mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 11 Apr 2022

190 papers

  1. LRH-Net: A Multi-Level Knowledge Distillation Approach for Low-Resource Heart NetworkKnowledge distillation → Distillation for medical imaging
  2. Settling the Sample Complexity of Model-Based Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  3. Mixture-of-experts VAEs can disregard variation in surjective multimodal dataMixture-of-experts → Multimodal MoE models
  4. Automatically Learning Fallback Strategies with Model-Free Reinforcement Learning in Safety-Critical Driving ScenariosEnd-to-end autonomous driving → Reinforcement learning for driving
  5. Neural Lagrangian Schr"odinger Bridge: Diffusion Modeling for Population DynamicsDiffusion models → Diffusion foundations and sampling
  6. Markov categories, causal theories, and the do-calculusLLM reasoning → Causal reasoning in LLMs
  7. How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronouns
  8. Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation
  9. Multiplier with Reduced Activities and Minimized Interconnect for Inner Product Arrays
  10. Deep learning-based surrogate model for 3-D patient-specific computational fluid dynamics
  11. Learning heuristics for A*
  12. SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data Augmentation
  13. Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime
  14. Learning two-phase microstructure evolution using neural operators and autoencoder architectures
  15. Ensemble learning using individual neonatal data for seizure detection
  16. Production federated keyword spotting via distillation, filtering, and joint federated-centralized training
  17. Comparison Analysis of Traditional Machine Learning and Deep Learning Techniques for Data and Image Classification
  18. Variational Heteroscedastic Volatility Model
  19. Ultrasound Shear Wave Elasticity Imaging with Spatio-Temporal Deep Learning
  20. On Top-k Selection from m-wise Partial Rankings via Borda Counting
  21. Neural Processes with Stochastic Attention: Paying more attention to the context dataset
  22. Identifying the Dynamics of a System by Leveraging Data from Similar Systems
  23. Lost Vibration Test Data Recovery Using Convolutional Neural Network: A Case Study
  24. Heterogeneous Acceleration Pipeline for Recommendation System Training
  25. Deep Reinforcement Learning Based Semi-Autonomous Control for Robotic Surgery
  26. A Simple Approach to Adversarial Robustness in Few-shot Image Classification
  27. A Multilingual Perspective Towards the Evaluation of Attribution Methods in Natural Language Inference
  28. Generalizing Adversarial Explanations with Grad-CAM
  29. ProtoTEx: Explaining Model Decisions with Prototype Tensors
  30. A Call for Clarity in Beam Search: How It Works and When It Stops
  31. PF2ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization
  32. Unified Speech-Text Pre-training for Speech Translation and Recognition
  33. Transfer Learning for Autonomous Chatter Detection in Machining
  34. Accelerated Design and Deployment of Low-Carbon Concrete for Data Centers
  35. Improving Few-Shot Part Segmentation using Coarse Supervision
  36. Random Similarity Forests
  37. Self-supervised Vision Transformers for Joint SAR-optical Representation Learning
  38. medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space
  39. Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation
  40. Learning Implicit Priors for Motion Optimization
  41. A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis
  42. Large-Scale Streaming End-to-End Speech Translation with Neural Transducers
  43. Graph Ordering Attention Networks
  44. Position-wise optimizer: A nature-inspired optimization algorithm
  45. Causal Discovery and Causal Learning for Fire Resistance Evaluation: Incorporating Domain Knowledge
  46. On the Generalization of BasicVSR++ to Video Deblurring and Denoising
  47. Toward More Effective Human Evaluation for Machine Translation
  48. Full-Spectrum Out-of-Distribution Detection
  49. Single-Photon Structured Light
  50. Towards Online Domain Adaptive Object Detection
  51. Physically Disentangled Representations
  52. MONCE Tracking Metrics: a comprehensive quantitative performance evaluation methodology for object tracking
  53. Negligible effect of brain MRI data preprocessing for tumor segmentation
  54. Segmentation-Consistent Probabilistic Lesion Counting
  55. MIME: Adapting a Single Neural Network for Multi-task Inference with Memory-efficient Dynamic Pruning
  56. The Importance of Future Information in Credit Card Fraud Detection
  57. Maximum entropy optimal density control of discrete-time linear systems and Schr"odinger bridges
  58. Multi-view graph structure learning using subspace merging on Grassmann manifold
  59. Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information
  60. Bayes Point Rule Set Learning
  61. Learning Local Equivariant Representations for Large-Scale Atomistic Dynamics
  62. Learning Downstream Task by Selectively Capturing Complementary Knowledge from Multiple Self-supervisedly Learning Pretexts
  63. Approximate Top-m Arm Identification with Heterogeneous Reward Variances
