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Representation Learning

18,863 papers

Papers per year

Papers

Identifying General Mechanism Shifts in Linear Causal Representations NIPS 2024
Accurate and Steady Inertial Pose Estimation through Sequence Structure Learning and Modulation NIPS 2024
Learning symmetries via weight-sharing with doubly stochastic tensors NIPS 2024
Revisiting the Integration of Convolution and Attention for Vision Backbone NIPS 2024
LinNet: Linear Network for Efficient Point Cloud Representation Learning NIPS 2024
Generating compositional scenes via Text-to-image RGBA Instance Generation NIPS 2024
When are dynamical systems learned from time series data statistically accurate? NIPS 2024
Diffusing Differentiable Representations NIPS 2024
Temporally Consistent Atmospheric Turbulence Mitigation with Neural Representations NIPS 2024
Acoustic Volume Rendering for Neural Impulse Response Fields NIPS 2024
Learning to Embed Distributions via Maximum Kernel Entropy NIPS 2024
Poisson Variational Autoencoder NIPS 2024
Transferable Boltzmann Generators NIPS 2024
Biologically Inspired Learning Model for Instructed Vision NIPS 2024
GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction NIPS 2024
A versatile informative diffusion model for single-cell ATAC-seq data generation and analysis NIPS 2024
Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM NIPS 2024
Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection NIPS 2024
MMSite: A Multi-modal Framework for the Identification of Active Sites in Proteins NIPS 2024
Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion NIPS 2024
FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions NIPS 2024
Learning to Understand: Identifying Interactions via the Möbius Transform NIPS 2024
How does Gradient Descent Learn Features --- A Local Analysis for Regularized Two-Layer Neural Networks NIPS 2024
RGFN: Synthesizable Molecular Generation Using GFlowNets NIPS 2024
Metric Transforms and Low Rank Representations of Kernels for Fast Attention NIPS 2024