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09/11/2023
Multi3DRefer: Grounding Text Description to Multiple 3D Objects
We introduce the task of localizing a flexible number of objects in real...
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08/31/2023
Self-Sampling Meta SAM: Enhancing Few-shot Medical Image Segmentation with Meta-Learning
While the Segment Anything Model (SAM) excels in semantic segmentation f...
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07/13/2023
Prompts Should not be Seen as Secrets: Systematically Measuring Prompt Extraction Attack Success
The generations of large language models are commonly controlled through...
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06/13/2023
FLamE: Few-shot Learning from Natural Language Explanations
Natural language explanations have the potential to provide rich informa...
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05/16/2023
Maybe Only 0.5 Training Data Instruction Tuning
Instruction tuning for large language models (LLMs) has gained attention...
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01/23/2023
Selective Explanations: Leveraging Human Input to Align Explainable AI
While a vast collection of explainable AI (XAI) algorithms have been dev...
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11/08/2022
Active Example Selection for In-Context Learning
With a handful of demonstration examples, large-scale language models sh...
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10/19/2022
Data-Augmented Counterfactual Learning for Bundle Recommendation
Bundle Recommendation (BR) aims at recommending bundled items on online ...
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10/05/2022
CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization
The imitation learning of self-driving vehicle policies through behavior...
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05/23/2022
Learning to Ignore Adversarial Attacks
Despite the strong performance of current NLP models, they can be brittl...
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04/18/2022
Caption Feature Space Regularization for Audio Captioning
Audio captioning aims at describing the content of audio clips with huma...
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03/14/2022
Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis
The aspect-based sentiment analysis (ABSA) is a fine-grained task that a...
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03/08/2022
Virtual Displacement based Discontinuity Layout Optimization
Discontinuity layout optimization (DLO) is a relatively new upper bound ...
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12/31/2021
Intention Adaptive Graph Neural Network for Category-aware Session-based Recommendation
Session-based recommendation (SBR) is proposed to recommend items within...
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12/31/2021
Temporal aware Multi-Interest Graph Neural Network For Session-based Recommendation
Session-based recommendation (SBR) is a challenging task, which aims at ...
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12/27/2021
Automatic Configuration for Optimal Communication Scheduling in DNN Training
ByteScheduler partitions and rearranges tensor transmissions to improve ...
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12/22/2021
Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation
Conversational recommendation system (CRS) is able to obtain fine-graine...
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11/17/2021
Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance
Recently, Truncated Quantile Critics (TQC), using distributional represe...
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09/24/2021
Multi-behavior Graph Contextual Aware Network for Session-based Recommendation
Predicting the next interaction of a short-term sequence is a challengin...
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09/24/2021
Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation
Social recommendation based on social network has achieved great success...
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07/08/2021
Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation
Predicting the next interaction of a short-term interaction session is a...
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06/14/2021
On-Policy Deep Reinforcement Learning for the Average-Reward Criterion
We develop theory and algorithms for average-reward on-policy Reinforcem...
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04/13/2021
Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning
Graph neural networks (GNN) have been proven to be mature enough for han...
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03/12/2021
Discovery of Physics and Characterization of Microstructure from Data with Bayesian Hidden Physics Models
There has been a surge in the interest of using machine learning techniq...
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02/16/2021
Conversations Gone Alright: Quantifying and Predicting Prosocial Outcomes in Online Conversations
Online conversations can go in many directions: some turn out poorly due...
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09/17/2020
A micropolar peridynamics model with non-unified horizon for damage of solids with different non-local effects
Most peridynamics models adopt regular point distribution and unified ho...
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08/14/2020
Data-Informed Decomposition for Localized Uncertainty Quantification of Dynamical Systems
Industrial dynamical systems often exhibit multi-scale response due to m...
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07/21/2020
AinnoSeg: Panoramic Segmentation with High Perfomance
Panoramic segmentation is a scene where image segmentation tasks is more...
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07/04/2020
Direct dissipation-based arc-length approach for the cracking elements method
Dissipated energy, representing a monotonically increasing state variabl...
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04/12/2020
MLCVNet: Multi-Level Context VoteNet for 3D Object Detection
In this paper, we address the 3D object detection task by capturing mult...
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03/27/2020
α-Satellite: An AI-driven System and Benchmark Datasets for Hierarchical Community-level Risk Assessment to Help Combat COVID-19
The novel coronavirus and its deadly outbreak have posed grand challenge...
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03/26/2020
Advances in Bayesian Probabilistic Modeling for Industrial Applications
Industrial applications frequently pose a notorious challenge for state-...
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02/16/2020
First Order Optimization in Policy Space for Constrained Deep Reinforcement Learning
In reinforcement learning, an agent attempts to learn high-performing be...
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08/17/2019
Global cracking elements: a novel tool for Galerkin-based approaches simulating quasi-brittle fracture
Following the so-called Cracking Elements Method (CEM), recently present...
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07/26/2019
A Strategy for Adaptive Sampling of Multi-fidelity Gaussian Process to Reduce Predictive Uncertainty
Multi-fidelity Gaussian process is a common approach to address the exte...
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05/08/2019
Locality-Sensitive Sketching for Resilient Network Flow Monitoring
Network monitoring is vital in modern clouds and data center networks fo...
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06/02/2018
Efficient Entropy for Policy Gradient with Multidimensional Action Space
In recent years, deep reinforcement learning has been shown to be adept ...
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05/29/2018
Supervised Policy Update
We propose a new sample-efficient methodology, called Supervised Policy ...
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03/27/2018
Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions
Depthwise convolutions provide significant performance benefits owing to...
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10/16/2017
Which is better? A Modularized Evaluation for Topic Popularity Prediction
Topic popularity prediction in social networks has drawn much attention ...
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08/20/2017
Adaptive Sampling for Rapidly Matching Histograms
In exploratory data analysis, analysts often have a need to identify his...
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06/15/2017