mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 14 Mar 2023

231 papers

  1. Diffusion Models for Contrast Harmonization of Magnetic Resonance ImagesDiffusion models → Medical imaging and segmentation
  2. LayoutDM: Discrete Diffusion Model for Controllable Layout GenerationDiffusion models → Image generation, text-to-image and editing
  3. ViperGPT: Visual Inference via Python Execution for ReasoningLLM reasoning → Multimodal reasoning
  4. How Many Demonstrations Do You Need for In-context Learning?LLM reasoning → Reasoning benchmarks and evaluation
  5. Eliciting Latent Predictions from Transformers with the Tuned LensMechanistic interpretability → Knowledge and representations inside LLMs
  6. Editing Implicit Assumptions in Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  7. Interpretable ODE-style Generative Diffusion Model via Force Field ConstructionDiffusion models → Diffusion foundations and sampling
  8. Point Cloud Diffusion Models for Automatic Implant GenerationDiffusion models → 3D, point cloud and scene generation
  9. Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single ModelsEfficient LLM inference and serving → Early exit and edge inference
  10. MetaMixer: A Regularization Strategy for Online Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  11. Controllable Mesh Generation Through Sparse Latent Point Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  12. Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D GenerationDiffusion models → 3D, point cloud and scene generation
  13. Text-to-image Diffusion Models in Generative AI: A SurveyDiffusion models → Image generation, text-to-image and editing
  14. Generalised Scale-Space Properties for Probabilistic Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  15. Sample-efficient Adversarial Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
  16. MobileVOS: Real-Time Video Object Segmentation Contrastive Learning meets Knowledge DistillationKnowledge distillation → Detection and dense prediction distillation
  17. DiffuseRoll: Multi-track multi-category music generation based on diffusion modelDiffusion models → Audio, speech and music
  18. Can neural networks do arithmetic? A survey on the elementary numerical skills of state-of-the-art deep learning modelsLLM reasoning → Mathematical reasoning
  19. Adaptive Policy Learning for Offline-to-Online Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  20. Feature-Rich Audio Model Inversion for Data-Free Knowledge Distillation Towards General Sound ClassificationKnowledge distillation → Speech and audio distillation
  21. Teacher-Student Knowledge Distillation for Radar Perception on Embedded AcceleratorsKnowledge distillation → Detection and dense prediction distillation
  22. Diffusion Models in NLP: A SurveyDiffusion models → Discrete and text diffusion
  23. Merging Decision Transformers: Weight Averaging for Forming Multi-Task PoliciesOffline RL and imitation learning from data → Decision transformers and sequence modeling
  24. Bi-directional personalization reinforcement learning-based architecture with active learning using a multi-model data service for the travel nursing industry
  25. The AI Act proposal: a new right to technical interpretability?
  26. Features matching using natural language processing
  27. SMUG: Towards robust MRI reconstruction by smoothed unrolling
  28. Learning to Transfer In-Hand Manipulations Using a Greedy Shape Curriculum
  29. Learning Fractals by Gradient Descent
  30. Gradient-descent hardware-aware training and deployment for mixed-signal Neuromorphic processors
  31. Improving EEG-based Emotion Recognition by Fusing Time-frequency And Spatial Representations
  32. Explaining Recommendation System Using Counterfactual Textual Explanations
  33. Learning Cross-lingual Visual Speech Representations
  34. Controllable Prosody Generation With Partial Inputs
  35. Improving CNN-base Stock Trading By Considering Data Heterogeneity and Burst
  36. Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions
  37. Delay-SDE-net: A deep learning approach for time series modelling with memory and uncertainty estimates
  38. High-dimensional multi-view clustering methods
  39. SIM: Semantic-aware Instance Mask Generation for Box-Supervised Instance Segmentation
  40. Distinguishing Cause from Effect on Categorical Data: The Uniform Channel Model
  41. EGFR mutation prediction using F18-FDG PET-CT based radiomics features in non-small cell lung cancer
  42. GeoSpark: Sparking up Point Cloud Segmentation with Geometry Clue
  43. Towards a Deep Learning Pain-Level Detection Deployment at UAE for Patient-Centric-Pain Management and Diagnosis Support: Framework and Performance Evaluation
  44. Automated patent extraction powers generative modeling in focused chemical spaces
