mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 23 Feb 2023

202 papers

  1. Text Semantics to Image Generation: A method of building facades design base on Stable Diffusion modelDiffusion models → 3D, point cloud and scene generation
  2. Practical Knowledge Distillation: Using DNNs to Beat DNNsKnowledge distillation → General knowledge distillation methods
  3. Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling LawsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  4. Modeling Molecular Structures with Intrinsic Diffusion ModelsDiffusion models → Flow matching, time series and science
  5. Active Prompting with Chain-of-Thought for Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
  6. To the Noise and Back: Diffusion for Shared AutonomyDiffusion models → Diffusion and flow policies for robotics
  7. Side Adapter Network for Open-Vocabulary Semantic SegmentationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  8. DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  9. Encoder-based Domain Tuning for Fast Personalization of Text-to-Image ModelsDiffusion models → Image generation, text-to-image and editing
  10. Aligning Text-to-Image Models using Human FeedbackLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
  11. Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt InjectionLLM safety and security → Prompt injection and agent security
  12. Personalized Decentralized Federated Learning with Knowledge DistillationKnowledge distillation → Federated, robust and private distillation
  13. Detecting Signs of Model Change with Continuous Model Selection Based on Descriptive DimensionalityDiffusion models → Diffusion foundations and sampling
  14. Random Teachers are Good TeachersKnowledge distillation → General knowledge distillation methods
  15. Teaching CLIP to Count to TenMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  16. Metric-oriented Speech Enhancement using Diffusion Probabilistic ModelDiffusion models → Audio, speech and music
  17. Diverse Policy Optimization for Structured Action SpaceLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  18. Improved Training of Mixture-of-Experts Language GANsMixture-of-experts → MoE large language models
  19. Region-Aware Diffusion for Zero-shot Text-driven Image EditingDiffusion models → Image generation, text-to-image and editing
  20. Controlled and Conditional Text to Image Generation with Diffusion PriorDiffusion models → Image generation, text-to-image and editing
  21. GraphVF: Controllable Protein-Specific 3D Molecule Generation with Variational Flow
  22. Exploring celebrity influence on public attitude towards the COVID-19 pandemic: social media shared sentiment analysis
  23. Backpropagation through Back Substitution with a Backslash
  24. An Independent Evaluation of ChatGPT on Mathematical Word Problems (MWP)
  25. Dr ChatGPT, tell me what I want to hear: How prompt knowledge impacts health answer correctness
  26. Neural networks for learning personality traits from natural language
  27. Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data
  28. FG-SSA: Features Gradient-based Signals Selection Algorithm of Linear Complexity for Convolutional Neural Networks
  29. MesoGraph: Automatic Profiling of Malignant Mesothelioma Subtypes from Histological Images
  30. Learning stiff chemical kinetics using extended deep neural operators
  31. Extracting Victim Counts from Text
  32. Less is More: Data Pruning for Faster Adversarial Training
  33. Targeted Search Control in AlphaZero for Effective Policy Improvement
  34. Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs
  35. Fundamental Bounds on Online Strategic Classification
  36. On the Hardness of Robustness Transfer: A Perspective from Rademacher Complexity over Symmetric Difference Hypothesis Space
  37. MetaLDC: Meta Learning of Low-Dimensional Computing Classifiers for Fast On-Device Adaption
  38. CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models
  39. Rank-Based Causal Discovery for Post-Nonlinear Models
  40. On the Limitations of Physics-informed Deep Learning: Illustrations Using First Order Hyperbolic Conservation Law-based Traffic Flow Models
  41. Physics Informed Deep Learning: Applications in Transportation
  42. Using Automated Algorithm Configuration for Parameter Control
  43. Auditing for Spatial Fairness
  44. Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization
  45. Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems
  46. Fact or Artifact? Revise Layer-wise Relevance Propagation on various ANN Architectures
  47. Characterizing Novelty in the Military Domain
  48. Testing AI on language comprehension tasks reveals insensitivity to underlying meaning
  49. Coded Matrix Computations for D2D-enabled Linearized Federated Learning
  50. Uncertainty Injection: A Deep Learning Method for Robust Optimization
  51. An Aligned Multi-Temporal Multi-Resolution Satellite Image Dataset for Change Detection Research
  52. In What Languages are Generative Language Models the Most Formal? Analyzing Formality Distribution across Languages
  53. Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views
  54. Beyond Moments: Robustly Learning Affine Transformations with Asymptotically Optimal Error
  55. ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth
  56. Testing Stationarity Concepts for ReLU Networks: Hardness, Regularity, and Robust Algorithms
  57. Solving differential equations using physics informed deep learning: a hand-on tutorial with benchmark tests
  58. Data leakage in cross-modal retrieval training: A case study
