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07/05/2023
Exploring Continual Learning for Code Generation Models
Large-scale code generation models such as Codex and CodeT5 have achieve...
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10/03/2022
ContraGen: Effective Contrastive Learning For Causal Language Model
Despite exciting progress in large-scale language generation, the expres...
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10/16/2021
Virtual Augmentation Supported Contrastive Learning of Sentence Representations
Despite profound successes, contrastive representation learning relies o...
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10/16/2021
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora
Pretrained language models (PTLMs) are typically learned over a large, s...
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10/16/2021
Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey
Pretrained Language Models (PLM) have established a new paradigm through...
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09/12/2021
Pairwise Supervised Contrastive Learning of Sentence Representations
Many recent successes in sentence representation learning have been achi...
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05/10/2021
Improving Factual Consistency of Abstractive Summarization via Question Answering
A commonly observed problem with the state-of-the art abstractive summar...
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03/24/2021
Supporting Clustering with Contrastive Learning
Unsupervised clustering aims at discovering the semantic categories of d...
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02/18/2021
Entity-level Factual Consistency of Abstractive Text Summarization
A key challenge for abstractive summarization is ensuring factual consis...
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11/26/2020
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction
In open-domain question answering, questions are highly likely to be amb...
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12/21/2017
Deep Unsupervised Clustering Using Mixture of Autoencoders
Unsupervised clustering is one of the most fundamental challenges in mac...
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09/14/2017
Subspace Clustering using Ensembles of K-Subspaces
We present a novel approach to the subspace clustering problem that leve...
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10/01/2016
Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation From Undersampled Data
Subspace learning and matrix factorization problems have a great many ap...
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06/24/2015
Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation
It has been observed in a variety of contexts that gradient descent meth...
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06/03/2013