mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 20 Mar 2023

228 papers

  1. NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using Diffusion ModelsDiffusion models → Medical imaging and segmentation
  2. Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image RestorationDiffusion models → Inverse problems and image restoration
  3. Text2Tex: Text-driven Texture Synthesis via Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  4. MM-REACT: Prompting ChatGPT for Multimodal Reasoning and ActionLLM reasoning → Multimodal reasoning
  5. Bridging Imitation and Online Reinforcement Learning: An Optimistic TaleOffline RL and imitation learning from data → Imitation learning methods
  6. Reflexion: Language Agents with Verbal Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
  7. Recursive Euclidean Distance Based Robust Aggregation Technique For Federated LearningLLM safety and security → Federated unlearning and poisoning
  8. Zero-1-to-3: Zero-shot One Image to 3D ObjectDiffusion models → 3D, point cloud and scene generation
  9. 3D Concept Learning and Reasoning from Multi-View ImagesLLM reasoning → Spatial and embodied reasoning
  10. CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D RecognitionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  11. Localizing Object-level Shape Variations with Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  12. SVDiff: Compact Parameter Space for Diffusion Fine-TuningDiffusion models → Image generation, text-to-image and editing
  13. Cascaded Latent Diffusion Models for High-Resolution Chest X-ray SynthesisDiffusion models → Medical imaging and segmentation
  14. A Survey of Demonstration LearningOffline RL and imitation learning from data → Robot learning from demonstration
  15. AnimeDiffusion: Anime Face Line Drawing Colorization via Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  16. Positional Diffusion: Ordering Unordered Sets with Diffusion Probabilistic ModelsDiffusion models → Discrete and text diffusion
  17. Understanding the Role of the Projector in Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  18. Discovering Interpretable Directions in the Semantic Latent Space of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  19. Knowledge Distillation from Multiple Foundation Models for End-to-End Speech RecognitionKnowledge distillation → Speech and audio distillation
  20. Leapfrog Diffusion Model for Stochastic Trajectory PredictionDiffusion models → Diffusion and flow policies for robotics
  21. Object-Centric Slot DiffusionDiffusion models → Image generation, text-to-image and editing
  22. Maximizing Penetration Testing Success with Effective Reconnaissance Techniques using ChatGPT
  23. The Multimodal And Modular Ai Chef: Complex Recipe Generation From Imagery
  24. Evidential Transactions with Cyberlogic
  25. GNN-Assisted Phase Space Integration with Application to Atomistics
  26. Learning Semantic Text Similarity to rank Hypernyms of Financial Terms
  27. Capabilities of GPT-4 on Medical Challenge Problems
  28. DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness
  29. Leveraging Foundation Models for Clinical Text Analysis
  30. DR.CPO: Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion
  31. Empirical Assessment of End-to-End Iris Recognition System Capacity
  32. Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning
  33. Deep trip generation with graph neural networks for bike sharing system expansion
  34. A fuzzy adaptive evolutionary-based feature selection and machine learning framework for single and multi-objective body fat prediction
  35. Unsupervised Cross-Domain Rumor Detection with Contrastive Learning and Cross-Attention