  59. Change is Hard: A Closer Look at Subpopulation Shift
  60. DisCO: Portrait Distortion Correction with Perspective-Aware 3D GANs
  61. Boosting Adversarial Transferability using Dynamic Cues
  62. VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion
  63. Phase diagram of early training dynamics in deep neural networks: effect of the learning rate, depth, and width
  64. MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes
  65. Learning Visual Representations via Language-Guided Sampling
  66. Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework
  67. Set Features for Fine-grained Anomaly Detection
  68. What makes a language easy to deep-learn? Deep neural networks and humans similarly benefit from compositional structure
  69. Improving Adaptive Conformal Prediction Using Self-Supervised Learning
  70. Learning Neural Volumetric Representations of Dynamic Humans in Minutes
  71. Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows
  72. Concept Learning for Interpretable Multi-Agent Reinforcement Learning
  73. An Explicit Expansion of the Kullback-Leibler Divergence along its Fisher-Rao Gradient Flow
  74. Federated Nearest Neighbor Machine Translation
  75. A Definition of Non-Stationary Bandits
  76. A Neural Span-Based Continual Named Entity Recognition Model
  77. Calibrated Regression Against An Adversary Without Regret
  78. Extensions to Generalized Annotated Logic and an Equivalent Neural Architecture
  79. MCWDST: a Minimum-Cost Weighted Directed Spanning Tree Algorithm for Real-Time Fake News Mitigation in Social Media
  80. HL Dataset: Visually-grounded Description of Scenes, Actions and Rationales
  81. Simple and Scalable Nearest Neighbor Machine Translation
  82. RSFDM-Net: Real-time Spatial and Frequency Domains Modulation Network for Underwater Image Enhancement
  83. A Scalable Space-efficient In-database Interpretability Framework for Embedding-based Semantic SQL Queries
  84. EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction
  85. Vision-Language Generative Model for View-Specific Chest X-ray Generation
  86. A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers
  87. Prosodic features improve sentence segmentation and parsing
  88. A Survey of Secure Computation Using Trusted Execution Environments
  89. Beyond Bias and Compliance: Towards Individual Agency and Plurality of Ethics in AI
  90. Streaming data recovery via Bayesian tensor train decomposition
  91. Automated Extraction of Fine-Grained Standardized Product Information from Unstructured Multilingual Web Data
  92. Bayesian Structure Scores for Probabilistic Circuits
  93. On the Generalization Ability of Retrieval-Enhanced Transformers
  94. KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction
  95. Sequential Counterfactual Risk Minimization
  96. Financial Distress Prediction For Small And Medium Enterprises Using Machine Learning Techniques
  97. A Constraints Fusion-induced Symmetric Nonnegative Matrix Factorization Approach for Community Detection
  98. Communication-Efficient Distributed Estimation and Inference for Cox's Model
  99. Single-Peaked Jump Schelling Games
  100. Evaluating Explainability in Machine Learning Predictions through Explainer-Agnostic Metrics
All 202
  1. Dermatological Diagnosis Explainability Benchmark for Convolutional Neural Networks
  2. Explorative analysis of human disease-symptoms relations using the Convolutional Neural Network
  3. Active learning for structural reliability analysis with multiple limit state functions through variance-enhanced PC-Kriging surrogate models
  4. Deep learning model for Mongolian Citizens Feedback Analysis using Word Vector Embeddings
  5. A Statistical Learning Take on the Concordance Index for Survival Analysis
  6. ProsAudit, a prosodic benchmark for self-supervised speech models
  7. Attention Mechanism for Contrastive Learning in GAN-based Image-to-Image Translation
  8. SPINDLE: Spinning Raw Text into Lambda Terms with Graph Attention
  9. Evaluating Automatic Speech Recognition in an Incremental Setting
  10. Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach
  11. Generative Sentiment Transfer via Adaptive Masking
  12. Exploring Social Media for Early Detection of Depression in COVID-19 Patients
  13. Conversational Agents and Children: Let Children Learn
  14. A Comparison of Modeling Preprocessing Techniques
  15. Natural Language Processing in the Legal Domain
  16. Comparison of Affine and Rational Quadratic Spline Coupling and Autoregressive Flows through Robust Statistical Tests
  17. K-SHAP: Policy Clustering Algorithm for Anonymous Multi-Agent State-Action Pairs
  18. Unsupervised Domain Adaptation via Distilled Discriminative Clustering
  19. Category-level Shape Estimation for Densely Cluttered Objects
  20. A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots
  21. Unsupervised Noise adaptation using Data Simulation
  22. Data-Driven Observability Analysis for Nonlinear Stochastic Systems
  23. Does Deep Learning Learn to Abstract? A Systematic Probing Framework
  24. LightCTS: A Lightweight Framework for Correlated Time Series Forecasting
  25. Efficiently handling constraints with Metropolis-adjusted Langevin algorithm
  26. ArtiFact: A Large-Scale Dataset with Artificial and Factual Images for Generalizable and Robust Synthetic Image Detection
  27. Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches
  28. The Generalizability of Explanations
  29. Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective
  30. Unified Convergence Theory of Stochastic and Variance-Reduced Cubic Newton Methods
