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Representation Learning

18,863 papers

Papers per year

Papers

Learning Discrete Concepts in Latent Hierarchical Models NIPS 2024
Polyhedral Complex Derivation from Piecewise Trilinear Networks NIPS 2024
Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis NIPS 2024
Beyond task diversity: provable representation transfer for sequential multitask linear bandits NIPS 2024
GC-Bench: An Open and Unified Benchmark for Graph Condensation NIPS 2024
RanDumb: Random Representations Outperform Online Continually Learned Representations NIPS 2024
Learning Action and Reasoning-Centric Image Editing from Videos and Simulation NIPS 2024
A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models NIPS 2024
Simplifying Latent Dynamics with Softly State-Invariant World Models NIPS 2024
Generalized Protein Pocket Generation with Prior-Informed Flow Matching NIPS 2024
Gated Inference Network: Inference and Learning State-Space Models NIPS 2024
Sample Complexity of Interventional Causal Representation Learning NIPS 2024
Harnessing small projectors and multiple views for efficient vision pretraining NIPS 2024
Bridge-IF: Learning Inverse Protein Folding with Markov Bridges NIPS 2024
On Differentially Private Subspace Estimation in a Distribution-Free Setting NIPS 2024
DenoiseRep: Denoising Model for Representation Learning NIPS 2024
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models NIPS 2024
Learning predictable and robust neural representations by straightening image sequences NIPS 2024
LLM Circuit Analyses Are Consistent Across Training and Scale NIPS 2024
Improved Sample Complexity Bounds for Diffusion Model Training NIPS 2024
Graphcode: Learning from multiparameter persistent homology using graph neural networks NIPS 2024
TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models NIPS 2024
WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata NIPS 2024
MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models NIPS 2024
Learning Transferable Features for Implicit Neural Representations NIPS 2024