Search Results for author:
Found 8 papers, 6 papers with code
ThoughtSource: A central hub for large language model reasoning data
Large language models (LLMs) such as GPT-4 have recently demonstrated impressive results across a wide range of tasks.
Variational Open-Domain Question Answering
Retrieval-augmented models have proven to be effective in natural language processing tasks, yet there remains a lack of research on their optimization using variational inference.
Ranked #4 on
Multiple Choice Question Answering (MCQA)
on MedMCQA
Can large language models reason about medical questions?
Although large language models (LLMs) often produce impressive outputs, it remains unclear how they perform in real-world scenarios requiring strong reasoning skills and expert domain knowledge.
Ranked #5 on
Question Answering
on PubMedQA
Multiple-choice
Multiple Choice Question Answering (MCQA)
+3
Image Super-Resolution With Deep Variational Autoencoders
Image super-resolution (SR) techniques are used to generate a high-resolution image from a low-resolution image.
Optimal Variance Control of the Score-Function Gradient Estimator for Importance-Weighted Bounds
Empirically, for the training of both continuous and discrete generative models, the proposed method yields superior variance reduction, resulting in an SNR for IWAE that increases with $K$ without relying on the reparameterization trick.
Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds
This paper introduces novel results for the score function gradient estimator of the importance weighted variational bound (IWAE).
Towards Hierarchical Discrete Variational Autoencoders
We introduce the Hierarchical Discrete Variational Autoencoder (HD-VAE): a hi- erarchy of variational memory layers.
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling
In this paper we close the performance gap by constructing VAE models that can effectively utilize a deep hierarchy of stochastic variables and model complex covariance structures.
Ranked #18 on
Image Generation
on ImageNet 32x32
(bpd metric)
