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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)

Simple induction of (deterministic) probabilistic finite-state automata for phonotactics by stochastic gradient descent ACL 2021
Visually Grounded Follow-up Questions: a Dataset of Spatial Questions Which Require Dialogue History ACL 2021
Let’s be explicit about that: Distant supervision for implicit discourse relation classification via connective prediction ACL 2021
Evaluation Guidelines to Deal with Implicit Phenomena to Assess Factuality in Data-to-Text Generation ACL 2021
Itihasa: A large-scale corpus for Sanskrit to English translation ACL 2021
HateBERT: Retraining BERT for Abusive Language Detection in English ACL 2021
CTAB-GAN: Effective Table Data Synthesizing ACML 2021
Pedestrian Wind Factor Estimation in Complex Urban Environments ACML 2021
Improving Gaussian mixture latent variable model convergence with Optimal Transport ACML 2021
DAGSurv: Directed Ayclic Graph Based Survival Analysis Using Deep Neural Networks ACML 2021
Cross-structural Factor-topic Model: Document Analysis with Sophisticated Covariates ACML 2021
Multi-stream based marked point process ACML 2021
Exposing Cyber-Physical System Weaknesses by Implicitly Learning their Underlying Models ACML 2021
Unsupervised Cycle-Consistent Network for Removing Susceptibility Artifacts in Single-shot EPI ACML 2021
Geometrically Enriched Latent Spaces AISTATS 2021
Automatic structured variational inference AISTATS 2021
Improving predictions of Bayesian neural nets via local linearization AISTATS 2021
On the Privacy Properties of GAN-generated Samples AISTATS 2021
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks AISTATS 2021
DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation AISTATS 2021
Moment-Based Variational Inference for Stochastic Differential Equations AISTATS 2021
A Variational Inference Approach to Learning Multivariate Wold Processes AISTATS 2021
RankDistil: Knowledge Distillation for Ranking AISTATS 2021
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data AISTATS 2021
Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference AISTATS 2021