mlsanityData to 7 Oct 2026

Papers

New on arXiv

Wed 8 Jun 2022

165 papers

  1. Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problemDiffusion models → Flow matching, time series and science
  2. Deep Hierarchical Planning from PixelsWorld models → Latent predictive world models
  3. Words are all you need? Language as an approximation for human similarity judgmentsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  4. Sparse Mixture-of-Experts are Domain Generalizable LearnersMixture-of-experts → Vision mixture-of-experts
  5. Accelerating Score-based Generative Models for High-Resolution Image SynthesisDiffusion models → Diffusion foundations and sampling
  6. Constrained Imitation Learning for a Flapping Wing Unmanned Aerial VehicleOffline RL and imitation learning from data → Imitation learning methods
  7. Modularized Transfer Learning with Multiple Knowledge Graphs for Zero-shot Commonsense ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  8. Autoregressive Perturbations for Data PoisoningLLM safety and security → Backdoor and data poisoning attacks
  9. Do We Need Another Explainable AI Method? Toward Unifying Post-hoc XAI Evaluation Methods into an Interactive and Multi-dimensional Benchmark
  10. Generative Adversarial Networks and Image-Based Malware Classification
  11. Driving Digital Engineering Integration and Interoperability Through Semantic Integration of Models with Ontologies
  12. Smart Meter Data Anomaly Detection using Variational Recurrent Autoencoders with Attention
  13. Binary Single-dimensional Convolutional Neural Network for Seizure Prediction
  14. Memory-Oriented Design-Space Exploration of Edge-AI Hardware for XR Applications
  15. Benchmarking Bayesian neural networks and evaluation metrics for regression tasks
  16. Explanation as Question Answering based on a Task Model of the Agent's Design
  17. Syntactic Inductive Biases for Deep Learning Methods
  18. Motif Mining and Unsupervised Representation Learning for BirdCLEF 2022
  19. Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression
  20. RT-DNAS: Real-time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation
  21. Gaussian Fourier Pyramid for Local Laplacian Filter
  22. POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples
  23. ReCo: A Dataset for Residential Community Layout Planning
  24. On the Permanence of Backdoors in Evolving Models
  25. SCAMPS: Synthetics for Camera Measurement of Physiological Signals
  26. ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion
  27. CCP: Correlated Clustering and Projection for Dimensionality Reduction
  28. Few-shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems
  29. Reinforced Inverse Scattering
  30. Abstraction not Memory: BERT and the English Article System
  31. Learning in Distributed Contextual Linear Bandits Without Sharing the Context
  32. VN-Transformer: Rotation-Equivariant Attention for Vector Neurons
  33. Beyond the Edge of Stability via Two-step Gradient Updates
  34. CASS: Cross Architectural Self-Supervision for Medical Image Analysis
  35. Planning with Dynamically Estimated Action Costs
  36. Improved two-stage hate speech classification for twitter based on Deep Neural Networks
  37. Alternating Mirror Descent for Constrained Min-Max Games
  38. Texture Extraction Methods Based Ensembling Framework for Improved Classification
  39. Unsupervised Key Event Detection from Massive Text Corpora
  40. A Survey of Graph-based Deep Learning for Anomaly Detection in Distributed Systems
  41. Deep Estimation of Speckle Statistics Parametric Images
  42. TreeFlow: Going beyond Tree-based Gaussian Probabilistic Regression
  43. Adversarial Text Normalization
  44. Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions
  45. Towards Self-supervised and Weight-preserving Neural Architecture Search
  46. DRHDR: A Dual branch Residual Network for Multi-Bracket High Dynamic Range Imaging
  47. ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret
  48. Simplifying Polylogarithms with Machine Learning
  49. Push--Pull with Device Sampling
  50. Likelihood-free Model Choice for Simulator-based Models with the Jensen--Shannon Divergence
  51. What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective
  52. Uplifting Bandits
  53. Hidden Markov Models with Momentum
  54. An Improved Deep Convolutional Neural Network by Using Hybrid Optimization Algorithms to Detect and Classify Brain Tumor Using Augmented MRI Images
