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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
What Matters in Graph Class Incremental Learning? An Information Preservation Perspective
NIPS 2024
Credit Attribution and Stable Compression
NIPS 2024
Feedback control guides credit assignment in recurrent neural networks
NIPS 2024
Geometric Trajectory Diffusion Models
NIPS 2024
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation
AISTATS 2024
DAG-Aware Variational Autoencoder for Social Propagation Graph Generation
AAAI 2024
SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning
NIPS 2024
Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure
NIPS 2024
Audio Mamba: Selective State Spaces for Self-Supervised Audio Representations
INTERSPEECH 2024
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
AAAI 2024
Contextrast: Contextual Contrastive Learning for Semantic Segmentation
CVPR 2024
Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision
AAAI 2024
User Embedding Model for Personalized Language Prompting
EACL 2024
DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning
AAAI 2024
A Computational Model for the Assessment of Mutual Intelligibility Among Closely Related Languages
EACL 2024
Assessing Generalization for Subpopulation Representative Modeling via In-Context Learning
EACL 2024
Incorporating Word Count Information into Depression Risk Summary Generation: INF@UoS CLPsych 2024 Submission
EACL 2024
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data
AAAI 2024
Using Daily Language to Understand Drinking: Multi-Level Longitudinal Differential Language Analysis
EACL 2024
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
CVPR 2024
Check Locate Rectify: A Training-Free Layout Calibration System for Text-to-Image Generation
CVPR 2024
SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes
AAAI 2024
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning
CVPR 2024
A Joint Noise Disentanglement and Adversarial Training Framework for Robust Speaker Verification
INTERSPEECH 2024
Learned Lossless Image Compression based on Bit Plane Slicing
CVPR 2024
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