mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 22 Nov 2023

227 papers

  1. Conditions for Length Generalization in Learning Reasoning SkillsLLM reasoning → Test-time compute and efficient thinking
  2. Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI PlanningLLM reasoning → Reasoning for agents, planning and code
  3. A Somewhat Robust Image Watermark against Diffusion-based Editing ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  4. Masked Conditional Diffusion Models for Image Analysis with Application to Radiographic Diagnosis of Infant AbuseDiffusion models → Medical imaging and segmentation
  5. MAIRA-1: A specialised large multimodal model for radiology report generationMultimodal LLMs / vision-language models → Medical vision-language models
  6. Efficient Transformer Knowledge Distillation: A Performance ReviewKnowledge distillation → Knowledge distillation for LLMs
  7. Diffusion models meet image counter-forensicsDiffusion models → Robustness, privacy and adversarial aspects
  8. TDiffDe: A Truncated Diffusion Model for Remote Sensing Hyperspectral Image DenoisingDiffusion models → Inverse problems and image restoration
  9. EA-KD: Entropy-based Adaptive Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  10. Steal My Artworks for Fine-tuning? A Watermarking Framework for Detecting Art Theft Mimicry in Text-to-Image ModelsLLM safety and security → Watermarking generated content and models
  11. Boosting3D: High-Fidelity Image-to-3D by Boosting 2D Diffusion Prior to 3D Prior with Progressive LearningDiffusion models → 3D, point cloud and scene generation
  12. HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction DataMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  13. Retrieval-Augmented Layout Transformer for Content-Aware Layout GenerationRetrieval-augmented generation → Multimodal RAG
  14. On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimatesDiffusion models → Diffusion foundations and sampling
  15. PaSS: Parallel Speculative SamplingEfficient LLM inference and serving → Speculative decoding
  16. Physical Reasoning and Object Planning for Household Embodied AgentsLLM reasoning → Spatial and embodied reasoning +1
  17. WildFusion: Learning 3D-Aware Latent Diffusion Models in View SpaceDiffusion models → 3D, point cloud and scene generation
  18. ADriver-I: A General World Model for Autonomous DrivingWorld models → World models for autonomous driving +1
  19. AlignedCoT: Prompting Large Language Models via Native-Speaking DemonstrationsLLM reasoning → Reasoning benchmarks and evaluation
  20. DiffusionMat: Alpha Matting as Sequential Refinement LearningDiffusion models → 3D, point cloud and scene generation
  21. Accelerating Inference in Molecular Diffusion Models with Latent Representations of Protein StructureDiffusion models → Flow matching, time series and science
  22. Generation of Explanations for Logic ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  23. Guided Flows for Generative Modeling and Decision MakingDiffusion models → Flow matching, time series and science
  24. PG-Video-LLaVA: Pixel Grounding Large Video-Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
  25. Large Language Model as a Policy Teacher for Training Reinforcement Learning AgentsLLM agents and tool use → Reinforcement learning for LLM agents
  26. Curriculum Learning and Imitation Learning for Model-free Control on Financial Time-seriesOffline RL and imitation learning from data → Imitation learning methods
  27. Recognition-Guided Diffusion Model for Scene Text Image Super-ResolutionDiffusion models → Inverse problems and image restoration
  28. ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision RepresentationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  29. Using Human Feedback to Fine-tune Diffusion Models without Any Reward ModelDiffusion models → Diffusion and flow policies for robotics +1
  30. Towards Improving Document Understanding: An Exploration on Text-Grounding via MLLMsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  31. SecureCut: Federated Gradient Boosting Decision Trees with Efficient Machine UnlearningLLM safety and security → Federated unlearning and poisoning
  32. Multimodal Large Language Models: A SurveyMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  33. Towards Responsible Generative AI: A Reference Architecture for Designing Foundation Model based AgentsLLM reasoning → Reasoning for agents, planning and code +1
  34. Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  35. MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learningDiffusion models → Robustness, privacy and adversarial aspects
  36. Enhancing Logical Reasoning in Large Language Models to Facilitate Legal ApplicationsLLM reasoning → Reasoning for agents, planning and code
  37. On the Limitation of Diffusion Models for Synthesizing Training DatasetsDiffusion models → Diffusion foundations and sampling
  38. FusionFrames: Efficient Architectural Aspects for Text-to-Video Generation PipelineDiffusion models → Video generation
  39. PyVRP: a high-performance VRP solver package
