mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 4 Nov 2023

83 papers

  1. MAAIP: Multi-Agent Adversarial Interaction Priors for imitation from fighting demonstrations for physics-based charactersOffline RL and imitation learning from data → Imitation learning methods
  2. LocoMuJoCo: A Comprehensive Imitation Learning Benchmark for LocomotionOffline RL and imitation learning from data → Real-world robot offline RL
  3. From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  4. Domain Transfer in Latent Space (DTLS) Wins on Image Super-Resolution -- a Non-Denoising ModelDiffusion models → Inverse problems and image restoration
  5. Stable Diffusion Reference Only: Image Prompt and Blueprint Jointly Guided Multi-Condition Diffusion Model for Secondary PaintingDiffusion models → Image generation, text-to-image and editing
  6. Adapting Segment Anything Model (SAM) through Prompt-based Learning for Enhanced Protein Identification in Cryo-EM Micrographs
  7. Differentiating patients with obstructive sleep apnea from healthy controls based on heart rate - blood pressure coupling quantified by entropy-based indices
  8. Quantum Neural Networks for Power Flow Analysis
  9. Mobile Internet Quality Estimation using Self-Tuning Kernel Regression
  10. A Practical Large-Scale Roadside Multi-View Multi-Sensor Spatial Synchronization Framework for Intelligent Transportation Systems
  11. FPGA-QHAR: Throughput-Optimized for Quantized Human Action Recognition on The Edge
  12. Learning Disentangled Speech Representations
  13. QECO: A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing
  14. UniTSFace: Unified Threshold Integrated Sample-to-Sample Loss for Face Recognition
  15. Forward chi2 Divergence Based Variational Importance Sampling
  16. Anthropomorphic Grasping with Neural Object Shape Completion
  17. Can Chat GPT solve a Linguistics Exam?
  18. Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural Networks
  19. Forecasting Post-Wildfire Vegetation Recovery in California using a Convolutional Long Short-Term Memory Tensor Regression Network
  20. Improved Convergence Factor of Windowed Anderson Acceleration for Symmetric Fixed-Point Iterations
  21. Neural Network Reconstruction of the Left Atrium using Sparse Catheter Paths
  22. Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities
  23. Generalized zero-shot audio-to-intent classification
  24. A Strictly Bounded Deep Network for Unpaired Cyclic Translation of Medical Images
  25. Constrained Equation Learner Networks for Precision-Preserving Extrapolation of Robotic Skills
  26. Individualized Policy Evaluation and Learning under Clustered Network Interference
  27. Multi-State Brain Network Discovery
  28. Levels of AGI for Operationalizing Progress on the Path to AGI
  29. SPHEAR: Spherical Head Registration for Complete Statistical 3D Modeling
  30. Extracting Network Structures from Corporate Organization Charts Using Heuristic Image Processing
  31. Mixed Models with Multiple Instance Learning
  32. Can ChatGPT support software verification?
  33. P-Age: Pexels Dataset for Robust Spatio-Temporal Apparent Age Classification
  34. Task Arithmetic with LoRA for Continual Learning
  35. Online Non-convex Optimization with Long-term Non-convex Constraints
  36. Payoff-based learning with matrix multiplicative weights in quantum games
  37. P2O-Calib: Camera-LiDAR Calibration Using Point-Pair Spatial Occlusion Relationship
  38. Citance-Contextualized Summarization of Scientific Papers
  39. The equivalence of dynamic and strategic stability under regularized learning in games
  40. Hybrid quantum image classification and federated learning for hepatic steatosis diagnosis
  41. BarcodeBERT: Transformers for Biodiversity Analysis
  42. Entropy Aware Training for Fast and Accurate Distributed GNN
  43. CDR-Adapter: Learning Adapters to Dig Out More Transferring Ability for Cross-Domain Recommendation Models
  44. NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications
  45. Continual Learning of Unsupervised Monocular Depth from Videos
  46. Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification
  47. AI-based Self-healing Solutions Applied to Cellular Networks: An Overview
  48. Ultra-Long Sequence Distributed Transformer
  49. Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models
  50. MTS-DVGAN: Anomaly Detection in Cyber-Physical Systems using a Dual Variational Generative Adversarial Network
  51. Riemannian stochastic optimization methods avoid strict saddle points
  52. TACNET: Temporal Audio Source Counting Network
  53. Contrastive Deep Nonnegative Matrix Factorization for Community Detection
  54. MATA*: Combining Learnable Node Matching with A* Algorithm for Approximate Graph Edit Distance Computation
  55. TreeSwap: Data Augmentation for Machine Translation via Dependency Subtree Swapping
  56. Sample Complexity of Linear Regression Models for Opinion Formation in Networks
  57. Perturbation-based Active Learning for Question Answering
  58. You Only Forward Once: Prediction and Rationalization in A Single Forward Pass
  59. Proposal-Level Unsupervised Domain Adaptation for Open World Unbiased Detector
  60. Enhancing English Writing Proficiency in China's Polytechnic Students An In-Depth Literature Review on the Application of the Input Hypothesis
  61. MC-Stereo: Multi-peak Lookup and Cascade Search Range for Stereo Matching
  62. Potato Leaf Disease Classification using Deep Learning: A Convolutional Neural Network Approach
  63. STOW: Discrete-Frame Segmentation and Tracking of Unseen Objects for Warehouse Picking Robots
  64. Understanding the Natural Language of DNA using Encoder-Decoder Foundation Models with Byte-level Precision
  65. Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects
  66. Complex Organ Mask Guided Radiology Report Generation
  67. An Operator Learning Framework for Spatiotemporal Super-resolution of Scientific Simulations
  68. FragXsiteDTI: Revealing Responsible Segments in Drug-Target Interaction with Transformer-Driven Interpretation
  69. Identifying Context-Dependent Translations for Evaluation Set Production
  70. Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells
  71. Counting Manatee Aggregations using Deep Neural Networks and Anisotropic Gaussian Kernel
  72. Thermal Face Image Classification using Deep Learning Techniques
  73. LISNeRF Mapping: LiDAR-based Implicit Mapping via Semantic Neural Fields for Large-Scale 3D Scenes
  74. Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles
  75. Heteroskedastic Tensor Clustering
  76. OSM vs HD Maps: Map Representations for Trajectory Prediction
  77. MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning
  78. Successive Model-Agnostic Meta-Learning for Few-Shot Fault Time Series Prognosis
  79. LLMs grasp morality in concept
  80. A Survey of the Various Methodologies Towards making Artificial Intelligence More Explainable
  81. Estimating Ground Reaction Forces from Inertial Sensors
  82. Contrastive Multi-Modal Representation Learning for Spark Plug Fault Diagnosis
  83. Machine learning's own Industrial Revolution