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
'5
'10
'15
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Papers (including subtopics)
Automatically Generated Summaries of Video Lectures May Enhance Students’ Learning Experience
ACL 2023
Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger
NeurIPS 2023
Automatic Evaluation of Generative Models with Instruction Tuning
EMNLP 2023
Automatic Reflection Generation for Peer-to-Peer Counseling
EMNLP 2023
AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution
AAAI 2023
Autoregressive Conditional Neural Processes
ICLR 2023
Autoregressive Diffusion Model for Graph Generation
ICML 2023
A VAE for Transformers with Nonparametric Variational Information Bottleneck
ICLR 2023
AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control
ICCV 2023
Avatars Grow Legs: Generating Smooth Human Motion From Sparse Tracking Inputs With Diffusion Model
CVPR 2023
A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous Speech
AAAI 2023
Backpack Language Models
ACL 2023
Balanced Spherical Grid for Egocentric View Synthesis
CVPR 2023
Balanced Training for Sparse GANs
NeurIPS 2023
Balaur: Language Model Pretraining with Lexical Semantic Relations
EMNLP 2023
Battle of the Large Language Models: Dolly vs LLaMA vs Vicuna vs Guanaco vs Bard vs ChatGPT - A Text-to-SQL Parsing Comparison
EMNLP 2023
Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts
ICML 2023
Bayesian Posterior Approximation With Stochastic Ensembles
CVPR 2023
BAYES RISK CTC: CONTROLLABLE CTC ALIGNMENT IN SEQUENCE-TO-SEQUENCE TASKS
ICLR 2023
BBDM: Image-to-Image Translation With Brownian Bridge Diffusion Models
CVPR 2023
BCDiff: Bidirectional Consistent Diffusion for Instantaneous Trajectory Prediction
NeurIPS 2023
BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis
EMNLP 2023
BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset
NeurIPS 2023
BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction
ICCV 2023
Be More Active! Understanding the Differences Between Mean and Sampled Representations of Variational Autoencoders
JMLR 2023