b'Peng Li'

research

∙ 09/07/2023

DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks

Dynamic Graph Neural Network (DGNN) has shown a strong capability of lea...

0 Fahao Chen, et al. ∙

research

∙ 08/24/2023

Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory

Risk-sensitive reinforcement learning (RL) has garnered significant atte...

0 Karthik Somayaji NS, et al. ∙

research

∙ 08/20/2023

DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data

Data preprocessing is a crucial step in the machine learning process tha...

0 Peng Li, et al. ∙

research

∙ 08/20/2023

HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds

Spiking neural networks (SNNs) offer promise for efficient and powerful ...

0 Hejia Geng, et al. ∙

research

∙ 08/20/2023

Arena: A Learning-based Synchronization Scheme for Hierarchical Federated Learning–Technical Report

Federated learning (FL) enables collaborative model training among distr...

0 Tianyu Qi, et al. ∙

research

∙ 08/18/2023

TrOMR:Transformer-Based Polyphonic Optical Music Recognition

Optical Music Recognition (OMR) is an important technology in music and ...

0 Yixuan Li, et al. ∙

research

∙ 07/27/2023

Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples

Relational tables, where each row corresponds to an entity and each colu...

0 Peng Li, et al. ∙

research

∙ 06/30/2023

Statler: State-Maintaining Language Models for Embodied Reasoning

Large language models (LLMs) provide a promising tool that enable robots...

0 Takuma Yoneda, et al. ∙

research

∙ 05/28/2023

Plug-and-Play Knowledge Injection for Pre-trained Language Models

Injecting external knowledge can improve the performance of pre-trained ...

0 Zhengyan Zhang, et al. ∙

research

∙ 05/26/2023

Pulse shape discrimination based on the Tempotron: a powerful classifier on GPU

This study introduces the Tempotron, a powerful classifier based on a th...

0 Haoran Liu, et al. ∙

research

∙ 05/04/2023

High-dimensional Bayesian Optimization via Semi-supervised Learning with Optimized Unlabeled Data Sampling

Bayesian optimization (BO) is a powerful tool for seeking the global opt...

0 Yuxuan Yin, et al. ∙

research

∙ 04/24/2023

Learning Visibility Field for Detailed 3D Human Reconstruction and Relighting

Detailed 3D reconstruction and photo-realistic relighting of digital hum...

0 Ruichen Zheng, et al. ∙

research

∙ 04/21/2023

Don't worry about mistakes! Glass Segmentation Network via Mistake Correction

Recall one time when we were in an unfamiliar mall. We might mistakenly ...

0 Chengyu Zheng, et al. ∙

research

∙ 03/07/2023

AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes

The existing resource allocation policy for application instances in Kub...

0 Zhiqiang Zhou, et al. ∙

research

∙ 02/03/2023

Contrastive Learning with Consistent Representations

Contrastive learning demonstrates great promise for representation learn...

0 Zihu Wang, et al. ∙

research

∙ 01/25/2023

When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning

Federated Learning has become a widely-used framework which allows learn...

0 Wenkai Yang, et al. ∙

research

∙ 12/01/2022

Synaptic Dynamics Realize First-order Adaptive Learning and Weight Symmetry

Gradient-based first-order adaptive optimization methods such as the Ada...

0 Yukun Yang, et al. ∙

research

∙ 11/14/2022

MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction

The diverse relationships among real-world events, including coreference...

0 Xiaozhi Wang, et al. ∙

research

∙ 10/29/2022

iSmallNet: Densely Nested Network with Label Decoupling for Infrared Small Target Detection

Small targets are often submerged in cluttered backgrounds of infrared i...

0 Zhiheng Hu, et al. ∙

research

∙ 10/28/2022

GeoGCN: Geometric Dual-domain Graph Convolution Network for Point Cloud Denoising

We propose GeoGCN, a novel geometric dual-domain graph convolution netwo...

0 Zhaowei Chen, et al. ∙

research

∙ 10/18/2022

ROSE: Robust Selective Fine-tuning for Pre-trained Language Models

Even though the large-scale language models have achieved excellent perf...

0 Lan Jiang, et al. ∙

research

∙ 10/11/2022

From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models

Investigating better ways to reuse the released pre-trained language mod...

14 Lei Li, et al. ∙

research

∙ 09/12/2022

Attitude-Guided Loop Closure for Cameras with Negative Plane

Loop closure is an important component of Simultaneous Localization and ...

4 Ze Wang, et al. ∙

research

∙ 08/16/2022

Manual-Guided Dialogue for Flexible Conversational Agents

How to build and use dialogue data efficiently, and how to deploy models...

0 Ryuichi Takanobu, et al. ∙

research

∙ 07/25/2022

A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation

Reliable navigation systems have a wide range of applications in robotic...

0 Wenqi Zhang, et al. ∙

research

∙ 06/03/2022

CF-YOLO: Cross Fusion YOLO for Object Detection in Adverse Weather with a High-quality Real Snow Dataset

Snow is one of the toughest adverse weather conditions for object detect...

0 Qiqi Ding, et al. ∙

research

∙ 06/02/2022

Dynamic MRI using Learned Transform-based Deep Tensor Low-Rank Network (DTLR-Net)

While low-rank matrix prior has been exploited in dynamic MR image recon...

0 Yinghao Zhang, et al. ∙

research

∙ 05/15/2022

A Computational Framework of Cortical Microcircuits Approximates Sign-concordant Random Backpropagation

Several recent studies attempt to address the biological implausibility ...

0 Yukun Yang, et al. ∙

research

∙ 04/02/2022

CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation

Existing reference-free metrics have obvious limitations for evaluating ...

0 Pei Ke, et al. ∙

research

∙ 03/12/2022

ELLE: Efficient Lifelong Pre-training for Emerging Data

Current pre-trained language models (PLM) are typically trained with sta...

6 Yujia Qin, et al. ∙

research

∙ 03/04/2022

OPAL: Occlusion Pattern Aware Loss for Unsupervised Light Field Disparity Estimation

Light field disparity estimation is an essential task in computer vision...

4 Peng Li, et al. ∙

research

∙ 02/27/2022

A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models

Pre-trained language models (PLMs) cannot well recall rich factual knowl...

0 Deming Ye, et al. ∙

research

∙ 02/08/2022

Binary Neural Networks as a general-propose compute paradigm for on-device computer vision

For binary neural networks (BNNs) to become the mainstream on-device com...

0 Guhong Nie, et al. ∙

research

∙ 12/29/2021

Signal and Image Reconstruction with Tight Frames via Unconstrained ℓ_1-αℓ_2-Analysis Minimizations

In the paper, we introduce an unconstrained analysis model based on the ...

0 Peng Li, et al. ∙

research

∙ 12/14/2021

Model Uncertainty-Aware Knowledge Amalgamation for Pre-Trained Language Models

As many fine-tuned pre-trained language models (PLMs) with promising per...

7 Lei Li, et al. ∙

research

∙ 11/16/2021

Learning to Navigate in a VUCA Environment: Hierarchical Multi-expert Approach

Despite decades of efforts, robot navigation in a real scenario with vol...

0 Wenqi Zhang, et al. ∙

research

∙ 11/14/2021

BioLeaF: A Bio-plausible Learning Framework for Training of Spiking Neural Networks

Our brain consists of biological neurons encoding information through ac...

0 Yukun Yang, et al. ∙

research

∙ 11/12/2021

On Transferability of Prompt Tuning for Natural Language Understanding

Prompt tuning (PT) is a promising parameter-efficient method to utilize ...

19 Yusheng Su, et al. ∙

research

∙ 11/02/2021

FedGraph: Federated Graph Learning with Intelligent Sampling

Federated learning has attracted much research attention due to its priv...

75 Fahao Chen, et al. ∙

research

∙ 10/15/2021

Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning

How can pre-trained language models (PLMs) learn universal representatio...

1 Yujia Qin, et al. ∙

research

∙ 10/15/2021

RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models

Backdoor attacks, which maliciously control a well-trained model's outpu...

4 Wenkai Yang, et al. ∙

research

∙ 10/08/2021

Topology-Imbalance Learning for Semi-Supervised Node Classification

The class imbalance problem, as an important issue in learning node repr...

6 Deli Chen, et al. ∙

research

∙ 10/05/2021

MoEfication: Conditional Computation of Transformer Models for Efficient Inference

Transformer-based pre-trained language models can achieve superior perfo...

0 Zhengyan Zhang, et al. ∙

research

∙ 09/23/2021

Dynamic Knowledge Distillation for Pre-trained Language Models

Knowledge distillation (KD) has been proved effective for compressing la...

0 Lei Li, et al. ∙

research

∙ 09/22/2021

Evaluation of mechanical and energy properties for the phase field modeling of failure

In recent years, various phase field models have been developed in varia...

0 Yuanfeng Yu, et al. ∙

research

∙ 09/17/2021

Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation

Visual dialogue is a challenging task since it needs to answer a series ...

0 Feilong Chen, et al. ∙

research

∙ 09/17/2021

GoG: Relation-aware Graph-over-Graph Network for Visual Dialog

Visual dialog, which aims to hold a meaningful conversation with humans ...

0 Feilong Chen, et al. ∙

research

∙ 08/05/2021

WeChat Neural Machine Translation Systems for WMT21

This paper introduces WeChat AI's participation in WMT 2021 shared news ...

0 Xianfeng Zeng, et al. ∙

research

∙ 08/04/2021

Composing Recurrent Spiking Neural Networks using Locally-Recurrent Motifs and Risk-Mitigating Architectural Optimization

In neural circuits, recurrent connectivity plays a crucial role in netwo...

0 Wenrui Zhang, et al. ∙

research

∙ 07/25/2021

H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks

Although spiking neural networks (SNNs) take benefits from the bio-plaus...

0 Ling Liang, et al. ∙

Peng Li

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