mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 4 Sep 2023

197 papers

  1. Relay Diffusion: Unifying diffusion process across resolutions for image synthesisDiffusion models → Diffusion foundations and sampling
  2. Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow SimulationDiffusion models → Flow matching, time series and science
  3. Softmax Bias Correction for Quantized Generative ModelsDiffusion models → Diffusion foundations and sampling
  4. ControlMat: A Controlled Generative Approach to Material CaptureDiffusion models → 3D, point cloud and scene generation
  5. Prior Knowledge Guided Network for Video Anomaly DetectionKnowledge distillation → Detection and dense prediction distillation
  6. DiffHPE: Robust, Coherent 3D Human Pose Lifting with DiffusionDiffusion models → 3D, point cloud and scene generation
  7. ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
  8. MultiWay-Adapater: Adapting large-scale multi-modal models for scalable image-text retrievalMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  9. GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image SegmentationDiffusion models → Medical imaging and segmentation
  10. EventTrojan: Manipulating Non-Intrusive Speech Quality Assessment via Imperceptible EventsLLM safety and security → Audio jailbreaks and speech backdoors
  11. Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  12. FinDiff: Diffusion Models for Financial Tabular Data GenerationDiffusion models → Flow matching, time series and science
  13. Accelerating Markov Chain Monte Carlo sampling with diffusion modelsDiffusion models → Diffusion foundations and sampling
  14. Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert GuidanceOffline RL and imitation learning from data → Offline RL algorithms
  15. Open Sesame! Universal Black Box Jailbreaking of Large Language ModelsLLM safety and security → Jailbreaking
  16. Benchmarking Large Language Models in Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
  17. DiverseMotion: Towards Diverse Human Motion Generation via Discrete DiffusionDiffusion models → Video generation
  18. Exploring Limits of Diffusion-Synthetic Training with Weakly Supervised Semantic SegmentationDiffusion models → Medical imaging and segmentation
  19. Self-driven Grounding: Large Language Model Agents with Automatical Language-aligned Skill LearningLLM reasoning → Reasoning for agents, planning and code +1
  20. Working with Trouble and Failures in Conversation between Humans and Robots (WTF 2023) & Is CUI Design Ready Yet?
  21. Do androids dream of fictional references? A bibliographic dialogue with ChatGPT3.5
  22. Transfer Learning between Motor Imagery Datasets using Deep Learning -- Validation of Framework and Comparison of Datasets
  23. Artificial Empathy Classification: A Survey of Deep Learning Techniques, Datasets, and Evaluation Scales
  24. NeuroCADR: Drug Repurposing to Reveal Novel Anti-Epileptic Drug Candidates Through an Integrated Computational Approach
