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
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Papers (including subtopics)
Learning Dynamic Interpolation for Extremely Sparse Light Fields With Wide Baselines
ICCV 2021
Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling
ICLR 2021
Learning Energy-Based Models by Diffusion Recovery Likelihood
ICLR 2021
Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent
NeurIPS 2021
Learning Faithful Representations of Causal Graphs
ACL 2021
Learning Fast Converging, Effective Conditional Generative Adversarial Networks With a Mirrored Auxiliary Classifier
WACV 2021
Learning Flexibly Distributional Representation for Low-quality 3D Face Recognition
AAAI 2021
Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks
AAAI 2021
Learning from Nested Data with Ornstein Auto-Encoders
ICML 2021
Learning Generalized Intersection Over Union for Dense Pixelwise Prediction
ICML 2021
Learning Generative Models of Textured 3D Meshes From Real-World Images
ICCV 2021
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction
NeurIPS 2021
Learning Gradient Fields for Molecular Conformation Generation
ICML 2021
Learning High-Fidelity Face Texture Completion Without Complete Face Texture
ICCV 2021
Learning Intuitive Physics with Multimodal Generative Models
AAAI 2021
Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization
ICCV 2021
Learning Neural Generative Dynamics for Molecular Conformation Generation
ICLR 2021
Learning Opinion Summarizers by Selecting Informative Reviews
EMNLP 2021
Learning perturbation sets for robust machine learning
ICLR 2021
Learning Progressive Point Embeddings for 3D Point Cloud Generation
CVPR 2021
Learning proposals for probabilistic programs with inference combinators
UAI 2021
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization
ICML 2021
Learning Scalable lY=-Constrained Near-Lossless Image Compression via Joint Lossy Image and Residual Compression
CVPR 2021
Learning Signed Distance Field for Multi-View Surface Reconstruction
ICCV 2021
Learning Similarity between Movie Characters and Its Potential Implications on Understanding Human Experiences
NAACL 2021