mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 14 Apr 2023

176 papers

  1. API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMsLLM agents and tool use → Tool learning and function calling
  2. A Platform-Agnostic Deep Reinforcement Learning Framework for Effective Sim2Real Transfer towards Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
  3. PTW: Pivotal Tuning Watermarking for Pre-Trained Image GeneratorsLLM safety and security → Watermarking generated content and models
  4. OpenAssistant Conversations -- Democratizing Large Language Model AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  5. Synthetically Generating Human-like Data for Sequential Decision Making Tasks via Reward-Shaped Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
  6. Minimax-Optimal Reward-Agnostic Exploration in Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  7. Towards Controllable Diffusion Models via Reward-Guided ExplorationDiffusion models → Diffusion and flow policies for robotics
  8. The role of object-centric representations, guided attention, and external memory on generalizing visual relationsLLM reasoning → Multimodal reasoning
  9. Memory Efficient Diffusion Probabilistic Models via Patch-based GenerationDiffusion models → Diffusion foundations and sampling
  10. DCFace: Synthetic Face Generation with Dual Condition Diffusion ModelDiffusion models → Image generation, text-to-image and editing
  11. A Diffusion model for POI recommendationDiffusion models → Diffusion recommenders
  12. Prompt Engineering and Calibration for Zero-Shot Commonsense ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
  13. How well do SOTA legal reasoning models support abductive reasoning?LLM reasoning → Reasoning for agents, planning and code
  14. Elastic Federated Learning over Open Radio Access Network (O-RAN) for Concurrent Execution of Multiple Distributed Learning Tasks
  15. Symmetry and Complexity in Object-Centric Deep Active Inference Models
  16. Feature-Based Generalized Gaussian Distribution Method for NLoS Detection in Ultra-Wideband (UWB) Indoor Positioning System
  17. Novel Fine-Tuned Attribute Weighted Na"ive Bayes NLoS Classifier for UWB Positioning
  18. End-User Development for Artificial Intelligence: A Systematic Literature Review
  19. The Future of ChatGPT-enabled Labor Market: A Preliminary Study in China
  20. Skeleton-based action analysis for ADHD diagnosis
  21. Real-Time Helmet Violation Detection Using YOLOv5 and Ensemble Learning
  22. ChatGPT: Applications, Opportunities, and Threats
  23. Real Time Bearing Fault Diagnosis Based on Convolutional Neural Network and STM32 Microcontroller
  24. Novel features for the detection of bearing faults in railway vehicles
  25. MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data
  26. Stochastic Code Generation
  27. The Deep Latent Position Topic Model for Clustering and Representation of Networks with Textual Edges
  28. KS-GNNExplainer: Global Model Interpretation Through Instance Explanations On Histopathology images
  29. RF-GNN: Random Forest Boosted Graph Neural Network for Social Bot Detection
  30. Masked Pre-Training of Transformers for Histology Image Analysis
  31. Identity Encoder for Personalized Diffusion
  32. CoPR: Towards Accurate Visual Localization With Continuous Place-descriptor Regression
  33. Efficient Quality-Diversity Optimization through Diverse Quality Species
  34. Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition
  35. Text-Conditional Contextualized Avatars For Zero-Shot Personalization
  36. Fairness in Visual Clustering: A Novel Transformer Clustering Approach
  37. Repeated Principal-Agent Games with Unobserved Agent Rewards and Perfect-Knowledge Agents
  38. Bayesian Inference on Brain-Computer Interfaces via GLASS
  39. Improving Patient Pre-screening for Clinical Trials: Assisting Physicians with Large Language Models
  40. Investigation of ensemble methods for the detection of deepfake face manipulations
  41. Revenue Management without Demand Forecasting: A Data-Driven Approach for Bid Price Generation
  42. Shape of You: Precise 3D shape estimations for diverse body types
  43. Zero-Shot Multi-Label Topic Inference with Sentence Encoders
  44. Continual Source-Free Unsupervised Domain Adaptation
  45. CoMaL: Conditional Maximum Likelihood Approach to Self-supervised Domain Adaptation in Long-tail Semantic Segmentation
  46. The END: An Equivariant Neural Decoder for Quantum Error Correction
  47. Combining Generators of Adversarial Malware Examples to Increase Evasion Rate
  48. Exact Subspace Diffusion for Decentralized Multitask Learning
  49. NEV-NCD: Negative Learning, Entropy, and Variance regularization based novel action categories discovery
  50. Differential geometry with extreme eigenvalues in the positive semidefinite cone
  51. Photon Field Networks for Dynamic Real-Time Volumetric Global Illumination
  52. Learning to Learn Group Alignment: A Self-Tuning Credo Framework with Multiagent Teams
  53. HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs
