conftrace_
← Core Methods
Machine Learning › Core Methods ›

Representation Learning

18,863 papers

Papers per year

Papers

Evaluating alignment between humans and neural network representations in image-based learning tasks NIPS 2024
Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond NIPS 2024
Metric Space Magnitude for Evaluating the Diversity of Latent Representations NIPS 2024
Rethinking the Capacity of Graph Neural Networks for Branching Strategy NIPS 2024
Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing NIPS 2024
Crafting Interpretable Embeddings for Language Neuroscience by Asking LLMs Questions NIPS 2024
ACFun: Abstract-Concrete Fusion Facial Stylization NIPS 2024
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees NIPS 2024
Neural Pfaffians: Solving Many Many-Electron Schrödinger Equations NIPS 2024
Reconstruct and Match: Out-of-Distribution Robustness via Topological Homogeneity NIPS 2024
IPO: Interpretable Prompt Optimization for Vision-Language Models NIPS 2024
State Space Models on Temporal Graphs: A First-Principles Study NIPS 2024
Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer NIPS 2024
Theoretical Foundations of Deep Selective State-Space Models NIPS 2024
Learning Group Actions on Latent Representations NIPS 2024
NeuralSteiner: Learning Steiner Tree for Overflow-avoiding Global Routing in Chip Design NIPS 2024
Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures NIPS 2024
MoMu-Diffusion: On Learning Long-Term Motion-Music Synchronization and Correspondence NIPS 2024
Symmetric Linear Bandits with Hidden Symmetry NIPS 2024
Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention NIPS 2024
An Image is Worth 32 Tokens for Reconstruction and Generation NIPS 2024
Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios NIPS 2024
Average gradient outer product as a mechanism for deep neural collapse NIPS 2024
CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts NIPS 2024
Inference of Neural Dynamics Using Switching Recurrent Neural Networks NIPS 2024