  55. Gradient Obfuscation Gives a False Sense of Security in Federated Learning
  56. Unsupervised Knowledge Adaptation for Passenger Demand Forecasting
  57. Balanced background and explanation data are needed in explaining deep learning models with SHAP: An empirical study on clinical decision making
  58. STable: Table Generation Framework for Encoder-Decoder Models
  59. Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games
  60. Learning Ego 3D Representation as Ray Tracing
  61. Neural Collapse: A Review on Modelling Principles and Generalization
  62. MobileOne: An Improved One millisecond Mobile Backbone
  63. Resolving the Human Subjects Status of Machine Learning's Crowdworkers
  64. Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting
  65. High-dimensional limit theorems for SGD: Effective dynamics and critical scaling
  66. CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving
  67. SYNERgy between SYNaptic consolidation and Experience Replay for general continual learning
  68. Robust Semantic Communications with Masked VQ-VAE Enabled Codebook
  69. Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization
  70. Few-Shot Audio-Visual Learning of Environment Acoustics
  71. Patch-based Object-centric Transformers for Efficient Video Generation
  72. Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
  73. Neural Diffusion Processes
  74. How unfair is private learning ?
  75. Diffusion Curvature for Estimating Local Curvature in High Dimensional Data
  76. Classification of Stochastic Processes with Topological Data Analysis
  77. Narrowing the Coordinate-frame Gap in Behavior Prediction Models: Distillation for Efficient and Accurate Scene-centric Motion Forecasting
  78. FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization
  79. Combining Monte-Carlo Tree Search with Proof-Number Search
  80. Predict better with less training data using a QNN
  81. Out-of-Distribution Detection with Class Ratio Estimation
  82. Mathematical model bridges disparate timescales of lifelong learning
  83. Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models
  84. Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-implementation Guidelines
  85. Robust Environment Perception for Automated Driving: A Unified Learning Pipeline for Visual-Infrared Object Detection
  86. Depth-Adapted CNNs for RGB-D Semantic Segmentation
  87. Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays
  88. A Study of Continual Learning Methods for Q-Learning
  89. Learning to Generate Prompts for Dialogue Generation through Reinforcement Learning
  90. Direct Triangulation with Spherical Projection for Omnidirectional Cameras
  91. Boundary between noise and information applied to filtering neural network weight matrices
  92. Sequential Density Estimation via Nonlinear Continuous Weighted Finite Automata
  93. A unified stochastic approximation framework for learning in games
  94. A Unified Convergence Theorem for Stochastic Optimization Methods
  95. To remove or not remove Mobile Apps? A data-driven predictive model approach
  96. Unsupervised Deformable Image Registration with Absent Correspondences in Pre-operative and Post-Recurrence Brain Tumor MRI Scans
  97. PrivHAR: Recognizing Human Actions From Privacy-preserving Lens
  98. ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical Image Segmentation
  99. Counseling Summarization using Mental Health Knowledge Guided Utterance Filtering
  100. Efficient Resource Allocation with Fairness Constraints in Restless Multi-Armed Bandits
All 165
  1. Progressive GANomaly: Anomaly detection with progressively growing GANs
  2. The Open corpus of the Veps and Karelian languages: overview and applications
  3. "GAN I hire you?" -- A System for Personalized Virtual Job Interview Training
  4. Perceptual Quality Assessment for Fine-Grained Compressed Images
  5. Orthonormal Convolutions for the Rotation Based Iterative Gaussianization
  6. Sim2real for Reinforcement Learning Driven Next Generation Networks
  7. Scalable Joint Learning of Wireless Multiple-Access Policies and their Signaling
  8. Boosting the Confidence of Generalization for L2-Stable Randomized Learning Algorithms
  9. Generative Myocardial Motion Tracking via Latent Space Exploration with Biomechanics-informed Prior
  10. Fast Kernel Methods for Generic Lipschitz Losses via p-Sparsified Sketches
