research
∙
07/27/2023
f-Divergence Minimization for Sequence-Level Knowledge Distillation
Knowledge distillation (KD) is the process of transferring knowledge fro...
share
research
∙
05/22/2023
Tied-Augment: Controlling Representation Similarity Improves Data Augmentation
Data augmentation methods have played an important role in the recent ad...
research
∙
01/25/2023
On the Adversarial Robustness of Camera-based 3D Object Detection
In recent years, camera-based 3D object detection has gained widespread ...
research
∙
09/06/2022
Bag of Tricks for FGSM Adversarial Training
Adversarial training (AT) with samples generated by Fast Gradient Sign M...
research
∙
04/15/2022
Text Revision by On-the-Fly Representation Optimization
Text revision refers to a family of natural language generation tasks, w...
research
∙
04/06/2022
Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment
Most research on question answering focuses on the pre-deployment stage;...
research
∙
03/08/2022
Beam Search for Feature Selection
In this paper, we present and prove some consistency results about the p...
research
∙
09/22/2021
BFClass: A Backdoor-free Text Classification Framework
Backdoor attack introduces artificial vulnerabilities into the model by ...
research
∙
09/21/2021
Classification with Nearest Disjoint Centroids
In this paper, we develop a new classification method based on nearest c...
research
∙
10/15/2020
Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training
Our goal is to understand why the robustness drops after conducting adve...
research
∙
09/09/2020
Biclustering with Alternating K-Means
Biclustering is the task of simultaneously clustering the rows and colum...
research
∙
07/09/2020
Unsupervised Text Generation by Learning from Search
In this work, we present TGLS, a novel framework to unsupervised Text Ge...
research
∙
06/24/2019
Decomposable Neural Paraphrase Generation
Paraphrasing exists at different granularity levels, such as lexical lev...
research
∙
06/19/2019
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
We present the first sentence simplification model that learns explicit ...
research
∙
04/15/2019
Low-Power Computer Vision: Status, Challenges, Opportunities
Computer vision has achieved impressive progress in recent years. Meanwh...
research
∙
10/03/2018
2018 Low-Power Image Recognition Challenge
The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcompu...
research
∙
11/01/2017