Papers
Mon 28 Aug 2023
223 papers
- Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- SynthDistill: Face Recognition with Knowledge Distillation from Synthetic DataKnowledge distillation → General knowledge distillation methods
- Fast Feedforward NetworksMixture-of-experts → Expert routing strategies
- Joint Multiple Intent Detection and Slot Filling with Supervised Contrastive Learning and Self-DistillationKnowledge distillation → Speech and audio distillation
- Priority-Centric Human Motion Generation in Discrete Latent SpaceDiffusion models → Video generation
- Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized StylizationDiffusion models → Inverse problems and image restoration
- Data-iterative Optimization Score Model for Stable Ultra-Sparse-View CT ReconstructionDiffusion models → Medical imaging and segmentation
- Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image ReconstructionDiffusion models → Medical imaging and segmentation
- CodeMark: Imperceptible Watermarking for Code Datasets against Neural Code Completion ModelsLLM safety and security → Watermarking generated content and models
- A Comprehensive Overview of Backdoor Attacks in Large Language Models within Communication NetworksLLM safety and security → Backdoor and data poisoning attacks
- InstructME: An Instruction Guided Music Edit And Remix Framework with Latent Diffusion ModelsDiffusion models → Audio, speech and music
- EdgeMoE: Empowering Sparse Large Language Models on Mobile DevicesMixture-of-experts → Efficient MoE training and inference systems
- DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local SmoothingDiffusion models → Robustness, privacy and adversarial aspects
- SSIL: Self-Supervised Imitation Learning for End-to-End DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- Machine Unlearning Methodology base on Stochastic Teacher NetworkLLM safety and security → Machine unlearning
- Voice Conversion with Denoising Diffusion Probabilistic GAN ModelsDiffusion models → Audio, speech and music
- RecMind: Large Language Model Powered Agent For RecommendationLLM agents and tool use → Agentic recommender systems
- Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object DetectionKnowledge distillation → Detection and dense prediction distillation
- HoloFusion: Towards Photo-realistic 3D Generative ModelingDiffusion models → 3D, point cloud and scene generation
- The Cultural Psychology of Large Language Models: Is ChatGPT a Holistic or Analytic Thinker?LLM reasoning → Reasoning benchmarks and evaluation
- Maneuver Decision-Making Through Proximal Policy Optimization And Monte Carlo Tree Search
- Do the Frankenstein, or how to achieve better out-of-distribution performance with manifold mixing model soup
- EpiDeNet: An Energy-Efficient Approach to Seizure Detection for Embedded Systems
- Entropy-based machine learning model for diagnosis and monitoring of Parkinson's Disease in smart IoT environment
- Assessing cognitive function among older adults using machine learning and wearable device data: a feasibility study
- PeptideBERT: A Language Model based on Transformers for Peptide Property Prediction
- Deep Learning and Bayesian inference for Inverse Problems
- Detecting Inactive Cyberwarriors from Online Forums
- Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences
- Noise-Free Sampling Algorithms via Regularized Wasserstein Proximals
- Transfusor: Transformer Diffusor for Controllable Human-like Generation of Vehicle Lane Changing Trajectories
- Entropy-based Guidance of Deep Neural Networks for Accelerated Convergence and Improved Performance
- AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation
- Application of Quantum Pre-Processing Filter for Binary Image Classification with Small Samples
- Maestro: Uncovering Low-Rank Structures via Trainable Decomposition
- Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data
- Optimal Economic Gas Turbine Dispatch with Deep Reinforcement Learning
- Automated Conversion of Music Videos into Lyric Videos
- Gender bias and stereotypes in Large Language Models
- Matbench Discovery -- A framework to evaluate machine learning crystal stability predictions
- On Reward Structures of Markov Decision Processes
- RecRec: Algorithmic Recourse for Recommender Systems
- Pruning Self-Attention for Zero-Shot Multi-Speaker Text-to-Speech
- BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition
