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09/18/2023
Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective
Two prevalent types of distributional shifts in machine learning are the...
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08/29/2023
Stochastic Variational Inference for GARCH Models
Stochastic variational inference algorithms are derived for fitting vari...
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08/03/2023
Learning Implicit Entity-object Relations by Bidirectional Generative Alignment for Multimodal NER
The challenge posed by multimodal named entity recognition (MNER) is mai...
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06/26/2023
Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression
Pretrained transformers exhibit the remarkable ability of in-context lea...
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06/25/2023
Chain-of-Thought Prompt Distillation for Multimodal Named Entity and Multimodal Relation Extraction
Multimodal Named Entity Recognition (MNER) and Multimodal Relation Extra...
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06/07/2023
Stochastic Collapse: How Gradient Noise Attracts SGD Dynamics Towards Simpler Subnetworks
In this work, we reveal a strong implicit bias of stochastic gradient de...
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06/02/2023
Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms
Learning disentangled causal representations is a challenging problem th...
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06/01/2023
Interpreting GNN-based IDS Detections Using Provenance Graph Structural Features
The black-box nature of complex Neural Network (NN)-based models has hin...
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05/31/2023
Towards Fair Disentangled Online Learning for Changing Environments
In the problem of online learning for changing environments, data are se...
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05/24/2023
InterFormer: Interactive Local and Global Features Fusion for Automatic Speech Recognition
The local and global features are both essential for automatic speech re...
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05/24/2023
Multiresolution Feature Guidance Based Transformer for Anomaly Detection
Anomaly detection is represented as an unsupervised learning to identify...
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05/23/2023
Rethinking Speech Recognition with A Multimodal Perspective via Acoustic and Semantic Cooperative Decoding
Attention-based encoder-decoder (AED) models have shown impressive perfo...
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05/16/2023
SCTracker: Multi-object tracking with shape and confidence constraints
Detection-based tracking is one of the main methods of multi-object trac...
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05/10/2023
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers
Cooperative multi-agent reinforcement learning (CMARL) has shown to be p...
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05/09/2023
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation
Communication can promote coordination in cooperative Multi-Agent Reinfo...
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05/07/2023
Robust Multi-agent Communication via Multi-view Message Certification
Many multi-agent scenarios require message sharing among agents to promo...
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02/19/2023
Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning
Utilizing messages from teammates can improve coordination in cooperativ...
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02/19/2023
Uncertainty-Aware Reward-based Deep Reinforcement Learning for Intent Analysis of Social Media Information
Due to various and serious adverse impacts of spreading fake news, it is...
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12/13/2022
PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration
Proximal Policy Optimization (PPO) is a highly popular policy-based deep...
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10/29/2022
Neural network quantum state with proximal optimization: a ground-state searching scheme based on variational Monte Carlo
Neural network quantum states (NQS), incorporating with variational Mont...
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10/06/2022
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?
Modern deep learning involves training costly, highly overparameterized ...
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10/06/2022
Block-Structured Optimization for Subgraph Detection in Interdependent Networks
We propose a generalized framework for block-structured nonconvex optimi...
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07/05/2022
Stochastic declustering of earthquakes with the spatiotemporal RETAS model
Epidemic-Type Aftershock Sequence (ETAS) models are point processes that...
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06/29/2022
Framing Algorithmic Recourse for Anomaly Detection
The problem of algorithmic recourse has been explored for supervised mac...
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06/26/2022
Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs
We propose a new approach, the calibrated nonparametric scan statistic (...
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06/12/2022
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning
An in-depth understanding of uncertainty is the first step to making eff...
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05/20/2022
Adaptive Fairness-Aware Online Meta-Learning for Changing Environments
The fairness-aware online learning framework has arisen as a powerful to...
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04/09/2022
S4OD: Semi-Supervised learning for Single-Stage Object Detection
Single-stage detectors suffer from extreme foreground-background class i...
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03/23/2022
Lane detection with Position Embedding
Recently, lane detection has made great progress in autonomous driving. ...
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03/17/2022
Interacting Attention Graph for Single Image Two-Hand Reconstruction
Graph convolutional network (GCN) has achieved great success in single h...
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03/01/2022
Layer Adaptive Deep Neural Networks for Out-of-distribution Detection
During the forward pass of Deep Neural Networks (DNNs), inputs gradually...
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02/05/2022
SEED: Sound Event Early Detection via Evidential Uncertainty
Sound Event Early Detection (SEED) is an essential task in recognizing t...
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01/30/2022
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information
Few-shot classification (FSC) requires training models using a few (typi...
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01/28/2022
Transfering Hierarchical Structure with Dual Meta Imitation Learning
Hierarchical Imitation Learning (HIL) is an effective way for robots to ...
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01/26/2022
Learning Invariable Semantical Representation from Language for Extensible Policy Generalization
Recently, incorporating natural language instructions into reinforcement...
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12/15/2021
Spatiotemporal ETAS model with a renewal main-shock arrival process
This article proposes a spatiotemporal point process model that enhances...
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12/06/2021
Prototypical Model with Novel Information-theoretic Loss Function for Generalized Zero Shot Learning
Generalized zero shot learning (GZSL) is still a technical challenge of ...
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10/30/2021
Adjacency constraint for efficient hierarchical reinforcement learning
Goal-conditioned Hierarchical Reinforcement Learning (HRL) is a promisin...
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09/18/2021
Memory Regulation and Alignment toward Generalizer RGB-Infrared Person
The domain shift, coming from unneglectable modality gap and non-overlap...
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09/18/2021
Homogeneous and Heterogeneous Relational Graph for Visible-infrared Person Re-identification
Visible-infrared person re-identification (VI Re-ID) aims to match perso...
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09/14/2021
Non-autoregressive Transformer with Unified Bidirectional Decoder for Automatic Speech Recognition
Non-autoregressive (NAR) transformer models have been studied intensivel...
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09/01/2021
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation
Recent multilingual pre-trained language models have achieved remarkable...
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08/27/2021
Subjective Learning for Open-Ended Data
Conventional machine learning methods typically assume that data is spli...
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08/21/2021
Fairness-Aware Online Meta-learning
In contrast to offline working fashions, two research paradigms are devi...
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08/19/2021
Network-wide link travel time and station waiting time estimation using automatic fare collection data: A computational graph approach
Urban rail transit (URT) system plays a dominating role in many megaciti...
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07/21/2021
Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks
During the past decade, deep learning's performance has been widely reco...
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06/17/2021
CRIL: Continual Robot Imitation Learning via Generative and Prediction Model
Imitation learning (IL) algorithms have shown promising results for robo...
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06/14/2021
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning
Semi-supervised learning (SSL) algorithms have had great success in rece...
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05/19/2021
Local Aggressive Adversarial Attacks on 3D Point Cloud
Deep neural networks are found to be prone to adversarial examples which...
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05/06/2021