mlsanityData to 7 Oct 2026

Papers

New on arXiv

Mon 21 Aug 2023

234 papers

  1. "Guinea Pig Trials" Utilizing GPT: A Novel Smart Agent-Based Modeling Approach for Studying Firm Competition and CollusionLLM agents and tool use → Financial trading and forecasting agents
  2. Diffusion Model as Representation LearnerDiffusion models → Diffusion foundations and sampling
  3. Structured World Models from Human VideosWorld models → Embodied and robot world models
  4. LatEval: An Interactive LLMs Evaluation Benchmark with Incomplete Information from Lateral Thinking PuzzlesLLM reasoning → Reasoning benchmarks and evaluation
  5. AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent BehaviorsLLM agents and tool use → General LLM agent frameworks and benchmarks
  6. Enhancing Recommender Systems with Large Language Model Reasoning GraphsLLM reasoning → LLM reasoning for recommendation
  7. WanJuan: A Comprehensive Multimodal Dataset for Advancing English and Chinese Large ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  8. On the Adversarial Robustness of Multi-Modal Foundation ModelsLLM safety and security → Vision-language and text-to-image safety
  9. Backdooring Textual Inversion for Concept CensorshipDiffusion models → Robustness, privacy and adversarial aspects +1
  10. EVE: Efficient zero-shot text-based Video Editing with Depth Map Guidance and Temporal Consistency ConstraintsDiffusion models → Video generation
  11. RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language ModelsRetrieval-augmented generation → Generation and context integration
  12. Exploring Equation as a Better Intermediate Meaning Representation for Numerical ReasoningLLM reasoning → Mathematical reasoning
  13. Frequency Compensated Diffusion Model for Real-scene DehazingDiffusion models → Inverse problems and image restoration
  14. An Examination of the Compositionality of Large Generative Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  15. Texture Generation on 3D Meshes with Point-UV DiffusionDiffusion models → 3D, point cloud and scene generation
  16. Deciphering Raw Data in Neuro-Symbolic Learning with Provable GuaranteesLLM reasoning → Reasoning benchmarks and evaluation
  17. Elucidating STEM Concepts through Generative AI: A Multi-modal Exploration of Analogical ReasoningLLM reasoning → Mathematical reasoning
  18. Multi-GradSpeech: Towards Diffusion-based Multi-Speaker Text-to-speech Using Consistent Diffusion ModelsDiffusion models → Audio, speech and music
  19. Split UnlearningLLM safety and security → Machine unlearning
  20. Malware Classification using Deep Neural Networks: Performance Evaluation and Applications in Edge Devices
  21. A Multi-Agent Systems Approach for Peer-to-Peer Energy Trading in Dairy Farming
  22. MV-DeepSDF: Implicit Modeling with Multi-Sweep Point Clouds for 3D Vehicle Reconstruction in Autonomous Driving
  23. Artificial Intelligence and Aesthetic Judgment
  24. ActiveAI: Introducing AI Literacy for Middle School Learners with Goal-based Scenario Learning
  25. Unreflected Acceptance -- Investigating the Negative Consequences of ChatGPT-Assisted Problem Solving in Physics Education
  26. Feature Extraction Using Deep Generative Models for Bangla Text Classification on a New Comprehensive Dataset
  27. Impact of geolocation data on augmented reality usability: A comparative user test
  28. Towards Ubiquitous Intelligent Hand Interaction
  29. LaGR-SEQ: Language-Guided Reinforcement Learning with Sample-Efficient Querying
  30. FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning
  31. Fat Shattering, Joint Measurability, and PAC Learnability of POVM Hypothesis Classes
  32. VQA Therapy: Exploring Answer Differences by Visually Grounding Answers
  33. An engine to simulate insurance fraud network data
  34. Pseudo-online framework for BCI evaluation: A MOABB perspective
  35. What's Race Got to do with it? Predicting Youth Depression Across Racial Groups Using Machine and Deep Learning
  36. Refashioning Emotion Recognition Modelling: The Advent of Generalised Large Models
  37. PlatoLM: Teaching LLMs in Multi-Round Dialogue via a User Simulator
  38. Collaborative Route Planning of UAVs, Workers and Cars for Crowdsensing in Disaster Response
  39. Stress representations for tensor basis neural networks: alternative formulations to Finger-Rivlin-Ericksen
  40. Long-Term Prediction of Natural Video Sequences with Robust Video Predictors
  41. A Deep Dive into the Connections Between the Renormalization Group and Deep Learning in the Ising Model
  42. Audio-Visual Class-Incremental Learning
  43. TeD-SPAD: Temporal Distinctiveness for Self-supervised Privacy-preservation for video Anomaly Detection
  44. Neural Amortized Inference for Nested Multi-agent Reasoning
  45. Temporal-Distributed Backdoor Attack Against Video Based Action Recognition
  46. Topological Graph Signal Compression
  47. CSM-H-R: A Context Modeling Framework in Supporting Reasoning Automation for Interoperable Intelligent Systems and Privacy Protection
  48. MetaGCD: Learning to Continually Learn in Generalized Category Discovery
  49. UnLoc: A Unified Framework for Video Localization Tasks
  50. Ultra Dual-Path Compression For Joint Echo Cancellation And Noise Suppression
  51. Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic Segmentation
  52. Harmonization Across Imaging Locations(HAIL): One-Shot Learning for Brain MRI
  53. Spurious Correlations and Where to Find Them
  54. On Exact Bayesian Credible Sets for Classification and Pattern Recognition
  55. Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics
  56. Coordinate Quantized Neural Implicit Representations for Multi-view Reconstruction
  57. Extreme Multilabel Classification for Specialist Doctor Recommendation with Implicit Feedback and Limited Patient Metadata
  58. Multi-Task Hypergraphs for Semi-supervised Learning using Earth Observations
  59. Towards Objective Evaluation of Socially-Situated Conversational Robots: Assessing Human-Likeness through Multimodal User Behaviors
  60. Instance-based Learning with Prototype Reduction for Real-Time Proportional Myocontrol: A Randomized User Study Demonstrating Accuracy-preserving Data Reduction for Prosthetic Embedded Systems
  61. Spectral Graphormer: Spectral Graph-based Transformer for Egocentric Two-Hand Reconstruction using Multi-View Color Images
  62. Personalized Event Prediction for Electronic Health Records
  63. Using language models in the implicit automated assessment of mathematical short answer items
  64. Autonomous Detection of Methane Emissions in Multispectral Satellite Data Using Deep Learning
  65. Switched auxiliary loss for robust training of transformer models for histopathological image segmentation
  66. Econometrics of Machine Learning Methods in Economic Forecasting
  67. Debiasing Counterfactuals In the Presence of Spurious Correlations
  68. SupEuclid: Extremely Simple, High Quality OoD Detection with Supervised Contrastive Learning and Euclidean Distance
  69. Regularization by Neural Style Transfer for MRI Field-Transfer Reconstruction with Limited Data
  70. DocPrompt: Large-scale continue pretrain for zero-shot and few-shot document question answering
  71. BundleSeg: A versatile, reliable and reproducible approach to white matter bundle segmentation
  72. DataVinci: Learning Syntactic and Semantic String Repairs
  73. Artificial intelligence-driven antimicrobial peptide discovery
  74. Label-based Graph Augmentation with Metapath for Graph Anomaly Detection
  75. PACS: Prediction and analysis of cancer subtypes from multi-omics data based on a multi-head attention mechanism model
  76. CamP: Camera Preconditioning for Neural Radiance Fields
  77. TADA! Text to Animatable Digital Avatars
  78. Few-Shot Physically-Aware Articulated Mesh Generation via Hierarchical Deformation
  79. Can Language Models Learn to Listen?
  80. Differentiable Shadow Mapping for Efficient Inverse Graphics
  81. Unlocking Accuracy and Fairness in Differentially Private Image Classification
  82. Giraffe: Adventures in Expanding Context Lengths in LLMs
  83. Analyzing Transformer Dynamics as Movement through Embedding Space
  84. Majorana Demonstrator Data Release for AI/ML Applications
  85. Evaluating quantum generative models via imbalanced data classification benchmarks
  86. Real World Time Series Benchmark Datasets with Distribution Shifts: Global Crude Oil Price and Volatility
  87. Vision Transformer Pruning Via Matrix Decomposition
  88. EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition
  89. Optimized Deep Learning Models for Malware Detection under Concept Drift
  90. Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction
  91. Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers
  92. Improving Continuous Sign Language Recognition with Cross-Lingual Signs
  93. Graph Neural Bandits
  94. DynED: Dynamic Ensemble Diversification in Data Stream Classification
  95. DFWLayer: Differentiable Frank-Wolfe Optimization Layer
  96. Fact-checking information from large language models can decrease headline discernment
  97. Stabilizing Unsupervised Environment Design with a Learned Adversary
  98. MGMAE: Motion Guided Masking for Video Masked Autoencoding
  99. Instruction Tuning for Large Language Models: A Survey
  100. A Block-Ring connected Topology of Parameterized Quantum Circuits
All 234
  1. Extraction of Text from Optic Nerve Optical Coherence Tomography Reports
  2. Dense Error Map Estimation for MRI-Ultrasound Registration in Brain Tumor Surgery Using Swin UNETR
  3. Zero- and Few-Shot Prompting with LLMs: A Comparative Study with Fine-tuned Models for Bangla Sentiment Analysis
  4. Sparse Linear Concept Discovery Models
  5. Improving Clinical Decision Support through Interpretable Machine Learning and Error Handling in Electronic Health Records
  6. Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs
  7. A Modular and Adaptive System for Business Email Compromise Detection
  8. GBM-based Bregman Proximal Algorithms for Constrained Learning
