conftrace_

Deep Learning

78,198 papers (26 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Learning Types (32,670) Architectures (30,950) Models (20,488) Techniques (9,432) Optimization & Theory (7,804) Application Areas (273)

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

'15

'20

'25

Papers (including subtopics)

Compositional Generative Inverse Design ICLR 2024 Compositional Image Decomposition with Diffusion Models ICML 2024 Compositional Inversion for Stable Diffusion Models AAAI 2024 Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond NeurIPS 2024 Compositional Text-to-Image Generation with Dense Blob Representations ICML 2024 Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Models AAAI 2024 Compositional Video Understanding with Spatiotemporal Structure-based Transformers CVPR 2024 Compound Text-Guided Prompt Tuning via Image-Adaptive Cues AAAI 2024 Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector ECCV 2024 Comprehensive View Embedding Learning for Single-Cell Multimodal Integration AAAI 2024 Comprehensive Visual Grounding for Video Description AAAI 2024 Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach ICML 2024 Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis CVPR 2024 Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold AAAI 2024 Compressing Large Language Models using Low Rank and Low Precision Decomposition NeurIPS 2024 Compressing Latent Space via Least Volume ICLR 2024 Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth ICML 2024 Computational Analysis of Dehumanization of Ukrainians on Russian Social Media EACL 2024 Computational Expressivity of Neural Language Models ACL 2024 Computational Meme Understanding: A Survey EMNLP 2024 ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning AAAI 2024 Concealing Sensitive Samples against Gradient Leakage in Federated Learning AAAI 2024 Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models NeurIPS 2024 Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models ECCV 2024 Concept-aware Data Construction Improves In-context Learning of Language Models ACL 2024