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09/21/2023
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Large language models (LLMs) have pushed the limits of natural language ...
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09/21/2023
Fully Transformer-Equipped Architecture for End-to-End Referring Video Object Segmentation
Referring Video Object Segmentation (RVOS) requires segmenting the objec...
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09/21/2023
Efficient Long-Short Temporal Attention Network for Unsupervised Video Object Segmentation
Unsupervised Video Object Segmentation (VOS) aims at identifying the con...
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09/19/2023
Multimodal Modeling For Spoken Language Identification
Spoken language identification refers to the task of automatically predi...
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09/16/2023
Learning a Stable Dynamic System with a Lyapunov Energy Function for Demonstratives Using Neural Networks
Autonomous Dynamic System (DS)-based algorithms hold a pivotal and found...
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09/14/2023
USM-SCD: Multilingual Speaker Change Detection Based on Large Pretrained Foundation Models
We introduce a multilingual speaker change detection model (USM-SCD) tha...
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09/04/2023
StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation
We introduce a novel training strategy for stereo matching and optical f...
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09/03/2023
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
While large language models (LLMs) have demonstrated remarkable capabili...
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08/30/2023
OldVisOnline: Curating a Dataset of Historical Visualizations
With the increasing adoption of digitization, more and more historical v...
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08/30/2023
Occlusion-Aware Detection and Re-ID Calibrated Network for Multi-Object Tracking
Multi-Object Tracking (MOT) is a crucial computer vision task that aims ...
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08/23/2023
A Scale-Invariant Task Balancing Approach for Multi-Task Learning
Multi-task learning (MTL), a learning paradigm to learn multiple related...
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08/16/2023
High-Fidelity Lake Extraction via Two-Stage Prompt Enhancement: Establishing a Novel Baseline and Benchmark
The extraction of lakes from remote sensing images is a complex challeng...
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08/15/2023
Forward-Backward Reasoning in Large Language Models for Verification
Chain-of-Though (CoT) prompting has shown promising performance in vario...
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08/08/2023
DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite Images
Optical satellite images are a critical data source; however, cloud cove...
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08/08/2023
LEFormer: A Hybrid CNN-Transformer Architecture for Accurate Lake Extraction from Remote Sensing Imagery
Lake extraction from remote sensing imagery is challenging due to the co...
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08/02/2023
Decomposing and Coupling Saliency Map for Lesion Segmentation in Ultrasound Images
Complex scenario of ultrasound image, in which adjacent tissues (i.e., b...
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07/27/2023
MATNilm: Multi-appliance-task Non-intrusive Load Monitoring with Limited Labeled Data
Non-intrusive load monitoring (NILM) identifies the status and power con...
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07/25/2023
A Dual-mode Local Search Algorithm for Solving the Minimum Dominating Set Problem
Given a graph, the minimum dominating set (MinDS) problem is to identify...
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07/20/2023
"It Felt Like Having a Second Mind": Investigating Human-AI Co-creativity in Prewriting with Large Language Models
Prewriting is the process of discovering and developing ideas before a f...
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06/24/2023
Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers
Instead of relying on human-annotated training samples to build a classi...
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06/22/2023
AudioPaLM: A Large Language Model That Can Speak and Listen
We introduce AudioPaLM, a large language model for speech understanding ...
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06/22/2023
FlowFace++: Explicit Semantic Flow-supervised End-to-End Face Swapping
This work proposes a novel face-swapping framework FlowFace++, utilizing...
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06/20/2023
Learning Variable Impedance Skills from Demonstrations with Passivity Guarantee
Robots are increasingly being deployed not only in workplaces but also i...
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06/13/2023
Efficient Adapters for Giant Speech Models
Large pre-trained speech models are widely used as the de-facto paradigm...
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06/13/2023
PersonaPKT: Building Personalized Dialogue Agents via Parameter-efficient Knowledge Transfer
Personalized dialogue agents (DAs) powered by large pre-trained language...
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06/07/2023
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation
Few-shot question answering (QA) aims at precisely discovering answers t...
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06/06/2023
COPR: Consistency-Oriented Pre-Ranking for Online Advertising
Cascading architecture has been widely adopted in large-scale advertisin...
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06/02/2023
Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection
LiDAR and Radar are two complementary sensing approaches in that LiDAR s...
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06/01/2023
Explanation Graph Generation via Generative Pre-training over Synthetic Graphs
The generation of explanation graphs is a significant task that aims to ...
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06/01/2023
Effective Structured Prompting by Meta-Learning and Representative Verbalizer
Prompt tuning for pre-trained masked language models (MLM) has shown pro...
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06/01/2023
How to Estimate Model Transferability of Pre-Trained Speech Models?
In this work, we introduce a “score-based assessment” framework for esti...
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05/30/2023
LibriTTS-R: A Restored Multi-Speaker Text-to-Speech Corpus
This paper introduces a new speech dataset called “LibriTTS-R” designed ...
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05/25/2023
Mixture-of-Expert Conformer for Streaming Multilingual ASR
End-to-end models with large capacity have significantly improved multil...
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05/23/2023
Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding
Scientific literature understanding tasks have gained significant attent...
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05/22/2023
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach
Conversion rate (CVR) prediction is one of the core components in online...
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05/20/2023
Patton: Language Model Pretraining on Text-Rich Networks
A real-world text corpus sometimes comprises not only text documents but...
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05/13/2023
Temporal Consistent Automatic Video Colorization via Semantic Correspondence
Video colorization task has recently attracted wide attention. Recent me...
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05/10/2023
A Self-Training Framework Based on Multi-Scale Attention Fusion for Weakly Supervised Semantic Segmentation
Weakly supervised semantic segmentation (WSSS) based on image-level labe...
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05/08/2023
A Unifying Framework of Attention-based Neural Load Forecasting
Accurate load forecasting is critical for reliable and efficient plannin...
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05/04/2023
Chain-of-Skills: A Configurable Model for Open-domain Question Answering
The retrieval model is an indispensable component for real-world knowled...
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05/03/2023
Transforming Visual Scene Graphs to Image Captions
We propose to Transform Scene Graphs (TSG) into more descriptive caption...
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04/28/2023
An Adaptive Policy to Employ Sharpness-Aware Minimization
Sharpness-aware minimization (SAM), which searches for flat minima by mi...
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04/27/2023
Understanding Shared Speech-Text Representations
Recently, a number of approaches to train speech models by incorpo-ratin...
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04/25/2023
Detection of Pavement Cracks by Deep Learning Models of Transformer and UNet
Fracture is one of the main failure modes of engineering structures such...
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04/20/2023
Mastering Asymmetrical Multiplayer Game with Multi-Agent Asymmetric-Evolution Reinforcement Learning
Asymmetrical multiplayer (AMP) game is a popular game genre which involv...
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04/16/2023
Handling Heavy Occlusion in Dense Crowd Tracking by Focusing on the Heads
With the rapid development of deep learning, object detection and tracki...
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04/13/2023
SPColor: Semantic Prior Guided Exemplar-based Image Colorization
Exemplar-based image colorization aims to colorize a target grayscale im...
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04/11/2023
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference
We propose Conditional Adapter (CoDA), a parameter-efficient transfer le...
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04/06/2023
A Fast and Lightweight Network for Low-Light Image Enhancement
Low-light images often suffer from severe noise, low brightness, low con...
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04/04/2023