024
A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts NIPS 2024
A teacher-teacher framework for clinical language representation learning NIPS 2024
Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning NIPS 2024
A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models NIPS 2024
Nuclear Norm Regularization for Deep Learning NIPS 2024
Understanding the Transferability of Representations via Task-Relatedness NIPS 2024
OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation NIPS 2024
Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network NIPS 2024
Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization NIPS 2024
Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuse NIPS 2024
Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning NIPS 2024
Optimal Transport-based Labor-free Text Prompt Modeling for Sketch Re-identification NIPS 2024
Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment NIPS 2024
Learning diverse causally emergent representations from time series data NIPS 2024
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning NIPS 2024
MeLLoC: Lossless Compression with High-order Mechanism Learning NIPS 2024
Learning Identifiable Factorized Causal Representations of Cellular Responses NIPS 2024