mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 31 Jan 2022

163 papers

  1. AntidoteRT: Run-time Detection and Correction of Poison Attacks on Neural NetworksLLM safety and security → Backdoor and data poisoning attacks
  2. ROCK: Causal Inference Principles for Reasoning about Commonsense CausalityLLM reasoning → Causal reasoning in LLMs
  3. Deep-Disaster: Unsupervised Disaster Detection and Localization Using Visual DataKnowledge distillation → Detection and dense prediction distillation
  4. Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  5. CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles using Deep Reinforcement LearningEnd-to-end autonomous driving → Cooperative and V2X driving
  6. Deep Learning Approaches on Image Captioning: A ReviewMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  7. A Survey on Image Deblurring
  8. Comparative Study of Machine Learning Models for Stock Price Prediction
  9. Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks?
  10. An Artificial Intelligence Dataset for Solar Energy Locations in India
  11. Adaptive Sampling Strategies to Construct Equitable Training Datasets
  12. Disaster Tweets Classification using BERT-Based Language Model
  13. AI-based Medical e-Diagnosis for Fast and Automatic Ventricular Volume Measurement in the Patients with Normal Pressure Hydrocephalus
  14. Differentially Private Community Detection for Stochastic Block Models
  15. Reducing the Amount of Real World Data for Object Detector Training with Synthetic Data
  16. Similarity Learning based Few Shot Learning for ECG Time Series Classification
  17. GENEOnet: A new machine learning paradigm based on Group Equivariant Non-Expansive Operators. An application to protein pocket detection
  18. Learning Infinite-Horizon Average-Reward Markov Decision Processes with Constraints
  19. Evaluating Deep Vs. Wide & Deep Learners As Contextual Bandits For Personalized Email Promo Recommendations
  20. Step-size Adaptation Using Exponentiated Gradient Updates
  21. Studying the Robustness of Anti-adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors
  22. Submodularity In Machine Learning and Artificial Intelligence
  23. Fundamental Limits for Sensor-Based Robot Control
  24. QALD-9-plus: A Multilingual Dataset for Question Answering over DBpedia and Wikidata Translated by Native Speakers
  25. Continuous Forecasting via Neural Eigen Decomposition
  26. Imbedding Deep Neural Networks
  27. Generalization in Cooperative Multi-Agent Systems
  28. Real-Time Facial Expression Recognition using Facial Landmarks and Neural Networks
  29. Calibration of P-values for calibration and for deviation of a subpopulation from the full population
  30. A Comparison of Different Approaches to Dynamic Origin-Destination Matrix Estimation in Urban Traffic
  31. Self-supervised Graphs for Audio Representation Learning with Limited Labeled Data
  32. Semi-supervised Identification and Mapping of Surface Water Extent using Street-level Monitoring Videos
  33. Deconfounded Representation Similarity for Comparison of Neural Networks
  34. Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models
  35. Understanding AdamW through Proximal Methods and Scale-Freeness
  36. Reinforcement Learning with Heterogeneous Data: Estimation and Inference
  37. Holistic Fine-grained GGS Characterization: From Detection to Unbalanced Classification
  38. Trust Region Bounds for Decentralized PPO Under Non-stationarity
  39. On solutions of the distributional Bellman equation
  40. You May Not Need Ratio Clipping in PPO
  41. A heteroencoder architecture for prediction of failure locations in porous metals using variational inference