- Neural approaches to spoken content embedding
- Maturity-Aware Active Learning for Semantic Segmentation with Hierarchically-Adaptive Sample Assessment
- MEMORY-VQ: Compression for Tractable Internet-Scale Memory
- Ad-Rec: Advanced Feature Interactions to Address Covariate-Shifts in Recommendation Networks
- BIT: Bi-Level Temporal Modeling for Efficient Supervised Action Segmentation
- RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in Object-centric Learning
- Proceedings 39th International Conference on Logic Programming
- Conformal Meta-learners for Predictive Inference of Individual Treatment Effects
- Multiscale Contextual Learning for Speech Emotion Recognition in Emergency Call Center Conversations
- When hard negative sampling meets supervised contrastive learning
- CommunityFish: A Poisson-based Document Scaling With Hierarchical Clustering
- NAS-X: Neural Adaptive Smoothing via Twisting
- Evaluation of Key Spatiotemporal Learners for Print Track Anomaly Classification Using Melt Pool Image Streams
- Attention Visualizer Package: Revealing Word Importance for Deeper Insight into Encoder-Only Transformer Models
- NSF: Neural Surface Fields for Human Modeling from Monocular Depth
- Trust in Construction AI-Powered Collaborative Robots: A Qualitative Empirical Analysis
- SMOClust: Synthetic Minority Oversampling based on Stream Clustering for Evolving Data Streams
- Robust Activity Recognition for Adaptive Worker-Robot Interaction using Transfer Learning
- Toward Optimized VR/AR Ergonomics: Modeling and Predicting User Neck Muscle Contraction
- Identifying and Mitigating the Security Risks of Generative AI
- Tackling Diverse Minorities in Imbalanced Classification
- The Interstate-24 3D Dataset: a new benchmark for 3D multi-camera vehicle tracking
- Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates
- CLNeRF: Continual Learning Meets NeRF
- Distributionally Robust Statistical Verification with Imprecise Neural Networks
- Scattering with Neural Operators
- A correlation-based fuzzy cluster validity index with secondary options detector
- Generating tabular datasets under differential privacy
- Distributed Dual Coordinate Ascent with Imbalanced Data on a General Tree Network
- Conflict-Aware Active Automata Learning (Extended Version)
- Systematic reduction of Hyperspectral Images for high-throughput Plastic Characterization
- XVir: A Transformer-Based Architecture for Identifying Viral Reads from Cancer Samples
- Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond
- AI Deception: A Survey of Examples, Risks, and Potential Solutions
- MagicEdit: High-Fidelity and Temporally Coherent Video Editing
- MagicAvatar: Multimodal Avatar Generation and Animation
- CoVR-2: Automatic Data Construction for Composed Video Retrieval
- Minimizing Quasi-Self-Concordant Functions by Gradient Regularization of Newton Method
- Total Selfie: Generating Full-Body Selfies
- Flexible Techniques for Differentiable Rendering with 3D Gaussians
- Bayesian artificial brain with ChatGPT
- Distilled GPT for Source Code Summarization
- PanoSwin: a Pano-style Swin Transformer for Panorama Understanding
- Hierarchical Time Series Forecasting with Bayesian Modeling
- R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras
- VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation
- Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning
- Assessing Trust in Construction AI-Powered Collaborative Robots using Structural Equation Modeling
- Hybrid PLS-ML Authentication Scheme for V2I Communication Networks
- MELT: Mining Effective Lightweight Transformations from Pull Requests
- 360-Degree Panorama Generation from Few Unregistered NFoV Images
- Fine-Tuning Llama 2 Large Language Models for Detecting Online Sexual Predatory Chats and Abusive Texts
- Video-Based Hand Pose Estimation for Remote Assessment of Bradykinesia in Parkinson's Disease
- ANER: Arabic and Arabizi Named Entity Recognition using Transformer-Based Approach
- Neural Network-Based Histologic Remission Prediction In Ulcerative Colitis
- RESTORE: Graph Embedding Assessment Through Reconstruction
All 223
- Adversarial Predictions of Data Distributions Across Federated Internet-of-Things Devices
- DeepHealthNet: Adolescent Obesity Prediction System Based on a Deep Learning Framework
- Learning Visual Tracking and Reaching with Deep Reinforcement Learning on a UR10e Robotic Arm