  40. Revolutionizing Underwater Exploration of Autonomous Underwater Vehicles (AUVs) and Seabed Image Processing Techniques
  41. SAM4UDASS: When SAM Meets Unsupervised Domain Adaptive Semantic Segmentation in Intelligent Vehicles
  42. Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning
  43. Optimal Linear Signal: An Unsupervised Machine Learning Framework to Optimize PnL with Linear Signals
  44. Docking-based generative approaches in the search for new drug candidates
  45. Input Compression with Positional Consistency for Efficient Training and Inference of Transformer Neural Networks
  46. Robust Errant Beam Prognostics with Conditional Modeling for Particle Accelerators
  47. Functional Analytics for Document Ordering for Curriculum Development and Comprehension
  48. Co-guiding for Multi-intent Spoken Language Understanding
  49. A Posteriori Evaluation of a Physics-Constrained Neural Ordinary Differential Equations Approach Coupled with CFD Solver for Modeling Stiff Chemical Kinetics
  50. Turbocharge Speech Understanding with Pilot Inference
  51. @ve: A Chatbot for Latin
  52. AutoKG: Efficient Automated Knowledge Graph Generation for Language Models
  53. Positional Description Matters for Transformers Arithmetic
  54. Surpassing GPT-4 Medical Coding with a Two-Stage Approach
  55. A Survey of Blockchain, Artificial Intelligence, and Edge Computing for Web 3.0
  56. Comparison of pipeline, sequence-to-sequence, and GPT models for end-to-end relation extraction: experiments with the rare disease use-case
  57. Studying Artist Sentiments around AI-generated Artwork
  58. Deep Learning as a Method for Inversion of NMR Signals
  59. Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning
  60. Deep learning-based instance segmentation for the precise automated quantification of digital breast cancer immunohistochemistry images
  61. A Unified Approach to Count-Based Weakly-Supervised Learning
  62. Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend
  63. DiverseNet: Decision Diversified Semi-supervised Semantic Segmentation Networks for Remote Sensing Imagery
  64. Data Acquisition: A New Frontier in Data-centric AI
  65. A Comprehensive Review of Artificial Intelligence Applications in Major Retinal Conditions
  66. Dynamic Fault Analysis in Substations Based on Knowledge Graphs
  67. Bayes-xG: Player and Position Correction on Expected Goals (xG) using Bayesian Hierarchical Approach
  68. Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI
  69. BackboneLearn: A Library for Scaling Mixed-Integer Optimization-Based Machine Learning
  70. Scalable CP Decomposition for Tensor Learning using GPU Tensor Cores
  71. Next-Generation Earth System Models: Towards Reliable Hybrid Models for Weather and Climate Applications
  72. Beat-Aligned Spectrogram-to-Sequence Generation of Rhythm-Game Charts
  73. Single-Shot Plug-and-Play Methods for Inverse Problems
  74. Compact 3D Gaussian Representation for Radiance Field
  75. A Joint Gradient and Loss Based Clustered Federated Learning Design
  76. Sample as You Infer: Predictive Coding With Langevin Dynamics
  77. BenthIQ: a Transformer-Based Benthic Classification Model for Coral Restoration
  78. Panda or not Panda? Understanding Adversarial Attacks with Interactive Visualization
  79. GAN-Avatar: Controllable Personalized GAN-based Human Head Avatar
  80. Evaluating Pretrained models for Deployable Lifelong Learning
  81. Language Model Inversion
  82. Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models
  83. Vamos: Versatile Action Models for Video Understanding
  84. Physics-driven generative adversarial networks empower single-pixel infrared hyperspectral imaging
  85. A Theoretical Insight into Attack and Defense of Gradient Leakage in Transformer
  86. Density Distribution-based Learning Framework for Addressing Online Continual Learning Challenges
  87. The Challenges of Image Generation Models in Generating Multi-Component Images
  88. Online Video Quality Enhancement with Spatial-Temporal Look-up Tables
  89. HEViTPose: High-Efficiency Vision Transformer for Human Pose Estimation
  90. Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning
  91. Visual In-Context Prompting
  92. ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs
  93. T-Rex: Counting by Visual Prompting
  94. Covariance alignment: from maximum likelihood estimation to Gromov-Wasserstein
  95. Labeling Neural Representations with Inverse Recognition
  96. Risk-sensitive Markov Decision Process and Learning under General Utility Functions
  97. A Survey of Serverless Machine Learning Model Inference
  98. Adaptive Sampling for Deep Learning via Efficient Nonparametric Proxies
  99. σ-PCA: a building block for neural learning of identifiable linear transformations
  100. XAGen: 3D Expressive Human Avatars Generation
All 227
  1. Drilling Down into the Discourse Structure with LLMs for Long Document Question Answering
  2. Soulstyler: Using Large Language Model to Guide Image Style Transfer for Target Object
  3. Transfer Learning-based Real-time Handgun Detection
  4. A Unified Framework for Trace-induced Quantum Kernels
