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06/06/2023
Large Language Models of Code Fail at Completing Code with Potential Bugs
Large language models of code (Code-LLMs) have recently brought tremendo...
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09/24/2021
Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient Conversations
Fine-tuning pretrained models for automatically summarizing doctor-patie...
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09/07/2021
COCO Denoiser: Using Co-Coercivity for Variance Reduction in Stochastic Convex Optimization
First-order methods for stochastic optimization have undeniable relevanc...
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10/10/2020
An Empirical Investigation of Beam-Aware Training in Supertagging
Structured prediction is often approached by training a locally normaliz...
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12/27/2019
Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization
The majority of current object detectors lack context: class predictions...
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09/30/2019
Towards modular and programmable architecture search
Neural architecture search methods are able to find high performance dee...
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11/01/2018
Learning Beam Search Policies via Imitation Learning
Beam search is widely used for approximate decoding in structured predic...
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04/28/2017
DeepArchitect: Automatically Designing and Training Deep Architectures
In deep learning, performance is strongly affected by the choice of arch...
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02/14/2017