- Comparison of automated crater catalogs for Mars from Benedix et al. (2020) and Lee and Hogan (2021)
- Edge Generation Scheduling for DAG Tasks Using Deep Reinforcement Learning
- Human Comfortability Index Estimation in Industrial Human-Robot Collaboration Task
- Rate-Optimal Policy Optimization for Linear Markov Decision Processes
- Challenges of GPT-3-based Conversational Agents for Healthcare
- Breaking the Bank with ChatGPT: Few-Shot Text Classification for Finance
- Comparing AutoML and Deep Learning Methods for Condition Monitoring using Realistic Validation Scenarios
- VesselShot: Few-shot learning for cerebral blood vessel segmentation
- TRIVEA: Transparent Ranking Interpretation using Visual Explanation of Black-Box Algorithmic Rankers
- Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation
- VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams
- MS-Net: A Multi-modal Self-supervised Network for Fine-Grained Classification of Aircraft in SAR Images
- PolarRec: Radio Interferometric Data Reconstruction with Polar Coordinate Representation
- AI in the Gray: Exploring Moderation Policies in Dialogic Large Language Models vs. Human Answers in Controversial Topics
- On the Tradeoff between Privacy Preservation and Byzantine-Robustness in Decentralized Learning
- A Generalization of Continuous Relaxation in Structured Pruning
- SAM-PARSER: Fine-tuning SAM Efficiently by Parameter Space Reconstruction
- Recent Progress in Energy Management of Connected Hybrid Electric Vehicles Using Reinforcement Learning
- Fairness Through Domain Awareness: Mitigating Popularity Bias For Music Discovery
- S-TREK: Sequential Translation and Rotation Equivariant Keypoints for local feature extraction
- Adversarial Attacks on Foundational Vision Models
- LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration
- Neural Network Training Strategy to Enhance Anomaly Detection Performance: A Perspective on Reconstruction Loss Amplification
- Learning to Read Analog Gauges from Synthetic Data
- Referring Image Segmentation Using Text Supervision
- SAAN: Similarity-aware attention flow network for change detection with VHR remote sensing images
- Kernel Limit for a Class of Recurrent Neural Networks Trained on Ergodic Data Sequences
- Face Presentation Attack Detection by Excavating Causal Clues and Adapting Embedding Statistics
- ReMAV: Reward Modeling of Autonomous Vehicles for Finding Likely Failure Events
- Deep graphical regression for jointly moderate and extreme Australian wildfires
- Spoken Language Intelligence of Large Language Models for Language Learning
- A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER
- Semi-Supervised Learning for Visual Bird's Eye View Semantic Segmentation
- Deep Reinforcement Learning for Uplink Scheduling in NOMA-URLLC Networks
- Graph Meets LLMs: Towards Large Graph Models
- Context-Aware Composition of Agent Policies by Markov Decision Process Entity Embeddings and Agent Ensembles
- Prediction of Tourism Flow with Sparse Geolocation Data
- LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
- Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing
- LAC: Latent Action Composition for Skeleton-based Action Segmentation
- PointHPS: Cascaded 3D Human Pose and Shape Estimation from Point Clouds
- Rebalancing Social Feed to Minimize Polarization and Disagreement
- Multimodal Detection of Bots on X (Twitter) using Transformers
- An Empirical Study of Consistency Regularization for End-to-End Speech-to-Text Translation
- Group Regression for Query Based Object Detection and Tracking
- Some issues in robust clustering
- Medical needle tip tracking based on Optical Imaging and AI
- Interactive Multi Interest Process Pattern Discovery
- Causality-Based Feature Importance Quantifying Methods: PN-FI, PS-FI and PNS-FI
- Improving the performance of object detection by preserving label distribution
- Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy
- Speech Self-Supervised Representations Benchmarking: a Case for Larger Probing Heads
- ExpCLIP: Bridging Text and Facial Expressions via Semantic Alignment
- Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA
- Using ChatGPT as a Static Application Security Testing Tool
- TextrolSpeech: A Text Style Control Speech Corpus With Codec Language Text-to-Speech Models
- Biomedical Entity Linking with Triple-aware Pre-Training
