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11/29/2021
A General Framework for Defending Against Backdoor Attacks via Influence Graph
In this work, we propose a new and general framework to defend against b...
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11/15/2021
Triggerless Backdoor Attack for NLP Tasks with Clean Labels
Backdoor attacks pose a new threat to NLP models. A standard strategy to...
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10/06/2021
BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models
Pre-trained Natural Language Processing (NLP) models can be easily adapt...
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09/07/2021
Paraphrase Generation as Unsupervised Machine Translation
In this paper, we propose a new paradigm for paraphrase generation by tr...
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09/01/2021
ConRPG: Paraphrase Generation using Contexts as Regularizer
A long-standing issue with paraphrase generation is how to obtain reliab...
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08/29/2021
kFolden: k-Fold Ensemble for Out-Of-Distribution Detection
Out-of-Distribution (OOD) detection is an important problem in natural l...
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08/28/2021
Layer-wise Model Pruning based on Mutual Information
The proposed pruning strategy offers merits over weight-based pruning te...
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06/03/2021
Defending against Backdoor Attacks in Natural Language Generation
The frustratingly fragile nature of neural network models make current n...
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05/30/2021
Parameter Estimation for the SEIR Model Using Recurrent Nets
The standard way to estimate the parameters Θ_SEIR (e.g., the transmissi...
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05/17/2021
Dependency Parsing as MRC-based Span-Span Prediction
Higher-order methods for dependency parsing can partially but not fully ...
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05/17/2021
Sentence Similarity Based on Contexts
Existing methods to measure sentence similarity are faced with two chall...
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12/03/2020
Self-Explaining Structures Improve NLP Models
Existing approaches to explaining deep learning models in NLP usually su...
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11/17/2020
Neural Semi-supervised Learning for Text Classification Under Large-Scale Pretraining
The goal of semi-supervised learning is to utilize the unlabeled, in-dom...
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10/14/2020
