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08/07/2022
Generating Negative Samples for Sequential Recommendation
To make Sequential Recommendation (SR) successful, recent works focus on...
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05/18/2022
Modeling Multi-hop Question Answering as Single Sequence Prediction
Fusion-in-decoder (Fid) (Izacard and Grave, 2020) is a generative questi...
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11/20/2021
Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution
The distribution gap between training datasets and data encountered in p...
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10/24/2020
Unsupervised Paraphrase Generation via Dynamic Blocking
We propose Dynamic Blocking, a decoding algorithm which enables large-sc...
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09/14/2020
GeDi: Generative Discriminator Guided Sequence Generation
Class-conditional language models (CC-LMs) can be used to generate natur...
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07/29/2020
Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm
Neural text decoding is important for generating high-quality texts usin...
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02/09/2020
Limits of Detecting Text Generated by Large-Scale Language Models
Some consider large-scale language models that can generate long and coh...
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10/22/2019
Global Capacity Measures for Deep ReLU Networks via Path Sampling
Classical results on the statistical complexity of linear models have co...
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09/11/2019
CTRL: A Conditional Transformer Language Model for Controllable Generation
Large-scale language models show promising text generation capabilities,...
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09/07/2019
Pretrained AI Models: Performativity, Mobility, and Change
The paradigm of pretrained deep learning models has recently emerged in ...
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08/23/2019
Neural Text Summarization: A Critical Evaluation
Text summarization aims at compressing long documents into a shorter for...
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05/27/2019
XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering
While natural language processing systems often focus on a single langua...
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04/19/2019
Unifying Question Answering and Text Classification via Span Extraction
Even as pre-trained language encoders such as BERT are shared across man...
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01/03/2019
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering
End-to-end neural models have made significant progress in question answ...
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10/29/2018
A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation
The convergence rate and final performance of common deep learning model...
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09/19/2018
Identifying Generalization Properties in Neural Networks
While it has not yet been proven, empirical evidence suggests that model...
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06/20/2018
The Natural Language Decathlon: Multitask Learning as Question Answering
Deep learning has improved performance on many natural language processi...
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06/18/2018
Using Mode Connectivity for Loss Landscape Analysis
Mode connectivity is a recently introduced frame- work that empirically ...
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03/22/2018
An Analysis of Neural Language Modeling at Multiple Scales
Many of the leading approaches in language modeling introduce novel, com...
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12/20/2017
Improving Generalization Performance by Switching from Adam to SGD
Despite superior training outcomes, adaptive optimization methods such a...
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11/06/2017
Weighted Transformer Network for Machine Translation
State-of-the-art results on neural machine translation often use attenti...
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08/07/2017
Regularizing and Optimizing LSTM Language Models
Recurrent neural networks (RNNs), such as long short-term memory network...
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11/04/2015