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09/17/2023
Syntax Tree Constrained Graph Network for Visual Question Answering
Visual Question Answering (VQA) aims to automatically answer natural lan...
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09/15/2023
Cure the headache of Transformers via Collinear Constrained Attention
As the rapid progression of practical applications based on Large Langua...
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09/11/2023
An Empirical Study of NetOps Capability of Pre-Trained Large Language Models
Nowadays, the versatile capabilities of Pre-trained Large Language Model...
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09/10/2023
One-Bit-Aided Modulo Sampling for DOA Estimation
Modulo sampling or unlimited sampling has recently drawn a great deal of...
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09/01/2023
VideoGen: A Reference-Guided Latent Diffusion Approach for High Definition Text-to-Video Generation
In this paper, we present VideoGen, a text-to-video generation approach,...
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08/28/2023
Zip to Zip-it: Compression to Achieve Local Differential Privacy
Local differential privacy techniques for numerical data typically trans...
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08/23/2023
E(3)-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
Identification and analysis of symmetrical patterns in the natural world...
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08/07/2023
Lossless preprocessing of floating point data to enhance compression
Data compression algorithms typically rely on identifying repeated seque...
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07/20/2023
No-frills Temporal Video Grounding: Multi-Scale Neighboring Attention and Zoom-in Boundary Detection
Temporal video grounding (TVG) aims to retrieve the time interval of a l...
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07/03/2023
A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics
In today's competitive and fast-evolving business environment, it is a c...
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06/27/2023
On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection
Detecting adversarial samples that are carefully crafted to fool the mod...
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06/27/2023
DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization
Adversarial training is one of the best-performing methods in improving ...
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06/26/2023
Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference
Deploying pre-trained transformer models like BERT on downstream tasks i...
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06/16/2023
Process Knowledge-infused Learning for Clinician-friendly Explanations
Language models have the potential to assess mental health using social ...
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06/08/2023
Actively Supervised Clustering for Open Relation Extraction
Current clustering-based Open Relation Extraction (OpenRE) methods usual...
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06/08/2023
RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction
Semantic matching is a mainstream paradigm of zero-shot relation extract...
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06/08/2023
Open Set Relation Extraction via Unknown-Aware Training
The existing supervised relation extraction methods have achieved impres...
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06/07/2023
On the Generalization of Multi-modal Contrastive Learning
Multi-modal contrastive learning (MMCL) has recently garnered considerab...
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06/02/2023
Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
Executing actions in a correlated manner is a common strategy for human ...
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05/27/2023
Towards Better Entity Linking with Multi-View Enhanced Distillation
Dense retrieval is widely used for entity linking to retrieve entities f...
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05/23/2023
Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement
Prompting methods such as Chain-of-Thought (CoT) have shed new light on ...
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05/23/2023
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion
Embedding models have shown great power in knowledge graph completion (K...
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05/22/2023
Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model
Pretrained language models have achieved remarkable success in various n...
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05/22/2023
Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition
This paper studies the computational offloading of video action recognit...
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05/21/2023
A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition
Existing models for named entity recognition (NER) are mainly based on l...
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05/20/2023
Movie101: A New Movie Understanding Benchmark
To help the visually impaired enjoy movies, automatic movie narrating sy...
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05/20/2023
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization
Models trained with empirical risk minimization (ERM) are revealed to ea...
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05/19/2023
DMDD: A Large-Scale Dataset for Dataset Mentions Detection
The recognition of dataset names is a critical task for automatic inform...
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05/16/2023
Accurate Gigapixel Crowd Counting by Iterative Zooming and Refinement
The increasing prevalence of gigapixel resolutions has presented new cha...
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05/16/2023
Maybe Only 0.5 Training Data Instruction Tuning
Instruction tuning for large language models (LLMs) has gained attention...
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05/16/2023
Dual-Alignment Pre-training for Cross-lingual Sentence Embedding
Recent studies have shown that dual encoder models trained with the sent...
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05/11/2023
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild
The principle of continual relation extraction (CRE) involves adapting t...
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05/06/2023
Pre-training Language Model as a Multi-perspective Course Learner
ELECTRA, the generator-discriminator pre-training framework, has achieve...
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05/04/2023
CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing
Dataset bias, i.e., the over-reliance on dataset-specific literal heuris...
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05/04/2023
UrbanBIS: a Large-scale Benchmark for Fine-grained Urban Building Instance Segmentation
We present the UrbanBIS benchmark for large-scale 3D urban understanding...
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04/27/2023
Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees
The rapid growth of social media has caused tremendous effects on inform...
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04/23/2023
Joint Beamforming and Phase Shift Design for Hybrid-IRS-and-UAV-aided Directional Modulation Network
Recently, intelligent reflecting surface (IRS) and unmanned aerial vehic...
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04/17/2023
InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction
Large language models have unlocked strong multi-task capabilities from ...
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04/14/2023
GreedyGD: Enhanced Generalized Deduplication for Direct Analytics in IoT
Exponential growth in the amount of data generated by the Internet of Th...
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04/14/2023
The Second Monocular Depth Estimation Challenge
This paper discusses the results for the second edition of the Monocular...
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03/27/2023
ActiveSelfHAR: Incorporating Self Training into Active Learning to Improve Cross-Subject Human Activity Recognition
Deep learning-based human activity recognition (HAR) methods have shown ...
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03/18/2023
A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models
GPT series models, such as GPT-3, CodeX, InstructGPT, ChatGPT, and so on...
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03/17/2023
IRGen: Generative Modeling for Image Retrieval
While generative modeling has been ubiquitous in natural language proces...
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03/15/2023
UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation
Large Language Models (LLMs) are popular for their impressive abilities,...
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03/08/2023
Change a Bit to save Bytes: Compression for Floating Point Time-Series Data
The number of IoT devices is expected to continue its dramatic growth in...
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03/08/2023
A Message Passing Perspective on Learning Dynamics of Contrastive Learning
In recent years, contrastive learning achieves impressive results on sel...
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03/07/2023
Fairness-aware Maximal Biclique Enumeration on Bipartite Graphs
Maximal biclique enumeration is a fundamental problem in bipartite graph...
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03/03/2023
A Visual SLAM with Moving Object Trajectory Prediction
Visual Simultaneous Localization and Mapping (SLAM) has received signifi...
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03/01/2023
How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks
The GPT-3.5 models have demonstrated impressive performance in various N...
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02/28/2023
