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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
Controller-Guided Partial Label Consistency Regularization with Unlabeled Data
AAAI 2024
SURE: SUrvey REcipes for building reliable and robust deep networks
CVPR 2024
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning
CVPR 2024
Distribution Learning via Neural Differential Equations: A Nonparametric Statistical Perspective
JMLR 2024
An Entropy-Based Model for Hierarchical Learning
JMLR 2024
A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment
JMLR 2024
Sparse Representer Theorems for Learning in Reproducing Kernel Banach Spaces
JMLR 2024
One-Shot Structure-Aware Stylized Image Synthesis
CVPR 2024
Distribution-aware Knowledge Prototyping for Non-exemplar Lifelong Person Re-identification
CVPR 2024
RedCore: Relative Advantage Aware Cross-Modal Representation Learning for Missing Modalities with Imbalanced Missing Rates
AAAI 2024
Learning Representations for Robust Human-Robot Interaction
AAAI 2024
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
CVPR 2024
Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning
CVPR 2024
HAGO-Net: Hierarchical Geometric Message Passing for Molecular Representation Learning
AAAI 2024
Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering
AAAI 2024
Convolutional Channel-Wise Competitive Learning for the Forward-Forward Algorithm
AAAI 2024
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data
AAAI 2024
T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration
AAAI 2024
Subword Segmentation in LLMs: Looking at Inflection and Consistency
EMNLP 2024
SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes
AAAI 2024
Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning
AAAI 2024
Object Recognition as Next Token Prediction
CVPR 2024
Learned Lossless Image Compression based on Bit Plane Slicing
CVPR 2024
EarthLoc: Astronaut Photography Localization by Indexing Earth from Space
CVPR 2024
On conditional diffusion models for PDE simulations
NIPS 2024
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