mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 22 Mar 2023

196 papers

  1. Communication Load Balancing via Efficient Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning
  2. Self-distillation for surgical action recognitionKnowledge distillation → Distillation for medical imaging
  3. Improving Transformer Performance for French Clinical Notes Classification Using Mixture of Experts on a Limited DatasetMixture-of-experts → Medical and biomedical MoE
  4. Parallel Diffusion Model-based Sparse-view Cone-beam Breast CTDiffusion models → Medical imaging and segmentation
  5. Are LLMs the Master of All Trades? : Exploring Domain-Agnostic Reasoning Skills of LLMsLLM reasoning → Reasoning benchmarks and evaluation
  6. CrowdDiff: Multi-hypothesis Crowd Density Estimation using Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  7. Causal Reasoning in the Presence of Latent Confounders via Neural ADMG LearningLLM reasoning → Causal reasoning in LLMs
  8. Pix2Video: Video Editing using Image DiffusionDiffusion models → Video generation
  9. Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram SynthesisDiffusion models → Medical imaging and segmentation
  10. Neuro-Symbolic Reasoning Shortcuts: Mitigation Strategies and their LimitationsLLM reasoning → Reasoning benchmarks and evaluation
  11. Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person RetrievalLLM reasoning → Multimodal reasoning
  12. EDGI: Equivariant Diffusion for Planning with Embodied AgentsDiffusion models → Diffusion and flow policies for robotics
  13. Disturbance Injection under Partial Automation: Robust Imitation Learning for Long-horizon TasksOffline RL and imitation learning from data → Imitation learning methods
  14. NUWA-XL: Diffusion over Diffusion for eXtremely Long Video GenerationDiffusion models → Video generation
  15. LD-ZNet: A Latent Diffusion Approach for Text-Based Image SegmentationDiffusion models → Medical imaging and segmentation
  16. GrapeQA: GRaph Augmentation and Pruning to Enhance Question-AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
  17. Distribution Aligned Diffusion and Prototype-guided network for Unsupervised Domain Adaptive SegmentationDiffusion models → Medical imaging and segmentation
  18. Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions using Reinforcement LearningEnd-to-end autonomous driving → Cooperative and V2X driving
  19. Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion ModelsDiffusion models → Medical imaging and segmentation
  20. Wasserstein Loss for Semantic Editing in the Latent Space of GANs
  21. Fairness: from the ethical principle to the practice of Machine Learning development as an ongoing agreement with stakeholders
  22. Selective Data Augmentation for Robust Speech Translation
  23. When Evolutionary Computation Meets Privacy
  24. Policy Reuse for Communication Load Balancing in Unseen Traffic Scenarios
  25. Forecasting Large Realized Covariance Matrices: The Benefits of Factor Models and Shrinkage
  26. Resilient Output Consensus Control of Heterogeneous Multi-agent Systems against Byzantine Attacks: A Twin Layer Approach
  27. Low Rank Optimization for Efficient Deep Learning: Making A Balance between Compact Architecture and Fast Training
  28. Physics-informed PointNet: On how many irregular geometries can it solve an inverse problem simultaneously? Application to linear elasticity
  29. ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-supervised Learning
  30. Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach
  31. CH-Go: Online Go System Based on Chunk Data Storage
  32. Context, Utility and Influence of an Explanation
  33. Mining Clinical Notes for Physical Rehabilitation Exercise Information: Natural Language Processing Algorithm Development and Validation Study
  34. Deep RL with Hierarchical Action Exploration for Dialogue Generation
  35. W2KPE: Keyphrase Extraction with Word-Word Relation
  36. The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs
  37. Variantional autoencoder with decremental information bottleneck for disentanglement
  38. Reinforcement Learning with Exogenous States and Rewards
  39. TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversarial Networks
  40. LightPainter: Interactive Portrait Relighting with Freehand Scribble
  41. Analyzing the Generalizability of Deep Contextualized Language Representations For Text Classification
