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08/19/2023
Scalable Video Object Segmentation with Simplified Framework
The current popular methods for video object segmentation (VOS) implemen...
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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...
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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...
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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...
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07/19/2023
NTIRE 2023 Quality Assessment of Video Enhancement Challenge
This paper reports on the NTIRE 2023 Quality Assessment of Video Enhance...
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07/13/2023
Packing squares independently
Given a set of squares and a strip of bounded width and infinite height,...
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06/25/2023
Feature Adversarial Distillation for Point Cloud Classification
Due to the point cloud's irregular and unordered geometry structure, con...
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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...
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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...
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05/26/2023
HUB: Guiding Learned Optimizers with Continuous Prompt Tuning
Learned optimizers are a crucial component of meta-learning. Recent adva...
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05/18/2023
Preference or Intent? Double Disentangled Collaborative Filtering
People usually have different intents for choosing items, while their pr...
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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...
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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...
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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...
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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...
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02/07/2023
FFHR: Fully and Flexible Hyperbolic Representation for Knowledge Graph Completion
Learning hyperbolic embeddings for knowledge graph (KG) has gained incre...
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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...
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01/05/2023
Polar Codes with Local-Global Decoding
In this paper, we investigate a coupled polar code architecture that sup...
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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...
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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...
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11/06/2022
Robust Lottery Tickets for Pre-trained Language Models
Recent works on Lottery Ticket Hypothesis have shown that pre-trained la...
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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...
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10/23/2022
Focus Is What You Need For Chinese Grammatical Error Correction
Chinese Grammatical Error Correction (CGEC) aims to automatically detect...
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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...
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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...
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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...
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10/17/2022
Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems
Recent advances in neural approaches greatly improve task-oriented dialo...
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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...
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10/10/2022
XPrompt: Exploring the Extreme of Prompt Tuning
Prompt tuning learns soft prompts to condition frozen Pre-trained Langua...
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10/07/2022
DABERT: Dual Attention Enhanced BERT for Semantic Matching
Transformer-based pre-trained language models such as BERT have achieved...
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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...
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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...
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09/13/2022
Generalized Intent Discovery: Learning from Open World Dialogue System
Traditional intent classification models are based on a pre-defined inte...
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09/02/2022
Structural Bias for Aspect Sentiment Triplet Extraction
Structural bias has recently been exploited for aspect sentiment triplet...
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08/31/2022
Let Me Check the Examples: Enhancing Demonstration Learning via Explicit Imitation
Demonstration learning aims to guide the prompt prediction via providing...
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08/31/2022
Unified Knowledge Prompt Pre-training for Customer Service Dialogues
Dialogue bots have been widely applied in customer service scenarios to ...
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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 ...
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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...
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08/01/2022
Long Short-Term Preference Modeling for Continuous-Time Sequential Recommendation
Modeling the evolution of user preference is essential in recommender sy...
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07/23/2022
Low-Complexity Acoustic Echo Cancellation with Neural Kalman Filtering
The Kalman filter has been adopted in acoustic echo cancellation due to ...
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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...
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06/08/2022
Perceptual Quality Assessment for Fine-Grained Compressed Images
Recent years have witnessed the rapid development of image storage and t...
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06/07/2022
Searching for Optimal Subword Tokenization in Cross-domain NER
Input distribution shift is one of the vital problems in unsupervised do...
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05/29/2022
AutoDisc: Automatic Distillation Schedule for Large Language Model Compression
Driven by the teacher-student paradigm, knowledge distillation is one of...
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05/24/2022
Ensemble Multi-Relational Graph Neural Networks
It is well established that graph neural networks (GNNs) can be interpre...
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05/21/2022
Boosting Camouflaged Object Detection with Dual-Task Interactive Transformer
Camouflaged object detection intends to discover the concealed objects h...
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05/18/2022
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification
Cross-domain sentiment classification (CDSC) aims to use the transferabl...
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05/11/2022
Making Pre-trained Language Models Good Long-tailed Learners
Prompt-tuning has shown appealing performance in few-shot classification...
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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...
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04/24/2022