Deep Learning
78,198 papers (26 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
2
5
1
2
47
50
53
51
87
90
125
229
234
453
859
1,652
3,233
5,368
6,434
7,726
8,506
9,951
12,524
14,487
6,029
'5
'10
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'25
Papers (including subtopics)
On the Hyperparameters in Stochastic Gradient Descent with Momentum
JMLR 2024
On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution
NeurIPS 2024
On the Impact of Calibration Data in Post-training Quantization and Pruning
ACL 2024
On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks
NeurIPS 2024
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training
JMLR 2024
On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions
AISTATS 2024
On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory
NeurIPS 2024
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods
AAAI 2024
On the Importance of Large Objects in CNN Based Object Detection Algorithms
WACV 2024
On the In-context Generation of Language Models
EMNLP 2024
On the Inductive Bias of Stacking Towards Improving Reasoning
NeurIPS 2024
On the Language Encoder of Contrastive Cross-modal Models
ACL 2024
On the Limitations of Fractal Dimension as a Measure of Generalization
NeurIPS 2024
On the Limitations of Temperature Scaling for Distributions with Overlaps
ICLR 2024
On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization
EMNLP 2024
On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods
ICLR 2024
On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions
ICML 2024
On the Nonlinearity of Layer Normalization
ICML 2024
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting
ICLR 2024
On the Posterior Distribution in Denoising: Application to Uncertainty Quantification
ICLR 2024
On the Power of Decision Trees in Auto-Regressive Language Modeling
NeurIPS 2024
On the Power of Small-size Graph Neural Networks for Linear Programming
NeurIPS 2024
On the Power of the Weisfeiler-Leman Test for Graph Motif Parameters
ICLR 2024
On the Proper Treatment of Tokenization in Psycholinguistics
EMNLP 2024
On the Quantification of Image Reconstruction Uncertainty Without Training Data
WACV 2024