  25. Efficient Social Choice via NLP and Sampling
  26. Code Representation Pre-training with Complements from Program Executions
  27. Drifter: Efficient Online Feature Monitoring for Improved Data Integrity in Large-Scale Recommendation Systems
  28. Design of Recognition and Evaluation System for Table Tennis Players' Motor Skills Based on Artificial Intelligence
  29. Which algorithm to select in sports timetabling?
  30. Learning a Patent-Informed Biomedical Knowledge Graph Reveals Technological Potential of Drug Repositioning Candidates
  31. Smoothing ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties
  32. Accelerating Nash Equilibrium Convergence in Monte Carlo Settings Through Counterfactual Value Based Fictitious Play
  33. Minimal Effective Theory for Phonotactic Memory: Capturing Local Correlations due to Errors in Speech
  34. Towards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension
  35. Active flow control for three-dimensional cylinders through deep reinforcement learning
  36. Effective Illicit Account Detection on Large Cryptocurrency MultiGraphs
  37. Text-Only Domain Adaptation for End-to-End Speech Recognition through Down-Sampling Acoustic Representation
  38. Towards frugal unsupervised detection of subtle abnormalities in medical imaging
  39. Exploring Attention Mechanisms in Integration of Multi-Modal Information for Sign Language Recognition and Translation
  40. NLLB-CLIP -- train performant multilingual image retrieval model on a budget
  41. Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations
  42. SMPLitex: A Generative Model and Dataset for 3D Human Texture Estimation from Single Image
  43. Uncertainty in AI: Evaluating Deep Neural Networks on Out-of-Distribution Images
  44. StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation
  45. Efficient Defense Against Model Stealing Attacks on Convolutional Neural Networks
  46. Delegating Data Collection in Decentralized Machine Learning
  47. A Post-Training Approach for Mitigating Overfitting in Quantum Convolutional Neural Networks
  48. Secure and Efficient Federated Learning in LEO Constellations using Decentralized Key Generation and On-Orbit Model Aggregation
  49. One Wide Feedforward is All You Need
  50. LoopTune: Optimizing Tensor Computations with Reinforcement Learning
  51. On the fly Deep Neural Network Optimization Control for Low-Power Computer Vision
  52. Multi-dimension unified Swin Transformer for 3D Lesion Segmentation in Multiple Anatomical Locations
  53. Adaptive Model Pruning and Personalization for Federated Learning over Wireless Networks
  54. Into the Single Cell Multiverse: an End-to-End Dataset for Procedural Knowledge Extraction in Biomedical Texts
  55. Instant Continual Learning of Neural Radiance Fields
  56. Are Emergent Abilities in Large Language Models just In-Context Learning?
  57. DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research
  58. Marginalized Importance Sampling for Off-Environment Policy Evaluation
  59. Accuracy and Consistency of Space-based Vegetation Height Maps for Forest Dynamics in Alpine Terrain
  60. Implicit Regularization Makes Overparameterized Asymmetric Matrix Sensing Robust to Perturbations
  61. Composite federated learning with heterogeneous data
  62. Neural-Singular-Hessian: Implicit Neural Representation of Unoriented Point Clouds by Enforcing Singular Hessian
  63. Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction
  64. Safe and Robust Watermark Injection with a Single OoD Image
  65. INTAGS: Interactive Agent-Guided Simulation
  66. Survival Prediction from Imbalance colorectal cancer dataset using hybrid sampling methods and tree-based classifiers
  67. 3D View Prediction Models of the Dorsal Visual Stream
  68. Self-concordant smoothing in proximal quasi-Newton algorithms for large-scale convex composite optimization
  69. Measuring, Interpreting, and Improving Fairness of Algorithms using Causal Inference and Randomized Experiments
  70. DRAG: Divergence-based Adaptive Aggregation in Federated learning on Non-IID Data
  71. CONFIDERAI: a novel CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence
  72. Gated recurrent neural networks discover attention
  73. ADC/DAC-Free Analog Acceleration of Deep Neural Networks with Frequency Transformation
  74. StyleAdapter: A Unified Stylized Image Generation Model
  75. BLiSS: Bootstrapped Linear Shape Space
  76. Generalized Information Criteria for Structured Sparse Models
  77. On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation
  78. Multispectral Indices for Wildfire Management
  79. On CNF formulas irredundant with respect to unit clause propagation
  80. An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports
  81. Hybrid data driven/thermal simulation model for comfort assessment
  82. Adaptive Resource Allocation for Virtualized Base Stations in O-RAN with Online Learning
  83. Generative-based Fusion Mechanism for Multi-Modal Tracking
  84. SAF-IS: a Spatial Annotation Free Framework for Instance Segmentation of Surgical Tools
  85. Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation
  86. Prompting or Fine-tuning? A Comparative Study of Large Language Models for Taxonomy Construction
  87. On the Robustness of Post-hoc GNN Explainers to Label Noise
  88. Robust Online Classification: From Estimation to Denoising
  89. Physics-Informed Polynomial Chaos Expansions
  90. No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets
  91. Mask-Attention-Free Transformer for 3D Instance Segmentation
  92. MathAttack: Attacking Large Language Models Towards Math Solving Ability
  93. CRUISE-Screening: Living Literature Reviews Toolbox
  94. Prompt me a Dataset: An investigation of text-image prompting for historical image dataset creation using foundation models