  64. Exploring the Universal Vulnerability of Prompt-based Learning Paradigm
  65. Data Splits and Metrics for Method Benchmarking on Surgical Action Triplet Datasets
  66. Survey of Aspect-based Sentiment Analysis Datasets
  67. Towards Generalizable Semantic Product Search by Text Similarity Pre-training on Search Click Logs
  68. GDC- Generalized Distribution Calibration for Few-Shot Learning
  69. CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection
  70. An Optimal Experimental Design Approach for Light Configurations in Photometric Stereo
  71. Persona-driven Dominant/Submissive Map (PDSM) Generation for Tutorials
  72. Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions
  73. Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0
  74. Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling
  75. "FIJO": a French Insurance Soft Skill Detection Dataset
  76. Access to care: analysis of the geographical distribution of healthcare using Linked Open Data
  77. Rethinking Machine Learning Model Evaluation in Pathology
  78. CXR-FL: Deep Learning-Based Chest X-ray Image Analysis Using Federated Learning
  79. A Post-Processing Tool and Feasibility Study for Three-Dimensional Imaging with Electrical Impedance Tomography During Deep Brain Stimulation Surgery
  80. Human vs Objective Evaluation of Colourisation Performance
  81. Task-Synchronized Recurrent Neural Networks
  82. Tokenwise Contrastive Pretraining for Finer Speech-to-BERT Alignment in End-to-End Speech-to-Intent Systems
  83. Correcting Robot Plans with Natural Language Feedback
  84. Uniform Complexity for Text Generation
  85. Building an ASR Error Robust Spoken Virtual Patient System in a Highly Class-Imbalanced Scenario Without Speech Data
  86. Towards Painless Policy Optimization for Constrained MDPs
  87. Machine Learning State-of-the-Art with Uncertainties
  88. Event Transformer
  89. Towards End-to-End Integration of Dialog History for Improved Spoken Language Understanding
  90. The Principle of Least Sensing: A Privacy-Friendly Sensing Paradigm for Urban Big Data Analytics
  91. Generative Biomedical Entity Linking via Knowledge Base-Guided Pre-training and Synonyms-Aware Fine-tuning
  92. Gaining Insights into Unrecognized User Utterances in Task-Oriented Dialog Systems
  93. SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles
  94. Metaethical Perspectives on 'Benchmarking' AI Ethics
  95. The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink
  96. Speech Sequence Embeddings using Nearest Neighbors Contrastive Learning
  97. Focal Length and Object Pose Estimation via Render and Compare
  98. Learning Object-Centered Autotelic Behaviors with Graph Neural Networks
  99. On unsupervised projections and second order signals
  100. SoK: Privacy Preserving Machine Learning using Functional Encryption: Opportunities and Challenges
All 190
  1. Improved Training of Physics-Informed Neural Networks with Model Ensembles
  2. Block-Segmentation Vectors for Arousal Prediction using Semi-supervised Learning
  3. Linguistic communication as (inverse) reward design
  4. M2BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation
  5. XMP-Font: Self-Supervised Cross-Modality Pre-training for Few-Shot Font Generation
  6. Learning Trajectories of Hamiltonian Systems with Neural Networks
  7. End-to-End Speech Translation for Code Switched Speech
  8. Zero-phase angle asteroid taxonomy classification using unsupervised machine learning algorithms
  9. Few-Shot Object Detection in Unseen Domains
  10. Fine-grained Noise Control for Multispeaker Speech Synthesis
  11. HFT: Lifting Perspective Representations via Hybrid Feature Transformation
  12. What do complexity measures measure? Correlating and validating corpus-based measures of morphological complexity
  13. A Novel Channel Identification Architecture for mmWave Systems Based on Eigen Features
  14. Using Linguistic Typology to Enrich Multilingual Lexicons: the Case of Lexical Gaps in Kinship
  15. SAL-CNN: Estimate the Remaining Useful Life of Bearings Using Time-frequency Information
  16. From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology
  17. Resources for Turkish Natural Language Processing: A critical survey
  18. Pyramid Grafting Network for One-Stage High Resolution Saliency Detection
  19. Pareto Conditioned Networks
  20. Assessing the communication gap between AI models and healthcare professionals: explainability, utility and trust in AI-driven clinical decision-making
  21. Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning
  22. Machine Learning and Deep Learning -- A review for Ecologists
  23. Structure-Aware Motion Transfer with Deformable Anchor Model
  24. FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
  25. HiMODE: A Hybrid Monocular Omnidirectional Depth Estimation Model
  26. Team 'UFAL at CMCL 2022 Shared Task: Figuring out the correct recipe for predicting Eye-Tracking features using Pretrained Language Models
  27. Ischemic Stroke Lesion Segmentation Using Adversarial Learning
  28. TRUE: Re-evaluating Factual Consistency Evaluation
  29. gTLO: A Generalized and Non-linear Multi-Objective Deep Reinforcement Learning Approach