  42. Optimal Estimation of Off-Policy Policy Gradient via Double Fitted Iteration
  43. SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning
  44. JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion
  45. Implicit Concept Drift Detection for Multi-label Data Streams
  46. AutoGeoLabel: Automated Label Generation for Geospatial Machine Learning
  47. Learning affective meanings that derives the social behavior using Bidirectional Encoder Representations from Transformers
  48. Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning Approach
  49. SnAKe: Bayesian Optimization with Pathwise Exploration
  50. Single Time-scale Actor-critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees
  51. Finding Directions in GAN's Latent Space for Neural Face Reenactment
  52. Unsupervised Network Intrusion Detection System for AVTP in Automotive Ethernet Networks
  53. Learning Fair Representations via Rate-Distortion Maximization
  54. YOUNG Star detrending for Transiting Exoplanet Recovery (YOUNGSTER) II: Using Self-Organising Maps to explore young star variability in Sectors 1-13 of TESS data
  55. Exoplanet Characterization using Conditional Invertible Neural Networks
  56. Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement
  57. Identifying Dementia Subtypes with Electronic Health Records
  58. MEGA: Model Stealing via Collaborative Generator-Substitute Networks
  59. Warmth and competence in human-agent cooperation
  60. Third Time's the Charm? Image and Video Editing with StyleGAN3
  61. Constrained Density Matching and Modeling for Cross-lingual Alignment of Contextualized Representations
  62. Fuzzy Segmentations of a String
  63. Agnostic Learnability of Halfspaces via Logistic Loss
  64. Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings
  65. A framework for bilevel optimization that enables stochastic and global variance reduction algorithms
  66. Extreme precipitation forecasting using attention augmented convolutions
  67. Cross-Lingual Dialogue Dataset Creation via Outline-Based Generation
  68. Vibration Fault Diagnosis in Wind Turbines based on Automated Feature Learning
  69. Spectral image clustering on dual-energy CT scans using functional regression mixtures
  70. NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy
  71. Neural Collaborative Filtering Bandits via Meta Learning
  72. MHSnet: Multi-head and Spatial Attention Network with False-Positive Reduction for Pulmonary Nodules Detection
  73. Physics-informed neural networks for non-Newtonian fluid thermo-mechanical problems: an application to rubber calendering process
  74. Compositional Multi-Object Reinforcement Learning with Linear Relation Networks
  75. L-SVRG and L-Katyusha with Adaptive Sampling
  76. Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension
  77. Deep Learning Macroeconomics
  78. Neural Network Training with Asymmetric Crosspoint Elements
  79. Differentially Private Top-k Selection via Canonical Lipschitz Mechanism
  80. Robust supervised learning with coordinate gradient descent
  81. Signing the Supermask: Keep, Hide, Invert
  82. DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning
  83. LinSyn: Synthesizing Tight Linear Bounds for Arbitrary Neural Network Activation Functions
  84. Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation
  85. Steady-State Error Compensation in Reference Tracking and Disturbance Rejection Problems for Reinforcement Learning-Based Control
  86. Can Adversarial Training Be Manipulated By Non-Robust Features?
  87. Guided Semi-Supervised Non-negative Matrix Factorization on Legal Documents
  88. Constructing coarse-scale bifurcation diagrams from spatio-temporal observations of microscopic simulations: A parsimonious machine learning approach
