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
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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
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Papers (including subtopics)
Diverse Video Generation using a Gaussian Process Trigger
ICLR 2021
Diversity and Consistency: Exploring Visual Question-Answer Pair Generation
EMNLP 2021
D-NeRF: Neural Radiance Fields for Dynamic Scenes
CVPR 2021
Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs
ICLR 2021
Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus
EMNLP 2021
Does Vision-and-Language Pretraining Improve Lexical Grounding?
EMNLP 2021
Doing Good or Doing Right? Exploring the Weakness of Commonsense Causal Reasoning Models
ACL 2021
Do Language Models Know the Way to Rome?
EMNLP 2021
Do Long-Range Language Models Actually Use Long-Range Context?
EMNLP 2021
Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference
IJCAI 2021
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark
NeurIPS 2021
Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence
NeurIPS 2021
Double Generative Adversarial Networks for Conditional Independence Testing
JMLR 2021
DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation
AISTATS 2021
DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer
ICCV 2021
Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-On and Outfit Editing
ICCV 2021
DriveGAN: Towards a Controllable High-Quality Neural Simulation
CVPR 2021
Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration
ICLR 2021
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
NeurIPS 2021
Dr-Vectors: Decision Residual Networks and an Improved Loss for Speaker Recognition
Interspeech 2021
Dual Contradistinctive Generative Autoencoder
CVPR 2021
Dual Contrastive Loss and Attention for GANs
ICCV 2021
Dual-GAN: Joint BVP and Noise Modeling for Remote Physiological Measurement
CVPR 2021
Dual Projection Generative Adversarial Networks for Conditional Image Generation
ICCV 2021
Dynamically Grown Generative Adversarial Networks
AAAI 2021