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)

Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability Composability and Decomposability from Anatomy via Self Supervision CVPR 2024 Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design NeurIPS 2024 Repurformer: Transformers for Repurposing-Aware Molecule Generation ACL 2024 Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation CVPR 2024 Re-Reading Improves Reasoning in Large Language Models EMNLP 2024 Reschedule Diffusion-based Bokeh Rendering IJCAI 2024 ResDiff: Combining CNN and Diffusion Model for Image Super-resolution AAAI 2024 Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise NeurIPS 2024 Residual Denoising Diffusion Models CVPR 2024 Residual Learning in Diffusion Models CVPR 2024 Resilience of Large Language Models for Noisy Instructions EMNLP 2024 Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree ICML 2024 Resolution and Field of View Invariant Generative Modelling with Latent Diffusion Models MIDL 2024 Responding to the Call: Exploring Automatic Music Composition Using a Knowledge-Enhanced Model AAAI 2024 Restoration by Generation with Constrained Priors CVPR 2024 Retaining Key Information under High Compression Ratios: Query-Guided Compressor for LLMs ACL 2024 Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution CVPR 2024 Rethinking FID: Towards a Better Evaluation Metric for Image Generation CVPR 2024 Rethinking LLM Memorization through the Lens of Adversarial Compression NeurIPS 2024 Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models NeurIPS 2024 Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective NeurIPS 2024 Rethinking Peculiar Images by Diffusion Models: Revealing Local Minima’s Role AAAI 2024 Rethinking Score Distillation as a Bridge Between Image Distributions NeurIPS 2024 Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion ICML 2024 Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective NeurIPS 2024