- Shielded Reinforcement Learning for Hybrid Systems
- GADePo: Graph-Assisted Declarative Pooling Transformers for Document-Level Relation Extraction
- Graph-based Asynchronous Event Processing for Rapid Object Recognition
- Multi-Scale and Multi-Layer Contrastive Learning for Domain Generalization
- INF: Implicit Neural Fusion for LiDAR and Camera
- Task-Aware Machine Unlearning and Its Application in Load Forecasting
- Identifying topology of leaky photonic lattices with machine learning
- Semi-Supervised Semantic Depth Estimation using Symbiotic Transformer and NearFarMix Augmentation
- Ensemble of Anchor-Free Models for Robust Bangla Document Layout Segmentation
- UMMAFormer: A Universal Multimodal-adaptive Transformer Framework for Temporal Forgery Localization
- 1st Place Solution for the 5th LSVOS Challenge: Video Instance Segmentation
- FIRE: Food Image to REcipe generation
- ASCAPE: An open AI ecosystem to support the quality of life of cancer patients
- Biclustering Methods via Sparse Penalty
- Multi-Modal Neural Radiance Field for Monocular Dense SLAM with a Light-Weight ToF Sensor
- Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities
- GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition
- Meta Attentive Graph Convolutional Recurrent Network for Traffic Forecasting
- Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection?
- Online Continual Learning on Hierarchical Label Expansion
- SuperUDF: Self-supervised UDF Estimation for Surface Reconstruction
- Model-based learning for location-to-channel mapping
- Improving Lesion Volume Measurements on Digital Mammograms
- Target-independent XLA optimization using Reinforcement Learning
- Mobile Foundation Model as Firmware
- Effect of Attention and Self-Supervised Speech Embeddings on Non-Semantic Speech Tasks
- TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems
- ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models
- Simple Modification of the Upper Confidence Bound Algorithm by Generalized Weighted Averages
- Label-free Deep Learning Driven Secure Access Selection in Space-Air-Ground Integrated Networks
- DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation
- Buy when? Survival machine learning model comparison for purchase timing
- HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks
- Fair Few-shot Learning with Auxiliary Sets
- Cognitive Effects in Large Language Models
- Improved learning theory for kernel distribution regression with two-stage sampling
- MetaWeather: Few-Shot Weather-Degraded Image Restoration
- Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency Transfer
- Reinforcement Learning for Generative AI: A Survey
- Towards solving ontological dissonance using network graphs
- CPFES: Physical Fitness Evaluation Based on Canadian Agility and Movement Skill Assessment
- Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study
- UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory
- Local-Global Pseudo-label Correction for Source-free Domain Adaptive Medical Image Segmentation
- Spread Control Method on Unknown Networks Based on Hierarchical Reinforcement Learning
- Policy Diversity for Cooperative Agents
- Evaluating the Robustness to Instructions of Large Language Models
- Solving Attention Kernel Regression Problem via Pre-conditioner
- Artificial Intelligence in Career Counseling: A Test Case with ResumAI
- Direct initial orbit determination
- Traffic Light Control with Reinforcement Learning
- Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning
- FonMTL: Towards Multitask Learning for the Fon Language
- Goodhart's Law Applies to NLP's Explanation Benchmarks
- Utilizing Mood-Inducing Background Music in Human-Robot Interaction
- Unleash Model Potential: Bootstrapped Meta Self-supervised Learning
- SalesBot 2.0: A Human-Like Intent-Guided Chit-Chat Dataset
- Breaking Boundaries: Distributed Domain Decomposition with Scalable Physics-Informed Neural PDE Solvers
- FaceChain: A Playground for Human-centric Artificial Intelligence Generated Content
- The Promise and Peril of Artificial Intelligence -- Violet Teaming Offers a Balanced Path Forward
- Rule-Based Error Detection and Correction to Operationalize Movement Trajectory Classification
- A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study
- Quantum Next Generation Reservoir Computing: An Efficient Quantum Algorithm for Forecasting Quantum Dynamics