conftrace_

Models

20,488 papers (23 classified directly here)

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

Generative Models (8,597) Diffusion Models (6,478) Large Language Models (2,815) Variational Inference (2,186) Vision-Language Models (839) Language Models (763) Foundation Models (330) Language Modeling (92) Variational Autoencoders (67) Neural Radiance Fields (46) Sequence-to-Sequence (42) Variational Autoencoder (24)

Papers per year

2

1

2

10

11

10

13

21

25

32

42

29

68

99

237

538

946

1,088

1,362

1,486

2,589

4,304

5,567

2,006

'5

'10

'15

'20

'25

Papers (including subtopics)

DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models NeurIPS 2024 DiSR-NeRF: Diffusion-Guided View-Consistent Super-Resolution NeRF CVPR 2024 Disrupting Diffusion-based Inpainters with Semantic Digression IJCAI 2024 Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning EMNLP 2024 Distilling ODE Solvers of Diffusion Models into Smaller Steps CVPR 2024 Distilling Vision-Language Models on Millions of Videos CVPR 2024 DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features NeurIPS 2024 Distraction is All You Need: Memory-Efficient Image Immunization against Diffusion-Based Image Editing CVPR 2024 Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation EMNLP 2024 Distributional Inclusion Hypothesis and Quantifications: Probing for Hypernymy in Functional Distributional Semantics ACL 2024 Distributional Successor Features Enable Zero-Shot Policy Optimization NeurIPS 2024 Distribution-Aware Data Expansion with Diffusion Models NeurIPS 2024 Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation AAAI 2024 Distribution Learning with Valid Outputs Beyond the Worst-Case NeurIPS 2024 DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models CVPR 2024 DiTFastAttn: Attention Compression for Diffusion Transformer Models NeurIPS 2024 DITTO: Diffusion Inference-Time T-Optimization for Music Generation ICML 2024 DITTO: Dual and Integrated Latent Topologies for Implicit 3D Reconstruction CVPR 2024 DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data CVPR 2024 Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation AAAI 2024 Diverse and Stable 2D Diffusion Guided Text to 3D Generation with Noise Recalibration AAAI 2024 Diverse Person: Customize Your Own Dataset for Text-Based Person Search AAAI 2024 Diverse Yet Biased: Towards Mitigating Biases in Generative AI (Student Abstract) AAAI 2024 Diversified and Personalized Multi-rater Medical Image Segmentation CVPR 2024 Diversity-aware Channel Pruning for StyleGAN Compression CVPR 2024