  54. The Self-Perception and Political Biases of ChatGPT
  55. Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation
  56. M2T: Masking Transformers Twice for Faster Decoding
  57. Federated and distributed learning applications for electronic health records and structured medical data: A scoping review
  58. Airborne Sound Analysis for the Detection of Bearing Faults in Railway Vehicles with Real-World Data
  59. Learning to Defer with Limited Expert Predictions
  60. 1-D Residual Convolutional Neural Network coupled with Data Augmentation and Regularization for the ICPHM 2023 Data Challenge
  61. Explaining, Analyzing, and Probing Representations of Self-Supervised Learning Models for Sensor-based Human Activity Recognition
  62. Smart Metro: Deep Learning Approaches to Forecasting the MRT Line 3 Ridership
  63. HGWaveNet: A Hyperbolic Graph Neural Network for Temporal Link Prediction
  64. Cross-Entropy Loss Functions: Theoretical Analysis and Applications
  65. CAD-RADS scoring of coronary CT angiography with Multi-Axis Vision Transformer: a clinically-inspired deep learning pipeline
  66. Phantom Embeddings: Using Embedding Space for Model Regularization in Deep Neural Networks
  67. Frequency Decomposition to Tap the Potential of Single Domain for Generalization
  68. Learn What Is Possible, Then Choose What Is Best: Disentangling One-To-Many Relations in Language Through Text-based Games
  69. Directly Optimizing IoU for Bounding Box Localization
  70. Fusing Structure from Motion and Simulation-Augmented Pose Regression from Optical Flow for Challenging Indoor Environments
  71. The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset
  72. The R-mAtrIx Net
  73. Machine Learning-Based Multi-Objective Design Exploration Of Flexible Disc Elements
  74. Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph
  75. Mapping of attention mechanisms to a generalized Potts model
  76. PARFormer: Transformer-based Multi-Task Network for Pedestrian Attribute Recognition
  77. Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models
  78. Model Predictive Control with Self-supervised Representation Learning
  79. Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar
  80. On the convergence of nonlinear averaging dynamics with three-body interactions on hypergraphs
  81. EV-Catcher: High-Speed Object Catching Using Low-latency Event-based Neural Networks
  82. CROVIA: Seeing Drone Scenes from Car Perspective via Cross-View Adaptation
  83. DINOv2: Learning Robust Visual Features without Supervision
  84. Just Tell Me: Prompt Engineering in Business Process Management
  85. Exploring Causes of Demographic Variations In Face Recognition Accuracy
  86. A Comparative Study on Generative Models for High Resolution Solar Observation Imaging
  87. Bandit-Based Policy Invariant Explicit Shaping for Incorporating External Advice in Reinforcement Learning
  88. Unsupervised Learning Optical Flow in Multi-frame Dynamic Environment Using Temporal Dynamic Modeling
  89. Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability
  90. End-to-End Learning with Multiple Modalities for System-Optimised Renewables Nowcasting
  91. Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection
  92. Car-Following Models: A Multidisciplinary Review
  93. On Data Sampling Strategies for Training Neural Network Speech Separation Models
  94. TUM-FAcCADE: Reviewing and enriching point cloud benchmarks for faccade segmentation
  95. Neuromorphic Optical Flow and Real-time Implementation with Event Cameras
  96. One Explanation Does Not Fit XIL
  97. OPI at SemEval 2023 Task 9: A Simple But Effective Approach to Multilingual Tweet Intimacy Analysis
  98. OPI at SemEval 2023 Task 1: Image-Text Embeddings and Multimodal Information Retrieval for Visual Word Sense Disambiguation
  99. Keeping the Questions Conversational: Using Structured Representations to Resolve Dependency in Conversational Question Answering
  100. Tailored Multi-Organ Segmentation with Model Adaptation and Ensemble
All 176
  1. Grouping Shapley Value Feature Importances of Random Forests for explainable Yield Prediction
  2. Task-oriented Document-Grounded Dialog Systems by HLTPR@RWTH for DSTC9 and DSTC10
  3. Prior based Sampling for Adaptive LiDAR
  4. Interpretable Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI Images
  5. Delta Denoising Score
  6. DETR with Additional Global Aggregation for Cross-domain Weakly Supervised Object Detection
  7. BCE-Net: Reliable Building Footprints Change Extraction based on Historical Map and Up-to-Date Images using Contrastive Learning
  8. Uncertainty-Aware Vehicle Energy Efficiency Prediction using an Ensemble of Neural Networks
  9. CornerFormer: Boosting Corner Representation for Fine-Grained Structured Reconstruction
  10. Who breaks early, looses: goal oriented training of deep neural networks based on port Hamiltonian dynamics
  11. SEA: A Scalable Entity Alignment System
  12. Rethinking Complex Queries on Knowledge Graphs with Neural Link Predictors
