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 Reliability of Psychological Scales on Large Language Models
EMNLP 2024
On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning
ACL 2024
On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving
CVPR 2024
On the Robustness of Large Multimodal Models Against Image Adversarial Attacks
CVPR 2024
On the Role of Attention Masks and LayerNorm in Transformers
NeurIPS 2024
On the Role of Discrete Tokenization in Visual Representation Learning
ICLR 2024
On the Role of Edge Dependency in Graph Generative Models
ICML 2024
On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models
ACL 2024
On the Role of Server Momentum in Federated Learning
AAAI 2024
On the Sample Complexity of Two-Layer Networks: Lipschitz Vs. Element-Wise Lipschitz Activation
ALT 2024
On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks
ICLR 2024
On the Scalability of Diffusion-based Text-to-Image Generation
CVPR 2024
On the Scalability of GNNs for Molecular Graphs
NeurIPS 2024
On the Semantic Latent Space of Diffusion-Based Text-To-Speech Models
ACL 2024
On the Similarity of Circuits across Languages: a Case Study on the Subject-verb Agreement Task
EMNLP 2024
On the Sparsity of the Strong Lottery Ticket Hypothesis
NeurIPS 2024
On the Stability of Expressive Positional Encodings for Graphs
ICLR 2024
On the Stability of Iterative Retraining of Generative Models on their own Data
ICLR 2024
On the Success and Limitations of Auxiliary Network Based Word-Level End-to-End Neural Speaker Diarization
Interspeech 2024
On the Surprising Effectiveness of Attention Transfer for Vision Transformers
NeurIPS 2024
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks
AISTATS 2024
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers
AISTATS 2024
On the token distance modeling ability of higher RoPE attention dimension
EMNLP 2024
On the Topology Awareness and Generalization Performance of Graph Neural Networks
ECCV 2024
On the Trajectory Regularity of ODE-based Diffusion Sampling
ICML 2024