mlsanityData to 7 Oct 2026

Papers

New on arXiv

Tue 21 Nov 2023

265 papers

  1. A Baseline Analysis of Reward Models' Ability To Accurately Analyze Foundation Models Under Distribution ShiftLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  2. From Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language ModelsLLM reasoning → Clinical and biomedical applications
  3. CovarNav: Machine Unlearning via Model Inversion and Covariance NavigationLLM safety and security → Machine unlearning
  4. RLIF: Interactive Imitation Learning as Reinforcement LearningOffline RL and imitation learning from data → Imitation learning methods
  5. SD-NAE: Generating Natural Adversarial Examples with Stable DiffusionDiffusion models → Robustness, privacy and adversarial aspects
  6. Diffusion Model Alignment Using Direct Preference OptimizationWorld models → World models for language agents +2
  7. ShareGPT4V: Improving Large Multi-Modal Models with Better CaptionsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  8. Attacks on fairness in Federated LearningLLM safety and security → Federated unlearning and poisoning
  9. From Concept to Manufacturing: Evaluating Vision-Language Models for Engineering DesignMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
  10. KNVQA: A Benchmark for evaluation knowledge-based VQALLM reasoning → Multimodal reasoning +1
  11. GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT PlanningDiffusion models → Video generation
  12. From Wrong To Right: A Recursive Approach Towards Vision-Language ExplanationLLM reasoning → Multimodal reasoning +1
  13. Stable Diffusion For Aerial Object DetectionDiffusion models → Image generation, text-to-image and editing
  14. LoCo: Locally Constrained Training-Free Layout-to-Image SynthesisDiffusion models → Image generation, text-to-image and editing
  15. Enhancing Visual Grounding and Generalization: A Multi-Task Cycle Training Approach for Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  16. A Survey on Multimodal Large Language Models for Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
  17. Generating Progressive Images from Pathological Transitions via Diffusion ModelDiffusion models → Medical imaging and segmentation
  18. ATLANTIC: Structure-Aware Retrieval-Augmented Language Model for Interdisciplinary ScienceRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  19. Learning with Chemical versus Electrical Synapses -- Does it Make a Difference?
  20. QuasiNet: a neural network with trainable product layers
  21. A Distributed Neural Linear Thompson Sampling Framework to Achieve URLLC in Industrial IoT
  22. Analyzing Behaviors of Mixed Traffic via Reinforcement Learning at Unsignalized Intersections
  23. Differentiable Visual Computing for Inverse Problems and Machine Learning
  24. Sentiment Analysis of Twitter Posts on Global Conflicts
  25. Privacy-Preserving Load Forecasting via Personalized Model Obfuscation
  26. FBChain: A Blockchain-based Federated Learning Model with Efficiency and Secure Communication
  27. Learning and Controlling Silicon Dopant Transitions in Graphene using Scanning Transmission Electron Microscopy
  28. Data Diversity Matters for Robust Instruction Tuning
  29. Generative Machine Learning for Multivariate Equity Returns
  30. Thinking Outside the Box: Orthogonal Approach to Equalizing Protected Attributes
  31. Deep State-Space Model for Predicting Cryptocurrency Price
  32. Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning
  33. TRIDENT: The Nonlinear Trilogy for Implicit Neural Representations
  34. Breathing Life Into Sketches Using Text-to-Video Priors
  35. Attribution and Alignment: Effects of Local Context Repetition on Utterance Production and Comprehension in Dialogue
  36. Training 3D ResNets to Extract BSM Physics Parameters from Simulated Data
  37. A note on estimating the dimension from a random geometric graph
  38. Beyond Text: Unveiling Multimodal Proficiency of Large Language Models with MultiAPI Benchmark
  39. Novel OCT mosaicking pipeline with Feature- and Pixel-based registration
  40. Latent Lab: Large Language Models for Knowledge Exploration
  41. Multi-fidelity Bayesian Optimization: A Review
  42. Do we listen to what we are told? An empirical study on human behaviour during the COVID-19 pandemic: neural networks vs. regression analysis
  43. Camera-Independent Single Image Depth Estimation from Defocus Blur
  44. Synaptic Sampling of Neural Networks
  45. Favour: FAst Variance Operator for Uncertainty Rating
  46. Systematic word meta-sense extension
  47. DMLR: Data-centric Machine Learning Research -- Past, Present and Future
  48. Unsupervised Multimodal Surface Registration with Geometric Deep Learning
  49. GeoLocator: a location-integrated large multimodal model for inferring geo-privacy
  50. W-Kernel and Its Principal Space for Frequentist Evaluation of Bayesian Estimators
