mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 2 Oct 2022

92 papers

  1. Does Wikidata Support Analogical Reasoning?LLM reasoning → Reasoning benchmarks and evaluation
  2. Generated Faces in the Wild: Quantitative Comparison of Stable Diffusion, Midjourney and DALL-E 2Diffusion models → Diffusion foundations and sampling
  3. OCD: Learning to Overfit with Conditional Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  4. Reliability-Aware Deployment of DNNs on In-Memory Analog Computing Architectures
  5. Contrastive Audio-Visual Masked Autoencoder
  6. "Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction
  7. Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation
  8. Supervised Parameter Estimation of Neuron Populations from Multiple Firing Events
  9. Tensor-reduced atomic density representations
  10. GANTouch: An Attack-Resilient Framework for Touch-based Continuous Authentication System
  11. Cross-identity Video Motion Retargeting with Joint Transformation and Synthesis
  12. GaIA: Graphical Information Gain based Attention Network for Weakly Supervised Point Cloud Semantic Segmentation
  13. Neural Implicit Surface Reconstruction from Noisy Camera Observations
  14. Quark: A Gradient-Free Quantum Learning Framework for Classification Tasks
  15. Towards Learned Simulators for Cell Migration
  16. IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View Synthesis
  17. Pixel-global Self-supervised Learning with Uncertainty-aware Context Stabilizer
  18. Spectral Augmentation for Self-Supervised Learning on Graphs
  19. DARTFormer: Finding The Best Type Of Attention
  20. Wide Attention Is The Way Forward For Transformers?
  21. What shapes the loss landscape of self-supervised learning?
  22. Benign Autoencoders
  23. Robust Empirical Risk Minimization with Tolerance
  24. MonoNHR: Monocular Neural Human Renderer
  25. Inability of a graph neural network heuristic to outperform greedy algorithms in solving combinatorial optimization problems like Max-Cut
  26. Optimization for Robustness Evaluation beyond ℓp Metrics
  27. iCTGAN--An Attack Mitigation Technique for Random-vector Attack on Accelerometer-based Gait Authentication Systems
  28. The boundaries of meaning: a case study in neural machine translation
  29. MultiScale MeshGraphNets
  30. SAGDA: Achieving O(ε-2) Communication Complexity in Federated Min-Max Learning
  31. Belief propagation generalizes backpropagation
  32. Establishing Meta-Decision-Making for AI: An Ontology of Relevance, Representation and Reasoning
  33. Ensembling improves stability and power of feature selection for deep learning models
  34. Composition of Differential Privacy & Privacy Amplification by Subsampling
  35. Policy Gradients for Probabilistic Constrained Reinforcement Learning
  36. Community Learning: Understanding A Community Through NLP for Positive Impact
  37. Uncertainty estimations methods for a deep learning model to aid in clinical decision-making -- a clinician's perspective
  38. DFA: Dynamic Feature Aggregation for Efficient Video Object Detection
  39. FLCert: Provably Secure Federated Learning against Poisoning Attacks
  40. The Dynamic of Consensus in Deep Networks and the Identification of Noisy Labels
  41. GFlowNets and variational inference
  42. Large-scale machine-learning-assisted exploration of the whole materials space
  43. Deep Invertible Approximation of Topologically Rich Maps between Manifolds
  44. Risk-graded Safety for Handling Medical Queries in Conversational AI
  45. AI-Assisted Discovery of Quantitative and Formal Models in Social Science
  46. RISC-V Toolchain and Agile Development based Open-source Neuromorphic Processor
  47. Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis
  48. ALT: A software for readability analysis of Portuguese-language texts
  49. Occlusion-Aware Crowd Navigation Using People as Sensors
  50. Siamese-NAS: Using Trained Samples Efficiently to Find Lightweight Neural Architecture by Prior Knowledge
  51. Seeing Through the Noisy Dark: Towards Real-world Low-Light Image Enhancement and Denoising
  52. Fine-grained Contrastive Learning for Definition Generation
  53. Semi-autonomous Prosthesis Control Using Minimal Depth Information and Vibrotactile Feedback
  54. Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation
  55. Comparison of Data Representations and Machine Learning Architectures for User Identification on Arbitrary Motion Sequences
  56. Leveraging unsupervised data and domain adaptation for deep regression in low-cost sensor calibration
  57. Exploiting More Information in Sparse Point Cloud for 3D Single Object Tracking
  58. High Precision Differentiation Techniques for Data-Driven Solution of Nonlinear PDEs by Physics-Informed Neural Networks
  59. Deep-OCTA: Ensemble Deep Learning Approaches for Diabetic Retinopathy Analysis on OCTA Images
  60. Gradient Gating for Deep Multi-Rate Learning on Graphs
  61. Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series Classifiers
  62. Loc-VAE: Learning Structurally Localized Representation from 3D Brain MR Images for Content-Based Image Retrieval
  63. DARE: A large-scale handwritten date recognition system
  64. Cognitive modelling with multilayer networks: Insights, advancements and future challenges
  65. EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model
  66. Approximate Computing and the Efficient Machine Learning Expedition
  67. Unsupervised Multi-View Object Segmentation Using Radiance Field Propagation
  68. Learning Algorithm Generalization Error Bounds via Auxiliary Distributions
  69. Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language
  70. Fast OT for Latent Domain Adaptation
  71. Robust Bayesian optimization with reinforcement learned acquisition functions
  72. Assessing the impact of contextual information in hate speech detection
  73. Improved Stein Variational Gradient Descent with Importance Weights
  74. Neural Graphical Models
  75. Citation Trajectory Prediction via Publication Influence Representation Using Temporal Knowledge Graph
  76. A Smart Recycling Bin Using Waste Image Classification At The Edge
  77. ManiCLIP: Multi-Attribute Face Manipulation from Text
  78. ReAct: A Review Comment Dataset for Actionability (and more)
  79. Grouped self-attention mechanism for a memory-efficient Transformer
  80. A Unified Framework for Optimization-Based Graph Coarsening
  81. Music-to-Text Synaesthesia: Generating Descriptive Text from Music Recordings
  82. Understanding Adversarial Robustness Against On-manifold Adversarial Examples
  83. ROSIA: Rotation-Search-Based Star Identification Algorithm
  84. Improved Algorithms for Neural Active Learning
  85. Stochastic optimization on matrices and a graphon McKean-Vlasov limit
  86. Subspace Learning for Feature Selection via Rank Revealing QR Factorization: Unsupervised and Hybrid Approaches with Non-negative Matrix Factorization and Evolutionary Algorithm
  87. Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies
  88. Unsupervised Visual Odometry and Action Integration for PointGoal Navigation in Indoor Environment
  89. Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem
  90. PCONet: A Convolutional Neural Network Architecture to Detect Polycystic Ovary Syndrome (PCOS) from Ovarian Ultrasound Images
  91. Basic Binary Convolution Unit for Binarized Image Restoration Network
  92. Systematic Generalization and Emergent Structures in Transformers Trained on Structured Tasks