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Methodology
← Learning Types
Machine Learning
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Representation Learning
2843 directly classified papers
Papers per year
2002: 1
2005: 2
2006: 5
2007: 11
2008: 12
2009: 10
2010: 6
2011: 6
2012: 30
2013: 36
2014: 34
2015: 20
2016: 42
2017: 82
2018: 128
2019: 189
2020: 266
2021: 279
2022: 382
2023: 358
2024: 451
2025: 486
2026: 7
Papers
Sustaining Fairness via Incremental Learning
AAAI 2023
PrimeNet: Pre-training for Irregular Multivariate Time Series
AAAI 2023
Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning
AAAI 2023
Towards Generalizable Reinforcement Learning for Trade Execution
IJCAI 2023
The Benefits of Mixup for Feature Learning
ICML 2023
Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation
ICML 2023
Patch-level Contrastive Learning via Positional Query for Visual Pre-training
ICML 2023
The Wisdom of Hindsight Makes Language Models Better Instruction Followers
ICML 2023
Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling
ICML 2023
When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations
ICML 2023
CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models
ICML 2023
DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on Non-gaussian Space
AAAI 2023
Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness
AAAI 2023
An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning
ICML 2023
Continual Learners are Incremental Model Generalizers
ICML 2023
Temporal Knowledge Graph Reasoning with Historical Contrastive Learning
AAAI 2023
Temporal Label Smoothing for Early Event Prediction
ICML 2023
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks
ICML 2023
Knowledge Graph Embedding by Normalizing Flows
AAAI 2023
A Provable Framework of Learning Graph Embeddings via Summarization
AAAI 2023
Optimizing Mode Connectivity for Class Incremental Learning
ICML 2023
Reachability-Aware Laplacian Representation in Reinforcement Learning
ICML 2023
Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning
AAAI 2023
Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation
ICML 2023
RGE: A Repulsive Graph Rectification for Node Classification via Influence
ICML 2023
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