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09/08/2023
The Power of Sound (TPoS): Audio Reactive Video Generation with Stable Diffusion
In recent years, video generation has become a prominent generative tool...
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08/23/2023
Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach
Computerized Adaptive Testing (CAT) is a widely used, efficient test mod...
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06/01/2023
Addressing Negative Transfer in Diffusion Models
Diffusion-based generative models have achieved remarkable success in va...
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04/21/2023
Task-Adaptive Pseudo Labeling for Transductive Meta-Learning
Meta-learning performs adaptation through a limited amount of support se...
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03/14/2023
DisCoHead: Audio-and-Video-Driven Talking Head Generation by Disentangled Control of Head Pose and Facial Expressions
For realistic talking head generation, creating natural head motion whil...
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02/01/2023
Clinical Decision Transformer: Intended Treatment Recommendation through Goal Prompting
With recent achievements in tasks requiring context awareness, foundatio...
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01/09/2023
Latent Conjunctive Bayesian Network: Unify Attribute Hierarchy and Bayesian Network for Cognitive Diagnosis
Cognitive diagnostic assessment aims to measure specific knowledge struc...
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12/12/2022
Towards Practical Plug-and-Play Diffusion Models
Diffusion-based generative models have achieved remarkable success in im...
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11/21/2022
Evaluating the Knowledge Dependency of Questions
The automatic generation of Multiple Choice Questions (MCQ) has the pote...
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06/09/2022
CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization
For a long time, anomaly localization has been widely used in industries...
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03/13/2022
FlexBlock: A Flexible DNN Training Accelerator with Multi-Mode Block Floating Point Support
Training deep neural networks (DNNs) is a computationally expensive job,...
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03/05/2022
Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter Pruning
Conventional NAS-based pruning algorithms aim to find the sub-network wi...
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12/27/2021
Vision Transformer for Small-Size Datasets
Recently, the Vision Transformer (ViT), which applied the transformer st...
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10/20/2021
Contextual Gradient Scaling for Few-Shot Learning
Model-agnostic meta-learning (MAML) is a well-known optimization-based m...
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07/01/2021
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble
Recent advance in deep offline reinforcement learning (RL) has made it p...
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04/28/2021
Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network
Knowledge distillation (KD) is one of the most useful techniques for lig...
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05/14/2020
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning
Model-based reinforcement learning (RL) enjoys several benefits, such as...
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02/14/2020
LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale
We present a privacy system that leverages differential privacy to prote...
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07/04/2019
Graph-based Knowledge Distillation by Multi-head Attention Network
Knowledge distillation (KD) is a technique to derive optimal performance...
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07/04/2019