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Representation Learning

18,863 papers

Papers per year

Papers

Markov Equivalence and Consistency in Differentiable Structure Learning NIPS 2024
Extending Multi-modal Contrastive Representations NIPS 2024
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification NIPS 2024
Intrinsic Self-Supervision for Data Quality Audits NIPS 2024
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning NIPS 2024
Infinite-Dimensional Feature Interaction NIPS 2024
Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving NIPS 2024
Improved Regret of Linear Ensemble Sampling NIPS 2024
BEACON: Benchmark for Comprehensive RNA Tasks and Language Models NIPS 2024
Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention NIPS 2024
Dynamic Conditional Optimal Transport through Simulation-Free Flows NIPS 2024
Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers NIPS 2024
Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization NIPS 2024
NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation NIPS 2024
Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks NIPS 2024
Learning from Highly Sparse Spatio-temporal Data NIPS 2024
Multi-Head Mixture-of-Experts NIPS 2024
Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed NIPS 2024
Nonstationary Sparse Spectral Permanental Process NIPS 2024
On the Use of Anchoring for Training Vision Models NIPS 2024
Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization NIPS 2024
Shape analysis for time series NIPS 2024
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy NIPS 2024
Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks NIPS 2024
FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing NIPS 2024