  45. Act-Then-Measure: Reinforcement Learning for Partially Observable Environments with Active Measuring
  46. Positive Unlabeled Learning Selected Not At Random (PULSNAR): class proportion estimation when the SCAR assumption does not hold
  47. Chat with the Environment: Interactive Multimodal Perception Using Large Language Models
  48. Neuro-symbolic Commonsense Social Reasoning
  49. Clinical Concept and Relation Extraction Using Prompt-based Machine Reading Comprehension
  50. Contextualized Medication Information Extraction Using Transformer-based Deep Learning Architectures
  51. Model-to-Circuit Cross-Approximation For Printed Machine Learning Classifiers
  52. R2 Loss: Range Restriction Loss for Model Compression and Quantization
  53. Hyperspectral Image Segmentation: A Preliminary Study on the Oral and Dental Spectral Image Database (ODSI-DB)
  54. CHEEM: Continual Learning by Reuse, New, Adapt and Skip -- A Hierarchical Exploration-Exploitation Approach
  55. Systematic design space exploration by learning the explored space using Machine Learning
  56. Optimal Sampling Designs for Multi-dimensional Streaming Time Series with Application to Power Grid Sensor Data
  57. Subspace Perturbation Analysis for Data-Driven Radar Target Localization
  58. Parametric Surface Constrained Upsampler Network for Point Cloud
  59. NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions
  60. Rotation-Invariant Transformer for Point Cloud Matching
  61. Bayesian Beta-Bernoulli Process Sparse Coding with Deep Neural Networks
  62. Hall effect thruster design via deep neural network for additive manufacturing
  63. DeepAxe: A Framework for Exploration of Approximation and Reliability Trade-offs in DNN Accelerators
  64. Graph Transformer GANs for Graph-Constrained House Generation
  65. Few-Shot Classification of Autism Spectrum Disorder using Site-Agnostic Meta-Learning and Brain MRI
  66. A 2-opt Algorithm for Locally Optimal Set Partition Optimization
  67. Efficiently Training Vision Transformers on Structural MRI Scans for Alzheimer's Disease Detection
  68. Is forgetting less a good inductive bias for forward transfer?
  69. RODD: Robust Outlier Detection in Data Cubes
  70. Vehicle lateral control using Machine Learning for automated vehicle guidance
  71. MEDBERT.de: A Comprehensive German BERT Model for the Medical Domain
  72. The Equitable AI Research Roundtable (EARR): Towards Community-Based Decision Making in Responsible AI Development
  73. Allegro-Legato: Scalable, Fast, and Robust Neural-Network Quantum Molecular Dynamics via Sharpness-Aware Minimization
  74. Artificial intelligence for artificial materials: moir'e atom
  75. Graph Neural Network Surrogates of Fair Graph Filtering
  76. Nonlinear Hyperspectral Unmixing based on Multilinear Mixing Model using Convolutional Autoencoders
  77. Performance Embeddings: A Similarity-based Approach to Automatic Performance Optimization
  78. Digital staining in optical microscopy using deep learning -- a review
  79. Diversity-Aware Meta Visual Prompting
  80. Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
  81. MeshDiffusion: Score-based Generative 3D Mesh Modeling
  82. InstMove: Instance Motion for Object-centric Video Segmentation
  83. A Simple Framework for Open-Vocabulary Segmentation and Detection
  84. PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection
  85. CB2: Collaborative Natural Language Interaction Research Platform
  86. Blind Video Deflickering by Neural Filtering with a Flawed Atlas
  87. Do Transformers Parse while Predicting the Masked Word?
  88. Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs
  89. Learning Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation
  90. Vision-based route following by an embodied insect-inspired sparse neural network
  91. Information-Theoretic Regret Bounds for Bandits with Fixed Expert Advice
  92. MELON: NeRF with Unposed Images in SO(3)
  93. Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations
  94. Explanation Shift: How Did the Distribution Shift Impact the Model?
  95. Beyond Games: A Systematic Review of Neural Monte Carlo Tree Search Applications
  96. Fast Rates for Maximum Entropy Exploration
  97. Statistical Hardware Design With Multi-model Active Learning
  98. Subjective and Objective Quality Assessment for in-the-Wild Computer Graphics Images
  99. Happy-GLL: modular, reusable and complete top-down parsers for parameterized nonterminals
  100. Beyond Demographic Parity: Redefining Equal Treatment
All 231
  1. Progress Note Understanding -- Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 Shared Task
  2. ISimDL: Importance Sampling-Driven Acceleration of Fault Injection Simulations for Evaluating the Robustness of Deep Learning
