mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 2 Feb 2023

226 papers

  1. The unreasonable effectiveness of few-shot learning for machine translationLLM reasoning → Reasoning benchmarks and evaluation
  2. Multi-modal Gated Mixture of Local-to-Global Experts for Dynamic Image FusionMixture-of-experts → Vision mixture-of-experts
  3. Dreamix: Video Diffusion Models are General Video EditorsDiffusion models → Video generation
  4. Accelerating Large Language Model Decoding with Speculative SamplingEfficient LLM inference and serving → Speculative decoding
  5. Are Diffusion Models Vulnerable to Membership Inference Attacks?Diffusion models → Robustness, privacy and adversarial aspects +1
  6. A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic ModelsDiffusion models → 3D, point cloud and scene generation
  7. Paced-Curriculum Distillation with Prediction and Label Uncertainty for Image SegmentationKnowledge distillation → Distillation for medical imaging
  8. Visual Imitation Learning with Patch RewardsOffline RL and imitation learning from data → Imitation learning methods
  9. Policy Expansion for Bridging Offline-to-Online Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  10. Multimodal Chain-of-Thought Reasoning in Language ModelsLLM reasoning → Multimodal reasoning
  11. QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative ModelsDiffusion models → Diffusion foundations and sampling
  12. Modeling Causal Mechanisms with Diffusion Models for Interventional and Counterfactual QueriesDiffusion models → Diffusion foundations and sampling
  13. Scaling Up Computer Vision Neural Networks Using Fast Fourier Transform
  14. Multivariate Systemic Risk Measures and Computation by Deep Learning Algorithms
  15. Merging satellite and gauge-measured precipitation using LightGBM with an emphasis on extreme quantiles
  16. Listen2Scene: Interactive material-aware binaural sound propagation for reconstructed 3D scenes
  17. Avalanche: A PyTorch Library for Deep Continual Learning
  18. Leveraging a Probabilistic PCA Model to Understand the Multivariate Statistical Network Monitoring Framework for Network Security Anomaly Detection
  19. Machine Learning Extreme Acoustic Non-reciprocity in a Linear Waveguide with Multiple Nonlinear Asymmetric Gates
  20. Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler
  21. Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy
  22. A sliced-Wasserstein distance-based approach for out-of-class-distribution detection
  23. CTE: A Dataset for Contextualized Table Extraction
  24. Performance Bounds for Policy-Based Average Reward Reinforcement Learning Algorithms
  25. Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service"
  26. DOR: A Novel Dual-Observation-Based Approach for News Recommendation Systems
  27. Commonsense-Aware Prompting for Controllable Empathetic Dialogue Generation
  28. Generalized Uncertainty of Deep Neural Networks: Taxonomy and Applications
  29. Target specific peptide design using latent space approximate trajectory collector
  30. Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation
  31. Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition
  32. Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
  33. Follower Agnostic Methods for Stackelberg Games
  34. A Convolutional-based Model for Early Prediction of Alzheimer's based on the Dementia Stage in the MRI Brain Images
  35. Neural Insights for Digital Marketing Content Design
  36. Hyperbolic Contrastive Learning
  37. Hypothesis Testing and Machine Learning: Interpreting Variable Effects in Deep Artificial Neural Networks using Cohen's f2
  38. Provably Bounding Neural Network Preimages
  39. Self-Supervised Relation Alignment for Scene Graph Generation
  40. Personalized Understanding of Blood Glucose Dynamics via Mobile Sensor Data
  41. Accelerating Policy Gradient by Estimating Value Function from Prior Computation in Deep Reinforcement Learning
  42. Continual Learning with Scaled Gradient Projection
  43. Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access
  44. Energy-Inspired Self-Supervised Pretraining for Vision Models
  45. Mixed Precision Post Training Quantization of Neural Networks with Sensitivity Guided Search
  46. Effective Robustness against Natural Distribution Shifts for Models with Different Training Data
  47. Learning with Exposure Constraints in Recommendation Systems
  48. On the Robustness of Randomized Ensembles to Adversarial Perturbations
