mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 2 Aug 2023

170 papers

  1. Leveraging Side Information for Ligand Conformation Generation using Diffusion-Based ApproachesDiffusion models → Flow matching, time series and science
  2. Degeneration-Tuning: Using Scrambled Grid shield Unwanted Concepts from Stable DiffusionDiffusion models → Robustness, privacy and adversarial aspects
  3. Training Data Protection with Compositional Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  4. Why Do We Need Neuro-symbolic AI to Model Pragmatic Analogies?LLM reasoning → Reasoning benchmarks and evaluation
  5. Reverse Stable Diffusion: What prompt was used to generate this image?Diffusion models → Image generation, text-to-image and editing
  6. Implicit Occupancy Flow Fields for Perception and Prediction in Self-DrivingEnd-to-end autonomous driving → Generative simulation for driving
  7. OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  8. DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All ScalesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  9. Patched Denoising Diffusion Models For High-Resolution Image SynthesisDiffusion models → Diffusion foundations and sampling
  10. PerceptionCLIP: Visual Classification by Inferring and Conditioning on ContextsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  11. Exploring the psychology of LLMs' Moral and Legal ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  12. Do Multilingual Language Models Think Better in English?LLM reasoning → Reasoning benchmarks and evaluation
  13. Interpretable End-to-End Driving Model for Implicit Scene UnderstandingEnd-to-end autonomous driving → VLMs for autonomous driving
  14. Contrast-augmented Diffusion Model with Fine-grained Sequence Alignment for Markup-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
  15. DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic SegmentationDiffusion models → Medical imaging and segmentation
  16. Beyond Generic: Enhancing Image Captioning with Real-World Knowledge using Vision-Language Pre-Training ModelMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  17. Learning Fourier-Constrained Diffusion Bridges for MRI ReconstructionDiffusion models → Medical imaging and segmentation
  18. A Counterfactual Safety Margin Perspective on the Scoring of Autonomous Vehicles' RiskinessEnd-to-end autonomous driving → Adversarial scenarios and safety testing
  19. Dynamic Token Pruning in Plain Vision Transformers for Semantic SegmentationEfficient LLM inference and serving → Token pruning and merging for ViTs
  20. FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
  21. From Sparse to Soft Mixtures of ExpertsMixture-of-experts → Vision mixture-of-experts
  22. Rethinking Similarity Search: Embracing Smarter Mechanisms over Smarter DataLLM reasoning → Knowledge- and tool-augmented reasoning
  23. SkateboardAI: The Coolest Video Action Recognition for Skateboarding
  24. Duality Principle and Biologically Plausible Learning: Connecting the Representer Theorem and Hebbian Learning
  25. ecoBLE: A Low-Computation Energy Consumption Prediction Framework for Bluetooth Low Energy
  26. Target-aware Variational Auto-encoders for Ligand Generation with Multimodal Protein Representation Learning
  27. Controlling the Solo12 Quadruped Robot with Deep Reinforcement Learning
  28. Machine Learning Small Molecule Properties in Drug Discovery
  29. Excitatory/Inhibitory Balance Emerges as a Key Factor for RBN Performance, Overriding Attractor Dynamics
  30. Effects of Daily News Sentiment on Stock Price Forecasting
  31. Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI
  32. A new approach for evaluating internal cluster validation indices
  33. Bio+Clinical BERT, BERT Base, and CNN Performance Comparison for Predicting Drug-Review Satisfaction
  34. AI-Enhanced Data Processing and Discovery Crowd Sourcing for Meteor Shower Mapping
  35. From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion
  36. DLSIA: Deep Learning for Scientific Image Analysis
  37. The Paradigm Shifts in Artificial Intelligence
  38. Attention-free Spikformer: Mixing Spike Sequences with Simple Linear Transforms
  39. Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning
  40. Knowledge-aware Collaborative Filtering with Pre-trained Language Model for Personalized Review-based Rating Prediction
  41. Survey on Computer Vision Techniques for Internet-of-Things Devices
  42. Sea level Projections with Machine Learning using Altimetry and Climate Model ensembles
  43. Unlocking the Potential of Similarity Matching: Scalability, Supervision and Pre-training
  44. Learning Regionalization using Accurate Spatial Cost Gradients within a Differentiable High-Resolution Hydrological Model: Application to the French Mediterranean Region
  45. Investigation on Machine Learning Based Approaches for Estimating the Critical Temperature of Superconductors
  46. Machine Learning-Based Diabetes Detection Using Photoplethysmography Signal Features
  47. A Transformer-based Prediction Method for Depth of Anesthesia During Target-controlled Infusion of Propofol and Remifentanil