  36. High Probability Bounds for Stochastic Continuous Submodular Maximization
  37. Sparse Distributed Memory is a Continual Learner
  38. Lipschitz-bounded 1D convolutional neural networks using the Cayley transform and the controllability Gramian
  39. Decentralized Online Learning for Random Inverse Problems Over Graphs
  40. Language Model Behavior: A Comprehensive Survey
  41. Sketch2Saliency: Learning to Detect Salient Objects from Human Drawings
  42. Convolutions, Transformers, and their Ensembles for the Segmentation of Organs at Risk in Radiation Treatment of Cervical Cancer
  43. FlexVDW: A machine learning approach to account for protein flexibility in ligand docking
  44. Automatic Measures for Evaluating Generative Design Methods for Architects
  45. Sandwiched Video Compression: Efficiently Extending the Reach of Standard Codecs with Neural Wrappers
  46. Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Watermarking
  47. Seven open problems in applied combinatorics
  48. Fairness-Aware Graph Filter Design
  49. Large Language Models and Simple, Stupid Bugs
  50. How (Implicit) Regularization of ReLU Neural Networks Characterizes the Learned Function -- Part II: the Multi-D Case of Two Layers with Random First Layer
  51. Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing
  52. Bias mitigation techniques in image classification: fair machine learning in human heritage collections
  53. Geometrical aspects of lattice gauge equivariant convolutional neural networks
  54. Mind meets machine: Unravelling GPT-4's cognitive psychology
  55. ResDTA: Predicting Drug-Target Binding Affinity Using Residual Skip Connections
  56. Lamarr: LHCb ultra-fast simulation based on machine learning models deployed within Gauss
  57. Improving Human-Robot Collaboration via Computational Design
  58. Polynomial Implicit Neural Representations For Large Diverse Datasets
  59. EPiC: Ensemble of Partial Point Clouds for Robust Classification
  60. Targeted Analysis of High-Risk States Using an Oriented Variational Autoencoder
  61. Semi-Automated Segmentation of Geoscientific Data Using Superpixels
  62. eP-ALM: Efficient Perceptual Augmentation of Language Models
  63. Creating Ensembles of Classifiers through UMDA for Aerial Scene Classification
  64. Solving High-Dimensional Inverse Problems with Auxiliary Uncertainty via Operator Learning with Limited Data
  65. GNN-Ensemble: Towards Random Decision Graph Neural Networks
  66. Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement
  67. Optimized preprocessing and Tiny ML for Attention State Classification
  68. DehazeNeRF: Multiple Image Haze Removal and 3D Shape Reconstruction using Neural Radiance Fields
  69. What does it take to catch a Chinchilla? Verifying Rules on Large-Scale Neural Network Training via Compute Monitoring
  70. FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder
  71. Towards Domain Generalization for ECG and EEG Classification: Algorithms and Benchmarks
  72. EVA-02: A Visual Representation for Neon Genesis
  73. Legs as Manipulator: Pushing Quadrupedal Agility Beyond Locomotion
  74. Sound Localization from Motion: Jointly Learning Sound Direction and Camera Rotation
  75. GeoMIM: Towards Better 3D Knowledge Transfer via Masked Image Modeling for Multi-view 3D Understanding
  76. Open-vocabulary Panoptic Segmentation with Embedding Modulation
  77. Tangent Bundle Convolutional Learning: from Manifolds to Cellular Sheaves and Back
  78. ScribbleSeg: Scribble-based Interactive Image Segmentation
  79. Generative Semantic Segmentation
  80. Context-faithful Prompting for Large Language Models
  81. DIME-Net: Neural Network-Based Dynamic Intrinsic Parameter Rectification for Cameras with Optical Image Stabilization System