  11. Towards Understanding Why Mask-Reconstruction Pretraining Helps in Downstream Tasks
  12. Estimation of Predictive Performance in High-Dimensional Data Settings using Learning Curves
  13. Multi-channel neural networks for predicting influenza A virus hosts and antigenic types
  14. SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity assessment from limited DWI data using supervised learning coupled with data-consistency
  15. Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window
  16. Dyna-DM: Dynamic Object-aware Self-supervised Monocular Depth Maps
  17. Utilising the CLT Structure in Stochastic Gradient based Sampling : Improved Analysis and Faster Algorithms
  18. Language-Bridged Spatial-Temporal Interaction for Referring Video Object Segmentation
  19. Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance
  20. Realistic Zero-Shot Cross-Lingual Transfer in Legal Topic Classification
  21. Learning Digital Terrain Models from Point Clouds: ALS2DTM Dataset and Rasterization-based GAN
  22. PixSelect: Less but Reliable Pixels for Accurate and Efficient Localization
  23. Task Agnostic Restoration of Natural Video Dynamics
  24. Machine learning-based patient selection in an emergency department
  25. Using Mixed-Effects Models to Learn Bayesian Networks from Related Data Sets
  26. Large Loss Matters in Weakly Supervised Multi-Label Classification
  27. Disentangled Ontology Embedding for Zero-shot Learning
  28. Motiflets -- Simple and Accurate Detection of Motifs in Time Series
  29. On gradient descent training under data augmentation with on-line noisy copies
  30. Wavelet Regularization Benefits Adversarial Training
  31. Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models
  32. Stabilizing Voltage in Power Distribution Networks via Multi-Agent Reinforcement Learning with Transformer
  33. Set Interdependence Transformer: Set-to-Sequence Neural Networks for Permutation Learning and Structure Prediction
  34. Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach
  35. LADDER: Latent Boundary-guided Adversarial Training
  36. Performance, Transparency and Time. Feature selection to speed up the diagnosis of Parkinson's disease
  37. Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging
  38. Sampling-based techniques for designing school boundaries
  39. 1Cademy at Semeval-2022 Task 1: Investigating the Effectiveness of Multilingual, Multitask, and Language-Agnostic Tricks for the Reverse Dictionary Task
  40. Predictions of Electromotive Force of Magnetic Shape Memory Alloy (MSMA) Using Constitutive Model and Generalized Regression Neural Network
  41. What do we learn? Debunking the Myth of Unsupervised Outlier Detection
  42. Blind Face Restoration: Benchmark Datasets and a Baseline Model
  43. Metric Based Few-Shot Graph Classification
  44. Robust Deep Ensemble Method for Real-world Image Denoising
  45. Identifying good directions to escape the NTK regime and efficiently learn low-degree plus sparse polynomials
  46. A Unified Model for Multi-class Anomaly Detection
  47. Progress Report: A Deep Learning Guided Exploration of Affine Unimodular Loop Transformations
  48. Improving Evaluation of Debiasing in Image Classification
  49. Ultra-High-Definition Image Deblurring via Multi-scale Cubic-Mixer
  50. Integrating Symmetry into Differentiable Planning with Steerable Convolutions
  51. Unsupervised Learning of 3D Scene Flow from Monocular Camera
  52. COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics
  53. Toward Certified Robustness Against Real-World Distribution Shifts
  54. Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking
  55. Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression
  56. One Hyper-Initializer for All Network Architectures in Medical Image Analysis
  57. Scalable Online Disease Diagnosis via Multi-Model-Fused Actor-Critic Reinforcement Learning
  58. Delving into the Pre-training Paradigm of Monocular 3D Object Detection
  59. Fair Classification via Domain Adaptation: A Dual Adversarial Learning Approach
  60. pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning
  61. Solving the Spike Feature Information Vanishing Problem in Spiking Deep Q Network with Potential Based Normalization
  62. Neural Bandit with Arm Group Graph
  63. Alternately Optimized Graph Neural Networks
  64. Network Report: A Structured Description for Network Datasets
  65. Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping