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06/20/2023
Open-Domain Text Evaluation via Meta Distribution Modeling
Recent advances in open-domain text generation models powered by large p...
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06/20/2023
On Compositionality and Improved Training of NADO
NeurAlly-Decomposed Oracle (NADO) is a powerful approach for controllabl...
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05/27/2022
Controllable Text Generation with Neurally-Decomposed Oracle
We propose a general and efficient framework to control auto-regressive ...
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05/18/2021
Reinforcement Learning for Adaptive Video Compressive Sensing
We apply reinforcement learning to video compressive sensing to adapt th...
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02/12/2021
On Efficient Training, Controllability and Compositional Generalization of Insertion-based Language Generators
Auto-regressive language models with the left-to-right generation order ...
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09/30/2020
Computing Systems for Autonomous Driving: State-of-the-Art and Challenges
The recent proliferation of computing technologies, e.g., sensors, compu...
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06/17/2019
Neurally-Guided Structure Inference
Most structure inference methods either rely on exhaustive search or are...
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06/05/2019
OpenEI: An Open Framework for Edge Intelligence
In the last five years, edge computing has attracted tremendous attentio...
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04/11/2018
CoT: Cooperative Training for Generative Modeling
We propose Cooperative Training (CoT) for training generative models tha...
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03/15/2018
Neural Text Generation: Past, Present and Beyond
This paper presents a systematic survey on recent development of neural ...
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02/06/2018
Texygen: A Benchmarking Platform for Text Generation Models
We introduce Texygen, a benchmarking platform to support research on ope...
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09/24/2017