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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
SuperPrimitive: Scene Reconstruction at a Primitive Level
CVPR 2024
Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis
CVPR 2024
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data
AAAI 2024
Controller-Guided Partial Label Consistency Regularization with Unlabeled Data
AAAI 2024
On the Faithfulness of Vision Transformer Explanations
CVPR 2024
L2B: Learning to Bootstrap Robust Models for Combating Label Noise
CVPR 2024
Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning
AAAI 2024
PredToken: Predicting Unknown Tokens and Beyond with Coarse-to-Fine Iterative Decoding
CVPR 2024
MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning
CVPR 2024
Convolutional Channel-Wise Competitive Learning for the Forward-Forward Algorithm
AAAI 2024
Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension
CVPR 2024
Learning Equi-angular Representations for Online Continual Learning
CVPR 2024
DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets
CVPR 2024
A Grassmannian Manifold Self-Attention Network for Signal Classification
IJCAI 2024
HAGO-Net: Hierarchical Geometric Message Passing for Molecular Representation Learning
AAAI 2024
SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes
AAAI 2024
Credit Attribution and Stable Compression
NIPS 2024
What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights
NIPS 2024
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention
AAAI 2024
TriSampler: A Better Negative Sampling Principle for Dense Retrieval
AAAI 2024
Adaptive Hardness Negative Sampling for Collaborative Filtering
AAAI 2024
Learning Multi-Dimensional Human Preference for Text-to-Image Generation
CVPR 2024
Structural Entropy Based Graph Structure Learning for Node Classification
AAAI 2024
Contextrast: Contextual Contrastive Learning for Semantic Segmentation
CVPR 2024
DAG-Aware Variational Autoencoder for Social Propagation Graph Generation
AAAI 2024
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