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Representation Learning

2843 directly classified papers

Papers per year

Papers

Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks ICML 2023
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search ICML 2023
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning ICML 2023
Rigid Body Flows for Sampling Molecular Crystal Structures ICML 2023
Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability ICML 2023
Bootstrapped Representations in Reinforcement Learning ICML 2023
Exploring Chemical Space with Score-based Out-of-distribution Generation ICML 2023
CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis ICML 2023
Towards In-Distribution Compatible Out-of-Distribution Detection AAAI 2023
Representation Learning by Detecting Incorrect Location Embeddings AAAI 2023
Learning Optimal Features via Partial Invariance AAAI 2023
On the Stability and Generalization of Triplet Learning AAAI 2023
Simulating Network Paths with Recurrent Buffering Units AAAI 2023
Contrastive Classification and Representation Learning with Probabilistic Interpretation AAAI 2023
Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling AAAI 2023
LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning AAAI 2023
Predicting Temporal Sets with Simplified Fully Connected Networks AAAI 2023
Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework AAAI 2023
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating AAAI 2023
Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning AAAI 2023
Eliminating the Impossible, Whatever Remains Must Be True: On Extracting and Applying Background Knowledge in the Context of Formal Explanations AAAI 2023
Can We Find Strong Lottery Tickets in Generative Models? AAAI 2023
Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning AAAI 2023
On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning ICML 2023
How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding ICML 2023