  82. Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning
  83. VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking
  84. Reliability in Semantic Segmentation: Are We on the Right Track?
  85. Attribute-preserving Face Dataset Anonymization via Latent Code Optimization
  86. Rethinking SO(3)-equivariance with Bilinear Tensor Networks
  87. Bayesian Pseudo-Coresets via Contrastive Divergence
  88. Model Stitching: Looking For Functional Similarity Between Representations
  89. Cascading Hierarchical Networks with Multi-task Balanced Loss for Fine-grained hashing
  90. Agent-based Simulation for Online Mental Health Matching
  91. Rethinking the backbone architecture for tiny object detection
  92. Convergence Guarantees of Overparametrized Wide Deep Inverse Prior
  93. Unit Scaling: Out-of-the-Box Low-Precision Training
  94. Zero-Shot Noise2Noise: Efficient Image Denoising without any Data
  95. Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers
  96. What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement
  97. Memorization Capacity of Neural Networks with Conditional Computation
  98. Augment and Criticize: Exploring Informative Samples for Semi-Supervised Monocular 3D Object Detection
  99. Make Landscape Flatter in Differentially Private Federated Learning
  100. Training Invertible Neural Networks as Autoencoders
All 228
  1. FullFormer: Generating Shapes Inside Shapes
  2. Sparse Recovery with Shuffled Labels: Statistical Limits and Practical Estimators
  3. Bimodal SegNet: Instance Segmentation Fusing Events and RGB Frames for Robotic Grasping
  4. HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details
  5. NeTO:Neural Reconstruction of Transparent Objects with Self-Occlusion Aware Refraction-Tracing
  6. Inverse problem regularization with hierarchical variational autoencoders
  7. Learning to Generate 3D Representations of Building Roofs Using Single-View Aerial Imagery
  8. Accurate Detection of Mediastinal Lesions with nnDetection
  9. Fluctuation-based deconvolution in fluorescence microscopy using plug-and-play denoisers
  10. Investigating Topological Order using Recurrent Neural Networks
  11. Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation
  12. A set of semantic data flow diagrams and its security analysis based on ontologies and knowledge graphs
  13. Bridging the Global Divide in AI Regulation: A Proposal for a Contextual, Coherent, and Commensurable Framework
  14. Multimodal Shannon Game with Images
  15. A Unified Framework of Policy Learning for Contextual Bandit with Confounding Bias and Missing Observations
  16. Conversation Modeling to Predict Derailment
  17. Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning
  18. Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation
  19. Integration of Radiomics and Tumor Biomarkers in Interpretable Machine Learning Models
  20. Imitating Graph-Based Planning with Goal-Conditioned Policies
  21. Computationally Budgeted Continual Learning: What Does Matter?
  22. Picture that Sketch: Photorealistic Image Generation from Abstract Sketches
  23. An ADMM approach for multi-response regression with overlapping groups and interaction effects
  24. Adversarial Attacks against Binary Similarity Systems
  25. DocRED-FE: A Document-Level Fine-Grained Entity And Relation Extraction Dataset
  26. Opportunities and Challenges to Integrate Artificial Intelligence into Manufacturing Systems: Thoughts from a Panel Discussion
  27. Fault Detection via Occupation Kernel Principal Component Analysis
  28. TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization
  29. Cocktail HuBERT: Generalized Self-Supervised Pre-training for Mixture and Single-Source Speech
  30. Deep learning automated quantification of lung disease in pulmonary hypertension on CT pulmonary angiography: A preliminary clinical study with external validation
  31. MT-SNN: Enhance Spiking Neural Network with Multiple Thresholds
  32. Robustifying Token Attention for Vision Transformers
  33. EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversation
  34. SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage
  35. CHATEDIT: Towards Multi-turn Interactive Facial Image Editing via Dialogue
  36. Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling
  37. Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning
  38. A Multi-Task Deep Learning Approach for Sensor-based Human Activity Recognition and Segmentation
  39. Scene Graph Based Fusion Network For Image-Text Retrieval
  40. EmoTalk: Speech-Driven Emotional Disentanglement for 3D Face Animation
  41. Pluralistic Aging Diffusion Autoencoder
  42. Evaluating Language Models for Knowledge Base Completion
  43. Differentially Private Algorithms for Synthetic Power System Datasets
  44. Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection
  45. Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data
  46. Quantile and moment neural networks for learning functionals of distributions
  47. Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation
  48. Parameter-Free Channel Attention for Image Classification and Super-Resolution
  49. ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning
  50. SGFormer: Semantic Graph Transformer for Point Cloud-based 3D Scene Graph Generation
  51. Convergence analysis and acceleration of the smoothing methods for solving extensive-form games
  52. Hospitalization Length of Stay Prediction using Patient Event Sequences
  53. From Sparse to Precise: A Practical Editing Approach for Intracardiac Echocardiography Segmentation
  54. Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving
  55. Internal Structure Attention Network for Fingerprint Presentation Attack Detection from Optical Coherence Tomography
