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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)

UMUTeam and SINAI at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis using Multilingual Large Language Models and Data Augmentation SEMEVAL 2023
OPI PIB at SemEval-2023 Task 1: A CLIP-based Solution Paired with an Additional Word Context Extension SEMEVAL 2023
Sam Miller at SemEval-2023 Task 5: Classification and Type-specific Spoiler Extraction Using XLNET and Other Transformer Models SEMEVAL 2023
John-Arthur at SemEval-2023 Task 4: Fine-Tuning Large Language Models for Arguments Classification SEMEVAL 2023
RCLN at SemEval-2023 Task 1: Leveraging Stable Diffusion and Image Captions for Visual WSD SEMEVAL 2023
Guided Deep Kernel Learning UAI 2023
A decoder suffices for query-adaptive variational inference UAI 2023
Neural probabilistic logic programming in discrete-continuous domains UAI 2023
Deep Gaussian mixture ensembles UAI 2023
Time-Conditioned Generative Modeling of Object-Centric Representations for Video Decomposition and Prediction UAI 2023
Vacant holes for unsupervised detection of the outliers in compact latent representation UAI 2023
Piecewise Deterministic Markov Processes for Bayesian Neural Networks UAI 2023
A scalable Walsh-Hadamard regularizer to overcome the low-degree spectral bias of neural networks UAI 2023
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow UAI 2023
Differentiable user models UAI 2023
Massively parallel reweighted wake-sleep UAI 2023
Noisy adversarial representation learning for effective and efficient image obfuscation UAI 2023
Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution Shifting UAI 2023
Towards better certified segmentation via diffusion models UAI 2023
The Shrinkage-Delinkage Trade-off: an Analysis of Factorized Gaussian Approximations for Variational Inference UAI 2023
Adaptive Conditional Quantile Neural Processes UAI 2023
An improved variational approximate posterior for the deep Wishart process UAI 2023
Stochastic Generative Flow Networks UAI 2023
Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference UAI 2023
Mixture of Normalizing Flows for European Option Pricing UAI 2023