Papers
Sat 4 May 2024
100 papers
- Reinforcement Learning-Based Model Matching in COBRA, a Slithering Snake RobotDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Guidance Design for Escape Flight Vehicle Using Evolution Strategy Enhanced Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- Linear Convergence of Independent Natural Policy Gradient in Games with Entropy RegularizationDeep reinforcement learning methods → Multi-agent reinforcement learning
- Implicit Safe Set Algorithm for Provably Safe Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
- Sub-goal Distillation: A Method to Improve Small Language AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Recall Them All: Retrieval-Augmented Language Models for Long Object List Extraction from Long DocumentsRetrieval-augmented generation → RAG pipeline design and evaluation
- U-DiTs: Downsample Tokens in U-Shaped Diffusion TransformersDiffusion models → Diffusion foundations and sampling
- Stable Diffusion Dataset Generation for Downstream Classification TasksDiffusion models → Diffusion foundations and sampling
- DiffuseTrace: A Transparent and Flexible Watermarking Scheme for Latent Diffusion ModelDiffusion models → Robustness, privacy and adversarial aspects +1
- Hand-Object Interaction Controller (HOIC): Deep Reinforcement Learning for Reconstructing Interactions with PhysicsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language ModelsRetrieval-augmented generation → Generation and context integration
- UDUC: An Uncertainty-driven Approach for Learning-based Robust ControlDeep reinforcement learning methods → RL theory and sample complexity
- Enhancing Vision-Language Models Generalization via Diversity-Driven Novel Feature SynthesisMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- PropertyGPT: LLM-driven Formal Verification of Smart Contracts through Retrieval-Augmented Property GenerationRetrieval-augmented generation → Privacy and security of RAG
- CTD4 -- A Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple CriticsDeep reinforcement learning methods → RL theory and sample complexity
- Off-OAB: Off-Policy Policy Gradient Method with Optimal Action-Dependent BaselineDeep reinforcement learning methods → RL theory and sample complexity
- Modern Information Technologies in Scientific Research and Educational Activities
- Woven Fabric Capture with a Reflection-Transmission Photo Pair
- Real-time Neural Woven Fabric Rendering
- Large Language Models estimate fine-grained human color-concept associations
- IQLS: Framework for leveraging Metadata to enable Large Language Model based queries to complex, versatile Data
- GAD: A Real-time Gait Anomaly Detection System with Online Adaptive Learning
- EDA Corpus: A Large Language Model Dataset for Enhanced Interaction with OpenROAD
- Open-SQL Framework: Enhancing Text-to-SQL on Open-source Large Language Models
- Overview of the EHRSQL 2024 Shared Task on Reliable Text-to-SQL Modeling on Electronic Health Records
- Iterative Filter Pruning for Concatenation-based CNN Architectures
- UniDEC : Unified Dual Encoder and Classifier Training for Extreme Multi-Label Classification
- Improve Cross-Modality Segmentation by Treating T1-Weighted MRI Images as Inverted CT Scans
- Your Network May Need to Be Rewritten: Network Adversarial Based on High-Dimensional Function Graph Decomposition
- MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning
- PhilHumans: Benchmarking Machine Learning for Personal Health
- Beyond Unimodal Learning: The Importance of Integrating Multiple Modalities for Lifelong Learning
- Has this Fact been Edited? Detecting Knowledge Edits in Language Models
- Assessing Adversarial Robustness of Large Language Models: An Empirical Study
- TK-Planes: Tiered K-Planes with High Dimensional Feature Vectors for Dynamic UAV-based Scenes
- Deep Image Restoration For Image Anti-Forensics
- Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding
- Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation
- Beyond Performance: Quantifying and Mitigating Label Bias in LLMs
- Relations Prediction for Knowledge Graph Completion using Large Language Models
- Systematic Review: Anomaly Detection in Connected and Autonomous Vehicles
- A Mathematical Model of the Hidden Feedback Loop Effect in Machine Learning Systems
- Taming Equilibrium Bias in Risk-Sensitive Multi-Agent Reinforcement Learning
- AFter: Attention-based Fusion Router for RGBT Tracking
- Beyond Relevance: Evaluate and Improve Retrievers on Perspective Awareness
- CoE-SQL: In-Context Learning for Multi-Turn Text-to-SQL with Chain-of-Editions
- The Role of AI in Peer Support for Young People: A Study of Preferences for Human- and AI-Generated Responses
- Enhancing News Summarization with ELearnFit through Efficient In-Context Learning and Efficient Fine-Tuning
- Unveiling Differences in Generative Models: A Scalable Differential Clustering Approach
- Diffeomorphic Transformer-based Abdomen MRI-CT Deformable Image Registration
- Semi-supervised Symmetric Non-negative Matrix Factorization with Low-Rank Tensor Representation
- Boosting 3D Neuron Segmentation with 2D Vision Transformer Pre-trained on Natural Images
- FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer
- Pr'evisions m'et'eorologiques bas'ees sur l'intelligence artificielle : une r'evolution peut en cacher une autre
- Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?
- Evaluating the Ability of Computationally Extracted Narrative Maps to Encode Media Framing
- Quranic Audio Dataset: Crowdsourced and Labeled Recitation from Non-Arabic Speakers
- On the Information Redundancy in Non-Autoregressive Translation
- From Generalization Analysis to Optimization Designs for State Space Models
- MedPromptExtract (Medical Data Extraction Tool): Anonymization and Hi-fidelity Automated data extraction using NLP and prompt engineering
- DDE-Find: Learning Delay Differential Equations from Noisy, Limited Data
- Enhancing Cooperation through Selective Interaction and Long-term Experiences in Multi-Agent Reinforcement Learning
- Isopignistic Canonical Decomposition via Belief Evolution Network
- Deep Pulse-Signal Magnification for remote Heart Rate Estimation in Compressed Videos
- Identifying Narrative Patterns and Outliers in Holocaust Testimonies Using Topic Modeling
- Generic Multi-modal Representation Learning for Network Traffic Analysis
- A Conformal Prediction Score that is Robust to Label Noise
- Interpretable Multi-View Clustering
- Machine Learning in Space: Surveying the Robustness of on-board ML models to Radiation
- PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds
- TREC iKAT 2023: A Test Collection for Evaluating Conversational and Interactive Knowledge Assistants
- Onboard Out-of-Calibration Detection of Deep Learning Models using Conformal Prediction
- Unsupervised machine learning for data-driven rock mass classification: addressing limitations in existing systems using drilling data
- Contrastive Dual-Interaction Graph Neural Network for Molecular Property Prediction
- Learning Linear Utility Functions From Pairwise Comparison Queries
- Advanced Equalization in 112 Gb/s Upstream PON Using a Novel Fourier Convolution-based Network
- UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model
- MEXGEN: An Effective and Efficient Information Gain Approximation for Information Gathering Path Planning
- Astro-NER -- Astronomy Named Entity Recognition: Is GPT a Good Domain Expert Annotator?
- Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning
- Vision-based 3D occupancy prediction in autonomous driving: a review and outlook
- Online Bandits with (Biased) Offline Data: Adaptive Learning under Distribution Mismatch
- Better YOLO with Attention-Augmented Network and Enhanced Generalization Performance for Safety Helmet Detection
- Explainable Interface for Human-Autonomy Teaming: A Survey
- Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacements
- Mixat: A Data Set of Bilingual Emirati-English Speech
- A Data Mining-Based Dynamical Anomaly Detection Method for Integrating with an Advance Metering System
- A Combination of BERT and Transformer for Vietnamese Spelling Correction
- ViTALS: Vision Transformer for Action Localization in Surgical Nephrectomy
- Decoupling Exploration and Exploitation for Unsupervised Pre-training with Successor Features
- Surface-Based Visibility-Guided Uncertainty for Continuous Active 3D Neural Reconstruction
- Probing Human Visual Robustness with Neurally-Guided Deep Neural Networks
- Deep Representation Learning-Based Dynamic Trajectory Phenotyping for Acute Respiratory Failure in Medical Intensive Care Units
- Understanding the Difficulty of Solving Cauchy Problems with PINNs
- A Framework for Human Evaluation of Large Language Models in Healthcare Derived from Literature Review
- Few-Shot Fruit Segmentation via Transfer Learning
- CNN-LSTM and Transfer Learning Models for Malware Classification based on Opcodes and API Calls
- Prediction of Space Weather Events through Analysis of Active Region Magnetograms using Convolutional Neural Network
- AdaFPP: Adapt-Focused Bi-Propagating Prototype Learning for Panoramic Activity Recognition
- A Multi-Domain Multi-Task Approach for Feature Selection from Bulk RNA Datasets