mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 31 Jul 2023

224 papers

  1. Federated Learning for Data and Model Heterogeneity in Medical ImagingKnowledge distillation → Federated, robust and private distillation
  2. Backdooring Instruction-Tuned Large Language Models with Virtual Prompt InjectionLLM safety and security → Backdoor and data poisoning attacks
  3. Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  4. Towards Trustworthy and Aligned Machine Learning: A Data-centric Survey with Causality PerspectivesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  5. ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIsLLM agents and tool use → Tool learning and function calling
  6. Learning whom to trust in navigation: dynamically switching between classical and neural planningOffline RL and imitation learning from data → Language-conditioned policies and VLAs
  7. DiffPose: SpatioTemporal Diffusion Model for Video-Based Human Pose EstimationDiffusion models → 3D, point cloud and scene generation
  8. On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and OutlookDiffusion models → Robustness, privacy and adversarial aspects
  9. Comparing normalizing flows and diffusion models for prosody and acoustic modelling in text-to-speechDiffusion models → Audio, speech and music
  10. Sampling to Distill: Knowledge Transfer from Open-World DataKnowledge distillation → General knowledge distillation methods
  11. Contrastive Conditional Latent Diffusion for Audio-visual SegmentationDiffusion models → Audio, speech and music
  12. DiffProsody: Diffusion-based Latent Prosody Generation for Expressive Speech Synthesis with Prosody Conditional Adversarial TrainingDiffusion models → Audio, speech and music
  13. BAGM: A Backdoor Attack for Manipulating Text-to-Image Generative ModelsLLM safety and security → Backdoor and data poisoning attacks
  14. Don't be so negative! Score-based Generative Modeling with Oracle-assisted GuidanceDiffusion models → Diffusion foundations and sampling
  15. MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot LearningDiffusion models → Diffusion foundations and sampling
  16. Bridging the Gap: Exploring the Capabilities of Bridge-Architectures for Complex Visual Reasoning TasksLLM reasoning → Multimodal reasoning
  17. Alternate Learning based Sparse Semantic Communications for Visual Transmission
  18. A Case for AI Safety via Law
  19. Analytical Techniques to Support Hospital Case Mix Planning
  20. Multicriteria Optimization Techniques for Understanding the Case Mix Landscape of a Hospital
  21. The Efficacy of Utility Functions for Multicriteria Hospital Case-Mix Planning
  22. Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI
  23. NLLG Quarterly arXiv Report 06/23: What are the most influential current AI Papers?
  24. Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc
  25. Changes in Policy Preferences in German Tweets during the COVID Pandemic
  26. Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos
  27. Hierarchical Semi-Supervised Learning Framework for Surgical Gesture Segmentation and Recognition Based on Multi-Modality Data
  28. A comprehensive review of deep learning in lung cancer
  29. Multiobjective Evolutionary Component Effect on Algorithm behavior
  30. Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions?
  31. Chatbot Application to Support Smart Agriculture in Thailand
  32. Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals
  33. Perceptions of the Fourth Industrial Revolution and Artificial Intelligence Impact on Society
  34. DCTM: Dilated Convolutional Transformer Model for Multimodal Engagement Estimation in Conversation
  35. FinVis-GPT: A Multimodal Large Language Model for Financial Chart Analysis
  36. An Effective Data Creation Pipeline to Generate High-quality Financial Instruction Data for Large Language Model
  37. HouYi: An open-source large language model specially designed for renewable energy and carbon neutrality field
  38. Learning to Model the World with Language
  39. Recent advancement in Disease Diagnostic using machine learning: Systematic survey of decades, comparisons, and challenges
  40. Framing image registration as a landmark detection problem for label-noise-aware task representation (HitR)
  41. A Pre-trained Data Deduplication Model based on Active Learning
  42. Automated COVID-19 CT Image Classification using Multi-head Channel Attention in Deep CNN
  43. Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression
  44. Cardiac MRI Orientation Recognition and Standardization using Deep Neural Networks
  45. Stochastic positional embeddings improve masked image modeling
  46. CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in Robotics
  47. Performance Evaluation of Swin Vision Transformer Model using Gradient Accumulation Optimization Technique
  48. C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation
  49. Universal Majorization-Minimization Algorithms
  50. Generative Models as a Complex Systems Science: How can we make sense of large language model behavior?
  51. Detecting the Anomalies in LiDAR Pointcloud
  52. Attribution-Scores in Data Management and Explainable Machine Learning
  53. General Anomaly Detection of Underwater Gliders Validated by Large-scale Deployment Datasets
  54. Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity
  55. A Flow Artist for High-Dimensional Cellular Data
  56. Towards Imbalanced Large Scale Multi-label Classification with Partially Annotated Labels
  57. Adversarially Robust Neural Legal Judgement Systems
  58. Multispectral Image Segmentation in Agriculture: A Comprehensive Study on Fusion Approaches
  59. MTUncertainty: Assessing the Need for Post-editing of Machine Translation Outputs by Fine-tuning OpenAI LLMs
  60. Boosting Adverse Drug Event Normalization on Social Media: General-Purpose Model Initialization and Biomedical Semantic Text Similarity Benefit Zero-Shot Linking in Informal Contexts
  61. Controlling Geometric Abstraction and Texture for Artistic Images
  62. DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification
  63. Formally Explaining Neural Networks within Reactive Systems
  64. Semi-Supervised Laplace Learning on Stiefel Manifolds
  65. A Suite of Fairness Datasets for Tabular Classification
  66. Ensemble Learning with Residual Transformer for Brain Tumor Segmentation
  67. DiviML: A Module-based Heuristic for Mapping Neural Networks onto Heterogeneous Platforms
  68. High-Quality Visually-Guided Sound Separation from Diverse Categories
  69. A Modular Ontology for MODS -- Metadata Object Description Schema
  70. Can A Single Human Supervise A Swarm of 100 Heterogeneous Robots?
  71. Convolutional Occupancy Models for Dense Packing of Complex, Novel Objects
  72. VG-SSL: Benchmarking Self-supervised Representation Learning Approaches for Visual Geo-localization
  73. New Lower Bounds for Testing Monotonicity and Log Concavity of Distributions
  74. Towards Semantically Enriched Embeddings for Knowledge Graph Completion
  75. A Novel Deep Learning based Model to Defend Network Intrusion Detection System against Adversarial Attacks
  76. Crowd Safety Manager: Towards Data-Driven Active Decision Support for Planning and Control of Crowd Events
  77. Using Kernel SHAP XAI Method to optimize the Network Anomaly Detection Model
  78. T-Fusion Net: A Novel Deep Neural Network Augmented with Multiple Localizations based Spatial Attention Mechanisms for Covid-19 Detection
  79. Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges
  80. Alpha-GPT: Human-AI Interactive Alpha Mining for Quantitative Investment
  81. Exploring how a Generative AI interprets music
  82. A new mapping of technological interdependence
  83. DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields
  84. Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training
  85. Conformal PID Control for Time Series Prediction
  86. Foundational Models for Fault Diagnosis of Electrical Motors
  87. Discovering Adaptable Symbolic Algorithms from Scratch
  88. HAGRID: A Human-LLM Collaborative Dataset for Generative Information-Seeking with Attribution
  89. Image Synthesis under Limited Data: A Survey and Taxonomy
  90. Contrastive Learning for API Aspect Analysis
  91. Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering
  92. Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy
  93. MetaCAM: Ensemble-Based Class Activation Map
  94. A Trajectory K-Anonymity Model Based on Point Density and Partition
  95. CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking
  96. Identification of Driving Heterogeneity using Action-chains
  97. Decidable Fragments of LTLf Modulo Theories (Extended Version)
  98. Random Sub-Samples Generation for Self-Supervised Real Image Denoising
  99. Defense of Adversarial Ranking Attack in Text Retrieval: Benchmark and Baseline via Detection
  100. Capturing Co-existing Distortions in User-Generated Content for No-reference Video Quality Assessment
All 224
