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08/19/2023
Robust Mixture-of-Expert Training for Convolutional Neural Networks
Sparsely-gated Mixture of Expert (MoE), an emerging deep model architect...
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04/12/2023
Improving Diffusion Models for Scene Text Editing with Dual Encoders
Scene text editing is a challenging task that involves modifying or inse...
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03/09/2023
Users are the North Star for AI Transparency
Despite widespread calls for transparent artificial intelligence systems...
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11/21/2022
CLAWSAT: Towards Both Robust and Accurate Code Models
We integrate contrastive learning (CL) with adversarial learning to co-o...
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10/16/2022
Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices
In this paper, we propose a data-model-hardware tri-design framework for...
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06/15/2022
Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning
Class-incremental learning (CIL) suffers from the notorious dilemma betw...
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06/15/2022
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness
Certifiable robustness is a highly desirable property for adopting deep ...
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05/24/2022
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free
Trojan attacks threaten deep neural networks (DNNs) by poisoning them to...
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04/15/2022
Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection
Lifelong event detection aims to incrementally update a model with new e...
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03/27/2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
The lack of adversarial robustness has been recognized as an important i...
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03/12/2022
Optimizer Amalgamation
Selecting an appropriate optimizer for a given problem is of major inter...
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12/23/2021
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization
Adversarial training (AT) has become a widely recognized defense mechani...
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10/26/2021
Understanding Interlocking Dynamics of Cooperative Rationalization
Selective rationalization explains the prediction of complex neural netw...
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10/14/2021
Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding
Event extraction is typically modeled as a multi-class classification pr...
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10/04/2021
On the Interplay Between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis
Are end-to-end text-to-speech (TTS) models over-parametrized? To what ex...
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06/16/2021
Global Rhythm Style Transfer Without Text Transcriptions
Prosody plays an important role in characterizing the style of a speaker...
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06/15/2021
Learning Stable Classifiers by Transferring Unstable Features
We study transfer learning in the presence of spurious correlations. We ...
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06/10/2021
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition
Recent work on speech self-supervised learning (speech SSL) demonstrated...
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05/26/2021
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers
We propose Predict then Interpolate (PI), a simple algorithm for learnin...
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03/22/2021
Complementary Evidence Identification in Open-Domain Question Answering
This paper proposes a new problem of complementary evidence identificati...
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03/18/2021
Generating Adversarial Computer Programs using Optimized Obfuscations
Machine learning (ML) models that learn and predict properties of comput...
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02/14/2021
TransGAN: Two Transformers Can Make One Strong GAN
The recent explosive interest on transformers has suggested their potent...
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12/22/2020
Self-Progressing Robust Training
Enhancing model robustness under new and even adversarial environments i...
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12/12/2020
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models
The computer vision world has been re-gaining enthusiasm in various pre-...
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10/18/2020
Training Stronger Baselines for Learning to Optimize
Learning to optimize (L2O) has gained increasing attention since classic...
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10/05/2020
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning
Interactive Fiction (IF) games with real human-written natural language ...
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09/02/2020
Lifelong Object Detection
Recent advances in object detection have benefited significantly from ra...
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07/23/2020
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
In natural language processing (NLP), enormous pre-trained models like B...
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06/26/2020
Proper Network Interpretability Helps Adversarial Robustness in Classification
Recent works have empirically shown that there exist adversarial example...
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06/25/2020
Can 3D Adversarial Logos Cloak Humans?
With the trend of adversarial attacks, researchers attempt to fool train...
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04/23/2020
Unsupervised Speech Decomposition via Triple Information Bottleneck
Speech information can be roughly decomposed into four components: langu...
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04/06/2020
Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games
We propose the new problem of learning to recover reasoning chains from ...
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03/28/2020
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
Pretrained models from self-supervision are prevalently used in fine-tun...
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03/22/2020
Invariant Rationalization
Selective rationalization improves neural network interpretability by id...
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10/29/2019
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control
Selective rationalization has become a common mechanism to ensure that p...
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10/28/2019
A Game Theoretic Approach to Class-wise Selective Rationalization
Selection of input features such as relevant pieces of text has become a...
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10/01/2019
An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack
There are two major paradigms of white-box adversarial attacks that atte...
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09/17/2019
Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering
A key challenge of multi-hop question answering (QA) in the open-domain ...
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08/16/2019
Few-shot Text Classification with Distributional Signatures
In this paper, we explore meta-learning for few-shot text classification...
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08/13/2019
Meta Reasoning over Knowledge Graphs
The ability to reason over learned knowledge is an innate ability for hu...
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08/11/2019
AutoGAN: Neural Architecture Search for Generative Adversarial Networks
Neural architecture search (NAS) has witnessed prevailing success in ima...
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07/14/2019
TWEETQA: A Social Media Focused Question Answering Dataset
With social media becoming increasingly pop-ular on which lots of news a...
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06/12/2019
A Stratified Approach to Robustness for Randomly Smoothed Classifiers
Strong theoretical guarantees of robustness can be given for ensembles o...
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06/11/2019
Self-Supervised Learning for Contextualized Extractive Summarization
Existing models for extractive summarization are usually trained from sc...
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06/11/2019
Coupled Variational Recurrent Collaborative Filtering
We focus on the problem of streaming recommender system and explore nove...
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05/17/2019
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader
We propose a new end-to-end question answering model, which learns to ag...
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05/16/2019
Additive Adversarial Learning for Unbiased Authentication
Authentication is a task aiming to confirm the truth between data instan...
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05/15/2019
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets
Natural Language Sentence Matching (NLSM) has gained substantial attenti...
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05/14/2019
Zero-Shot Voice Style Transfer with Only Autoencoder Loss
Non-parallel many-to-many voice conversion, as well as zero-shot voice c...
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05/14/2019