  89. Learning to Hash Naturally Sorts
  90. BEER: Fast O(1/T) Rate for Decentralized Nonconvex Optimization with Communication Compression
  91. Optimizing LLVM Pass Sequences with Shackleton: A Linear Genetic Programming Framework
  92. Metrics for saliency map evaluation of deep learning explanation methods
  93. UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs
  94. Combining Local and Global Pose Estimation for Precise Tracking of Similar Objects
  95. StRegA: Unsupervised Anomaly Detection in Brain MRIs using a Compact Context-encoding Variational Autoencoder
  96. Trajectory balance: Improved credit assignment in GFlowNets
  97. Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization
  98. Learning Hamiltonians of constrained mechanical systems
  99. Differentiating and Integrating ZX Diagrams with Applications to Quantum Machine Learning
  100. Correcting diacritics and typos with a ByT5 transformer model
All 163
  1. POTATO: exPlainable infOrmation exTrAcTion framewOrk
  2. Fast Distributed k-Means with a Small Number of Rounds
  3. Memory-Efficient Backpropagation through Large Linear Layers
  4. Compactness Score: A Fast Filter Method for Unsupervised Feature Selection
  5. Uncertainty-aware Pseudo-label Selection for Positive-Unlabeled Learning
  6. Differentiable Neural Radiosity
  7. Learning Super-Features for Image Retrieval
  8. Learning on Arbitrary Graph Topologies via Predictive Coding
  9. Few-Shot Backdoor Attacks on Visual Object Tracking
  10. Score vs. Winrate in Score-Based Games: which Reward for Reinforcement Learning?
  11. Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback
  12. Cooperative Online Learning in Stochastic and Adversarial MDPs
  13. Causal Explanations and XAI
  14. SPAGHETTI: Editing Implicit Shapes Through Part Aware Generation
  15. Imperceptible and Multi-channel Backdoor Attack against Deep Neural Networks
  16. Equivariant neural networks for recovery of Hadamard matrices
  17. Low-Rank Updates of Matrix Square Roots
  18. Assessment of DeepONet for reliability analysis of stochastic nonlinear dynamical systems
  19. On the identifiability of mixtures of ranking models
  20. Deletion Robust Submodular Maximization over Matroids
  21. Unified Perspective on Probability Divergence via Maximum Likelihood Density Ratio Estimation: Bridging KL-Divergence and Integral Probability Metrics
  22. Corpus for Automatic Structuring of Legal Documents
  23. Lessons from the AdKDD'21 Privacy-Preserving ML Challenge
  24. Continual Repeated Annealed Flow Transport Monte Carlo
  25. An end-to-end deep learning approach for extracting stochastic dynamical systems with α-stable L'evy noise
  26. Bayesian Optimization for Distributionally Robust Chance-constrained Problem
  27. Computational Complexity of Segmentation
  28. Adversarial Masking for Self-Supervised Learning
  29. SPDY: Accurate Pruning with Speedup Guarantees
  30. Designing Universal Causal Deep Learning Models: The Geometric (Hyper)Transformer
  31. Crowd-powered Face Manipulation Detection: Fusing Human Examiner Decisions
  32. Unsupervised Anomaly Detection in 3D Brain MRI using Deep Learning with Multi-Task Brain Age Prediction
  33. Jet noise characterization for advanced pipeline leak detection
  34. Lymphoma segmentation from 3D PET-CT images using a deep evidential network
  35. Learning Representations of Entities and Relations
  36. Are Mutually Intelligible Languages Easier to Translate?
  37. Single Object Tracking: A Survey of Methods, Datasets, and Evaluation Metrics
  38. Rigidity Preserving Image Transformations and Equivariance in Perspective
  39. NeuralTailor: Reconstructing Sewing Pattern Structures from 3D Point Clouds of Garments
  40. Nystr"om Kernel Mean Embeddings
  41. A Probabilistic Graph Coupling View of Dimension Reduction
  42. Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm
  43. Predicting Cancer Treatments Induced Cardiotoxicity of Breast Cancer Patients
  44. BOAT: Bilateral Local Attention Vision Transformer
  45. Learning Robust Representation through Graph Adversarial Contrastive Learning
  46. On the Robustness of Quality Measures for GANs
  47. A Simple And Effective Filtering Scheme For Improving Neural Fields
  48. Topology-Preserving Dimensionality Reduction via Interleaving Optimization
  49. On the Power-Law Hessian Spectrums in Deep Learning
  50. Simple Calibration via Geodesic Kernels
  51. MGNN: Graph Neural Networks Inspired by Distance Geometry Problem
  52. Federated Learning with Erroneous Communication Links
  53. Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent
  54. Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism
  55. Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training
  56. Rotting Infinitely Many-armed Bandits
  57. GenMod: A generative modeling approach for spectral representation of PDEs with random inputs
  58. Inverse design of photonic devices with strict foundry fabrication constraints
  59. Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations
  60. Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework
  61. Network Programming via Computable Products
  62. Fair Wrapping for Black-box Predictions
  63. Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons