b'Wei Wu'

research

∙ 08/19/2023

Scalable Video Object Segmentation with Simplified Framework

The current popular methods for video object segmentation (VOS) implemen...

0 Qiangqiang Wu, et al. ∙

research

∙ 07/27/2023

Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models

Prompt tuning and adapter tuning have shown great potential in transferr...

0 Kecheng Zheng, et al. ∙

research

∙ 07/26/2023

Understanding Deep Neural Networks via Linear Separability of Hidden Layers

In this paper, we measure the linear separability of hidden layer output...

0 Chao Zhang, et al. ∙

research

∙ 07/19/2023

LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs

LLMs have shown promise in replicating human-like behavior in crowdsourc...

0 Tongshuang Wu, et al. ∙

research

∙ 07/19/2023

NTIRE 2023 Quality Assessment of Video Enhancement Challenge

This paper reports on the NTIRE 2023 Quality Assessment of Video Enhance...

0 Xiaohong Liu, et al. ∙

research

∙ 07/13/2023

Packing squares independently

Given a set of squares and a strip of bounded width and infinite height,...

0 Wei Wu, et al. ∙

research

∙ 06/25/2023

Feature Adversarial Distillation for Point Cloud Classification

Due to the point cloud's irregular and unordered geometry structure, con...

0 YuXing Lee, et al. ∙

research

∙ 06/17/2023

Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation

Existing controllable dialogue generation work focuses on the single-att...

0 Weihao Zeng, et al. ∙

research

∙ 06/14/2023

T5-SR: A Unified Seq-to-Seq Decoding Strategy for Semantic Parsing

Translating natural language queries into SQLs in a seq2seq manner has a...

0 Yuntao Li, et al. ∙

research

∙ 05/26/2023

HUB: Guiding Learned Optimizers with Continuous Prompt Tuning

Learned optimizers are a crucial component of meta-learning. Recent adva...

7 Gaole Dai, et al. ∙

research

∙ 05/18/2023

Preference or Intent? Double Disentangled Collaborative Filtering

People usually have different intents for choosing items, while their pr...

0 Chao Wang, et al. ∙

research

∙ 04/16/2023

M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation

Cross-domain recommendation (CDR) is an effective way to alleviate the d...

0 Zepeng Huai, et al. ∙

research

∙ 03/27/2023

MD-VQA: Multi-Dimensional Quality Assessment for UGC Live Videos

User-generated content (UGC) live videos are often bothered by various d...

0 Zicheng Zhang, et al. ∙

research

∙ 03/20/2023

Multi-task Transformer with Relation-attention and Type-attention for Named Entity Recognition

Named entity recognition (NER) is an important research problem in natur...

0 Ying Mo, et al. ∙

research

∙ 02/24/2023

Time-aware Multiway Adaptive Fusion Network for Temporal Knowledge Graph Question Answering

Knowledge graphs (KGs) have received increasing attention due to its wid...

0 Yonghao Liu, et al. ∙

research

∙ 02/07/2023

FFHR: Fully and Flexible Hyperbolic Representation for Knowledge Graph Completion

Learning hyperbolic embeddings for knowledge graph (KG) has gained incre...

0 Wentao Shi, et al. ∙

research

∙ 01/08/2023

RGB-T Multi-Modal Crowd Counting Based on Transformer

Crowd counting aims to estimate the number of persons in a scene. Most s...

0 Zhengyi Liu, et al. ∙

research

∙ 01/05/2023

Polar Codes with Local-Global Decoding

In this paper, we investigate a coupled polar code architecture that sup...

0 Ziyuan Zhu, et al. ∙

research

∙ 12/09/2022

Validating quantum-supremacy experiments with exact and fast tensor network contraction

The quantum circuits that declare quantum supremacy, such as Google Syca...

0 Yong Liu, et al. ∙

research

∙ 11/14/2022

Discovering A Variety of Objects in Spatio-Temporal Human-Object Interactions

Spatio-temporal Human-Object Interaction (ST-HOI) detection aims at dete...

0 Yong-Lu Li, et al. ∙

research

∙ 11/06/2022

Robust Lottery Tickets for Pre-trained Language Models

Recent works on Lottery Ticket Hypothesis have shown that pre-trained la...

0 Rui Zheng, et al. ∙

research

∙ 10/27/2022

A Curriculum Learning Approach for Multi-domain Text Classification Using Keyword weight Ranking

Text classification is a very classic NLP task, but it has two prominent...

0 Zilin Yuan, et al. ∙

research

∙ 10/23/2022

Focus Is What You Need For Chinese Grammatical Error Correction

Chinese Grammatical Error Correction (CGEC) aims to automatically detect...

0 Jingheng Ye, et al. ∙

research

∙ 10/22/2022

PATS: Sensitivity-aware Noisy Learning for Pretrained Language Models

A wide range of NLP tasks benefit from the fine-tuning of pretrained lan...

0 Yupeng Zhang, et al. ∙

research

∙ 10/19/2022

UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning

Detecting out-of-domain (OOD) intents from user queries is essential for...

0 Yutao Mou, et al. ∙

research

∙ 10/17/2022

Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery

Discovering out-of-domain (OOD) intent is important for developing new s...

0 Yutao Mou, et al. ∙

research

∙ 10/17/2022

Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems

Recent advances in neural approaches greatly improve task-oriented dialo...

0 Weihao Zeng, et al. ∙

research

∙ 10/16/2022

Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion

Transformer-based pre-trained models like BERT have achieved great progr...

0 Jian Song, et al. ∙

research

∙ 10/10/2022

XPrompt: Exploring the Extreme of Prompt Tuning

Prompt tuning learns soft prompts to condition frozen Pre-trained Langua...

0 Fang Ma, et al. ∙

research

∙ 10/07/2022

DABERT: Dual Attention Enhanced BERT for Semantic Matching

Transformer-based pre-trained language models such as BERT have achieved...

0 Sirui Wang, et al. ∙

research

∙ 09/25/2022

From One to Many: Dynamic Cross Attention Networks for LiDAR and Camera Fusion

LiDAR and cameras are two complementary sensors for 3D perception in aut...

0 Rui Wan, et al. ∙

research

∙ 09/20/2022

One-to-Many Semantic Communication Systems: Design, Implementation, Performance Evaluation

Semantic communication in the 6G era has been deemed a promising communi...

3 Han Hu, et al. ∙

research

∙ 09/13/2022

Generalized Intent Discovery: Learning from Open World Dialogue System

Traditional intent classification models are based on a pre-defined inte...

0 Yutao Mou, et al. ∙

research

∙ 09/02/2022

Structural Bias for Aspect Sentiment Triplet Extraction

Structural bias has recently been exploited for aspect sentiment triplet...

0 Chen Zhang, et al. ∙

research

∙ 08/31/2022

Let Me Check the Examples: Enhancing Demonstration Learning via Explicit Imitation

Demonstration learning aims to guide the prompt prediction via providing...

0 Sirui Wang, et al. ∙

research

∙ 08/31/2022

Unified Knowledge Prompt Pre-training for Customer Service Dialogues

Dialogue bots have been widely applied in customer service scenarios to ...

0 Keqing He, et al. ∙

research

∙ 08/23/2022

CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations

Pre-trained Language Models (PLMs) have achieved remarkable performance ...

26 Borun Chen, et al. ∙

research

∙ 08/16/2022

Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries

Knowledge graph (KG) embeddings have been a mainstream approach for reas...

0 Xiao Liu, et al. ∙

research

∙ 08/01/2022

Long Short-Term Preference Modeling for Continuous-Time Sequential Recommendation

Modeling the evolution of user preference is essential in recommender sy...

0 Huixuan Chi, et al. ∙

research

∙ 07/23/2022

Low-Complexity Acoustic Echo Cancellation with Neural Kalman Filtering

The Kalman filter has been adopted in acoustic echo cancellation due to ...

0 Dong Yang, et al. ∙

research

∙ 07/16/2022

HQANN: Efficient and Robust Similarity Search for Hybrid Queries with Structured and Unstructured Constraints

The in-memory approximate nearest neighbor search (ANNS) algorithms have...

0 Wei Wu, et al. ∙

research

∙ 06/08/2022

Perceptual Quality Assessment for Fine-Grained Compressed Images

Recent years have witnessed the rapid development of image storage and t...

0 Zicheng Zhang, et al. ∙

research

∙ 06/07/2022

Searching for Optimal Subword Tokenization in Cross-domain NER

Input distribution shift is one of the vital problems in unsupervised do...

0 Ruotian Ma, et al. ∙

research

∙ 05/29/2022

AutoDisc: Automatic Distillation Schedule for Large Language Model Compression

Driven by the teacher-student paradigm, knowledge distillation is one of...

6 Chen Zhang, et al. ∙

research

∙ 05/24/2022

Ensemble Multi-Relational Graph Neural Networks

It is well established that graph neural networks (GNNs) can be interpre...

0 Yuling Wang, et al. ∙

research

∙ 05/21/2022

Boosting Camouflaged Object Detection with Dual-Task Interactive Transformer

Camouflaged object detection intends to discover the concealed objects h...

0 Zhengyi Liu, et al. ∙

research

∙ 05/18/2022

Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification

Cross-domain sentiment classification (CDSC) aims to use the transferabl...

1 Kai Zhang, et al. ∙

research

∙ 05/11/2022

Making Pre-trained Language Models Good Long-tailed Learners

Prompt-tuning has shown appealing performance in few-shot classification...

0 Chen Zhang, et al. ∙

research

∙ 05/03/2022

Cross Domain Object Detection by Target-Perceived Dual Branch Distillation

Cross domain object detection is a realistic and challenging task in the...

1 Mengzhe He, et al. ∙

research

∙ 04/24/2022

Locality Sensitive Hashing for Structured Data: A Survey

Data similarity (or distance) computation is a fundamental research topi...

0 Wei Wu, et al. ∙

Wei Wu

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