  3. Verifying the Robustness of Automatic Credibility Assessment
  4. Class-level Multiple Distributions Representation are Necessary for Semantic Segmentation
  5. A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition
  6. A Study on Bias and Fairness In Deep Speaker Recognition
  7. OptBA: Optimizing Hyperparameters with the Bees Algorithm for Improved Medical Text Classification
  8. Leveraging Pretrained Representations with Task-related Keywords for Alzheimer's Disease Detection
  9. Reliable Beamforming at Terahertz Bands: Are Causal Representations the Way Forward?
  10. Continuous Risk Measures for Driving Support
  11. Multi-agent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks
  12. FingerSLAM: Closed-loop Unknown Object Localization and Reconstruction from Visuo-tactile Feedback
  13. Can ChatGPT Replace Traditional KBQA Models? An In-depth Analysis of the Question Answering Performance of the GPT LLM Family
  14. Finding the Needle in a Haystack: Unsupervised Rationale Extraction from Long Text Classifiers
  15. A CNN Based Framework for Unistroke Numeral Recognition in Air-Writing
  16. Light Unbalanced Optimal Transport
  17. Practically Solving LPN in High Noise Regimes Faster Using Neural Networks
  18. A Theory of Emergent In-Context Learning as Implicit Structure Induction
  19. RoCNet: 3D Robust Registration of Point-Clouds using Deep Learning
  20. Automatic summarisation of Instagram social network posts Combining semantic and statistical approaches
  21. Edit-A-Video: Single Video Editing with Object-Aware Consistency
  22. Non-Contrastive Unsupervised Learning of Physiological Signals from Video
  23. On the Connection between Concept Drift and Uncertainty in Industrial Artificial Intelligence
  24. DAA: A Delta Age AdaIN operation for age estimation via binary code transformer
  25. Deep incremental learning models for financial temporal tabular datasets with distribution shifts
  26. Improving Accented Speech Recognition with Multi-Domain Training
  27. Reachability Analysis of Neural Networks with Uncertain Parameters
  28. Adapting Offline Speech Translation Models for Streaming with Future-Aware Distillation and Inference
  29. Revisit Parameter-Efficient Transfer Learning: A Two-Stage Paradigm
  30. ISLE: A Framework for Image Level Semantic Segmentation Ensemble
  31. Multiparticle Kalman filter for object localization in symmetric environments
  32. Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging Systems
  33. The Learnability of In-Context Learning
  34. SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object Perimeters
  35. DynaMask: Dynamic Mask Selection for Instance Segmentation
  36. Predicting the Geolocation of Tweets Using transformer models on Customized Data
  37. DualMix: Unleashing the Potential of Data Augmentation for Online Class-Incremental Learning
  38. You Can Ground Earlier than See: An Effective and Efficient Pipeline for Temporal Sentence Grounding in Compressed Videos
  39. ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation using Object Border Fitting for Medical Images
  40. FPUS23: An Ultrasound Fetus Phantom Dataset with Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Features
  41. Implicit Stacked Autoregressive Model for Video Prediction
  42. Transfer Learning for Real-time Deployment of a Screening Tool for Depression Detection Using Actigraphy
  43. Precise Facial Landmark Detection by Reference Heatmap Transformer
  44. X-ReCoSa: Multi-Scale Context Aggregation For Multi-Turn Dialogue Generation
  45. Quaternion Orthogonal Transformer for Facial Expression Recognition in the Wild
  46. Emergent Bio-Functional Similarities in a Cortical-Spike-Train-Decoding Spiking Neural Network Facilitate Predictions of Neural Computation
  47. Implant Global and Local Hierarchy Information to Sequence based Code Representation Models
  48. Adaptive Rotated Convolution for Rotated Object Detection
  49. MS-TCRNet: Multi-Stage Temporal Convolutional Recurrent Networks for Action Segmentation Using Sensor-Augmented Kinematics
  50. ICICLE: Interpretable Class Incremental Continual Learning
  51. Robot Grasping and Manipulation: A Prospective
  52. USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation
  53. OVRL-V2: A simple state-of-art baseline for ImageNav and ObjectNav
  54. Object Detection During Newborn Resuscitation Activities
  55. Activity Recognition From Newborn Resuscitation Videos
  56. GANN: Graph Alignment Neural Network for Semi-Supervised Learning
  57. Data-Free Sketch-Based Image Retrieval
  58. Testing Causality for High Dimensional Data
  59. Axiomatic characterization of pointwise Shapley decompositions
  60. Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology
  61. DBSCAN of Multi-Slice Clustering for Third-Order Tensors
  62. Adjacent-view Transformers for Supervised Surround-view Depth Estimation
  63. Traffic4cast at NeurIPS 2022 -- Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors
  64. Multiway clustering of 3-order tensor via affinity matrix
  65. Generation-Guided Multi-Level Unified Network for Video Grounding
  66. LoG-CAN: local-global Class-aware Network for semantic segmentation of remote sensing images
  67. Sliding at first order: Higher-order momentum distributions for discontinuous image registration
  68. ForDigitStress: A multi-modal stress dataset employing a digital job interview scenario
  69. Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening
  70. Good Neighbors Are All You Need for Chinese Grapheme-to-Phoneme Conversion
  71. HALOS: Hallucination-free Organ Segmentation after Organ Resection Surgery
  72. BlinkFlow: A Dataset to Push the Limits of Event-based Optical Flow Estimation
  73. Freehand 2D Ultrasound Probe Calibration for Image Fusion with 3D MRI/CT
  74. Improving Prosody for Cross-Speaker Style Transfer by Semi-Supervised Style Extractor and Hierarchical Modeling in Speech Synthesis
  75. 3D Face Arbitrary Style Transfer
  76. PATS: Patch Area Transportation with Subdivision for Local Feature Matching
  77. DisCoHead: Audio-and-Video-Driven Talking Head Generation by Disentangled Control of Head Pose and Facial Expressions
  78. Dual-Attention Model for Aspect-Level Sentiment Classification
  79. Dynamic Alignment Mask CTC: Improved Mask-CTC with Aligned Cross Entropy
  80. FPTN: Fast Pure Transformer Network for Traffic Flow Forecasting
  81. QI-TTS: Questioning Intonation Control for Emotional Speech Synthesis
  82. Feature representations useful for predicting image memorability
  83. Query2doc: Query Expansion with Large Language Models
  84. SR-init: An interpretable layer pruning method
  85. Sinkhorn-Flow: Predicting Probability Mass Flow in Dynamical Systems Using Optimal Transport
  86. Koos Classification of Vestibular Schwannoma via Image Translation-Based Unsupervised Cross-Modality Domain Adaptation
  87. Co-Salient Object Detection with Co-Representation Purification
  88. AutoTransfer: AutoML with Knowledge Transfer -- An Application to Graph Neural Networks
  89. Relational Multi-Task Learning: Modeling Relations between Data and Tasks
  90. RenewNAT: Renewing Potential Translation for Non-Autoregressive Transformer
  91. Do More With What You Have: Transferring Depth-Scale from Labeled to Unlabeled Domains
  92. NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-view Images
  93. Context Normalization Layer with Applications
  94. Cross-lingual Alzheimer's Disease detection based on paralinguistic and pre-trained features
  95. SimFLE: Simple Facial Landmark Encoding for Self-Supervised Facial Expression Recognition in the Wild
  96. Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review
  97. Clustering with Simplicial Complexes
  98. Rethinking Image-based Table Recognition Using Weakly Supervised Methods
  99. I2-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs
  100. Best arm identification in rare events
  101. PlanarTrack: A Large-scale Challenging Benchmark for Planar Object Tracking
  102. I3D: Transformer architectures with input-dependent dynamic depth for speech recognition
  103. RE-MOVE: An Adaptive Policy Design for Robotic Navigation Tasks in Dynamic Environments via Language-Based Feedback
  104. Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment
  105. The Life Cycle of Knowledge in Big Language Models: A Survey
  106. Variation of Gender Biases in Visual Recognition Models Before and After Finetuning
  107. Exploring ChatGPT's Ability to Rank Content: A Preliminary Study on Consistency with Human Preferences
  108. Training Robust Spiking Neural Networks with ViewPoint Transform and SpatioTemporal Stretching
  109. On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data
  110. PSNet: a deep learning model based digital phase shifting algorithm from a single fringe image
  111. Modeling Continuous Motion for 3D Point Cloud Object Tracking
  112. Redrawing attendance boundaries to promote racial and ethnic diversity in elementary schools
  113. V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception
  114. Forecasting COVID-19 Infections in Gulf Cooperation Council (GCC) Countries using Machine Learning
  115. A Contrastive Knowledge Transfer Framework for Model Compression and Transfer Learning
  116. AdPE: Adversarial Positional Embeddings for Pretraining Vision Transformers via MAE+
  117. Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers
  118. Frequency-Modulated Point Cloud Rendering with Easy Editing
  119. Sequential three-way decisions with a single hidden layer feedforward neural network
  120. Input-length-shortening and text generation via attention values
  121. Calibrated Teacher for Sparsely Annotated Object Detection
  122. Sensitive Region-based Metamorphic Testing Framework using Explainable AI
  123. VANI: Very-lightweight Accent-controllable TTS for Native and Non-native speakers with Identity Preservation
  124. Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical Flow
  125. Machine Learning Computer Vision Applications for Spatial AI Object Recognition in Orange County, California
  126. Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights
  127. HazardNet: Road Debris Detection by Augmentation of Synthetic Models
  128. Constrained Adversarial Learning for Automated Software Testing: a literature review
  129. Implicit and Explicit Commonsense for Multi-sentence Video Captioning
  130. WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis
  131. Tensor-based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI