Papers
Sat 27 Jan 2024
106 papers
- ProtAgents: Protein discovery via large language model multi-agent collaborations combining physics and machine learningLLM agents and tool use → Medical and scientific domain agents
- Distilling Privileged Multimodal Information for Expression Recognition using Optimal TransportKnowledge distillation → Multimodal distillation
- R×R: Rapid eXploration for Reinforcement Learning via Sampling-based Reset Distributions and Imitation Pre-trainingDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Social Interpretable Reinforcement LearningDeep reinforcement learning methods → Interpretable and logic-guided RL
- Wind speed super-resolution and validation: from ERA5 to CERRA via diffusion modelsDiffusion models → Flow matching, time series and science
- A Survey on Data Augmentation in Large Model EraDiffusion models → Image generation, text-to-image and editing
- MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop QueriesRetrieval-augmented generation → RAG pipeline design and evaluation
- Face to Cartoon Incremental Super-Resolution using Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Equipping Language Models with Tool Use Capability for Tabular Data Analysis in FinanceLLM reasoning → Reasoning for agents, planning and code
- Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- GEM: Boost Simple Network for Glass Surface Segmentation via Segment Anything Model and Data SynthesisDiffusion models → Medical imaging and segmentation
- Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language ModelsLLM reasoning → Clinical and biomedical applications +1
- Subject-Independent Deep Architecture for EEG-based Motor Imagery Classification
- Managing Household Waste through Transfer Learning
- Hardware Phi-1.5B: A Large Language Model Encodes Hardware Domain Specific Knowledge
- Prompting Diverse Ideas: Increasing AI Idea Variance
- AI Does Not Alter Perceptions of Text Messages
- Fortifying Ethical Boundaries in AI: Advanced Strategies for Enhancing Security in Large Language Models
- CERM: Context-aware Literature-based Discovery via Sentiment Analysis
- An Empirical Study on Large Language Models in Accuracy and Robustness under Chinese Industrial Scenarios
- Enhancing Large Language Model Performance To Answer Questions and Extract Information More Accurately
- Sigma-lognormal modeling of speech
- Evaluating Deep Networks for Detecting User Familiarity with VR from Hand Interactions
- FaKnow: A Unified Library for Fake News Detection
- Beyond Eviction Prediction: Leveraging Local Spatiotemporal Public Records to Inform Action
- Distribution-Specific Auditing For Subgroup Fairness
- Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy
- Oracle-Efficient Hybrid Online Learning with Unknown Distribution
- MiTU-Net: A fine-tuned U-Net with SegFormer backbone for segmenting pubic symphysis-fetal head
- Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection
- Proto-MPC: An Encoder-Prototype-Decoder Approach for Quadrotor Control in Challenging Winds
- Differentially private Bayesian tests
- FloodLense: A Framework for ChatGPT-based Real-time Flood Detection
- Data-Driven Estimation of the False Positive Rate of the Bayes Binary Classifier via Soft Labels
- Semantic Properties of cosine based bias scores for word embeddings
- Do We Need Language-Specific Fact-Checking Models? The Case of Chinese
- Baichuan2-Sum: Instruction Finetune Baichuan2-7B Model for Dialogue Summarization
- Artificial Intelligence: Arguments for Catastrophic Risk
- Unsupervised Solution Operator Learning for Mean-Field Games via Sampling-Invariant Parametrizations
- Navigating the Post-API Dilemma | Search Engine Results Pages Present a Biased View of Social Media Data
- Product Manifold Representations for Learning on Biological Pathways
- To Burst or Not to Burst: Generating and Quantifying Improbable Text
- iDeLog: Iterative Dual Spatial and Kinematic Extraction of Sigma-Lognormal Parameters
- Temporal evolution in synthetic handwriting
- ConvoSense: Overcoming Monotonous Commonsense Inferences for Conversational AI
- DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure
- A New Method for Vehicle Logo Recognition Based on Swin Transformer
- New Foggy Object Detecting Model
- Learning to Trust Your Feelings: Leveraging Self-awareness in LLMs for Hallucination Mitigation
- A Systematic Review of Available Datasets in Additive Manufacturing
- Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing
- Towards Causal Classification: A Comprehensive Study on Graph Neural Networks
- DiffuserLite: Towards Real-time Diffusion Planning
- Pre-training and Diagnosing Knowledge Base Completion Models
- Decentralized Gossip Mutual Learning (GML) for brain tumor segmentation on multi-parametric MRI
- Fault Diagnosis on Induction Motor using Machine Learning and Signal Processing
- An Implicit Physical Face Model Driven by Expression and Style
- Indexing Portuguese NLP Resources with PT-Pump-Up
- Semantics of Multiword Expressions in Transformer-Based Models: A Survey
- A microservice architecture for real-time IoT data processing: A reusable Web of things approach for smart ports
- Towards Event Extraction from Speech with Contextual Clues
- Open-RadVLAD: Fast and Robust Radar Place Recognition
- Improving LLM Reliability with RAG in Religious Question-Answering: MufassirQAS
- Validation of artificial neural networks to model the acoustic behaviour of induction motors
- LegalDuet: Learning Fine-grained Representations for Legal Judgment Prediction via a Dual-View Contrastive Learning
- An open dataset for oracle bone script recognition and decipherment
- Transformer-based Clipped Contrastive Quantization Learning for Unsupervised Image Retrieval
- Importance-Aware Data Augmentation for Document-Level Neural Machine Translation
- A Decision Theoretic Framework for Measuring AI Reliance
- DeepGI: An Automated Approach for Gastrointestinal Tract Segmentation in MRI Scans
- A Survey on Neural Topic Models: Methods, Applications, and Challenges
- AniDress: Animatable Loose-Dressed Avatar from Sparse Views Using Garment Rigging Model
- A Comprehensive Survey of Compression Algorithms for Language Models
- Deep Learning with Information Fusion and Model Interpretation for Health Monitoring of Fetus based on Long-term Prenatal Electronic Fetal Heart Rate Monitoring Data
- L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks
- Optimal Sparse Survival Trees
- Neutrino Reconstruction in TRIDENT Based on Graph Neural Network
- Music Auto-Tagging with Robust Music Representation Learned via Domain Adversarial Training
- Localization of Dummy Data Injection Attacks in Power Systems Considering Incomplete Topological Information: A Spatio-Temporal Graph Wavelet Convolutional Neural Network Approach
- You Only Look Bottom-Up for Monocular 3D Object Detection
- Gaussian Splashing: Unified Particles for Versatile Motion Synthesis and Rendering
- UNSEE: Unsupervised Non-contrastive Sentence Embeddings
- Multi-Robot Relative Pose Estimation in SE(2) with Observability Analysis: A Comparison of Extended Kalman Filtering and Robust Pose Graph Optimization
- How We Refute Claims: Automatic Fact-Checking through Flaw Identification and Explanation
- ParaTransCNN: Parallelized TransCNN Encoder for Medical Image Segmentation
- A Practical Probabilistic Benchmark for AI Weather Models
- Adaptive Least Mean Squares Graph Neural Networks and Online Graph Signal Estimation
- SupplyGraph: A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks
- A Survey on 3D Skeleton Based Person Re-Identification: Taxonomy, Advances, Challenges, and Interdisciplinary Prospects
- Shortcuts Everywhere and Nowhere: Exploring Multi-Trigger Backdoor Attacks
- Integral Operator Approaches for Scattered Data Fitting on Spheres
- SkipViT: Speeding Up Vision Transformers with a Token-Level Skip Connection
- Adaptive Block Sparse Regularization under Arbitrary Linear Transform
- Benchmarking with MIMIC-IV, an irregular, spare clinical time series dataset
- STAC: Leveraging Spatio-Temporal Data Associations For Efficient Cross-Camera Streaming and Analytics
- Applications of Tao General Difference in Discrete Domain
- Ransomware threat mitigation through network traffic analysis and machine learning techniques
- Beyond principlism: Practical strategies for ethical AI use in research practices
- Dynamic Transformer Architecture for Continual Learning of Multimodal Tasks
All 106
- SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models
- Towards Stable Preferences for Stakeholder-aligned Machine Learning
- SAM-based instance segmentation models for the automation of structural damage detection
- Asymptotic Behavior of Adversarial Training Estimator under ℓ_∞-Perturbation
- Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes
- Finite Sample Confidence Regions for Linear Regression Parameters Using Arbitrary Predictors