  95. Blind Biological Sequence Denoising with Self-Supervised Set Learning
  96. Donkii: Can Annotation Error Detection Methods Find Errors in Instruction-Tuning Datasets?
  97. Robust penalized least squares of depth trimmed residuals regression for high-dimensional data
  98. Fine-grained Affective Processing Capabilities Emerging from Large Language Models
  99. Unveiling Theory of Mind in Large Language Models: A Parallel to Single Neurons in the Human Brain
  100. Evolving linguistic divergence on polarizing social media
All 197
  1. Locally Stationary Graph Processes
  2. Building Footprint Extraction in Dense Areas using Super Resolution and Frame Field Learning
  3. ReLoc-PDR: Visual Relocalization Enhanced Pedestrian Dead Reckoning via Graph Optimization
  4. Exploring the effectiveness of ChatGPT-based feedback compared with teacher feedback and self-feedback: Evidence from Chinese to English translation
  5. Expectation propagation for the smoothing distribution in dynamic probit
  6. Corgi^2: A Hybrid Offline-Online Approach To Storage-Aware Data Shuffling For SGD
  7. Representing Edge Flows on Graphs via Sparse Cell Complexes
  8. Efficient computation of predictive probabilities in probit models via expectation propagation
  9. Cross-Consistent Deep Unfolding Network for Adaptive All-In-One Video Restoration
  10. AGG-Net: Attention Guided Gated-convolutional Network for Depth Image Completion
  11. Concepts is All You Need: A More Direct Path to AGI
  12. Hindering Adversarial Attacks with Multiple Encrypted Patch Embeddings
  13. Efficient expectation propagation for posterior approximation in high-dimensional probit models
  14. Critical Behavioral Traits Foster Peer Engagement in Online Mental Health Communities
  15. DeViL: Decoding Vision features into Language
  16. Dropout Attacks
  17. On the Query Strategies for Efficient Online Active Distillation
  18. Segmentation of 3D pore space from CT images using curvilinear skeleton: application to numerical simulation of microbial decomposition
  19. Fairness in Ranking under Disparate Uncertainty
  20. Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking
  21. Deep Learning Overloaded Vehicle Identification for Long Span Bridges Based on Structural Health Monitoring Data
  22. Les Houches Lectures on Deep Learning at Large & Infinite Width
  23. Probabilistic Precision and Recall Towards Reliable Evaluation of Generative Models
  24. SATAY: A Streaming Architecture Toolflow for Accelerating YOLO Models on FPGA Devices
  25. Improving Visual Quality and Transferability of Adversarial Attacks on Face Recognition Simultaneously with Adversarial Restoration
