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...
share
research
∙
08/24/2023
Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory
Risk-sensitive reinforcement learning (RL) has garnered significant atte...
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...
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 ...
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...
research
∙
08/18/2023
TrOMR:Transformer-Based Polyphonic Optical Music Recognition
Optical Music Recognition (OMR) is an important technology in music and ...
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...
research
∙
06/30/2023
Statler: State-Maintaining Language Models for Embodied Reasoning
Large language models (LLMs) provide a promising tool that enable robots...
research
∙
05/28/2023
Plug-and-Play Knowledge Injection for Pre-trained Language Models
Injecting external knowledge can improve the performance of pre-trained ...
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...
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...
research
∙
04/24/2023
Learning Visibility Field for Detailed 3D Human Reconstruction and Relighting
Detailed 3D reconstruction and photo-realistic relighting of digital hum...
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 ...
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...
research
∙
02/03/2023
Contrastive Learning with Consistent Representations
Contrastive learning demonstrates great promise for representation learn...
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...
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...
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...
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...
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...
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...
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...
research
∙
09/12/2022
Attitude-Guided Loop Closure for Cameras with Negative Plane
Loop closure is an important component of Simultaneous Localization and ...
research
∙
08/16/2022
Manual-Guided Dialogue for Flexible Conversational Agents
How to build and use dialogue data efficiently, and how to deploy models...
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...
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...
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...
research
∙
05/15/2022
A Computational Framework of Cortical Microcircuits Approximates Sign-concordant Random Backpropagation
Several recent studies attempt to address the biological implausibility ...
research
∙
04/02/2022
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation
Existing reference-free metrics have obvious limitations for evaluating ...
research
∙
03/12/2022
ELLE: Efficient Lifelong Pre-training for Emerging Data
Current pre-trained language models (PLM) are typically trained with sta...
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...
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...
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...
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 ...
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...
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...
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...
research
∙
11/12/2021
On Transferability of Prompt Tuning for Natural Language Understanding
Prompt tuning (PT) is a promising parameter-efficient method to utilize ...
research
∙
11/02/2021
FedGraph: Federated Graph Learning with Intelligent Sampling
Federated learning has attracted much research attention due to its priv...
research
∙
10/15/2021
Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning
How can pre-trained language models (PLMs) learn universal representatio...
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...
research
∙
10/08/2021
Topology-Imbalance Learning for Semi-Supervised Node Classification
The class imbalance problem, as an important issue in learning node repr...
research
∙
10/05/2021
MoEfication: Conditional Computation of Transformer Models for Efficient Inference
Transformer-based pre-trained language models can achieve superior perfo...
research
∙
09/23/2021
Dynamic Knowledge Distillation for Pre-trained Language Models
Knowledge distillation (KD) has been proved effective for compressing la...
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...
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 ...
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 ...
research
∙
08/05/2021
WeChat Neural Machine Translation Systems for WMT21
This paper introduces WeChat AI's participation in WMT 2021 shared news ...
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...
research
∙
07/25/2021