  5. Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling
  6. Medical Image Retrieval Using Pretrained Embeddings
  7. Enigma: Application-Layer Privacy for Quantum Optimization on Untrusted Computers
  8. Piecewise Polynomial Regression of Tame Functions via Integer Programming
  9. Linear Log-Normal Attention with Unbiased Concentration
  10. Learned Nonlinear Predictor for Critically Sampled 3D Point Cloud Attribute Compression
  11. LM-Cocktail: Resilient Tuning of Language Models via Model Merging
  12. Leveraging CNNs and Ensemble Learning for Automated Disaster Image Classification
  13. Hybrid Whale-Mud-Ring Optimization for Precise Color Skin Cancer Image Segmentation
  14. Naturalness of Attention: Revisiting Attention in Code Language Models
  15. Applying Dimensionality Reduction as Precursor to LSTM-CNN Models for Classifying Imagery and Motor Signals in ECoG-Based BCIs
  16. Bitformer: An efficient Transformer with bitwise operation-based attention for Big Data Analytics at low-cost low-precision devices
  17. Current Topological and Machine Learning Applications for Bias Detection in Text
  18. Grad-Shafranov equilibria via data-free physics informed neural networks
  19. Benchmarking Toxic Molecule Classification using Graph Neural Networks and Few Shot Learning
  20. Deep-learning-based acceleration of MRI for radiotherapy planning of pediatric patients with brain tumors
  21. Machine Translation to Control Formality Features in the Target Language
  22. Complexity-Guided Curriculum Learning for Text Graphs
  23. Comparative Analysis of Linear Regression, Gaussian Elimination, and LU Decomposition for CT Real Estate Purchase Decisions
  24. Span-Based Optimal Sample Complexity for Average Reward MDPs
  25. Multi-Objective Bayesian Optimization with Active Preference Learning
  26. The Tempered Hilbert Simplex Distance and Its Application To Non-linear Embeddings of TEMs
  27. Explaining high-dimensional text classifiers
  28. Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates
  29. Transfer Attacks and Defenses for Large Language Models on Coding Tasks
  30. SkeletonGait: Gait Recognition Using Skeleton Maps
  31. Recurrent neural networks and transfer learning for elasto-plasticity in woven composites
  32. Extracting individual variable information for their decoupling, direct mutual information and multi-feature Granger causality
  33. From Images to Connections: Can DQN with GNNs learn the Strategic Game of Hex?
  34. Bayesian inference of a new Mallows model for characterising symptom sequences applied in primary progressive aphasia
  35. CompenHR: Efficient Full Compensation for High-resolution Projector
  36. Animatable 3D Gaussians for High-fidelity Synthesis of Human Motions
  37. Depth-Regularized Optimization for 3D Gaussian Splatting in Few-Shot Images
  38. SegVol: Universal and Interactive Volumetric Medical Image Segmentation
  39. LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes
  40. Confidant: Customizing Transformer-based LLMs via Collaborative Edge Training
  41. Analyzing the Evolution and Maintenance of ML Models on Hugging Face
  42. Pruning-Based Extraction of Descriptions from Probabilistic Circuits
  43. Point Projection Mapping System for Tracking, Registering, Labeling and Validating Optical Tissue Measurements
  44. An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams
  45. MRGazer: Decoding Eye Gaze Points from Functional Magnetic Resonance Imaging in Individual Space
  46. Applying Large Language Models to Power Systems: Potential Security Threats
  47. Uncertainty Estimation in Multi-Agent Distributed Learning
  48. Unified Classification and Rejection: A One-versus-All Framework
  49. Fact-based Court Judgment Prediction
  50. REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints
  51. MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation
  52. Learning principle and mathematical realization of the learning mechanism in the brain
  53. High-Quality Face Caricature via Style Translation
  54. Quantum learning and essential cognition under the traction of meta-characteristics in an open world
  55. Revisiting Supervision for Continual Representation Learning
  56. Deep Learning for Vascular Segmentation and Applications in Phase Contrast Tomography Imaging
  57. Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-based Retrofitting
  58. Rethinking Radiology Report Generation via Causal Inspired Counterfactual Augmentation
  59. Retargeting Visual Data with Deformation Fields
  60. Probabilistic Inference in Reinforcement Learning Done Right
  61. The Influence of Neural Networks on Hydropower Plant Management in Agriculture: Addressing Challenges and Exploring Untapped Opportunities
  62. Algorithmic Transparency and Manipulation
  63. Improving performance of heart rate time series classification by grouping subjects
  64. Intention and Context Elicitation with Large Language Models in the Legal Aid Intake Process
  65. Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective
  66. Enhancing Summarization Performance through Transformer-Based Prompt Engineering in Automated Medical Reporting
  67. Comparative Experimentation of Accuracy Metrics in Automated Medical Reporting: The Case of Otitis Consultations
  68. FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning
  69. Improved identification accuracy in equation learning via comprehensive boldsymbolR2-elimination and Bayesian model selection
  70. CMFDFormer: Transformer-based Copy-Move Forgery Detection with Continual Learning
  71. The Rise of Creative Machines: Exploring the Impact of Generative AI
  72. Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides
  73. Unified Domain Adaptive Semantic Segmentation
  74. FedHCA2: Towards Hetero-Client Federated Multi-Task Learning
  75. A projected nonlinear state-space model for forecasting time series signals
  76. CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction Tuning
  77. A model-free approach to fingertip slip and disturbance detection for grasp stability inference
  78. Hard Label Black Box Node Injection Attack on Graph Neural Networks
  79. On the Calibration of Large Language Models and Alignment
  80. TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer
  81. A Survey of Adversarial CAPTCHAs on its History, Classification and Generation
  82. Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus
  83. Robot at the Mirror: Learning to Imitate via Associating Self-supervised Models
  84. NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments
  85. Towards Detecting, Recognizing, and Parsing the Address Information from Bangla Signboard: A Deep Learning-based Approach
  86. Artificial Intelligence in the Service of Entrepreneurial Finance: Knowledge Structure and the Foundational Algorithmic Paradigm
  87. Fast-Slow Test-Time Adaptation for Online Vision-and-Language Navigation
  88. Breast Cancer classification by adaptive weighted average ensemble of previously trained models
  89. Self-guided Few-shot Semantic Segmentation for Remote Sensing Imagery Based on Large Vision Models
  90. Two-stage Synthetic Supervising and Multi-view Consistency Self-supervising based Animal 3D Reconstruction by Single Image
  91. DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory
  92. Cracking the Code of Negative Transfer: A Cooperative Game Theoretic Approach for Cross-Domain Sequential Recommendation
  93. NeISF: Neural Incident Stokes Field for Geometry and Material Estimation
  94. Applications of Spiking Neural Networks in Visual Place Recognition
  95. Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation
  96. Differentiable Radio Frequency Ray Tracing for Millimeter-Wave Sensing
  97. Provably Efficient High-Dimensional Bandit Learning with Batched Feedbacks
  98. Volumetric Reconstruction Resolves Off-Resonance Artifacts in Static and Dynamic PROPELLER MRI
  99. Learning to Complement with Multiple Humans
  100. ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization
  101. SiGeo: Sub-One-Shot NAS via Information Theory and Geometry of Loss Landscape
  102. 3D Face Style Transfer with a Hybrid Solution of NeRF and Mesh Rasterization
  103. AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems
  104. Have Your Cake and Eat It Too: Toward Efficient and Accurate Split Federated Learning
  105. Large Language Models in Education: Vision and Opportunities
  106. Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow
  107. Testing Closeness of Multivariate Distributions via Ramsey Theory
  108. Test-Time Augmentation for 3D Point Cloud Classification and Segmentation
  109. Optimal Transport with Cyclic Symmetry
  110. Single Image Compressed Sensing MRI via a Self-Supervised Deep Denoising Approach
  111. Lightweight High-Speed Photography Built on Coded Exposure and Implicit Neural Representation of Videos
  112. LIMIT: Less Is More for Instruction Tuning Across Evaluation Paradigms
  113. P2RBox: Point Prompt Oriented Object Detection with SAM
  114. Towards Better Parameter-Efficient Fine-Tuning for Large Language Models: A Position Paper
  115. DAE-Net: Deforming Auto-Encoder for fine-grained shape co-segmentation
  116. Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizer
  117. Combatting Human Trafficking in the Cyberspace: A Natural Language Processing-Based Methodology to Analyze the Language in Online Advertisements
  118. White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?
  119. Perceptual Structure in the Absence of Grounding for LLMs: The Impact of Abstractedness and Subjectivity in Color Language
  120. Detecting out-of-distribution text using topological features of transformer-based language models
  121. Automated Measurement of Pericoronary Adipose Tissue Attenuation and Volume in CT Angiography
  122. PIE-NeRF: Physics-based Interactive Elastodynamics with NeRF
  123. Newton-CG methods for nonconvex unconstrained optimization with H"older continuous Hessian
  124. Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise
  125. Predict-Then-Optimize by Proxy: Learning Joint Models of Prediction and Optimization
  126. Learning to Fly in Seconds
  127. FuseNet: Self-Supervised Dual-Path Network for Medical Image Segmentation