  26. A Comparative Analysis of Pretrained Language Models for Text-to-Speech
  27. Object-Size-Driven Design of Convolutional Neural Networks: Virtual Axle Detection based on Raw Data
  28. Rail Crack Propagation Forecasting Using Multi-horizons RNNs
  29. Locality-Aware Hyperspectral Classification
  30. OutRank: Speeding up AutoML-based Model Search for Large Sparse Data sets with Cardinality-aware Feature Ranking
  31. TSTTC: A Large-Scale Dataset for Time-to-Contact Estimation in Driving Scenarios
  32. Are We Using Autoencoders in a Wrong Way?
  33. Passing Heatmap Prediction Based on Transformer Model and Tracking Data
  34. A Blackbox Model Is All You Need to Breach Privacy: Smart Grid Forecasting Models as a Use Case
  35. What are Public Concerns about ChatGPT? A Novel Self-Supervised Neural Topic Model Tells You
  36. Hawkeye: Change-targeted Testing for Android Apps based on Deep Reinforcement Learning
  37. Federated cINN Clustering for Accurate Clustered Federated Learning
  38. RGI-Net: 3D Room Geometry Inference from Room Impulse Responses With Hidden First-Order Reflections
  39. Neural Vector Fields: Generalizing Distance Vector Fields by Codebooks and Zero-Curl Regularization
  40. Memory Efficient Optimizers with 4-bit States
  41. Layer-wise training for self-supervised learning on graphs
  42. On the use of Mahalanobis distance for out-of-distribution detection with neural networks for medical imaging
  43. CA2: Class-Agnostic Adaptive Feature Adaptation for One-class Classification
  44. Defect Detection in Synthetic Fibre Ropes using Detectron2 Framework
  45. Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning
  46. On the Consistency and Robustness of Saliency Explanations for Time Series Classification
  47. LLM and Infrastructure as a Code use case
  48. NumHG: A Dataset for Number-Focused Headline Generation
  49. Interactive Graph Convolutional Filtering
  50. Toward Defensive Letter Design
  51. Large Separable Kernel Attention: Rethinking the Large Kernel Attention Design in CNN
  52. SememeASR: Boosting Performance of End-to-End Speech Recognition against Domain and Long-Tailed Data Shift with Sememe Semantic Knowledge
  53. DAT++: Spatially Dynamic Vision Transformer with Deformable Attention
  54. Adapting Segment Anything Model for Change Detection in HR Remote Sensing Images
  55. Expanding Mars Climate Modeling: Interpretable Machine Learning for Modeling MSL Relative Humidity
  56. Unified Pre-training with Pseudo Texts for Text-To-Image Person Re-identification
  57. Social Factors in P2P Energy Trading Using Hedonic Games
  58. Hateful Messages: A Conversational Data Set of Hate Speech produced by Adolescents on Discord
  59. Implicit Neural Image Stitching
  60. Leveraging Self-Supervised Vision Transformers for Segmentation-based Transfer Function Design
  61. Learning Residual Elastic Warps for Image Stitching under Dirichlet Boundary Condition
  62. Zero-shot information extraction from radiological reports using ChatGPT
  63. Differentiable Bayesian Structure Learning with Acyclicity Assurance
  64. SSVOD: Semi-Supervised Video Object Detection with Sparse Annotations
  65. Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learning
  66. LoRA-like Calibration for Multimodal Deception Detection using ATSFace Data
  67. Classic algorithms are fair learners: Classification Analysis of natural weather and wildfire occurrences
  68. Understanding Video Scenes through Text: Insights from Text-based Video Question Answering
  69. Memory augment is All You Need for image restoration
  70. ImmersiveNeRF: Hybrid Radiance Fields for Unbounded Immersive Light Field Reconstruction
  71. ReOnto: A Neuro-Symbolic Approach for Biomedical Relation Extraction
  72. Refined Temporal Pyramidal Compression-and-Amplification Transformer for 3D Human Pose Estimation
  73. Mutual information maximizing quantum generative adversarial networks
  74. High Frequency, High Accuracy Pointing onboard Nanosats using Neuromorphic Event Sensing and Piezoelectric Actuation
  75. Random Projections of Sparse Adjacency Matrices
  76. Adapting Classifiers To Changing Class Priors During Deployment
  77. Real-time pedestrian recognition on low computational resources
  78. Adv3D: Generating 3D Adversarial Examples for 3D Object Detection in Driving Scenarios with NeRF
  79. MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware
  80. Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification
  81. MDSC: Towards Evaluating the Style Consistency Between Music and Dance
  82. UniSA: Unified Generative Framework for Sentiment Analysis
  83. Learning for Interval Prediction of Electricity Demand: A Cluster-based Bootstrapping Approach
  84. In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems
  85. Semantic-Constraint Matching Transformer for Weakly Supervised Object Localization
  86. Can I Trust Your Answer? Visually Grounded Video Question Answering
  87. SKoPe3D: A Synthetic Dataset for Vehicle Keypoint Perception in 3D from Traffic Monitoring Cameras
  88. FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention for Prostate Cancer Segmentation
  89. An ML-assisted OTFS vs. OFDM adaptable modem
  90. An FPGA smart camera implementation of segmentation models for drone wildfire imagery
  91. Enhancing Automated and Early Detection of Alzheimer's Disease Using Out-Of-Distribution Detection
  92. ExMobileViT: Lightweight Classifier Extension for Mobile Vision Transformer
  93. Partial Proof of a Conjecture with Implications for Spectral Majorization
  94. T-Stochastic Graphs
  95. Communication-Efficient Design of Learning System for Energy Demand Forecasting of Electrical Vehicles
  96. EMR-MSF: Self-Supervised Recurrent Monocular Scene Flow Exploiting Ego-Motion Rigidity
  97. AlphaZero Gomoku