Representation Learning
22,308 papers
Papers per year
2
4
3
18
4
9
65
67
82
78
102
104
142
299
274
310
458
748
1,177
1,845
2,058
2,310
2,425
2,953
3,130
2,996
645
2000
'5
'10
'15
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'25
Papers
On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis
NeurIPS 2023
On The Convergence Of Policy Iteration-Based Reinforcement Learning With Monte Carlo Policy Evaluation
AISTATS 2023
On the Convergence Rate of Gaussianization with Random Rotations
ICML 2023
On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning.
ICLR 2023
On-the-Fly Category Discovery
CVPR 2023
On the Functional Similarity of Robust and Non-Robust Neural Representations
ICML 2023
On the Generalization of Multi-modal Contrastive Learning
ICML 2023
On the Identifiability and Estimation of Causal Location-Scale Noise Models
ICML 2023
On the Identifiability and Interpretability of Gaussian Process Models
NeurIPS 2023
On the Identifiability of Sparse ICA without Assuming Non-Gaussianity
NeurIPS 2023
On the Importance of Exploration for Generalization in Reinforcement Learning
NeurIPS 2023
On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning
ICML 2023
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error
NeurIPS 2023
On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations
ICLR 2023
On the informativeness of supervision signals
UAI 2023
On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure
JMLR 2023
On the Power of SVD in the Stochastic Block Model
NeurIPS 2023
On the Robustness of Normalizing Flows for Inverse Problems in Imaging
ICCV 2023
On the Role of Attention in Prompt-tuning
ICML 2023
On the Sample Complexity of Representation Learning in Multi-Task Bandits with Global and Local Structure
AAAI 2023
On The Specialization of Neural Modules
ICLR 2023
On the Stability and Generalization of Triplet Learning
AAAI 2023
On the Stability-Plasticity Dilemma of Class-Incremental Learning
CVPR 2023
On the Stepwise Nature of Self-Supervised Learning
ICML 2023
On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity
JMLR 2023