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08/09/2023
Intrinsic Motivation via Surprise Memory
We present a new computing model for intrinsic rewards in reinforcement ...
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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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10/07/2022
EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification
The timing of cell divisions in early embryos during the In-Vitro Fertil...
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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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07/21/2022
Differentially Private Partial Set Cover with Applications to Facility Location
It was observed in <cit.> that the Set Cover problem has strong impossib...
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04/20/2022
Memory-Constrained Policy Optimization
We introduce a new constrained optimization method for policy gradient r...
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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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01/31/2022
Differentially Private Community Detection for Stochastic Block Models
The goal of community detection over graphs is to recover underlying lab...
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12/03/2021
Episodic Policy Gradient Training
We introduce a novel training procedure for policy gradient methods wher...
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05/27/2021
Differentially Private Densest Subgraph Detection
Densest subgraph detection is a fundamental graph mining problem, with a...
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11/02/2020
Facial UV Map Completion for Pose-invariant Face Recognition: A Novel Adversarial Approach based on Coupled Attention Residual UNets
Pose-invariant face recognition refers to the problem of identifying or ...
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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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06/23/2020
Meta Transfer Learning for Emotion Recognition
Deep learning has been widely adopted in automatic emotion recognition a...
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04/28/2020
Deep Auto-Encoders with Sequential Learning for Multimodal Dimensional Emotion Recognition
Multimodal dimensional emotion recognition has drawn a great attention f...
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04/09/2020
Beyond Disentangled Representations: An Attentive Angular Distillation Approach to Large-scale Lightweight Age-Invariant Face Recognition
Disentangled representations have been commonly adopted to Age-invariant...
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03/24/2020
Joint Deep Cross-Domain Transfer Learning for Emotion Recognition
Deep learning has been applied to achieve significant progress in emotio...
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07/12/2019
Language Support for Adaptation: Intent-Driven Programming in FAST
Historically, programming language semantics has focused on assigning a ...
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11/21/2018
Learning to Attend Relevant Regions in Videos from Eye Fixations
Attentively important objects in videos account for a majority part of s...
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05/25/2018