mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 15 May 2022

82 papers

  1. Aligning Robot Representations with HumansLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  2. Inverse design of nano-photonic wavelength demultiplexer with a deep neural network approach
  3. Learning Shared Kernel Models: the Shared Kernel EM algorithm
  4. Learning Car Speed Using Inertial Sensors for Dead Reckoning Navigation
  5. Developing patient-driven artificial intelligence based on personal rankings of care decision making steps
  6. A Note on the Chernoff Bound for Random Variables in the Unit Interval
  7. SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration
  8. Sibyl: Adaptive and Extensible Data Placement in Hybrid Storage Systems Using Online Reinforcement Learning
  9. Learning Representations for New Sound Classes With Continual Self-Supervised Learning
  10. Downstream Transformer Generation of Question-Answer Pairs with Preprocessing and Postprocessing Pipelines
  11. Incorporating Prior Knowledge into Neural Networks through an Implicit Composite Kernel
  12. SeqZero: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models
  13. The Splendors and Miseries of Heavisidisation
  14. Effect of Batch Normalization on Noise Resistant Property of Deep Learning Models
  15. Understanding Emergent Behaviours in Multi-Agent Systems with Evolutionary Game Theory
  16. High-Resolution CMB Lensing Reconstruction with Deep Learning
  17. What is an equivariant neural network?
  18. Long-term Control for Dialogue Generation: Methods and Evaluation
  19. Novel Multicolumn Kernel Extreme Learning Machine for Food Detection via Optimal Features from CNN
  20. Policy Gradient Method For Robust Reinforcement Learning
  21. Reductive MDPs: A Perspective Beyond Temporal Horizons
  22. Automating Defeasible Reasoning in Law
  23. Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis
  24. Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent
  25. Transkimmer: Transformer Learns to Layer-wise Skim
  26. Analyzing Lottery Ticket Hypothesis from PAC-Bayesian Theory Perspective
  27. cMelGAN: An Efficient Conditional Generative Model Based on Mel Spectrograms
  28. Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks
  29. Generalization Bounds on Multi-Kernel Learning with Mixed Datasets
  30. COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks
  31. Uncertainty estimation for Cross-dataset performance in Trajectory prediction
  32. 3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design
  33. Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  34. Optimization of Decision Tree Evaluation Using SIMD Instructions
  35. TiBERT: Tibetan Pre-trained Language Model
  36. Conditional Vector Graphics Generation for Music Cover Images
  37. Regulating Facial Processing Technologies: Tensions Between Legal and Technical Considerations in the Application of Illinois BIPA
  38. Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising
  39. A Computational Framework of Cortical Microcircuits Approximates Sign-concordant Random Backpropagation
  40. Meta Self-Refinement for Robust Learning with Weak Supervision
  41. Domain Adaptation in Multilingual and Multi-Domain Monolingual Settings for Complex Word Identification
  42. Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection
  43. Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations
  44. Classifiers are Better Experts for Controllable Text Generation
  45. Variable Functioning and Its Application to Large Scale Steel Frame Design Optimization
  46. Supervised Learning and Model Analysis with Compositional Data
  47. Textual Explanations and Critiques in Recommendation Systems
  48. Discovering the Representation Bottleneck of Graph Neural Networks
  49. Guidelines for the Regularization of Gammas in Batch Normalization for Deep Residual Networks
  50. Topic Modelling on Consumer Financial Protection Bureau Data: An Approach Using BERT Based Embeddings
  51. Not to Overfit or Underfit the Source Domains? An Empirical Study of Domain Generalization in Question Answering
  52. Evaluating Independence and Conditional Independence Measures
  53. A cGAN Ensemble-based Uncertainty-aware Surrogate Model for Offline Model-based Optimization in Industrial Control Problems
  54. Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
  55. FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
  56. Discovering Latent Concepts Learned in BERT
  57. Combating COVID-19 using Generative Adversarial Networks and Artificial Intelligence for Medical Images: A Scoping Review
  58. Clinical outcome prediction under hypothetical interventions -- a representation learning framework for counterfactual reasoning
  59. Mitigating Toxic Degeneration with Empathetic Data: Exploring the Relationship Between Toxicity and Empathy
  60. Video Frame Interpolation with Transformer
  61. RoMFAC: A robust mean-field actor-critic reinforcement learning against adversarial perturbations on states
  62. Sample-Efficient Learning of Correlated Equilibria in Extensive-Form Games
  63. Adaptive Prompt Learning-based Few-Shot Sentiment Analysis
  64. Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback
  65. FedHAP: Fast Federated Learning for LEO Constellations Using Collaborative HAPs
  66. GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-Speech
  67. Towards a Comprehensive Solution for a Vision-based Digitized Neurological Examination
  68. Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization
  69. Fused Deep Neural Network based Transfer Learning in Occluded Face Classification and Person re-Identification
  70. Real-centric Consistency Learning for Deepfake Detection
  71. A comparison of PINN approaches for drift-diffusion equations on metric graphs
  72. Nonconvex L_ 1/2 -Regularized Nonlocal Self-similarity Denoiser for Compressive Sensing based CT Reconstruction
  73. Fair Bayes-Optimal Classifiers Under Predictive Parity
  74. Learning Lip-Based Audio-Visual Speaker Embeddings with AV-HuBERT
  75. Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection
  76. Hero-Gang Neural Model For Named Entity Recognition
  77. Sparsity-Aware Robust Normalized Subband Adaptive Filtering algorithms based on Alternating Optimization
  78. Proxyless Neural Architecture Adaptation for Supervised Learning and Self-Supervised Learning
  79. From Cognitive to Computational Modeling: Text-based Risky Decision-Making Guided by Fuzzy Trace Theory
  80. GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting
  81. Evaluating Uncertainty Calibration for Open-Set Recognition
  82. Evaluating Generalizability of Fine-Tuned Models for Fake News Detection