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Models

16,617 papers (23 classified directly here)

Subtopics

Generative Models (7,221) Diffusion Models (4,421) Large Language Models (2,733) Variational Inference (1,952) Language Models (732) Vision-Language Models (718) Foundation Models (278) Language Modeling (77) Sequence-to-Sequence (16) Variational Autoencoders (10) Neural Radiance Fields (9) Variational Autoencoder (8)

Papers per year

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Papers (including subtopics)

Unsupervised Domain Clusters in Pretrained Language Models ACL 2020
Variational Neural Machine Translation with Normalizing Flows ACL 2020
Empower Entity Set Expansion via Language Model Probing ACL 2020
Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting ACL 2020
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data ACL 2020
SCAR: Sentence Compression using Autoencoders for Reconstruction ACL 2020
Visual Question Generation from Radiology Images ACL 2020
End-to-End Speech Translation with Adversarial Training ACL 2020
CIMA: A Large Open Access Dialogue Dataset for Tutoring ACL 2020
A Comparative Study of Synthetic Data Generation Methods for Grammatical Error Correction ACL 2020
AI Sensing for Robotics using Deep Learning based Visual and Language Modeling ACL 2020
Language Models as Fact Checkers? ACL 2020
Context-Driven Satirical News Generation ACL 2020
Semi-supervised Parsing with a Variational Autoencoding Parser ACL 2020
Sketch-Fill-A-R: A Persona-Grounded Chit-Chat Generation Framework ACL 2020
Learning Probabilistic Sentence Representations from Paraphrases ACL 2020
CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow ACML 2020
Disentangled Representations for Sequence Data using Information Bottleneck Principle ACML 2020
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation AISTATS 2020
Interpretable Deep Gaussian Processes with Moments AISTATS 2020
Neural Topic Model with Attention for Supervised Learning AISTATS 2020
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations AISTATS 2020
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning AISTATS 2020
A Topology Layer for Machine Learning AISTATS 2020
GP-VAE: Deep Probabilistic Time Series Imputation AISTATS 2020