  51. Image-Based Soil Organic Carbon Remote Sensing from Satellite Images with Fourier Neural Operator and Structural Similarity
  52. Fast and Interpretable Mortality Risk Scores for Critical Care Patients
  53. 3D Compression Using Neural Fields
  54. Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks
  55. AI for Agriculture: the Comparison of Semantic Segmentation Methods for Crop Mapping with Sentinel-2 Imagery
  56. FollowMe: a Robust Person Following Framework Based on Re-Identification and Gestures
  57. NERIF: GPT-4V for Automatic Scoring of Drawn Models
  58. Unsupervised Graph Attention Autoencoder for Attributed Networks using K-means Loss
  59. GAIA: a benchmark for General AI Assistants
  60. Neural Approximate Dynamic Programming for the Ultra-fast Order Dispatching Problem
  61. Clustered Policy Decision Ranking
  62. Robustifying Generalizable Implicit Shape Networks with a Tunable Non-Parametric Model
  63. Innovative Horizons in Aerial Imagery: LSKNet Meets DiffusionDet for Advanced Object Detection
  64. PINNs-Based Uncertainty Quantification for Transient Stability Analysis
  65. SkyCharge: Deploying Unmanned Aerial Vehicles for Dynamic Load Optimization in Solar Small Cell 5G Networks
  66. InteRACT: Transformer Models for Human Intent Prediction Conditioned on Robot Actions
  67. Hierarchical Learning for Quantum ML: Novel Training Technique for Large-Scale Variational Quantum Circuits
  68. SPOT! Revisiting Video-Language Models for Event Understanding
  69. Deep Learning-Based Real-Time Quality Control of Standard Video Compression for Live Streaming
  70. Orchard: building large cancer phylogenies using stochastic combinatorial search
  71. Neural-Integrated Meshfree (NIM) Method: A differentiable programming-based hybrid solver for computational mechanics
  72. Attention Deficit is Ordered! Fooling Deformable Vision Transformers with Collaborative Adversarial Patches
  73. Q-Seg: Quantum Annealing-Based Unsupervised Image Segmentation
  74. Non-Sequential Ensemble Kalman Filtering using Distributed Arrays
  75. Nonlinear System Identification of Swarm of UAVs Using Deep Learning Methods
  76. Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer
  77. Learning to Compute Gr"obner Bases
  78. Enhancing Solutions for Complex PDEs: Introducing Complementary Convolution and Equivariant Attention in Fourier Neural Operators
  79. From Microbes to Methane: AI-Based Predictive Modeling of Feed Additive Efficacy in Dairy Cows
  80. Attribute-Aware Deep Hashing with Self-Consistency for Large-Scale Fine-Grained Image Retrieval
  81. A Safer Vision-based Autonomous Planning System for Quadrotor UAVs with Dynamic Obstacle Trajectory Prediction and Its Application with LLMs
  82. IMJENSE: Scan-specific Implicit Representation for Joint Coil Sensitivity and Image Estimation in Parallel MRI
  83. Text-Guided Texturing by Synchronized Multi-View Diffusion
  84. De-fine: Decomposing and Refining Visual Programs with Auto-Feedback
  85. Enhancing Scene Graph Generation with Hierarchical Relationships and Commonsense Knowledge
  86. Acceleration and Implicit Regularization in Gaussian Phase Retrieval
  87. AnimateAnything: Fine-Grained Open Domain Image Animation with Motion Guidance
  88. Long-MIL: Scaling Long Contextual Multiple Instance Learning for Histopathology Whole Slide Image Analysis
  89. Physics-guided Shape-from-Template: Monocular Video Perception through Neural Surrogate Models
  90. Intrinsic Image Decomposition via Ordinal Shading
  91. Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks
  92. Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond 1+α Moments
  93. Quantifying Impairment and Disease Severity Using AI Models Trained on Healthy Subjects
  94. SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
  95. Iris Presentation Attack: Assessing the Impact of Combining Vanadium Dioxide Films with Artificial Eyes
  96. Swift Parameter-free Attention Network for Efficient Super-Resolution
  97. Investigating Weight-Perturbed Deep Neural Networks With Application in Iris Presentation Attack Detection
  98. High-resolution Image-based Malware Classification using Multiple Instance Learning
  99. Digital Twin Framework for Optimal and Autonomous Decision-Making in Cyber-Physical Systems: Enhancing Reliability and Adaptability in the Oil and Gas Industry
  100. SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction
All 265
  1. Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching
  2. Learning to Optimise Wind Farms with Graph Transformers
  3. Image Transformation for IoT Time-Series Data: A Review
  4. Content Augmented Graph Neural Networks
  5. Exploring Graph Classification Techniques Under Low Data Constraints: A Comprehensive Study
  6. LowResource at BLP-2023 Task 2: Leveraging BanglaBert for Low Resource Sentiment Analysis of Bangla Language
  7. Soft Random Sampling: A Theoretical and Empirical Analysis
  8. Attacking Motion Planners Using Adversarial Perception Errors
  9. Development of a Legal Document AI-Chatbot
  10. minimax: Efficient Baselines for Autocurricula in JAX
  11. Alpha Zero for Physics: Application of Symbolic Regression with Alpha Zero to find the analytical methods in physics
  12. Regression-Based Analysis of Multimodal Single-Cell Data Integration Strategies
  13. Keeping Users Engaged During Repeated Administration of the Same Questionnaire: Using Large Language Models to Reliably Diversify Questions
  14. Cascade Learning Localises Discriminant Features in Visual Scene Classification
  15. Explore the Potential of LLMs in Misinformation Detection: An Empirical Study
  16. Fair Text Classification with Wasserstein Independence
  17. On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning
  18. Continuous Management of Machine Learning-Based Application Behavior
  19. Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation
  20. Transferring to Real-World Layouts: A Depth-aware Framework for Scene Adaptation
  21. BundleMoCap: Efficient, Robust and Smooth Motion Capture from Sparse Multiview Videos
  22. Interpretation of the Transformer and Improvement of the Extractor
  23. Contrastive Left-Right Wearable Sensors (IMUs) Consistency Matching for HAR
  24. Predictive Density Combination Using a Tree-Based Synthesis Function
  25. Towards a more inductive world for drug repurposing approaches
  26. SSVEP-DAN: A Data Alignment Network for SSVEP-based Brain Computer Interfaces
  27. The DURel Annotation Tool: Human and Computational Measurement of Semantic Proximity, Sense Clusters and Semantic Change
  28. Similar Document Template Matching Algorithm
  29. Visually Guided Object Grasping
  30. Carbohydrate NMR chemical shift predictions using E(3) equivariant graph neural networks
  31. Hand-Eye Calibration
  32. PARK: Parkinson's Analysis with Remote Kinetic-tasks
  33. FedDRO: Federated Compositional Optimization for Distributionally Robust Learning
  34. Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile Robots
  35. MathGloss: Building mathematical glossaries from text
  36. Careful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes
  37. Polyhedral Object Recognition by Indexing
  38. Hierarchical Joint Graph Learning and Multivariate Time Series Forecasting
  39. Bridging Algorithmic Information Theory and Machine Learning: A New Approach to Kernel Learning
  40. Bridging Generalization Gaps in High Content Imaging Through Online Self-Supervised Domain Adaptation
  41. Crowd management, crime detection, work monitoring using aiml
  42. Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning
  43. Koopman Learning with Episodic Memory
  44. Decentralised Q-Learning for Multi-Agent Markov Decision Processes with a Satisfiability Criterion
  45. A New Type Of Upper And Lower Bounds On Right-Tail Probabilities Of Continuous Random Variables
  46. VALUED -- Vision and Logical Understanding Evaluation Dataset
  47. Density-Guided Dense Pseudo Label Selection For Semi-supervised Oriented Object Detection
  48. Trustworthy AI: Deciding What to Decide
  49. Surgical Temporal Action-aware Network with Sequence Regularization for Phase Recognition
  50. TouchSDF: A DeepSDF Approach for 3D Shape Reconstruction using Vision-Based Tactile Sensing
  51. Deep learning-based detection of morphological features associated with hypoxia in H&E breast cancer whole slide images
  52. Visual tracking brain computer interface
  53. ChronoPscychosis: Temporal Segmentation and Its Impact on Schizophrenia Classification Using Motor Activity Data
  54. Improving Source-Free Target Adaptation with Vision Transformers Leveraging Domain Representation Images
  55. HiPose: Hierarchical Binary Surface Encoding and Correspondence Pruning for RGB-D 6DoF Object Pose Estimation
  56. Echocardiogram Foundation Model -- Application 1: Estimating Ejection Fraction
  57. A Region of Interest Focused Triple UNet Architecture for Skin Lesion Segmentation
  58. Machine-Guided Discovery of a Real-World Rogue Wave Model
  59. IMGTB: A Framework for Machine-Generated Text Detection Benchmarking
  60. Moderating Model Marketplaces: Platform Governance Puzzles for AI Intermediaries
  61. Scheduling Distributed Flexible Assembly Lines using Safe Reinforcement Learning with Soft Shielding
  62. BEND: Benchmarking DNA Language Models on biologically meaningful tasks
  63. Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick
  64. Variational Elliptical Processes
  65. Summary of the DISPLACE Challenge 2023 - DIarization of SPeaker and LAnguage in Conversational Environments
  66. Multi-Resolution Planar Region Extraction for Uneven Terrains
  67. Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed?
  68. Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors
  69. HoVer-UNet: Accelerating HoVerNet with UNet-based multi-class nuclei segmentation via knowledge distillation
  70. Explainable Time Series Anomaly Detection using Masked Latent Generative Modeling
  71. Multi-Session Budget Optimization for Forward Auction-based Federated Learning
  72. Learning optimal smooth invariant subspaces for data approximation
  73. GMISeg: General Medical Image Segmentation without Re-Training
  74. In-Context Learning Functions with Varying Number of Minima
  75. Oasis: Data Curation and Assessment System for Pretraining of Large Language Models
  76. Evaluation Metrics of Language Generation Models for Synthetic Traffic Generation Tasks
  77. An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation
  78. Inverse Problems with Learned Forward Operators
  79. Neural Network Pruning by Gradient Descent
  80. ALPHA: AnomaLous Physiological Health Assessment Using Large Language Models
  81. Classification of Tabular Data by Text Processing
  82. Fair Polylog-Approximate Low-Cost Hierarchical Clustering
  83. Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and Framework
  84. Heuristics for Detecting CoinJoin Transactions on the Bitcoin Blockchain
  85. Hyb-NeRF: A Multiresolution Hybrid Encoding for Neural Radiance Fields
  86. Multilingual Word Embeddings for Low-Resource Languages using Anchors and a Chain of Related Languages
  87. HCA-Net: Hierarchical Context Attention Network for Intervertebral Disc Semantic Labeling
  88. Speaker-Adapted End-to-End Visual Speech Recognition for Continuous Spanish
  89. Fin-QD: A Computational Design Framework for Soft Grippers: Integrating MAP-Elites and High-fidelity FEM
  90. MaskFlow: Object-Aware Motion Estimation
  91. PhayaThaiBERT: Enhancing a Pretrained Thai Language Model with Unassimilated Loanwords
  92. CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature Reviews
  93. Seeing the Unseen: Learning Basis Confounder Representations for Robust Traffic Prediction
  94. Analysis of Visual Features for Continuous Lipreading in Spanish
  95. GLAD: Global-Local View Alignment and Background Debiasing for Unsupervised Video Domain Adaptation with Large Domain Gap
  96. Towards a Gateway for Knowledge Graph Schemas Collection, Analysis, and Embedding
  97. HiFi-Syn: Hierarchical Granularity Discrimination for High-Fidelity Synthesis of MR Images with Structure Preservation
  98. LIP-RTVE: An Audiovisual Database for Continuous Spanish in the Wild
  99. HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech Synthesis
  100. Extracting Definienda in Mathematical Scholarly Articles with Transformers
  101. Designing Long-term Group Fair Policies in Dynamical Systems
  102. Knowledge Base Enabled Semantic Communication: A Generative Perspective
  103. Harnessing FPGA Technology for Enhanced Biomedical Computation
  104. Learning Site-specific Styles for Multi-institutional Unsupervised Cross-modality Domain Adaptation
  105. Classifier Calibration with ROC-Regularized Isotonic Regression
  106. Fair Enough? A map of the current limitations of the requirements to have fair algorithms
  107. A recurrent connectionist model of melody perception : An exploration using TRACX2
  108. AR Visualization System for Ship Detection and Recognition Based on AI
  109. Looped Transformers are Better at Learning Learning Algorithms
  110. Two Views Are Better than One: Monocular 3D Pose Estimation with Multiview Consistency
  111. How Far Have We Gone in Vulnerability Detection Using Large Language Models
  112. Board-to-Board: Evaluating Moonboard Grade Prediction Generalization
  113. Visual Analytics for Generative Transformer Models
  114. nach0: Multimodal Natural and Chemical Languages Foundation Model
  115. Learning Part Motion of Articulated Objects Using Spatially Continuous Neural Implicit Representations
  116. IndoRobusta: Towards Robustness Against Diverse Code-Mixed Indonesian Local Languages
  117. InterPrompt: Interpretable Prompting for Interrelated Interpersonal Risk Factors in Reddit Posts
  118. CASR: Refining Action Segmentation via Marginalizing Frame-levle Causal Relationships
  119. A Survey of Graph Meets Large Language Model: Progress and Future Directions
  120. RFTrans: Leveraging Refractive Flow of Transparent Objects for Surface Normal Estimation and Manipulation
  121. PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection
  122. Problems of Non-equivalent Words in Technical Translation
  123. Individualized Dynamic Latent Factor Model for Multi-resolutional Data with Application to Mobile Health
  124. Point, Segment and Count: A Generalized Framework for Object Counting
  125. Infinite forecast combinations based on Dirichlet process
  126. The Obscure Limitation of Modular Multilingual Language Models
  127. Beyond Turing: A Comparative Analysis of Approaches for Detecting Machine-Generated Text
  128. Semi-supervised Medical Image Segmentation via Query Distribution Consistency
  129. Shedding the Bits: Pushing the Boundaries of Quantization with Minifloats on FPGAs
  130. Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence
  131. Random Linear Projections Loss for Hyperplane-Based Optimization in Neural Networks
  132. Utilizing Language Models for Tour Itinerary Recommendation
  133. Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey
  134. Modality Mixer Exploiting Complementary Information for Multi-modal Action Recognition
  135. A Survey on Large Language Models for Personalized and Explainable Recommendations
  136. Do Smaller Language Models Answer Contextualised Questions Through Memorisation Or Generalisation?
  137. Classification of Instagram fake users using supervised machine learning algorithms
  138. Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering
  139. Quantum-Enhanced Support Vector Machine for Large-Scale Stellar Classification with GPU Acceleration
  140. Modeling Political Orientation of Social Media Posts: An Extended Analysis
  141. A unified consensus-based parallel ADMM algorithm for high-dimensional regression with combined regularizations
  142. AcademicGPT: Empowering Academic Research
  143. ABFL: Angular Boundary Discontinuity Free Loss for Arbitrary Oriented Object Detection in Aerial Images
  144. IEKM: A Model Incorporating External Keyword Matrices
  145. Power grid operational risk assessment using graph neural network surrogates
  146. Causality is all you need
  147. Discovering Effective Policies for Land-Use Planning with Neuroevolution
  148. Detecting subtle macroscopic changes in a finite temperature classical scalar field with machine learning
  149. Challenges in Video-Based Infant Action Recognition: A Critical Examination of the State of the Art
  150. Noise in Relation Classification Dataset TACRED: Characterization and Reduction
  151. Mapping "Brain Terrain" Regions on Mars using Deep Learning
  152. Instance-aware 3D Semantic Segmentation powered by Shape Generators and Classifiers
  153. A Supervised Contrastive Learning Pretrain-Finetune Approach for Time Series
  154. Adapting LLMs for Efficient, Personalized Information Retrieval: Methods and Implications
  155. Orthogonally weighted ℓ2,1 regularization for rank-aware joint sparse recovery: algorithm and analysis
  156. Probabilistic Forecast Reconciliation with Kullback-Leibler Divergence Regularization
  157. Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis
  158. Procedural Generation of Grain Orientations using the Wave Function Collapse Algorithm
  159. Boosting Audio-visual Zero-shot Learning with Large Language Models
  160. Learning Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity
  161. Virtual Home Staging: Inverse Rendering and Editing an Indoor Panorama under Natural Illumination
  162. Resilient Control of Networked Microgrids using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations
  163. EnduRL: Enhancing Safety, Stability, and Efficiency of Mixed Traffic Under Real-World Perturbations Via Reinforcement Learning
  164. Exploring Time Granularity on Temporal Graphs for Dynamic Link Prediction in Real-world Networks
  165. The limitation of neural nets for approximation and optimization