research
∙
08/13/2023
Approximate and Weighted Data Reconstruction Attack in Federated Learning
Federated Learning (FL) is a distributed learning paradigm that enables ...
share
research
∙
07/22/2023
Psy-LLM: Scaling up Global Mental Health Psychological Services with AI-based Large Language Models
The demand for psychological counseling has grown significantly in recen...
research
∙
06/04/2023
Heteroskedastic Geospatial Tracking with Distributed Camera Networks
Visual object tracking has seen significant progress in recent years. Ho...
research
∙
05/22/2023
In-Context Learning of Large Language Models Explained as Kernel Regression
Large language models (LLMs) have initiated a paradigm shift in transfer...
research
∙
05/21/2023
Understanding the Effect of Data Augmentation on Knowledge Distillation
Knowledge distillation (KD) requires sufficient data to transfer knowled...
research
∙
05/19/2023
RCOT: Detecting and Rectifying Factual Inconsistency in Reasoning by Reversing Chain-of-Thought
Large language Models (LLMs) have achieved promising performance on arit...
research
∙
04/26/2023
Game-based Platforms for Artificial Intelligence Research
Games have been the perfect test-beds for artificial intelligence resear...
research
∙
04/13/2023
Adaptive active subspace-based metamodeling for high-dimensional reliability analysis
To address the challenges of reliability analysis in high-dimensional pr...
research
∙
03/25/2023
SmartBook: AI-Assisted Situation Report Generation
Emerging events, such as the COVID pandemic and the Ukraine Crisis, requ...
research
∙
03/23/2023
Relaxation-based importance sampling for structural reliability analysis
This study presents an importance sampling formulation based on adaptive...
research
∙
12/06/2022
State Space Closure: Revisiting Endless Online Level Generation via Reinforcement Learning
In this paper we revisit endless online level generation with the recent...
research
∙
12/04/2022
Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks
Adversarial attacks can easily fool object recognition systems based on ...
research
∙
10/21/2022
Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation
Knowledge distillation is one of the primary methods of transferring kno...
research
∙
08/18/2022
Optimized Equivalent Linearization for Random Vibration
A fundamental limitation of various Equivalent Linearization Methods (EL...
research
∙
07/12/2022
Online Game Level Generation from Music
Game consists of multiple types of content, while the harmony of differe...
research
∙
03/30/2022
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations
We present a meta-learning framework for learning new visual concepts qu...
research
∙
03/23/2022
Enhancing Classifier Conservativeness and Robustness by Polynomiality
We illustrate the detrimental effect, such as overconfident decisions, t...
research
∙
08/01/2021
Zeroth-Order Alternating Randomized Gradient Projection Algorithms for General Nonconvex-Concave Minimax Problems
In this paper, we study zeroth-order algorithms for nonconvex-concave mi...
research
∙
07/07/2021
Keiki: Towards Realistic Danmaku Generation via Sequential GANs
Search-based procedural content generation methods have recently been in...
research
∙
05/30/2021
CLEVE: Contrastive Pre-training for Event Extraction
Event extraction (EE) has considerably benefited from pre-trained langua...
research
∙
11/11/2020
Robust Reinforcement Learning for General Video Game Playing
Reinforcement learning has successfully learned to play challenging boar...
research
∙
05/13/2020
A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros
Applying latent variable evolution to game level design has become more ...
research
∙
04/28/2020
MAVEN: A Massive General Domain Event Detection Dataset
Event detection (ED), which identifies event trigger words and classifie...
research
∙
03/04/2020
Probabilistic Performance-Pattern Decomposition (PPPD): analysis framework and applications to stochastic mechanical systems
Since the early 1900s, numerous research efforts have been devoted to de...
research
∙
11/04/2019
Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations
Deep neural networks usually require massive labeled data, which restric...
research
∙
11/04/2019
Learning to Annotate: Modularizing Data Augmentation for TextClassifiers with Natural Language Explanations
Deep neural networks usually require massive labeled data, which restric...
research
∙
09/11/2019
Attention-Aware Age-Agnostic Visual Place Recognition
A cross-domain visual place recognition (VPR) task is proposed in this w...
research
∙
09/05/2019
Neural Rule Grounding for Low-Resource Relation Extraction
While deep neural models have gained successes on information extraction...
research
∙
08/27/2019
A novel active learning-based Gaussian process metamodelling strategy for estimating the full probability distribution in forward UQ analysis
This paper proposes an active learning-based Gaussian process (AL-GP) me...
research
∙
07/25/2019
How to Manipulate CNNs to Make Them Lie: the GradCAM Case
Recently many methods have been introduced to explain CNN decisions. How...
research
∙
06/30/2019