  9. CoNe: Contrast Your Neighbours for Supervised Image Classification
  10. DepreSym: A Depression Symptom Annotated Corpus and the Role of LLMs as Assessors of Psychological Markers
  11. To Whom are You Talking? A Deep Learning Model to Endow Social Robots with Addressee Estimation Skills
  12. Enhancing Adversarial Attacks: The Similar Target Method
  13. We Don't Need No Adam, All We Need Is EVE: On The Variance of Dual Learning Rate And Beyond
  14. UGSL: A Unified Framework for Benchmarking Graph Structure Learning
  15. Patch Is Not All You Need
  16. Test-time augmentation-based active learning and self-training for label-efficient segmentation
  17. Clustered Linear Contextual Bandits with Knapsacks
  18. CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision-Making
  19. On the accuracy of interpolation based on single-layer artificial neural networks with a focus on defeating the Runge phenomenon
  20. Rethinking Person Re-identification from a Projection-on-Prototypes Perspective
  21. Color Prompting for Data-Free Continual Unsupervised Domain Adaptive Person Re-Identification
  22. Relax and penalize: a new bilevel approach to mixed-binary hyperparameter optimization
  23. Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models
  24. Sampling From Autoencoders' Latent Space via Quantization And Probability Mass Function Concepts
  25. Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach
  26. Beyond expectations: Residual Dynamic Mode Decomposition and Variance for Stochastic Dynamical Systems
  27. Vanishing Point Estimation in Uncalibrated Images with Prior Gravity Direction
  28. Exploring Fine-Grained Representation and Recomposition for Cloth-Changing Person Re-Identification
  29. Normative Conditional Reasoning as a Fragment of HOL
  30. Systematic Offensive Stereotyping (SOS) Bias in Language Models
  31. LibriWASN: A Data Set for Meeting Separation, Diarization, and Recognition with Asynchronous Recording Devices
  32. Co-Speech Gesture Detection through Multi-Phase Sequence Labeling
  33. Visual Crowd Analysis: Open Research Problems
  34. A Best-of-both-worlds Algorithm for Bandits with Delayed Feedback with Robustness to Excessive Delays
  35. A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks
  36. Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification
  37. Practical Parallel Algorithms for Non-Monotone Submodular Maximization
  38. Deep Evidential Learning for Bayesian Quantile Regression
  39. Reinforcement Learning Based Sensor Optimization for Bio-markers
  40. bbOCR: An Open-source Multi-domain OCR Pipeline for Bengali Documents
  41. Faster Training of Neural ODEs Using Gauss-Legendre Quadrature
  42. SCULPT: Shape-Conditioned Unpaired Learning of Pose-dependent Clothed and Textured Human Meshes
  43. Automated Identification of Failure Cases in Organ at Risk Segmentation Using Distance Metrics: A Study on CT Data
  44. Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models
  45. PsyMo: A Dataset for Estimating Self-Reported Psychological Traits from Gait
  46. A Homogenization Approach for Gradient-Dominated Stochastic Optimization
  47. Polarimetric Information for Multi-Modal 6D Pose Estimation of Photometrically Challenging Objects with Limited Data
  48. GaitPT: Skeletons Are All You Need For Gait Recognition
  49. Weighting by Tying: A New Approach to Weighted Rank Correlation
  50. Multi-Modal Dataset Acquisition for Photometrically Challenging Object
  51. Large Language Models for Software Engineering: A Systematic Literature Review
  52. centroIDA: Cross-Domain Class Discrepancy Minimization Based on Accumulative Class-Centroids for Imbalanced Domain Adaptation
  53. Ear-Keeper: A Cross-Platform AI System for Rapid and Accurate Ear Disease Diagnosis
  54. ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal
  55. FocalDreamer: Text-driven 3D Editing via Focal-fusion Assembly
  56. Analyzing Complex Systems with Cascades Using Continuous-Time Bayesian Networks
  57. BackTrack: Robust template update via Backward Tracking of candidate template
  58. A step towards understanding why classification helps regression
  59. Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer
  60. Image-free Classifier Injection for Zero-Shot Classification
  61. BAN-PL: a Novel Polish Dataset of Banned Harmful and Offensive Content from Wykop.pl web service
  62. Age Recommendation from Texts and Sentences for Children
  63. RADIANCE: Radio-Frequency Adversarial Deep-learning Inference for Automated Network Coverage Estimation
  64. Weakly synchronous systems with three machines are Turing powerful
  65. CHORD: Category-level Hand-held Object Reconstruction via Shape Deformation
  66. Overcoming Overconfidence for Active Learning
  67. Self-Feedback DETR for Temporal Action Detection
  68. Real-time Monocular Depth Estimation on Embedded Systems
  69. Software Entity Recognition with Noise-Robust Learning
  70. Seeing the Intangible: Survey of Image Classification into High-Level and Abstract Categories
