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06/05/2023
SamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models with Same Tower Negatives
Dual encoders have been used for retrieval tasks and representation lear...
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10/10/2022
Knowledge Prompts: Injecting World Knowledge into Language Models through Soft Prompts
Soft prompts have been recently proposed as a tool for adapting large fr...
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05/17/2022
SKILL: Structured Knowledge Infusion for Large Language Models
Large language models (LLMs) have demonstrated human-level performance o...
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04/14/2022
Exploring Dual Encoder Architectures for Question Answering
Dual encoders have been used for question-answering (QA) and information...
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06/15/2021
Coupled Gradient Estimators for Discrete Latent Variables
Training models with discrete latent variables is challenging due to the...
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06/18/2020
DisARM: An Antithetic Gradient Estimator for Binary Latent Variables
Training models with discrete latent variables is challenging due to the...
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10/21/2019
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems
We propose an efficient inference method for switching nonlinear dynamic...
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10/21/2019
On Predictive Information Sub-optimality of RNNs
Certain biological neurons demonstrate a remarkable capability to optima...
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05/20/2019