  48. MultiEM: Efficient and Effective Unsupervised Multi-Table Entity Matching
  49. Are Easy Data Easy (for K-Means)
  50. Multi-variable Hard Physical Constraints for Climate Model Downscaling
  51. HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructions
  52. Interpretable Machine Learning for Discovery: Statistical Challenges & Opportunities
  53. VertexSerum: Poisoning Graph Neural Networks for Link Inference
  54. A digital twin framework for civil engineering structures
  55. Novel Physics-Based Machine-Learning Models for Indoor Air Quality Approximations
  56. Price-Aware Deep Learning for Electricity Markets
  57. COVID-VR: A Deep Learning COVID-19 Classification Model Using Volume-Rendered Computer Tomography
  58. LiDAR View Synthesis for Robust Vehicle Navigation Without Expert Labels
  59. Achieving state-of-the-art performance in the Medical Out-of-Distribution (MOOD) challenge using plausible synthetic anomalies
  60. UPB at IberLEF-2023 AuTexTification: Detection of Machine-Generated Text using Transformer Ensembles
  61. Optimizing Machine Translation through Prompt Engineering: An Investigation into ChatGPT's Customizability
  62. Follow the Soldiers with Optimized Single-Shot Multibox Detection and Reinforcement Learning
  63. Computational Long Exposure Mobile Photography
  64. CausalOps -- Towards an Industrial Lifecycle for Causal Probabilistic Graphical Models
  65. An enhanced motion planning approach by integrating driving heterogeneity and long-term trajectory prediction for automated driving systems
  66. Empirical Translation Process Research: Past and Possible Future Perspectives
  67. Explainable Deep Learning for Tumor Dynamic Modeling and Overall Survival Prediction using Neural-ODE
  68. Compressed and distributed least-squares regression: convergence rates with applications to Federated Learning
  69. EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding
  70. A vision transformer-based framework for knowledge transfer from multi-modal to mono-modal lymphoma subtyping models
  71. Careful Whisper -- leveraging advances in automatic speech recognition for robust and interpretable aphasia subtype classification
  72. Evaluation of network-guided random forest for disease gene discovery
  73. ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders
  74. Lode Encoder: AI-constrained co-creativity
  75. Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping
  76. Revisiting DETR Pre-training for Object Detection
  77. Flows: Building Blocks of Reasoning and Collaborating AI
  78. Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text?
  79. BRNES: Enabling Security and Privacy-aware Experience Sharing in Multiagent Robotic and Autonomous Systems
  80. A Probabilistic Approach to Self-Supervised Learning using Cyclical Stochastic Gradient MCMC
  81. XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models
  82. Incorporating Season and Solar Specificity into Renderings made by a NeRF Architecture using Satellite Images
  83. Learning Spatial Distribution of Long-Term Trackers Scores
  84. A Multi-Source Data Fusion-based Semantic Segmentation Model for Relic Landslide Detection
  85. A Hybrid Approach To Real-Time Multi-Object Tracking
  86. Tirtha -- An Automated Platform to Crowdsource Images and Create 3D Models of Heritage Sites
  87. Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation
  88. CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion
  89. Grounded Image Text Matching with Mismatched Relation Reasoning
  90. Calibration in Deep Learning: A Survey of the State-of-the-Art
  91. Using ScrutinAI for Visual Inspection of DNN Performance in a Medical Use Case
  92. TeachCLIP: Multi-Grained Teaching for Efficient Text-to-Video Retrieval
  93. Global Hierarchical Neural Networks using Hierarchical Softmax
  94. Improving Generalization in Visual Reinforcement Learning via Conflict-aware Gradient Agreement Augmentation
  95. Mercury: An Automated Remote Side-channel Attack to Nvidia Deep Learning Accelerator
  96. Data-Centric Diet: Effective Multi-center Dataset Pruning for Medical Image Segmentation
  97. Bridging Generative and Discriminative Noisy-Label Learning via Direction-Agnostic EM Formulation
  98. Memory Encoding Model
  99. Revisiting a Design Choice in Gradient Temporal Difference Learning
  100. LLMs Understand Glass-Box Models, Discover Surprises, and Suggest Repairs
All 170
  1. Arithmetic with Language Models: from Memorization to Computation
  2. UCDFormer: Unsupervised Change Detection Using a Transformer-driven Image Translation
  3. ADS-Cap: A Framework for Accurate and Diverse Stylized Captioning with Unpaired Stylistic Corpora
  4. Dynamically Scaled Temperature in Self-Supervised Contrastive Learning
  5. Dynamic Privacy Allocation for Locally Differentially Private Federated Learning with Composite Objectives
  6. Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases
  7. Multi-task learning for classification, segmentation, reconstruction, and detection on chest CT scans
