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 Content Bias in Frechet Video Distance
CVPR 2024
On the Convergence of an Adaptive Momentum Method for Adversarial Attacks
AAAI 2024
On the Convergence of Hierarchical Federated Learning with Partial Worker Participation
UAI 2024
On the Diminishing Returns of Width for Continual Learning
ICML 2024
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
CVPR 2024
On the Duality Between Sharpness-Aware Minimization and Adversarial Training
ICML 2024
On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning
ICML 2024
On the Effect of Batch Size in Byzantine-Robust Distributed Learning
ICLR 2024
On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks
JMLR 2024
On the Effect of (Near) Duplicate Subwords in Language Modelling
ACL 2024
On the Effects of Data Scale on UI Control Agents
NeurIPS 2024
On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm
ICML 2024
On the Empirical Complexity of Reasoning and Planning in LLMs
EMNLP 2024
On the Encoding of Gender in Transformer-based ASR Representations
Interspeech 2024
On the Evaluation of Speech Foundation Models for Spoken Language Understanding
ACL 2024
On the Expressive Power of Spectral Invariant Graph Neural Networks
ICML 2024
On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks
NeurIPS 2024
On the Expressivity of Recurrent Neural Cascades
AAAI 2024
On the Faithfulness of Vision Transformer Explanations
CVPR 2024
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
WACV 2024
On the Foundations of Shortcut Learning
ICLR 2024
On the Generalization Ability of Unsupervised Pretraining
AISTATS 2024
On the Generalization and Approximation Capacities of Neural Controlled Differential Equations
ICLR 2024
On the Generalization of Equivariant Graph Neural Networks
ICML 2024
On the hardness of learning under symmetries
ICLR 2024