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08/31/2023
Least Squares Maximum and Weighted Generalization-Memorization Machines
In this paper, we propose a new way of remembering by introducing a memo...
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08/21/2023
Numerical inverse scattering transform for the derivative nonlinear Schrodinger equation
In this paper, we develop the numerical inverse scattering transform (NI...
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08/14/2023
IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse
Humans have the ability to reuse previously learned policies to solve ne...
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07/29/2023
Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System
We introduce TacoBot, a user-centered task-oriented digital assistant de...
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06/28/2023
Sequential Attention Source Identification Based on Feature Representation
Snapshot observation based source localization has been widely studied d...
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06/27/2023
MAT: Mixed-Strategy Game of Adversarial Training in Fine-tuning
Fine-tuning large-scale pre-trained language models has been demonstrate...
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05/28/2023
Cross-Domain Policy Adaptation via Value-Guided Data Filtering
Generalizing policies across different domains with dynamics mismatch po...
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05/28/2023
On the Value of Myopic Behavior in Policy Reuse
Leveraging learned strategies in unfamiliar scenarios is fundamental to ...
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05/25/2023
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning
Data augmentation (DA) is a crucial technique for enhancing the sample e...
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05/24/2023
Reasoning with Language Model is Planning with World Model
Large language models (LLMs) have shown remarkable reasoning capabilitie...
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05/22/2023
Efficient Bilateral Cross-Modality Cluster Matching for Unsupervised Visible-Infrared Person ReID
Unsupervised visible-infrared person re-identification (USL-VI-ReID) aim...
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05/19/2023
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings
Augmenting large language models (LLMs) with external tools has emerged ...
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05/08/2023
Behavior Contrastive Learning for Unsupervised Skill Discovery
In reinforcement learning, unsupervised skill discovery aims to learn di...
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05/04/2023
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning
Graph neural networks (GNNs) have achieved remarkable success in various...
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04/11/2023
HPN: Personalized Federated Hyperparameter Optimization
Numerous research studies in the field of federated learning (FL) have a...
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03/25/2023
GPT is becoming a Turing machine: Here are some ways to program it
We demonstrate that, through appropriate prompting, GPT-3 family of mode...
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03/24/2023
LONGNN: Spectral GNNs with Learnable Orthonormal Basis
In recent years, a plethora of spectral graph neural networks (GNN) meth...
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03/06/2023
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning
Prompt tuning, in which a base pretrained model is adapted to each task ...
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02/15/2023
Causally-interpretable meta-analysis: clearly-defined causal effects and two case studies
Meta-analysis is commonly used to combine results from multiple clinical...
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12/27/2022
Efficient method for calculating the eigenvalue of the Zakharov-Shabat system
In this paper, a direct method is proposed to calculate the eigenvalue o...
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12/16/2022
Hard Sample Aware Network for Contrastive Deep Graph Clustering
Contrastive deep graph clustering, which aims to divide nodes into disjo...
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12/08/2022
ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction
This work introduces alternating latent topologies (ALTO) for high-fidel...
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11/30/2022
Neighbour Consistency Guided Pseudo-Label Refinement for Unsupervised Person Re-Identification
Unsupervised person re-identification (ReID) aims at learning discrimina...
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11/25/2022
BatmanNet: Bi-branch Masked Graph Transformer Autoencoder for Molecular Representation
Although substantial efforts have been made using graph neural networks ...
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10/30/2022
Search to Pass Messages for Temporal Knowledge Graph Completion
Completing missing facts is a fundamental task for temporal knowledge gr...
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10/12/2022
Frustratingly Simple Entity Tracking with Effective Use of Multi-Task Learning Models
We present SET, a frustratingly Simple-yet-effective approach for Entity...
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10/10/2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning
Visual reinforcement learning (RL), which makes decisions directly from ...
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10/04/2022
ThinkSum: Probabilistic reasoning over sets using large language models
Large language models (LLMs) have a substantial capacity for high-level ...
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09/30/2022
Visual Privacy Protection Based on Type-I Adversarial Attack
With the development of online artificial intelligence systems, many dee...
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08/07/2022
A Game-Theoretic Perspective of Generalization in Reinforcement Learning
Generalization in reinforcement learning (RL) is of importance for real ...
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07/25/2022
Balancing Stability and Plasticity through Advanced Null Space in Continual Learning
Continual learning is a learning paradigm that learns tasks sequentially...
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07/24/2022
Online Continual Learning with Contrastive Vision Transformer
Online continual learning (online CL) studies the problem of learning se...
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07/20/2022
Explicit Image Caption Editing
Given an image and a reference caption, the image caption editing task a...
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07/11/2022
Bootstrapping a User-Centered Task-Oriented Dialogue System
We present TacoBot, a task-oriented dialogue system built for the inaugu...
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07/08/2022
Generalization-Memorization Machines
Classifying the training data correctly without over-fitting is one of t...
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06/30/2022
Modern Question Answering Datasets and Benchmarks: A Survey
Question Answering (QA) is one of the most important natural language pr...
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06/16/2022
Extreme ratio between spectral and Frobenius norms of nonnegative tensors
One of the fundamental problems in multilinear algebra, the minimum rati...
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06/10/2022
NSSIA: A New Self-Sovereign Identity Scheme with Accountability
Self-Sovereign Identity (SSI) is a new distributed method for identity m...
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06/08/2022
FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization
Hyperparameter optimization (HPO) is crucial for machine learning algori...
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06/07/2022
Federated Hetero-Task Learning
To investigate the heterogeneity of federated learning in real-world sce...
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05/27/2022
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks
Graph Neural Networks (GNNs) have received extensive research attention ...
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05/27/2022
A Hybrid Josephson Transmission Line and Passive Transmission Line Routing Framework for Single Flux Quantum Logic
The Single Flux Quantum (SFQ) logic family is a novel digital logic as i...
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05/24/2022
D4: a Chinese Dialogue Dataset for Depression-Diagnosis-Oriented Chat
In a depression-diagnosis-directed clinical session, doctors initiate a ...
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04/15/2022
Towards Fine-grained Causal Reasoning and QA
Understanding causality is key to the success of NLP applications, espec...
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04/12/2022
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning
The incredible development of federated learning (FL) has benefited vari...
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04/11/2022
FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing
Although remarkable progress has been made by the existing federated lea...
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04/06/2022
PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations
Deep Reinforcement Learning (DRL) has been a promising solution to many ...
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04/04/2022
Experimental quantum adversarial learning with programmable superconducting qubits
Quantum computing promises to enhance machine learning and artificial in...
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03/16/2022
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration
Learning to collaborate is critical in Multi-Agent Reinforcement Learnin...
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02/26/2022