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)
Latent Relation Language Models
AAAI 2020
Latent Variable Modelling with Hyperbolic Normalizing Flows
ICML 2020
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior
AAAI 2020
Laughter Synthesis: Combining Seq2seq Modeling with Transfer Learning
Interspeech 2020
“LazImpa”: Lazy and Impatient neural agents learn to communicate efficiently
CoNLL 2020
Learn a Global Appearance Semi-Supervisedly for Synthesizing Person Images
WACV 2020
Learned Image Compression With Discretized Gaussian Mixture Likelihoods and Attention Modules
CVPR 2020
Learned Video Compression via Joint Spatial-Temporal Correlation Exploration
AAAI 2020
Learning a Neural 3D Texture Space From 2D Exemplars
CVPR 2020
Learning an Unreferenced Metric for Online Dialogue Evaluation
ACL 2020
Learning Architectures from an Extended Search Space for Language Modeling
ACL 2020
Learning Better Lossless Compression Using Lossy Compression
CVPR 2020
Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation
CVPR 2020
Learning Cross-Aligned Latent Embeddings for Zero-Shot Cross-Modal Retrieval
AAAI 2020
Learning disconnected manifolds: a no GAN’s land
ICML 2020
Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration
NeurIPS 2020
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions
AAAI 2020
Learning Formation of Physically-Based Face Attributes
CVPR 2020
Learning from Irregularly-Sampled Time Series: A Missing Data Perspective
ICML 2020
Learning Generative Models of Shape Handles
CVPR 2020
Learning Health-Bots from Training Data that was Automatically Created using Paraphrase Detection and Expert Knowledge
COLING 2020
Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE
NeurIPS 2020
Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment
CVPR 2020
Learning Implicit Text Generation via Feature Matching
ACL 2020
Learning Interpretable Representations with Informative Entanglements
IJCAI 2020