  42. Real-World Community-in-the-Loop Smart Video Surveillance -- A Case Study at a Community College
  43. Generalized Data Thinning Using Sufficient Statistics
  44. Dense-Localizing Audio-Visual Events in Untrimmed Videos: A Large-Scale Benchmark and Baseline
  45. Leveraging Multi-time Hamilton-Jacobi PDEs for Certain Scientific Machine Learning Problems
  46. Revisiting the Fragility of Influence Functions
  47. Stability is Stable: Connections between Replicability, Privacy, and Adaptive Generalization
  48. Deep learning-based stereo camera multi-video synchronization
  49. TRON: Transformer Neural Network Acceleration with Non-Coherent Silicon Photonics
  50. Cross-Layer Design for AI Acceleration with Non-Coherent Optical Computing
  51. Towards Understanding the Generalization of Medical Text-to-SQL Models and Datasets
  52. Feature Reduction Method Comparison Towards Explainability and Efficiency in Cybersecurity Intrusion Detection Systems
  53. Scale space radon transform-based inertia axis and object central symmetry estimation
  54. A dynamic risk score for early prediction of cardiogenic shock using machine learning
  55. Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues
  56. Human Uncertainty in Concept-Based AI Systems
  57. JaCoText: A Pretrained Model for Java Code-Text Generation
  58. NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions
  59. LP-IOANet: Efficient High Resolution Document Shadow Removal
  60. Salient Span Masking for Temporal Understanding
  61. Anti-symmetric Barron functions and their approximation with sums of determinants
  62. Three iterations of (d-1)-WL test distinguish non isometric clouds of d-dimensional points
  63. Semi-Oblivious Chase Termination for Linear Existential Rules: An Experimental Study
  64. Test-time Detection and Repair of Adversarial Samples via Masked Autoencoder
  65. The power and limitations of learning quantum dynamics incoherently
  66. Data-Driven Leader-following Consensus for Nonlinear Multi-Agent Systems against Composite Attacks: A Twins Layer Approach
  67. Towards A Visual Programming Tool to Create Deep Learning Models
  68. An Empirical Analysis of the Shift and Scale Parameters in BatchNorm
  69. From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding
  70. Nowhere coexpanding functions
  71. A Comparison of Graph Neural Networks for Malware Classification
  72. CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning
  73. SHERF: Generalizable Human NeRF from a Single Image
  74. Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions
  75. Open-source Frame Semantic Parsing
  76. EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
  77. FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models
  78. Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality
  79. Conformal Prediction for Time Series with Modern Hopfield Networks
  80. Tube-Link: A Flexible Cross Tube Framework for Universal Video Segmentation
  81. LFM-3D: Learnable Feature Matching Across Wide Baselines Using 3D Signals
  82. Dense Distinct Query for End-to-End Object Detection
  83. The Complexity of Why-Provenance for Datalog Queries
  84. Interpretable Bangla Sarcasm Detection using BERT and Explainable AI
  85. Can we trust the evaluation on ChatGPT?
  86. Spherical Transformer for LiDAR-based 3D Recognition
  87. LSTM-based Video Quality Prediction Accounting for Temporal Distortions in Videoconferencing Calls
  88. Uncertainty Aware Active Learning for Reconfiguration of Pre-trained Deep Object-Detection Networks for New Target Domains
  89. MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset
  90. Strategy Synthesis in Markov Decision Processes Under Limited Sampling Access
  91. Sparks of Artificial General Intelligence: Early experiments with GPT-4
  92. Evaluation of Sketch-Based and Semantic-Based Modalities for Mockup Generation
  93. Dense Network Expansion for Class Incremental Learning
  94. Adaptive Conformal Prediction by Reweighting Nonconformity Score
  95. Resilient Output Containment Control of Heterogeneous Multiagent Systems Against Composite Attacks: A Digital Twin Approach
  96. Uni-Fusion: Universal Continuous Mapping
  97. VecFontSDF: Learning to Reconstruct and Synthesize High-quality Vector Fonts via Signed Distance Functions
  98. Integrating Image Features with Convolutional Sequence-to-sequence Network for Multilingual Visual Question Answering