  49. Neural Network Architecture for Database Augmentation Using Shared Features
  50. Augmented Learning of Heterogeneous Treatment Effects via Gradient Boosting Trees
  51. Curriculum-Guided Abstractive Summarization
  52. Creating a Large Language Model of a Philosopher
  53. STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation
  54. Lower Bounds for Learning in Revealing POMDPs
  55. Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval
  56. SceneDreamer: Unbounded 3D Scene Generation from 2D Image Collections
  57. IC3: Image Captioning by Committee Consensus
  58. Dual PatchNorm
  59. Federated Analytics: A survey
  60. Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback
  61. Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types
  62. Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling
  63. Knowledge Gradient for Multi-Objective Bayesian Optimization with Decoupled Evaluations
  64. Large language models predict human sensory judgments across six modalities
  65. Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity
  66. MARLIN: Soft Actor-Critic based Reinforcement Learning for Congestion Control in Real Networks
  67. Ditto in the House: Building Articulation Models of Indoor Scenes through Interactive Perception
  68. Multi-scale Feature Alignment for Continual Learning of Unlabeled Domains
  69. Convolutional Autoencoders, Clustering and POD for Low-dimensional Parametrization of Navier-Stokes Equations
  70. ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs
  71. Geometric Deep Learning for Autonomous Driving: Unlocking the Power of Graph Neural Networks With CommonRoad-Geometric
  72. adSformers: Personalization from Short-Term Sequences and Diversity of Representations in Etsy Ads
  73. Identifying regions of importance in wall-bounded turbulence through explainable deep learning
  74. Robust Markov Decision Processes without Model Estimation
  75. Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function
  76. Human not in the loop: objective sample difficulty measures for Curriculum Learning
  77. Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal
  78. Diagrammatization and Abduction to Improve AI Interpretability With Domain-Aligned Explanations for Medical Diagnosis
  79. Robust Estimation under the Wasserstein Distance
  80. A Machine Learning Approach to Measuring Climate Adaptation
  81. Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons
  82. Factor Fields: A Unified Framework for Neural Fields and Beyond
  83. Practical Bandits: An Industry Perspective
  84. A novel automatic wind power prediction framework based on multi-time scale and temporal attention mechanisms
  85. Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs
  86. Online Learning under Budget and ROI Constraints via Weak Adaptivity
  87. Causal Lifting and Link Prediction
  88. Imitating careful experts to avoid catastrophic events
  89. On the Efficacy of Differentially Private Few-shot Image Classification
  90. Best Possible Q-Learning
  91. The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing
  92. Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition
  93. Multi-Tour Set Traveling Salesman Problem in Planning Power Transmission Line Inspection
  94. Convolutional Neural Operators for robust and accurate learning of PDEs
  95. Unsupervised Learning of Sampling Distributions for Particle Filters
  96. STEP: Learning N:M Structured Sparsity Masks from Scratch with Precondition
  97. Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt
  98. Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics
  99. Vehicle Fault-Tolerant Robust Power Transmission Line Inspection Planning
  100. Get3DHuman: Lifting StyleGAN-Human into a 3D Generative Model using Pixel-aligned Reconstruction Priors
All 226
  1. Vectorized Scenario Description and Motion Prediction for Scenario-Based Testing
  2. Deep COVID-19 Forecasting for Multiple States with Data Augmentation
  3. A comparative study of statistical and machine learning models on near-real-time daily emissions prediction
  4. Tab2KG: Semantic Table Interpretation with Lightweight Semantic Profiles
  5. Combining Deep Neural Reranking and Unsupervised Extraction for Multi-Query Focused Summarization
  6. UW-CVGAN: UnderWater Image Enhancement with Capsules Vectors Quantization
  7. SceneScape: Text-Driven Consistent Scene Generation
  8. De Novo Molecular Generation via Connection-aware Motif Mining
  9. Mnemosyne: Learning to Train Transformers with Transformers