  8. Leveraging Expert Models for Training Deep Neural Networks in Scarce Data Domains: Application to Offline Handwritten Signature Verification
  9. Stereo Visual Odometry with Deep Learning-Based Point and Line Feature Matching using an Attention Graph Neural Network
  10. Unlearning Spurious Correlations in Chest X-ray Classification
  11. A Survey on Popularity Bias in Recommender Systems
  12. Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case
  13. Towards Better Query Classification with Multi-Expert Knowledge Condensation in JD Ads Search
  14. Spatio-Temporal Branching for Motion Prediction using Motion Increments
  15. AutoPoster: A Highly Automatic and Content-aware Design System for Advertising Poster Generation
  16. Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case
  17. Hand tracking for clinical applications: validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks
  18. Homography Estimation in Complex Topological Scenes
  19. Spatial Intelligence of a Self-driving Car and Rule-Based Decision Making
  20. Data-Driven Identification of Quadratic Representations for Nonlinear Hamiltonian Systems using Weakly Symplectic Liftings
  21. Leveraging Few-Shot Data Augmentation and Waterfall Prompting for Response Generation
  22. A Practical Deep Learning-Based Acoustic Side Channel Attack on Keyboards
  23. Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion
  24. When Analytic Calculus Cracks AdaBoost Code
  25. Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach
  26. Improving Generalization of Synthetically Trained Sonar Image Descriptors for Underwater Place Recognition
  27. MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening
  28. Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimation
  29. Chat Translation Error Detection for Assisting Cross-lingual Communications
  30. WCCNet: Wavelet-context Cooperative Network for Efficient Multispectral Pedestrian Detection
  31. Computing the Distance between unbalanced Distributions -- The flat Metric
  32. TS-RGBD Dataset: a Novel Dataset for Theatre Scenes Description for People with Visual Impairments
  33. Optimizing Three Critical Factors for Practical and Effective OOD Detection Fine-Tuning
  34. Maximizing Success Rate of Payment Routing using Non-stationary Bandits
  35. Regular Variation in Hilbert Spaces and Principal Component Analysis for Functional Extremes
  36. SALTTS: Leveraging Self-Supervised Speech Representations for improved Text-to-Speech Synthesis
  37. Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach
  38. Point Anywhere: Directed Object Estimation from Omnidirectional Images
  39. MDT3D: Multi-Dataset Training for LiDAR 3D Object Detection Generalization
  40. SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems
  41. Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning
  42. Orientation-Guided Contrastive Learning for UAV-View Geo-Localisation
  43. Certified Multi-Fidelity Zeroth-Order Optimization
  44. ForensicsForest Family: A Series of Multi-scale Hierarchical Cascade Forests for Detecting GAN-generated Faces
  45. Integrating Homomorphic Encryption and Trusted Execution Technology for Autonomous and Confidential Model Refining in Cloud
  46. Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks
  47. Improving the Variance of Differentially Private Randomized Experiments through Clustering
  48. Curriculum Guided Domain Adaptation in the Dark
  49. Synthetic Instance Segmentation from Semantic Image Segmentation Masks
  50. Decomposing and Coupling Saliency Map for Lesion Segmentation in Ultrasound Images
  51. Teaching Smaller Language Models To Generalise To Unseen Compositional Questions
  52. On the use of deep learning for phase recovery
  53. Feature-aware conditional GAN for category text generation
  54. LEMMA: Learning Language-Conditioned Multi-Robot Manipulation
  55. Particle swarm optimization with state-based adaptive velocity limit strategy
  56. WaterFlow: Heuristic Normalizing Flow for Underwater Image Enhancement and Beyond
  57. Colo-ReID: Discriminative Representation Embedding with Meta-learning for Colonoscopic Polyp Re-Identification
  58. QUANT: A Minimalist Interval Method for Time Series Classification
  59. Physics-informed neural networks for blood flow inverse problems
  60. Detection and Segmentation of Cosmic Objects Based on Adaptive Thresholding and Back Propagation Neural Network
  61. Continual Domain Adaptation on Aerial Images under Gradually Degrading Weather
  62. Virtual histological staining of unlabeled autopsy tissue
  63. A Novel Cross-Perturbation for Single Domain Generalization
  64. The Bayesian Context Trees State Space Model for time series modelling and forecasting
  65. ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
  66. VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference
  67. User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations
  68. Tango: rethinking quantization for graph neural network training on GPUs
  69. Factor Graph Neural Networks
  70. Enhancing Machine Learning Performance with Continuous In-Session Ground Truth Scores: Pilot Study on Objective Skeletal Muscle Pain Intensity Prediction