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09/05/2023
A study on the impact of pre-trained model on Just-In-Time defect prediction
Previous researchers conducting Just-In-Time (JIT) defect prediction tas...
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06/29/2023
MPM: A Unified 2D-3D Human Pose Representation via Masked Pose Modeling
Estimating 3D human poses only from a 2D human pose sequence is thorough...
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06/24/2023
H_2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models
Large Language Models (LLMs), despite their recent impressive accomplish...
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05/30/2023
Are Large Kernels Better Teachers than Transformers for ConvNets?
This paper reveals a new appeal of the recently emerged large-kernel Con...
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03/26/2023
Learning Versatile 3D Shape Generation with Improved AR Models
Auto-Regressive (AR) models have achieved impressive results in 2D image...
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03/14/2023
Graph Transformer GANs for Graph-Constrained House Generation
We present a novel graph Transformer generative adversarial network (GTG...
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03/03/2023
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
Sparse Neural Networks (SNNs) have received voluminous attention predomi...
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03/02/2023
Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers
Despite their remarkable achievement, gigantic transformers encounter si...
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02/24/2023
Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?
Given a robust model trained to be resilient to one or multiple types of...
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11/29/2022
Towards Generalized Open Information Extraction
Open Information Extraction (OpenIE) facilitates the open-domain discove...
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10/27/2022
ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts
Recent progress in diffusion models has revolutionized the popular techn...
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10/12/2022
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding
Recent years have witnessed the rise and success of pre-training techniq...
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09/23/2022
hdtg: An R package for high-dimensional truncated normal simulation
Simulating from the multivariate truncated normal distribution (MTN) is ...
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09/20/2022
An Efficient End-to-End Transformer with Progressive Tri-modal Attention for Multi-modal Emotion Recognition
Recent works on multi-modal emotion recognition move towards end-to-end ...
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07/14/2022
Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration
Building document-grounded dialogue systems have received growing intere...
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07/03/2022
Capacity Bounds for the Two-User IM/DD Interference Channel
This paper studies the capacity of the two-user intensity-modulation/dir...
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06/15/2022
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness
Certifiable robustness is a highly desirable property for adopting deep ...
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05/24/2022
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free
Trojan attacks threaten deep neural networks (DNNs) by poisoning them to...
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03/12/2022
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy
Vision transformers (ViTs) have gained increasing popularity as they are...
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01/18/2022
Hamiltonian zigzag accelerates large-scale inference for conditional dependencies between complex biological traits
Inferring dependencies between complex biological traits while accountin...
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10/30/2021
You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership
Despite tremendous success in many application scenarios, the training a...
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10/18/2021
FMFCC-A: A Challenging Mandarin Dataset for Synthetic Speech Detection
As increasing development of text-to-speech (TTS) and voice conversion (...
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10/09/2021
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning
Distantly supervised named entity recognition (DS-NER) efficiently reduc...
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09/22/2021
DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training Encoder
With the rapid development of artificial intelligence, conversational bo...
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06/15/2021
Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection
Non-parametric face modeling aims to reconstruct 3D face only from image...
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06/06/2021
Efficient Lottery Ticket Finding: Less Data is More
The lottery ticket hypothesis (LTH) reveals the existence of winning tic...
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05/31/2021
GANs Can Play Lottery Tickets Too
Deep generative adversarial networks (GANs) have gained growing populari...
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04/21/2021
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
This paper reviews the first NTIRE challenge on quality enhancement of c...
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04/16/2021
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization
Batch normalization (BN) is a key facilitator and considered essential f...
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04/15/2021
Hamiltonian zigzag sampler got more momentum than its Markovian counterpart: Equivalence of two zigzags under a momentum refreshment limit
Zigzag and other piecewise deterministic Markov process samplers have at...
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10/16/2020
Coarse-to-Fine Pre-training for Named Entity Recognition
More recently, Named Entity Recognition hasachieved great advances aided...
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05/13/2020
Residual Clipping Noise in Multi-layer Optical OFDM: Modeling, Analysis, and Application
Optical orthogonal frequency division multiplexing (O-OFDM) schemes are ...
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03/28/2020
HIN: Hierarchical Inference Network for Document-Level Relation Extraction
Document-level RE requires reading, inferring and aggregating over multi...
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02/25/2020
Event Detection with Relation-Aware Graph Convolutional Neural Networks
Event detection (ED), a key subtask of information extraction, aims to r...
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12/19/2019
Large-scale inference of correlation among mixed-type biological traits with Phylogenetic multivariate probit models
Inferring concerted changes among biological traits along an evolutionar...
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09/23/2019
Formalism for Supporting the Development of Verifiably Safe Medical Guidelines with Statecharts
Improving the effectiveness and safety of patient care is the ultimate o...
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09/10/2019
Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy
Joint extraction of entities and relations aims to detect entity pairs a...
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07/15/2019
Proximal Policy Optimization with Mixed Distributed Training
Instability and slowness are two main problems in deep reinforcement lea...
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06/08/2019
Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic Segmentation
In this paper, we propose a novel Pattern-Affinitive Propagation (PAP) f...
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05/29/2019
Gradients do grow on trees: a linear-time O( N )-dimensional gradient for statistical phylogenetics
Calculation of the log-likelihood stands as the computational bottleneck...
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04/17/2019
Online Adaptation through Meta-Learning for Stereo Depth Estimation
In this work, we tackle the problem of online adaptation for stereo dept...
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02/01/2019
Joint Entity Linking with Deep Reinforcement Learning
Entity linking is the task of aligning mentions to corresponding entitie...
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01/01/2019
A Noise-Sensitivity-Analysis-Based Test Prioritization Technique for Deep Neural Networks
Deep neural networks (DNNs) have been widely used in the fields such as ...
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11/20/2018
Model and Integrate Medical Resource Availability into Verifiably Correct Executable Medical Guidelines - Technical Report
Improving effectiveness and safety of patient care is an ultimate object...
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11/20/2018
Model and Integrate Medical Resource Available Times and Relationships in Verifiably Correct Executable Medical Best Practice Guideline Models (Extended Version)
Improving patient care safety is an ultimate objective for medical cyber...
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11/02/2018
Design Verifiably Correct Model Patterns to Facilitate Modeling Medical Best Practice Guidelines with Statecharts (Technical Report)
Improving patient care safety is an ultimate objective for medical cyber...
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07/07/2018