  1. DoDo Learning: DOmain-DemOgraphic Transfer in Language Models for Detecting Abuse Targeted at Public Figures
  2. On the use of associative memory in Hopfield networks designed to solve propositional satisfiability problems
  3. DPMix: Mixture of Depth and Point Cloud Video Experts for 4D Action Segmentation
  4. Structural Transfer Learning in NL-to-Bash Semantic Parsers
  5. Classification with Deep Neural Networks and Logistic Loss
  6. The Ethics of AI Value Chains
  7. From Generation to Suppression: Towards Effective Irregular Glow Removal for Nighttime Visibility Enhancement
  8. Ranking-based Argumentation Semantics Applied to Logical Argumentation (full version)
  9. Lexically-Accelerated Dense Retrieval
  10. KoBBQ: Korean Bias Benchmark for Question Answering
  11. AsdKB: A Chinese Knowledge Base for the Early Screening and Diagnosis of Autism Spectrum Disorder
  12. Lightweight Super-Resolution Head for Human Pose Estimation
  13. High-Performance Fine Defect Detection in Artificial Leather Using Dual Feature Pool Object Detection
  14. Advancing Smart Malnutrition Monitoring: A Multi-Modal Learning Approach for Vital Health Parameter Estimation
  15. Multi-Spectral Image Stitching via Spatial Graph Reasoning
  16. Lossless Transformations and Excess Risk Bounds in Statistical Inference
  17. Hybrid quantum transfer learning for crack image classification on NISQ hardware
  18. An Efficient Shapley Value Computation for the Naive Bayes Classifier
  19. UniVTG: Towards Unified Video-Language Temporal Grounding
  20. A Comprehensive Study of Machine Learning Techniques for Log-Based Anomaly Detection
  21. TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification
  22. Multilingual context-based pronunciation learning for Text-to-Speech
  23. Deep Learning Meets Adaptive Filtering: A Stein's Unbiased Risk Estimator Approach
  24. Continuous-Time Distributed Dynamic Programming for Networked Multi-Agent Markov Decision Processes
  25. Lookbehind-SAM: k steps back, 1 step forward
  26. Ontology engineering with Large Language Models
  27. A theory of data variability in Neural Network Bayesian inference
  28. Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging
  29. No that's not what I meant: Handling Third Position Repair in Conversational Question Answering
  30. Guiding Image Captioning Models Toward More Specific Captions
  31. Anticipating Responsibility in Multiagent Planning
  32. End-to-End Reinforcement Learning for Torque Based Variable Height Hopping
  33. Conditioning Generative Latent Optimization for Sparse-View CT Image Reconstruction
  34. Generative models for wearables data
  35. Graph Structure from Point Clouds: Geometric Attention is All You Need
  36. Proactive Resource Request for Disaster Response: A Deep Learning-based Optimization Model
  37. Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training
  38. The World Literature Knowledge Graph
  39. Sequential and Shared-Memory Parallel Algorithms for Partitioned Local Depths
  40. UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction
  41. LLMs4OL: Large Language Models for Ontology Learning
  42. Scaling Sentence Embeddings with Large Language Models
  43. Improving grapheme-to-phoneme conversion by learning pronunciations from speech recordings
  44. VacancySBERT: the approach for representation of titles and skills for semantic similarity search in the recruitment domain
  45. CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification
  46. Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks
  47. Adversarial Causal Bayesian Optimization
  48. Detecting diabetic retinopathy severity through fundus images using an ensemble of classifiers
  49. Audio-Visual Segmentation by Exploring Cross-Modal Mutual Semantics
  50. FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration
  51. LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels
  52. Noisy Self-Training with Data Augmentations for Offensive and Hate Speech Detection Tasks
  53. SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model
  54. Audio-visual video-to-speech synthesis with synthesized input audio
  55. A multiscale and multicriteria Generative Adversarial Network to synthesize 1-dimensional turbulent fields
  56. Approximating Counterfactual Bounds while Fusing Observational, Biased and Randomised Data Sources
  57. Toward Quantum Machine Translation of Syntactically Distinct Languages
  58. Deep Dive into the Language of International Relations: NLP-based Analysis of UNESCO's Summary Records
  59. Transferable Attack for Semantic Segmentation
  60. Towards Imbalanced Motion: Part-Decoupling Network for Video Portrait Segmentation
  61. The Decimation Scheme for Symmetric Matrix Factorization
  62. Line Search for Convex Minimization
  63. Simultaneous column-based deep learning progression analysis of atrophy associated with AMD in longitudinal OCT studies
