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Representation Learning

20,822 papers

Papers per year

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101
309
2011
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Papers

Inducing Neural Collapse in Deep Long-tailed Learning AISTATS 2023
Encoding Domain Knowledge in Multi-view Latent Variable Models: A Bayesian Approach with Structured Sparsity AISTATS 2023
Probing Graph Representations AISTATS 2023
Perceptronic Complexity and Online Matrix Completion ALT 2023
Implicit Regularization Towards Rank Minimization in ReLU Networks ALT 2023
Dictionary Learning for the Almost-Linear Sparsity Regime ALT 2023
Directed Graphical Models and Causal Discovery for Zero-Inflated Data CLEAR 2023
On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition CLEAR 2023
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning CLEAR 2023
Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling CLEAR 2023
Improved Bounds for Multi-task Learning with Trace Norm Regularization COLT 2023
InfoNCE Loss Provably Learns Cluster-Preserving Representations COLT 2023
Learning Hidden Markov Models Using Conditional Samples COLT 2023
Provable Benefits of Representational Transfer in Reinforcement Learning COLT 2023
Precise Asymptotic Analysis of Deep Random Feature Models COLT 2023
Sparse PCA Beyond Covariance Thresholding COLT 2023
Kernelized Diffusion Maps COLT 2023
Learning Narrow One-Hidden-Layer ReLU Networks COLT 2023
The Zipfian Challenge: Learning the statistical fingerprint of natural languages CONLL 2023
Revising with a Backward Glance: Regressions and Skips during Reading as Cognitive Signals for Revision Policies in Incremental Processing CONLL 2023
The Impact of Familiarity on Naming Variation: A Study on Object Naming in Mandarin Chinese CONLL 2023
Alignment via Mutual Information CONLL 2023
Strategies to Improve Low-Resource Agglutinative Languages Morphological Inflection CONLL 2023
Future Lens: Anticipating Subsequent Tokens from a Single Hidden State CONLL 2023
Frame Flexible Network CVPR 2023