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09/21/2023
Leveraging In-the-Wild Data for Effective Self-Supervised Pretraining in Speaker Recognition
Current speaker recognition systems primarily rely on supervised approac...
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09/19/2023
Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling
Recommender systems are essential for online applications, and sequentia...
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09/15/2023
FedJudge: Federated Legal Large Language Model
Large Language Models (LLMs) have gained prominence in the field of Lega...
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09/08/2023
Beyond Static Datasets: A Deep Interaction Approach to LLM Evaluation
Large Language Models (LLMs) have made progress in various real-world ta...
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09/05/2023
Decomposed Guided Dynamic Filters for Efficient RGB-Guided Depth Completion
RGB-guided depth completion aims at predicting dense depth maps from spa...
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09/01/2023
Asymmetric double-winged multi-view clustering network for exploring Diverse and Consistent Information
In unsupervised scenarios, deep contrastive multi-view clustering (DCMVC...
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09/01/2023
Identifiable Cognitive Diagnosis with Encoder-decoder for Modelling Students' Performance
Cognitive diagnosis aims to diagnose students' knowledge proficiencies b...
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08/20/2023
Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures
Crohn's disease (CD) is a chronic and relapsing inflammatory condition t...
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08/11/2023
Deep Context Interest Network for Click-Through Rate Prediction
Click-Through Rate (CTR) prediction, estimating the probability of a use...
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08/11/2023
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation
Neural-based multi-task learning (MTL) has gained significant improvemen...
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08/07/2023
The Compatibility between the Pangu Weather Forecasting Model and Meteorological Operational Data
Recently, multiple data-driven models based on machine learning for weat...
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07/31/2023
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities
The advent of large language models marks a revolutionary breakthrough i...
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07/22/2023
FinPT: Financial Risk Prediction with Profile Tuning on Pretrained Foundation Models
Financial risk prediction plays a crucial role in the financial sector. ...
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07/18/2023
UniTabE: Pretraining a Unified Tabular Encoder for Heterogeneous Tabular Data
Recent advancements in Natural Language Processing (NLP) have witnessed ...
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07/14/2023
Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms
Machine learning algorithms have become ubiquitous in a number of applic...
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07/13/2023
NS4AR: A new, focused on sampling areas sampling method in graphical recommendation Systems
The effectiveness of graphical recommender system depends on the quantit...
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07/03/2023
Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images
Many anomaly detection approaches, especially deep learning methods, hav...
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06/21/2023
Mean square exponential stability of numerical methods for stochastic differential delay equations
Mean square exponential stability of θ-EM and modified truncated Euler-M...
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06/20/2023
A Systematic Survey in Geometric Deep Learning for Structure-based Drug Design
Structure-based drug design (SBDD), which utilizes the three-dimensional...
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06/18/2023
Efficiently Measuring the Cognitive Ability of LLMs: An Adaptive Testing Perspective
Large language models (LLMs), like ChatGPT, have shown some human-like c...
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06/14/2023
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation
Zero-Shot Learning (ZSL), which aims at automatically recognizing unseen...
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06/12/2023
MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer
Unsupervised text style transfer task aims to rewrite a text into target...
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06/08/2023
Multi-task Bioassay Pre-training for Protein-ligand Binding Affinity Prediction
Protein-ligand binding affinity (PLBA) prediction is the fundamental tas...
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06/07/2023
M^3IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning
Instruction tuning has significantly advanced large language models (LLM...
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05/31/2023
A Survey on Large Language Models for Recommendation
Large Language Models (LLMs) have emerged as powerful tools in the field...
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05/29/2023
Large Language Models are not Fair Evaluators
We uncover a systematic bias in the evaluation paradigm of adopting larg...
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05/24/2023
InterFormer: Interactive Local and Global Features Fusion for Automatic Speech Recognition
The local and global features are both essential for automatic speech re...
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05/23/2023
Can Language Models Understand Physical Concepts?
Language models (LMs) gradually become general-purpose interfaces in the...
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05/23/2023
Rethinking Speech Recognition with A Multimodal Perspective via Acoustic and Semantic Cooperative Decoding
Attention-based encoder-decoder (AED) models have shown impressive perfo...
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05/22/2023
Interactive Natural Language Processing
Interactive Natural Language Processing (iNLP) has emerged as a novel pa...
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05/22/2023
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design
Generating molecules with high binding affinities to target proteins (a....
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05/15/2023
NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape Estimation
With the progress of 3D human pose and shape estimation, state-of-the-ar...
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05/07/2023
A generalized network level disruption strategy selection model for urban public transport systems
A fast recovery from disruptions is of vital importance for the reliabil...
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04/18/2023
TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models
Data augmentation has been established as an efficacious approach to sup...
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04/05/2023
Quiz-based Knowledge Tracing
Knowledge tracing (KT) aims to assess individuals' evolving knowledge st...
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04/01/2023
Cross-scale Multi-instance Learning for Pathological Image Diagnosis
Analyzing high resolution whole slide images (WSIs) with regard to infor...
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03/25/2023
Two Heads are Better than One: A Bio-inspired Method for Improving Classification on EEG-ET Data
Classifying EEG data is integral to the performance of Brain Computer In...
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03/13/2023
Backdoor Defense via Deconfounded Representation Learning
Deep neural networks (DNNs) are recently shown to be vulnerable to backd...
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02/24/2023
Retrieved Sequence Augmentation for Protein Representation Learning
Protein language models have excelled in a variety of tasks, ranging fro...
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02/20/2023
Deep Vision in Analysis and Recognition of Radar Data: Achievements, Advancements and Challenges
Radars are widely used to obtain echo information for effective predicti...
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02/20/2023
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification
Deep learning-based algorithms, e.g., convolutional networks, have signi...
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02/16/2023
Search-Engine-augmented Dialogue Response Generation with Cheaply Supervised Query Production
Knowledge-aided dialogue response generation aims at augmenting chatbots...
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02/11/2023
Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning
Mathematical reasoning is one of the crucial abilities of general artifi...
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02/10/2023
ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification
Physiological signals are high-dimensional time series of great practica...
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02/09/2023
A Novel Approach for Auto-Formulation of Optimization Problems
In the Natural Language for Optimization (NL4Opt) NeurIPS 2022 competiti...
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12/11/2022
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense
Federated recommendation (FedRec) can train personalized recommenders wi...
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11/30/2022
Progressive Knowledge Transfer Based on Human Visual Perception Mechanism for Perceptual Quality Assessment of Point Clouds
With the wide applications of colored point cloud in many fields, point ...
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11/09/2022
Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF
Recognizing useful named entities plays a vital role in medical informat...
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11/06/2022
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges
Proper functioning of connected and automated vehicles (CAVs) is crucial...
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11/05/2022