  64. Uncertainty-Guided Spatial Pruning Architecture for Efficient Frame Interpolation
  65. Specification of MiniDemographicABM.jl: A simplified agent-based demographic model of the UK
  66. Towards General Visual-Linguistic Face Forgery Detection
  67. Utilisation of open intent recognition models for customer support intent detection
  68. On Transferability of Driver Observation Models from Simulated to Real Environments in Autonomous Cars
  69. Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality Fusion
  70. Deep Learning and Computer Vision for Glaucoma Detection: A Review
  71. No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging
  72. Transferable Decoding with Visual Entities for Zero-Shot Image Captioning
  73. Select2Col: Leveraging Spatial-Temporal Importance of Semantic Information for Efficient Collaborative Perception
  74. Deception Abilities Emerged in Large Language Models
  75. Classifying multilingual party manifestos: Domain transfer across country, time, and genre
  76. Digging Into Uncertainty-based Pseudo-label for Robust Stereo Matching
  77. Towards General Low-Light Raw Noise Synthesis and Modeling
  78. Explainable Equivariant Neural Networks for Particle Physics: PELICAN
  79. Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot
  80. Learning Generalizable Tool Use with Non-rigid Grasp-pose Registration
  81. Model-free Grasping with Multi-Suction Cup Grippers for Robotic Bin Picking
  82. To Classify is to Interpret: Building Taxonomies from Heterogeneous Data through Human-AI Collaboration
  83. Tracking mulitple targets with multiple radars using Distributed Auctions
  84. A hybrid approach for improving U-Net variants in medical image segmentation
  85. L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space
  86. A Benchmark for Understanding Dialogue Safety in Mental Health Support
  87. Camoscio: an Italian Instruction-tuned LLaMA
  88. Every Mistake Counts in Assembly
  89. A continuous Structural Intervention Distance to compare Causal Graphs
  90. MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
  91. Interactive Neural Painting
  92. Towards Head Computed Tomography Image Reconstruction Standardization with Deep Learning Assisted Automatic Detection
  93. Detecting Out-of-distribution Objects Using Neuron Activation Patterns
  94. VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture Design
  95. Causal Inference for Banking Finance and Insurance A Survey
  96. High Dynamic Range Image Reconstruction via Deep Explicit Polynomial Curve Estimation
  97. Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
  98. Wasserstein Mirror Gradient Flow as the limit of the Sinkhorn Algorithm
  99. Subspace Distillation for Continual Learning
  100. DRAW: Defending Camera-shooted RAW against Image Manipulation
  101. MRA-GNN: Minutiae Relation-Aware Model over Graph Neural Network for Fingerprint Embedding
  102. DDG-Net: Discriminability-Driven Graph Network for Weakly-supervised Temporal Action Localization
  103. RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection
  104. HiREN: Towards Higher Supervision Quality for Better Scene Text Image Super-Resolution
  105. Causal-learn: Causal Discovery in Python
  106. SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation
  107. Visual Captioning at Will: Describing Images and Videos Guided by a Few Stylized Sentences
  108. STL: A Signed and Truncated Logarithm Activation Function for Neural Networks
  109. Relation-First Modeling Paradigm for Causal Representation Learning toward the Development of AGI
  110. Does fine-tuning GPT-3 with the OpenAI API leak personally-identifiable information?
  111. JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery
  112. When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities
  113. UniAP: Unifying Inter- and Intra-Layer Automatic Parallelism by Mixed Integer Quadratic Programming
  114. 2D Convolutional Neural Network for Event Reconstruction in IceCube DeepCore
  115. MobileVidFactory: Automatic Diffusion-Based Social Media Video Generation for Mobile Devices from Text
  116. Workshop on Document Intelligence Understanding
  117. AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
  118. Multi-modal Graph Neural Network for Early Diagnosis of Alzheimer's Disease from sMRI and PET Scans
  119. Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators
  120. BearingPGA-Net: A Lightweight and Deployable Bearing Fault Diagnosis Network via Decoupled Knowledge Distillation and FPGA Acceleration
  121. Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples
  122. Probabilistically robust conformal prediction
  123. Moreau-Yoshida Variational Transport: A General Framework For Solving Regularized Distributional Optimization Problems
  124. Distributionally Robust Safety Filter for Learning-Based Control in Active Distribution Systems