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Representation Learning

18,863 papers

Papers per year

Papers

MatrixNet: Learning over symmetry groups using learned group representations NIPS 2024
Non-convolutional graph neural networks. NIPS 2024
Fine-grained Control of Generative Data Augmentation in IoT Sensing NIPS 2024
Graph-based Uncertainty Metrics for Long-form Language Model Generations NIPS 2024
Learning to compute Gröbner bases NIPS 2024
Neural Persistence Dynamics NIPS 2024
Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting NIPS 2024
Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention NIPS 2024
Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks NIPS 2024
Rethinking Score Distillation as a Bridge Between Image Distributions NIPS 2024
Spiking Graph Neural Network on Riemannian Manifolds NIPS 2024
Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses NIPS 2024
CoSy: Evaluating Textual Explanations of Neurons NIPS 2024
Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models NIPS 2024
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding NIPS 2024
Algebraic Positional Encodings NIPS 2024
Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts NIPS 2024
Localize, Understand, Collaborate: Semantic-Aware Dragging via Intention Reasoner NIPS 2024
FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning NIPS 2024
ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention NIPS 2024
Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient NIPS 2024
A Phase Transition between Positional and Semantic Learning in a Solvable Model of Dot-Product Attention NIPS 2024
On the Ability of Developers' Training Data Preservation of Learnware NIPS 2024
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction NIPS 2024
$\nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials NIPS 2024