  30. T- Hop: Tensor representation of paths in graph convolutional networks
  31. A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition
  32. Regularization-based Pruning of Irrelevant Weights in Deep Neural Architectures
  33. External control of a genetic toggle switch via Reinforcement Learning
  34. Non-Convex Optimization with Certificates and Fast Rates Through Kernel Sums of Squares
  35. Assessing hierarchies by their consistent segmentations
  36. Bimodal Camera Pose Prediction for Endoscopy
  37. Multistream neural architectures for cued-speech recognition using a pre-trained visual feature extractor and constrained CTC decoding
  38. Projection-free Online Learning with Arbitrary Delays
  39. Segmentation Network with Compound Loss Function for Hydatidiform Mole Hydrops Lesion Recognition
  40. Machine learning based event classification for the energy-differential measurement of the natC(n,p) and natC(n,d) reactions
  41. MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification
  42. Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data
  43. A Semantic Segmentation Network Based Real-Time Computer-Aided Diagnosis System for Hydatidiform Mole Hydrops Lesion Recognition in Microscopic View
  44. Semantic Segmentation for Point Cloud Scenes via Dilated Graph Feature Aggregation and Pyramid Decoders
  45. Value-based Practical Reasoning: Modal Logic + Argumentation
  46. Assessment of Massively Multilingual Sentiment Classifiers
  47. When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search
  48. A Token-level Contrastive Framework for Sign Language Translation
  49. Zero-shot Cross-lingual Conversational Semantic Role Labeling
  50. Permutation-Invariant Relational Network for Multi-person 3D Pose Estimation
  51. Category-Aware Transformer Network for Better Human-Object Interaction Detection
  52. No Token Left Behind: Explainability-Aided Image Classification and Generation
  53. Same Author or Just Same Topic? Towards Content-Independent Style Representations
  54. Application of QUBO solver using black-box optimization to structural design for resonance avoidance
  55. Evaluating Vision Transformer Methods for Deep Reinforcement Learning from Pixels
  56. NeuS: Neutral Multi-News Summarization for Mitigating Framing Bias
  57. Confusing Image Quality Assessment: Towards Better Augmented Reality Experience
  58. JORLDY: a fully customizable open source framework for reinforcement learning
  59. Methods of Informational Trends Analytics and Fake News Detection on Twitter
  60. Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization
  61. Knowledge Graph and Accurate Portrait Construction of Scientific and Technological Academic Conferences
  62. Research on Cross-media Science and Technology Information Data Retrieval
  63. Accurate Portraits of Scientific Resources and Knowledge Service Components
  64. How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
  65. Lyapunov-Guided Representation of Recurrent Neural Network Performance
  66. Learning to Induce Causal Structure
  67. Augmentation-Free Graph Contrastive Learning with Performance Guarantee
  68. Adapting BigScience Multilingual Model to Unseen Languages
  69. Evaluation of Automatic Text Summarization using Synthetic Facts
  70. Structured Graph Variational Autoencoders for Indoor Furniture layout Generation
  71. A novel stereo matching pipeline with robustness and unfixed disparity search range
  72. Tweet Emotion Dynamics: Emotion Word Usage in Tweets from US and Canada
  73. SUMD: Super U-shaped Matrix Decomposition Convolutional neural network for Image denoising
  74. A Survey on Legal Judgment Prediction: Datasets, Metrics, Models and Challenges
  75. Stability and Generalization of Differentially Private Minimax Problems
  76. Fusion of Self-supervised Learned Models for MOS Prediction
  77. HFL at SemEval-2022 Task 8: A Linguistics-inspired Regression Model with Data Augmentation for Multilingual News Similarity
  78. An Adaptive Alternating-direction-method-based Nonnegative Latent Factor Model
  79. Towards Homogeneous Modality Learning and Multi-Granularity Information Exploration for Visible-Infrared Person Re-Identification
  80. Autonomous Mobile Clinics: Empowering Affordable Anywhere Anytime Healthcare Access
  81. Dependable Intrusion Detection System for IoT: A Deep Transfer Learning-based Approach
  82. Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction Detection
  83. Word Embeddings Are Capable of Capturing Rhythmic Similarity of Words
  84. Cello: Efficient Computer Systems Optimization with Predictive Early Termination and Censored Regression
  85. Improved Approximations for Euclidean k-means and k-median, via Nested Quasi-Independent Sets
  86. RMFGP: Rotated Multi-fidelity Gaussian process with Dimension Reduction for High-dimensional Uncertainty Quantification
  87. Effective Mutation Rate Adaptation through Group Elite Selection
  88. Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning
  89. OutfitTransformer: Learning Outfit Representations for Fashion Recommendation
  90. On the pragmatism of using binary classifiers over data intensive neural network classifiers for detection of COVID-19 from voice