  71. Spatial Transform Decoupling for Oriented Object Detection
  72. Metaverse: A Vision, Architectural Elements, and Future Directions for Scalable and Realtime Virtual Worlds
  73. Local Spherical Harmonics Improve Skeleton-Based Hand Action Recognition
  74. Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations
  75. Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold
  76. Towards Accelerated Model Training via Bayesian Data Selection
  77. Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms
  78. KGrEaT: A Framework to Evaluate Knowledge Graphs via Downstream Tasks
  79. Joint learning of images and videos with a single Vision Transformer
  80. SRFormer: Text Detection Transformer with Incorporated Segmentation and Regression
  81. SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding
  82. DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant Recommendations
  83. LightDepth: Single-View Depth Self-Supervision from Illumination Decline
  84. Dataset Quantization
  85. When Less is Enough: Positive and Unlabeled Learning Model for Vulnerability Detection
  86. Information Theory-Guided Heuristic Progressive Multi-View Coding
  87. PHE-SICH-CT-IDS: A Benchmark CT Image Dataset for Evaluation Semantic Segmentation, Object Detection and Radiomic Feature Extraction of Perihematomal Edema in Spontaneous Intracerebral Hemorrhage
  88. QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection
  89. Hybrid classical-quantum computing: are we forgetting the classical part in the binomial?
  90. Performance Enhancement Leveraging Mask-RCNN on Bengali Document Layout Analysis
  91. A Clustering Algorithm to Organize Satellite Hotspot Data for the Purpose of Tracking Bushfires Remotely
  92. Adaptive Thresholding Heuristic for KPI Anomaly Detection
  93. GradientCoin: A Peer-to-Peer Decentralized Large Language Models
  94. Deep Learning of Delay-Compensated Backstepping for Reaction-Diffusion PDEs
  95. Using Autoencoders and AutoDiff to Reconstruct Missing Variables in a Set of Time Series
  96. Semantic Graph Representation Learning for Handwritten Mathematical Expression Recognition
  97. SynDrone -- Multi-modal UAV Dataset for Urban Scenarios
  98. Enhancing Medical Image Segmentation: Optimizing Cross-Entropy Weights and Post-Processing with Autoencoders
  99. Deep Metric Loss for Multimodal Learning
  100. An Effective Method using Phrase Mechanism in Neural Machine Translation
  101. ADNet: Lane Shape Prediction via Anchor Decomposition
  102. Implicit Self-supervised Language Representation for Spoken Language Diarization
  103. STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning
  104. Unsupervised Dialogue Topic Segmentation in Hyperdimensional Space
  105. Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models
  106. Privacy-Preserving Face Recognition Using Random Frequency Components
  107. ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations
  108. DOMINO++: Domain-aware Loss Regularization for Deep Learning Generalizability
  109. Comparing Measures of Linguistic Diversity Across Social Media Language Data and Census Data at Subnational Geographic Areas
  110. COCA: Classifier-Oriented Calibration via Textual Prototype for Source-Free Universal Domain Adaptation
  111. CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images
  112. Explore and Tell: Embodied Visual Captioning in 3D Environments
  113. LDCSF: Local depth convolution-based Swim framework for classifying multi-label histopathology images
  114. When Prompt-based Incremental Learning Does Not Meet Strong Pretraining
  115. Dynamic Strategy Chain: Dynamic Zero-Shot CoT for Long Mental Health Support Generation
  116. Using Large Language Models for Cybersecurity Capture-The-Flag Challenges and Certification Questions
  117. DySuse: Susceptibility Estimation in Dynamic Social Networks
  118. X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events
  119. Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks
  120. Approximately Equivariant Graph Networks
  121. GPT-in-the-Loop: Adaptive Decision-Making for Multiagent Systems
  122. Federated Learning Robust to Byzantine Attacks: Achieving Zero Optimality Gap
  123. STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting
  124. UniM2AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous Driving
  125. The Change You Want to See (Now in 3D)
  126. TokenSplit: Using Discrete Speech Representations for Direct, Refined, and Transcript-Conditioned Speech Separation and Recognition
  127. Mechanisms that play a game, not toss a coin
  128. In-Rack Test Tube Pose Estimation Using RGB-D Data
  129. Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts
  130. Turning a CLIP Model into a Scene Text Spotter
  131. Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges
  132. Simple Baselines for Interactive Video Retrieval with Questions and Answers
  133. FairMonitor: A Four-Stage Automatic Framework for Detecting Stereotypes and Biases in Large Language Models
  134. Label Selection Approach to Learning from Crowds