  99. Correlational Image Modeling for Self-Supervised Visual Pre-Training
  100. An Extended Study of Human-like Behavior under Adversarial Training
All 196
  1. Can We Identify Stance Without Target Arguments? A Study for Rumour Stance Classification
  2. Posthoc Interpretation via Quantization
  3. Reliable and Efficient Evaluation of Adversarial Robustness for Deep Hashing-Based Retrieval
  4. MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization
  5. Traffic Volume Prediction using Memory-Based Recurrent Neural Networks: A comparative analysis of LSTM and GRU
  6. Democratising AI: Multiple Meanings, Goals, and Methods
  7. Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models
  8. Semi-supervised counterfactual explanations
  9. OcTr: Octree-based Transformer for 3D Object Detection
  10. A Perceptual Quality Assessment Exploration for AIGC Images
  11. Multi-view Feature Extraction based on Triple Contrastive Heads
  12. Do Backdoors Assist Membership Inference Attacks?
  13. AfroDigits: A Community-Driven Spoken Digit Dataset for African Languages
  14. RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation
  15. RaBit: Parametric Modeling of 3D Biped Cartoon Characters with a Topological-consistent Dataset
  16. Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees
  17. Q-HyViT: Post-Training Quantization of Hybrid Vision Transformers with Bridge Block Reconstruction for IoT Systems
  18. Deployment of Image Analysis Algorithms under Prevalence Shifts
  19. Inexact iterative numerical linear algebra for neural network-based spectral estimation and rare-event prediction
  20. Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approach
  21. MEGA: Multilingual Evaluation of Generative AI
  22. Split-Et-Impera: A Framework for the Design of Distributed Deep Learning Applications
  23. Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition
  24. On Domain-Specific Pre-Training for Effective Semantic Perception in Agricultural Robotics
  25. Lower Bounds on the Bayesian Risk via Information Measures
  26. Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions
  27. Revisiting DeepFool: generalization and improvement
  28. Ck-continuous Spline Approximation with TensorFlow Gradient Descent Optimizers
  29. Externalities in Chore Division
  30. MEDIMP: 3D Medical Images with clinical Prompts from limited tabular data for renal transplantation
  31. Learning Human-Inspired Force Strategies for Robotic Assembly
  32. Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning
  33. Text with Knowledge Graph Augmented Transformer for Video Captioning
  34. Region-wise matching for image inpainting based on adaptive weighted low-rank decomposition
  35. BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency
  36. CLIP2: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data
  37. Delay-Aware Hierarchical Federated Learning
  38. Balanced Spherical Grid for Egocentric View Synthesis
  39. Non-asymptotic analysis of Langevin-type Monte Carlo algorithms
  40. UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework
  41. Multiscale Attention via Wavelet Neural Operators for Vision Transformers
  42. Edge Deep Learning Model Protection via Neuron Authorization
  43. Rigidity-Aware Detection for 6D Object Pose Estimation
  44. Road Extraction with Satellite Images and Partial Road Maps
  45. RegFormer: An Efficient Projection-Aware Transformer Network for Large-Scale Point Cloud Registration
  46. VMCML: Video and Music Matching via Cross-Modality Lifting
  47. P3O: Transferring Visual Representations for Reinforcement Learning via Prompting
  48. Weakly Supervised Video Representation Learning with Unaligned Text for Sequential Videos
  49. Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection
  50. MAIR: Multi-view Attention Inverse Rendering with 3D Spatially-Varying Lighting Estimation
  51. AIIPot: Adaptive Intelligent-Interaction Honeypot for IoT Devices
  52. ExBEHRT: Extended Transformer for Electronic Health Records to Predict Disease Subtypes & Progressions
  53. Distribution-restrained Softmax Loss for the Model Robustness
  54. Automatically Predict Material Properties with Microscopic Image Example Polymer Compatibility
  55. Wasserstein Adversarial Examples on Univariant Time Series Data
  56. Deep Reinforcement Learning for Localizability-Enhanced Navigation in Dynamic Human Environments
  57. Training Multilayer Perceptrons by Sampling with Quantum Annealers
  58. Artificial Intelligence and Dual Contract
  59. One-Step Detection Paradigm for Hyperspectral Anomaly Detection via Spectral Deviation Relationship Learning
  60. EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning
  61. Music-Driven Group Choreography
  62. A multi-functional simulation platform for on-demand ride service operations
  63. Weakly-Supervised Temporal Action Localization by Inferring Salient Snippet-Feature
  64. Make Encoder Great Again in 3D GAN Inversion through Geometry and Occlusion-Aware Encoding
  65. Re-thinking Federated Active Learning based on Inter-class Diversity
  66. TsSHAP: Robust model agnostic feature-based explainability for time series forecasting
  67. Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization
  68. Frozen Language Model Helps ECG Zero-Shot Learning
  69. XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages
  70. Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds
  71. Understanding Expressivity of GNN in Rule Learning
  72. SiamTHN: Siamese Target Highlight Network for Visual Tracking
  73. Anomaly Detection in Aeronautics Data with Quantum-compatible Discrete Deep Generative Model
  74. Exploring Turkish Speech Recognition via Hybrid CTC/Attention Architecture and Multi-feature Fusion Network
  75. A General Algorithm for Solving Rank-one Matrix Sensing
  76. Prototype Helps Federated Learning: Towards Faster Convergence
  77. Evaluating Transformer Models and Human Behaviors on Chinese Character Naming
  78. Fairness Improves Learning from Noisily Labeled Long-Tailed Data
  79. Hardness of Independent Learning and Sparse Equilibrium Computation in Markov Games
  80. Reducing Air Pollution through Machine Learning
  81. NLOS-NeuS: Non-line-of-sight Neural Implicit Surface
  82. Generate labeled training data using Prompt Programming and GPT-3. An example of Big Five Personality Classification
  83. Stochastic Nonsmooth Convex Optimization with Heavy-Tailed Noises: High-Probability Bound, In-Expectation Rate and Initial Distance Adaptation
  84. A Hierarchical Hybrid Learning Framework for Multi-agent Trajectory Prediction
  85. SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings
  86. AUTO: Adaptive Outlier Optimization for Test-Time OOD Detection
  87. Autonomous Robotic Drilling System for Mice Cranial Window Creation: An Evaluation with an Egg Model
  88. Challenges and opportunities for machine learning in multiscale computational modeling
  89. Information-Based Sensor Placement for Data-Driven Estimation of Unsteady Flows
  90. Brain-inspired bodily self-perception model for robot rubber hand illusion
  91. Encoding Binary Concepts in the Latent Space of Generative Models for Enhancing Data Representation
  92. State-of-the-art optical-based physical adversarial attacks for deep learning computer vision systems
  93. Exploring the Benefits of Visual Prompting in Differential Privacy
  94. Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation
  95. Error Analysis of Physics-Informed Neural Networks for Approximating Dynamic PDEs of Second Order in Time
  96. Preventing Dimensional Collapse of Incomplete Multi-View Clustering via Direct Contrastive Learning