  13. DroidBot-GPT: GPT-powered UI Automation for Android
  14. Perceptual Quality Assessment of Face Video Compression: A Benchmark and An Effective Method
  15. The Second Monocular Depth Estimation Challenge
  16. Lossy Compression of Large-Scale Radio Interferometric Data
  17. Wasserstein PAC-Bayes Learning: Exploiting Optimisation Guarantees to Explain Generalisation
  18. Near Field iToF LIDAR Depth Improvement from Limited Number of Shots
  19. Ledoit-Wolf linear shrinkage with unknown mean
  20. Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement
  21. Hierarchical Agent-based Reinforcement Learning Framework for Automated Quality Assessment of Fetal Ultrasound Video
  22. Spectral Transfer Guided Active Domain Adaptation For Thermal Imagery
  23. FairRec: Fairness Testing for Deep Recommender Systems
  24. Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solution
  25. Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit
  26. Label Dependencies-aware Set Prediction Networks for Multi-label Text Classification
  27. DIPNet: Efficiency Distillation and Iterative Pruning for Image Super-Resolution
  28. Symbiotic Message Passing Model for Transfer Learning between Anti-Fungal and Anti-Bacterial Domains
  29. AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing
  30. Dialogue Games for Benchmarking Language Understanding: Motivation, Taxonomy, Strategy
  31. Detection and Estimation of Structural Breaks in High-Dimensional Functional Time Series
  32. SimpLex: a lexical text simplification architecture
  33. Dimension-free mixing times of Gibbs samplers for Bayesian hierarchical models
  34. Unsupervised ANN-Based Equalizer and Its Trainable FPGA Implementation
  35. A Byte Sequence is Worth an Image: CNN for File Fragment Classification Using Bit Shift and n-Gram Embeddings
  36. DeePoint: Visual Pointing Recognition and Direction Estimation
  37. Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image Restoration
  38. HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge
  39. Multi-fidelity prediction of fluid flow and temperature field based on transfer learning using Fourier Neural Operator
  40. Preserving Locality in Vision Transformers for Class Incremental Learning
  41. H2TNE: Temporal Heterogeneous Information Network Embedding in Hyperbolic Spaces
  42. UVA: Towards Unified Volumetric Avatar for View Synthesis, Pose rendering, Geometry and Texture Editing
  43. Domain shifts in dermoscopic skin cancer datasets: Evaluation of essential limitations for clinical translation
  44. Self-Supervised Learning based Depth Estimation from Monocular Images
  45. Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks with Soft-Thresholding
  46. MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic Segmentation
  47. Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction
  48. Cultural-aware Machine Learning based Analysis of COVID-19 Vaccine Hesitancy
  49. PPG Signals for Hypertension Diagnosis: A Novel Method using Deep Learning Models
  50. TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training
  51. A Unified HDR Imaging Method with Pixel and Patch Level
  52. AUTOSPARSE: Towards Automated Sparse Training of Deep Neural Networks
  53. Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text
  54. CAMM: Building Category-Agnostic and Animatable 3D Models from Monocular Videos
  55. Classification of social media Toxic comments using Machine learning models
  56. Scale Federated Learning for Label Set Mismatch in Medical Image Classification
  57. Self-Supervised Scene Dynamic Recovery from Rolling Shutter Images and Events
  58. CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery
  59. YOLO-Drone:Airborne real-time detection of dense small objects from high-altitude perspective
  60. Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense
  61. One-Shot Stylization for Full-Body Human Images
  62. SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked Autoencoders
  63. 3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining
  64. HCAM -- Hierarchical Cross Attention Model for Multi-modal Emotion Recognition
  65. Generating Adversarial Examples with Better Transferability via Masking Unimportant Parameters of Surrogate Model
  66. Toward Real-Time Image Annotation Using Marginalized Coupled Dictionary Learning
  67. Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding
  68. Systemic Fairness
  69. Machine Perception-Driven Image Compression: A Layered Generative Approach
  70. Performative Prediction with Neural Networks
  71. Sampling-based Reactive Synthesis for Nondeterministic Hybrid Systems
  72. nanoLM: an Affordable LLM Pre-training Benchmark via Accurate Loss Prediction across Scales
  73. L1BSR: Exploiting Detector Overlap for Self-Supervised Single-Image Super-Resolution of Sentinel-2 L1B Imagery
  74. AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics
  75. Tempo vs. Pitch: understanding self-supervised tempo estimation
  76. PMI Sampler: Patch Similarity Guided Frame Selection for Aerial Action Recognition