  10. Metaverse: Requirements, Architecture, Standards, Status, Challenges, and Perspectives
  11. DirectMHP: Direct 2D Multi-Person Head Pose Estimation with Full-range Angles
  12. GraphReg: Dynamical Point Cloud Registration with Geometry-aware Graph Signal Processing
  13. A Survey on Efficient Training of Transformers
  14. LesionAid: Vision Transformers-based Skin Lesion Generation and Classification
  15. A general Markov decision process formalism for action-state entropy-regularized reward maximization
  16. New Linear-time Algorithm for SubTree Kernel Computation based on Root-Weighted Tree Automata
  17. NFRsTDO v1.2's Terms, Properties, and Relationships -- A Top-Domain Non-Functional Requirements Ontology
  18. Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation
  19. Curriculum Learning for ab initio Deep Learned Refractive Optics
  20. Sketched Ridgeless Linear Regression: The Role of Downsampling
  21. Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations
  22. MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows
  23. FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations
  24. A Survey on Compositional Generalization in Applications
  25. MLOps with enhanced performance control and observability
  26. Physics Constrained Motion Prediction with Uncertainty Quantification
  27. IKOL: Inverse kinematics optimization layer for 3D human pose and shape estimation via Gauss-Newton differentiation
  28. Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense
  29. Site-specific Deep Learning Path Loss Models based on the Method of Moments
  30. Randomized prior wavelet neural operator for uncertainty quantification
  31. Teaching MLOps in Higher Education through Project-Based Learning
  32. Real-Time Evaluation in Online Continual Learning: A New Hope
  33. TAPS Responsibility Matrix: A tool for responsible data science by design
  34. An Efficient Convex Hull-based Vehicle Pose Estimation Method for 3D LiDAR
  35. On Suppressing Range of Adaptive Stepsizes of Adam to Improve Generalisation Performance
  36. FCB-SwinV2 Transformer for Polyp Segmentation
  37. Semantic Coherence Markers for the Early Diagnosis of the Alzheimer Disease
  38. Meta Learning in Decentralized Neural Networks: Towards More General AI
  39. Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities
  40. Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasets
  41. Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning
  42. High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance
  43. Constrained Online Two-stage Stochastic Optimization: Near Optimal Algorithms via Adversarial Learning
  44. Open-Set Multi-Source Multi-Target Domain Adaptation
  45. Unpaired Multi-Domain Causal Representation Learning
  46. Exposing the CSI: A Systematic Investigation of CSI-based Wi-Fi Sensing Capabilities and Limitations
  47. Physics Informed Piecewise Linear Neural Networks for Process Optimization
  48. HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning
  49. Eloss in the way: A Sensitive Input Quality Metrics for Intelligent Driving
  50. Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary
  51. Stochastic optimal transport in Banach Spaces for regularized estimation of multivariate quantiles
  52. Predicting Molecule-Target Interaction by Learning Biomedical Network and Molecule Representations
  53. Domain Generalization Emerges from Dreaming
  54. A Light-weight CNN Model for Efficient Parkinson's Disease Diagnostics
  55. Energy Efficiency of Training Neural Network Architectures: An Empirical Study
  56. FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting
  57. Resilient Binary Neural Network
  58. Curriculum-guided Abstractive Summarization for Mental Health Online Posts
  59. Deep-Learning Tool for Early Identifying Non-Traumatic Intracranial Hemorrhage Etiology based on CT Scan
  60. QR-CLIP: Introducing Explicit Open-World Knowledge for Location and Time Reasoning
  61. TransFool: An Adversarial Attack against Neural Machine Translation Models
  62. Efficient Graph Field Integrators Meet Point Clouds
  63. A Robust Multi-Item Auction Design with Statistical Learning
  64. An optimization method for out-of-distribution anomaly detection models
  65. An Enhanced V-cycle MgNet Model for Operator Learning in Numerical Partial Differential Equations
  66. The Fewer Splits are Better: Deconstructing Readability in Sentence Splitting
  67. High-dimensional variable clustering based on maxima of a weakly dependent random process
