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07/24/2023
Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction
Humans are highly adaptable, swiftly switching between different modes t...
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01/17/2023
Memory-Augmented Theory of Mind Network
Social reasoning necessitates the capacity of theory of mind (ToM), the ...
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10/23/2022
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization
The capacity to achieve out-of-distribution (OOD) generalization is a ha...
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09/21/2022
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation
Data-free Knowledge Distillation (DFKD) has attracted attention recently...
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07/08/2022
Video Dialog as Conversation about Objects Living in Space-Time
It would be a technological feat to be able to create a system that can ...
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05/25/2022
Guiding Visual Question Answering with Attention Priors
The current success of modern visual reasoning systems is arguably attri...
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05/13/2022
Fast Conditional Network Compression Using Bayesian HyperNetworks
We introduce a conditional compression problem and propose a fast framew...
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04/21/2022
Persistent-Transient Duality in Human Behavior Modeling
We propose to model the persistent-transient duality in human behavior u...
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04/17/2022
Learning Theory of Mind via Dynamic Traits Attribution
Machine learning of Theory of Mind (ToM) is essential to build social ag...
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02/24/2022
Towards Effective and Robust Neural Trojan Defenses via Input Filtering
Trojan attacks on deep neural networks are both dangerous and surreptiti...
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02/14/2022
Learning to Discover Medicines
Discovering new medicines is the hallmark of human endeavor to live a be...
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11/03/2021
Model-Based Episodic Memory Induces Dynamic Hybrid Controls
Episodic control enables sample efficiency in reinforcement learning by ...
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07/24/2021
Clustering by Maximizing Mutual Information Across Views
We propose a novel framework for image clustering that incorporates join...
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06/25/2021
Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering
Video Question Answering (Video QA) is a powerful testbed to develop new...
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05/20/2021
A Spatio-temporal Attention-based Model for Infant Movement Assessment from Videos
The absence or abnormality of fidgety movements of joints or limbs is st...
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04/12/2021
Object-Centric Representation Learning for Video Question Answering
Video question answering (Video QA) presents a powerful testbed for huma...
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03/24/2021
Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction
Motivation: Several accurate deep learning models have been proposed to ...
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03/03/2021
Learning Asynchronous and Sparse Human-Object Interaction in Videos
Human activities can be learned from video. With effective modeling it i...
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12/03/2020
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization
We propose two generic methods for improving semi-supervised learning (S...
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11/19/2020
Logically Consistent Loss for Visual Question Answering
Given an image, a back-ground knowledge, and a set of questions about an...
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11/05/2020
Goal-driven Long-Term Trajectory Prediction
The prediction of humans' short-term trajectories has advanced significa...
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11/02/2020
Toward a Generalization Metric for Deep Generative Models
Measuring the generalization capacity of Deep Generative Models (DGMs) i...
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10/18/2020
Hierarchical Conditional Relation Networks for Multimodal Video Question Answering
Video QA challenges modelers in multiple fronts. Modeling video necessit...
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09/25/2020
GEFA: Early Fusion Approach in Drug-Target Affinity Prediction
Predicting the interaction between a compound and a target is crucial fo...
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09/20/2020
Unsupervised Anomaly Detection on Temporal Multiway Data
Temporal anomaly detection looks for irregularities over space-time. Uns...
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09/16/2020
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning
Guilt aversion induces experience of a utility loss in people if they be...
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08/20/2020
Learning to Abstract and Predict Human Actions
Human activities are naturally structured as hierarchies unrolled over t...
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05/18/2020
HyperVAE: A Minimum Description Length Variational Hyper-Encoding Network
We propose a framework called HyperVAE for encoding distributions of dis...
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04/30/2020
Dynamic Language Binding in Relational Visual Reasoning
We present Language-binding Object Graph Network, the first neural reaso...
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02/25/2020
Hierarchical Conditional Relation Networks for Video Question Answering
Video question answering (VideoQA) is challenging as it requires modelin...
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02/10/2020
Self-Assttentive Associative Memory
Heretofore, neural networks with external memory are restricted to singl...
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02/10/2020
Self-Attentive Associative Memory
Heretofore, neural networks with external memory are restricted to singl...
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09/10/2019
Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning
Prior access to domain knowledge could significantly improve the perform...
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08/26/2019
Theory and Evaluation Metrics for Learning Disentangled Representations
We make two theoretical contributions to disentanglement learning by (a)...
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07/10/2019
Learning to Reason with Relational Video Representation for Question Answering
How does machine learn to reason about the content of a video in answeri...
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05/25/2019
Neural Stored-program Memory
Neural networks powered with external memory simulate computer behaviors...
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03/08/2019
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos
Appearance features have been widely used in video anomaly detection eve...
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02/11/2019
Improving Generalization and Stability of Generative Adversarial Networks
Generative Adversarial Networks (GANs) are one of the most popular tools...
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01/05/2019
Learning to Remember More with Less Memorization
Memory-augmented neural networks consisting of a neural controller and a...
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12/27/2018
Towards effective AI-powered agile project management
The rise of Artificial intelligence (AI) has the potential to significan...
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12/22/2018
Graph Transformation Policy Network for Chemical Reaction Prediction
We address a fundamental problem in chemistry known as chemical reaction...
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08/10/2018
Relational dynamic memory networks
Working memory is an essential component of reasoning -- the capacity to...
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07/26/2018
Variational Memory Encoder-Decoder
Introducing variability while maintaining coherence is a core task in le...
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07/11/2018
On catastrophic forgetting and mode collapse in Generative Adversarial Networks
Generative Adversarial Networks (GAN) are one of the most prominent tool...
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04/01/2018
Attentional Multilabel Learning over Graphs - A message passing approach
We address a largely open problem of multilabel classification over grap...
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02/11/2018
Dual Control Memory Augmented Neural Networks for Treatment Recommendations
Machine-assisted treatment recommendations hold a promise to reduce phys...
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02/03/2018
Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records
Modern healthcare is ripe for disruption by AI. A game changer would be ...
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02/03/2018
Memory-Augmented Neural Networks for Predictive Process Analytics
Process analytics involves a sophisticated layer of data analytics built...
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02/03/2018
A deep tree-based model for software defect prediction
Defects are common in software systems and can potentially cause various...
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02/02/2018