  31. Sharp Calibrated Gaussian Processes
  32. Sentence Simplification via Large Language Models
  33. An Adam-enhanced Particle Swarm Optimizer for Latent Factor Analysis
  34. A Dynamic-Neighbor Particle Swarm Optimizer for Accurate Latent Factor Analysis
  35. MFBE: Leveraging Multi-Field Information of FAQs for Efficient Dense Retrieval
  36. Pixel Difference Convolutional Network for RGB-D Semantic Segmentation
  37. Evaluating the Efficacy of Skincare Product: A Realistic Short-Term Facial Pore Simulation
  38. Real-Time Damage Detection in Fiber Lifting Ropes Using Lightweight Convolutional Neural Networks
  39. Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference
  40. Uncertainty Guided Ensemble Self-Training for Semi-Supervised Global Field Reconstruction
  41. One Fits All:Power General Time Series Analysis by Pretrained LM
  42. Improving safety in physical human-robot collaboration via deep metric learning
  43. A metric to compare the anatomy variation between image time series
  44. Crossing Points Detection in Plain Weave for Old Paintings with Deep Learning
  45. PEM: Perception Error Model for Virtual Testing of Autonomous Vehicles
  46. Multi-Valued Neural Networks I A Multi-Valued Associative Memory
  47. The Geometry of Mixability
  48. A framework for benchmarking class-out-of-distribution detection and its application to ImageNet
  49. The Joint Weighted Average (JWA) Operator
  50. PIFON-EPT: MR-Based Electrical Property Tomography Using Physics-Informed Fourier Networks
  51. Catch Me If You Can: Semi-supervised Graph Learning for Spotting Money Laundering
  52. What Can We Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers
  53. Deep learning reveals the common spectrum underlying multiple brain disorders in youth and elders from brain functional networks
  54. Adaptive Sampling for Probabilistic Forecasting under Distribution Shift
  55. A2S-NAS: Asymmetric Spectral-Spatial Neural Architecture Search For Hyperspectral Image Classification
  56. Transformers in Single Object Tracking: An Experimental Survey
  57. Grounding Graph Network Simulators using Physical Sensor Observations
  58. Out-of-Domain Robustness via Targeted Augmentations
  59. Accurate Free Energy Estimations of Molecular Systems Via Flow-based Targeted Free Energy Perturbation
  60. Object-Centric Video Prediction via Decoupling of Object Dynamics and Interactions
  61. Coarse-to-Fine Knowledge Selection for Document Grounded Dialogs
  62. StudyFormer : Attention-Based and Dynamic Multi View Classifier for X-ray images
  63. On Statistical Properties of Sharpness-Aware Minimization: Provable Guarantees
  64. Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs
  65. Generalization of Auto-Regressive Hidden Markov Models to Non-Linear Dynamics and Unit Quaternion Observation Space
  66. Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement
  67. Learning to Manipulate a Commitment Optimizer
  68. Open Challenges for Monocular Single-shot 6D Object Pose Estimation
  69. MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-Attentions
  70. FedIL: Federated Incremental Learning from Decentralized Unlabeled Data with Convergence Analysis
  71. EfficientFace: An Efficient Deep Network with Feature Enhancement for Accurate Face Detection
  72. FTM: A Frame-level Timeline Modeling Method for Temporal Graph Representation Learning
  73. Deep OC-SORT: Multi-Pedestrian Tracking by Adaptive Re-Identification
  74. Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers
  75. A novel efficient Multi-view traffic-related object detection framework
  76. PLU-Net: Extraction of multi-scale feature fusion
  77. A Comprehensive Survey on Source-free Domain Adaptation
  78. Patch Network for medical image Segmentation
  79. FiTs: Fine-grained Two-stage Training for Knowledge-aware Question Answering
  80. Bridging Synthetic and Real Images: a Transferable and Multiple Consistency aided Fundus Image Enhancement Framework
  81. Revisiting the Gumbel-Softmax in MADDPG
  82. Empathetic Response Generation via Emotion Cause Transition Graph
  83. Efficient Context Integration through Factorized Pyramidal Learning for Ultra-Lightweight Semantic Segmentation
  84. Embeddings for Tabular Data: A Survey
  85. Semantic-Fused Multi-Granularity Cross-City Traffic Prediction
  86. Adaptive Approximate Implicitization of Planar Parametric Curves via Weak Gradient Constraints
  87. MUTANT: A Multi-sentential Code-mixed Hinglish Dataset
  88. Intermittently Observable Markov Decision Processes
  89. Open-World Object Detection via Discriminative Class Prototype Learning
  90. Learning Manifold Dimensions with Conditional Variational Autoencoders
  91. EVJVQA Challenge: Multilingual Visual Question Answering
  92. Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning in Machine Learning Model Market
  93. Hera: A Heterogeneity-Aware Multi-Tenant Inference Server for Personalized Recommendations
  94. Causally Disentangled Generative Variational AutoEncoder
  95. Detachedly Learn a Classifier for Class-Incremental Learning
  96. A Convolutional-Transformer Network for Crack Segmentation with Boundary Awareness
  97. Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments
  98. VRA: Variational Rectified Activation for Out-of-distribution Detection
  99. Variable Importance Matching for Causal Inference
  100. Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?
  101. Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes
  102. A Deep Neural Network Based Approach to Building Budget-Constrained Models for Big Data Analysis