  68. Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start"
  69. Adaptive Siamese Tracking with a Compact Latent Network
  70. Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster L-/L^natural-Convex Function Minimization
  71. LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence
  72. Visual Realism Assessment for Face-swap Videos
  73. Cooperative Saliency-based Obstacle Detection and AR Rendering for Increased Situational Awareness
  74. Advances and Challenges in Multimodal Remote Sensing Image Registration
  75. Conditional expectation with regularization for missing data imputation
  76. Energy Efficient Training of SNN using Local Zeroth Order Method
  77. GANalyzer: Analysis and Manipulation of GANs Latent Space for Controllable Face Synthesis
  78. History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System
  79. No One Left Behind: Real-World Federated Class-Incremental Learning
  80. Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment
  81. Longformer: Longitudinal Transformer for Alzheimer's Disease Classification with Structural MRIs
  82. KST-Mixer: Kinematic Spatio-Temporal Data Mixer For Colon Shape Estimation
  83. How to choose "Good" Samples for Text Data Augmentation
  84. MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning
  85. Quantum Graph Learning: Frontiers and Outlook
  86. Neural Common Neighbor with Completion for Link Prediction
  87. AOP-Net: All-in-One Perception Network for Joint LiDAR-based 3D Object Detection and Panoptic Segmentation
  88. Exploring Invariant Representation for Visible-Infrared Person Re-Identification
  89. Synthesizing Physical Character-Scene Interactions
  90. Empirical Analysis of the AdaBoost's Error Bound
  91. The Contextual Lasso: Sparse Linear Models via Deep Neural Networks
  92. Vision Transformer-based Feature Extraction for Generalized Zero-Shot Learning
  93. Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network
  94. Reliable Prediction Intervals with Directly Optimized Inductive Conformal Regression for Deep Learning
  95. Using In-Context Learning to Improve Dialogue Safety
  96. Disentanglement of Latent Representations via Causal Interventions
  97. Speech Enhancement for Virtual Meetings on Cellular Networks
  98. CLIPood: Generalizing CLIP to Out-of-Distributions
  99. SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
  100. Online Continual Learning via the Knowledge Invariant and Spread-out Properties
  101. Algorithm Design for Online Meta-Learning with Task Boundary Detection
  102. idT5: Indonesian Version of Multilingual T5 Transformer
  103. Molecular Geometry-aware Transformer for accurate 3D Atomic System modeling
  104. Learning PDE Solution Operator for Continuous Modeling of Time-Series
  105. Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent
  106. Causal Effect Estimation: Recent Advances, Challenges, and Opportunities
  107. Coordinating Distributed Example Orders for Provably Accelerated Training
  108. Computational Dualism and Objective Superintelligence
  109. Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control
  110. SHINE: Deep Learning-Based Accessible Parking Management System
  111. Improving Rare Words Recognition through Homophone Extension and Unified Writing for Low-resource Cantonese Speech Recognition
  112. Sharp Lower Bounds on Interpolation by Deep ReLU Neural Networks at Irregularly Spaced Data
  113. RobustNeRF: Ignoring Distractors with Robust Losses
  114. Inform the uninformed: Improving Online Informed Consent Reading with an AI-Powered Chatbot
  115. Analysis of Biomass Sustainability Indicators from a Machine Learning Perspective
  116. SpaceYOLO: A Human-Inspired Model for Real-time, On-board Spacecraft Feature Detection
  117. Recurrent Graph Convolutional Networks for Spatiotemporal Prediction of Snow Accumulation Using Airborne Radar
  118. Dynamic Atomic Column Detection in Transmission Electron Microscopy Videos via Ridge Estimation
  119. Stochastic Contextual Bandits with Long Horizon Rewards
  120. Goal Alignment: A Human-Aware Account of Value Alignment Problem
  121. ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints
  122. Deep neural operators can serve as accurate surrogates for shape optimization: A case study for airfoils
  123. Oracle-Preserving Latent Flows
  124. Conditioning Predictive Models: Risks and Strategies
  125. High-precision regressors for particle physics
  126. NDJIR: Neural Direct and Joint Inverse Rendering for Geometry, Lights, and Materials of Real Object