  56. DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4
  57. MAQA: A Quantum Framework for Supervised Learning
  58. DS-TDNN: Dual-stream Time-delay Neural Network with Global-aware Filter for Speaker Verification
  59. A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide Images
  60. Learning Optical Flow from Event Camera with Rendered Dataset
  61. Controllable Ancient Chinese Lyrics Generation Based on Phrase Prototype Retrieving
  62. Tubelet-Contrastive Self-Supervision for Video-Efficient Generalization
  63. Late Meta-learning Fusion Using Representation Learning for Time Series Forecasting
  64. Induced Feature Selection by Structured Pruning
  65. A Survey on Oversmoothing in Graph Neural Networks
  66. Versatile Depth Estimator Based on Common Relative Depth Estimation and Camera-Specific Relative-to-Metric Depth Conversion
  67. Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-identification
  68. VIMI: Vehicle-Infrastructure Multi-view Intermediate Fusion for Camera-based 3D Object Detection
  69. Translate your gibberish: black-box adversarial attack on machine translation systems
  70. Semantic segmentation of surgical hyperspectral images under geometric domain shifts
  71. Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching
  72. Real-time 3D Semantic Scene Completion Via Feature Aggregation and Conditioned Prediction
  73. Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning
  74. Neural Implicit Vision-Language Feature Fields
  75. LFACon: Introducing Anglewise Attention to No-Reference Quality Assessment in Light Field Space
  76. Improved Benthic Classification using Resolution Scaling and SymmNet Unsupervised Domain Adaptation
  77. Constructing Metric-Semantic Maps using Floor Plan Priors for Long-Term Indoor Localization
  78. Uncertainty-aware deep learning for digital twin-driven monitoring: Application to fault detection in power lines
  79. Tracker Meets Night: A Transformer Enhancer for UAV Tracking
  80. Code-Switching Text Generation and Injection in Mandarin-English ASR
  81. Open-World Pose Transfer via Sequential Test-Time Adaption
  82. Location-Free Scene Graph Generation
  83. On-the-fly Text Retrieval for End-to-End ASR Adaptation
  84. HMC: Hierarchical Mesh Coarsening for Skeleton-free Motion Retargeting
  85. Boosting Weakly Supervised Object Detection using Fusion and Priors from Hallucinated Depth
  86. Learning to Explore Informative Trajectories and Samples for Embodied Perception
  87. EMC2-Net: Joint Equalization and Modulation Classification based on Constellation Network
  88. Approaching an unknown communication system by latent space exploration and causal inference
  89. Dynamic Object Removal for Effective Slam
  90. Learning Behavior Recognition in Smart Classroom with Multiple Students Based on YOLOv5
  91. Exploring Representation Learning for Small-Footprint Keyword Spotting
  92. Graph Neural Rough Differential Equations for Traffic Forecasting
  93. Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition
  94. Feature Alignment and Uniformity for Test Time Adaptation
  95. A Tiny Machine Learning Model for Point Cloud Object Classification
  96. Relate auditory speech to EEG by shallow-deep attention-based network
  97. Graphics Capsule: Learning Hierarchical 3D Face Representations from 2D Images
  98. M2SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation
  99. Character, Word, or Both? Revisiting the Segmentation Granularity for Chinese Pre-trained Language Models
  100. Non-Exemplar Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement
  101. Self-Improving-Leaderboard(SIL): A Call for Real-World Centric Natural Language Processing Leaderboards
  102. Explicit Visual Prompting for Low-Level Structure Segmentations
  103. Efficient Map Sparsification Based on 2D and 3D Discretized Grids
  104. Machine Learning Automated Approach for Enormous Synchrotron X-Ray Diffraction Data Interpretation
  105. Rotating without Seeing: Towards In-hand Dexterity through Touch
  106. EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning
  107. Hardware-Aware Graph Neural Network Automated Design for Edge Computing Platforms
  108. NASA Science Mission Directorate Knowledge Graph Discovery
  109. Multi-task Transformer with Relation-attention and Type-attention for Named Entity Recognition
  110. Retrieving Multimodal Information for Augmented Generation: A Survey
  111. Decomposed Prototype Learning for Few-Shot Scene Graph Generation
  112. Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs
  113. Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training
  114. Dynamic Documentation for AI Systems
  115. Multi-modal Facial Affective Analysis based on Masked Autoencoder
  116. Weakly-Supervised Text Instance Segmentation
  117. PanGu-Sigma: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing
  118. Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection
  119. MXM-CLR: A Unified Framework for Contrastive Learning of Multifold Cross-Modal Representations
  120. Deceptive Reinforcement Learning in Model-Free Domains
  121. FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System
  122. DataLight: Offline Data-Driven Traffic Signal Control
  123. Visual Prompt Multi-Modal Tracking
  124. k-SALSA: k-anonymous synthetic averaging of retinal images via local style alignment
  125. Unsupervised Intrinsic Image Decomposition with LiDAR Intensity
  126. IMF: Interactive Multimodal Fusion Model for Link Prediction
  127. PASS: Peer-Agreement based Sample Selection for training with Noisy Labels
  128. A Global Model Approach to Robust Few-Shot SAR Automatic Target Recognition