mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 27 Dec 2023

120 papers

  1. Risk-anticipatory autonomous driving strategies considering vehicles' weights, based on hierarchical deep reinforcement learningEnd-to-end autonomous driving → Reinforcement learning for driving
  2. Rethinking Tabular Data Understanding with Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
  3. I2V-Adapter: A General Image-to-Video Adapter for Diffusion ModelsDiffusion models → Video generation
  4. Some things are more CRINGE than others: Iterative Preference Optimization with the Pairwise Cringe LossLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  5. Forgery-aware Adaptive Transformer for Generalizable Synthetic Image DetectionDiffusion models → Image generation, text-to-image and editing
  6. Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement LearningEnd-to-end autonomous driving → Reinforcement learning for driving
  7. Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear ModulationMixture-of-experts → Expert routing strategies
  8. Model Selection for Inverse Reinforcement Learning via Structural Risk MinimizationOffline RL and imitation learning from data → Inverse reinforcement learning
  9. The Use of Multiple Conversational Agent Interlocutors in LearningLLM agents and tool use → General LLM agent frameworks and benchmarks
  10. Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned GuidanceDiffusion models → Inverse problems and image restoration
  11. PanGu-Draw: Advancing Resource-Efficient Text-to-Image Synthesis with Time-Decoupled Training and Reusable Coop-DiffusionDiffusion models → Image generation, text-to-image and editing
  12. SVGDreamer: Text Guided SVG Generation with Diffusion ModelDiffusion models → Image generation, text-to-image and editing
  13. Preference as Reward, Maximum Preference Optimization with Importance SamplingLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  14. Bellman Optimal Stepsize Straightening of Flow-Matching ModelsDiffusion models → Flow matching, time series and science
  15. Natural Adversarial Patch Generation Method Based on Latent Diffusion ModelDiffusion models → Robustness, privacy and adversarial aspects
  16. Automating Knowledge Acquisition for Content-Centric Cognitive Agents Using LLMsLLM agents and tool use → General LLM agent frameworks and benchmarks
  17. Active Third-Person Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
  18. Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges
  19. An Integrated Imitation and Reinforcement Learning Methodology for Robust Agile Aircraft Control with Limited Pilot Demonstration Data
  20. Gemini Pro Defeated by GPT-4V: Evidence from Education
  21. Spatial-Related Sensors Matters: 3D Human Motion Reconstruction Assisted with Textual Semantics
  22. RL-MPCA: A Reinforcement Learning Based Multi-Phase Computation Allocation Approach for Recommender Systems
  23. ShennongAlpha: an AI-driven sharing and collaboration platform for intelligent curation, acquisition, and translation of natural medicinal material knowledge
  24. Stateful Conformer with Cache-based Inference for Streaming Automatic Speech Recognition
  25. Large Language Models for Conducting Advanced Text Analytics Information Systems Research
  26. PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation
  27. RefineNet: Enhancing Text-to-Image Conversion with High-Resolution and Detail Accuracy through Hierarchical Transformers and Progressive Refinement
  28. X Modality Assisting RGBT Object Tracking
  29. Generating gradients in the energy landscape using rectified linear type cost functions for efficiently solving 0/1 matrix factorization in Simulated Annealing
  30. Anticipated Network Surveillance -- An extrapolated study to predict cyber-attacks using Machine Learning and Data Analytics
  31. Conversational Question Answering with Reformulations over Knowledge Graph
  32. HMP: Hand Motion Priors for Pose and Shape Estimation from Video
  33. SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads
  34. Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization
  35. Foundations of Reinforcement Learning and Interactive Decision Making
  36. FairCompass: Operationalising Fairness in Machine Learning
  37. A pipeline for multiple orange detection and tracking with 3-D fruit relocalization and neural-net based yield regression in commercial citrus orchards
  38. Prompt Expansion for Adaptive Text-to-Image Generation
  39. Landslide Detection and Segmentation Using Remote Sensing Images and Deep Neural Network
  40. Adversarial Attacks on LoRa Device Identification and Rogue Signal Detection with Deep Learning
  41. A Reversible Perspective on Petri Nets and Event Structures
  42. CSAI: Conditional Self-Attention Imputation for Healthcare Time-series
  43. Modeling Systemic Risk: A Time-Varying Nonparametric Causal Inference Framework
  44. On the Granular Representation of Fuzzy Quantifier-Based Fuzzy Rough Sets
  45. Computational Tradeoffs of Optimization-Based Bound Tightening in ReLU Networks
  46. Performance Comparison of Session-based Recommendation Algorithms based on GNNs
  47. A Large Language Model-based Computational Approach to Improve Identity-Related Write-Ups
  48. LIP-Loc: LiDAR Image Pretraining for Cross-Modal Localization
  49. Robust Collaborative Inference with Vertically Split Data Over Dynamic Device Environments
  50. MIM4DD: Mutual Information Maximization for Dataset Distillation
  51. Sorting of Smartphone Components for Recycling Through Convolutional Neural Networks
  52. Dual-stage optimizer for systematic overestimation adjustment applied to multi-objective genetic algorithms for biomarker selection
  53. Make BERT-based Chinese Spelling Check Model Enhanced by Layerwise Attention and Gaussian Mixture Model
  54. Agnostically Learning Multi-index Models with Queries
  55. Self-supervised Pretraining for Robust Personalized Voice Activity Detection in Adverse Conditions
  56. Exploring intra-task relations to improve meta-learning algorithms
  57. Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction
  58. Exploiting hidden structures in non-convex games for convergence to Nash equilibrium
  59. A Polarization and Radiomics Feature Fusion Network for the Classification of Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma
  60. Twice Class Bias Correction for Imbalanced Semi-Supervised Learning
  61. Visual Instruction Tuning towards General-Purpose Multimodal Model: A Survey
  62. scRNA-seq Data Clustering by Cluster-aware Iterative Contrastive Learning
  63. Relationship between auditory and semantic entrainment using Deep Neural Networks (DNN)
  64. Enhancing Traffic Flow Prediction using Outlier-Weighted AutoEncoders: Handling Real-Time Changes
  65. Learnable Chamfer Distance for Point Cloud Reconstruction
  66. Continuous-time Autoencoders for Regular and Irregular Time Series Imputation
  67. VLCounter: Text-aware Visual Representation for Zero-Shot Object Counting
  68. Multi-modality Affinity Inference for Weakly Supervised 3D Semantic Segmentation
  69. GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection
  70. RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation
  71. Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
  72. Joint empirical risk minimization for instance-dependent positive-unlabeled data
  73. A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning
  74. AE-Flow: AutoEncoder Normalizing Flow
  75. Blind Image Quality Assessment: A Brief Survey
  76. How Robust are LLMs to In-Context Majority Label Bias?
  77. A proposed new metric for the conceptual diversity of a text
  78. FALCON: Feature-Label Constrained Graph Net Collapse for Memory Efficient GNNs
  79. Fl RDT based ultimate lowering of the negative spherical perceptron capacity
  80. Using Enriched Category Theory to Construct the Nearest Neighbour Classification Algorithm
  81. ConstScene: Dataset and Model for Advancing Robust Semantic Segmentation in Construction Environments
  82. S2M: Converting Single-Turn to Multi-Turn Datasets for Conversational Question Answering
  83. Attention-Enhanced Reservoir Computing
  84. Camera calibration for the surround-view system: a benchmark and dataset
  85. A Non-Uniform Low-Light Image Enhancement Method with Multi-Scale Attention Transformer and Luminance Consistency Loss
  86. Mobility and Cost Aware Inference Accelerating Algorithm for Edge Intelligence
  87. Exploring news intent and its application: A theory-driven approach
  88. Best-of-Both-Worlds Linear Contextual Bandits
  89. Source Code is a Graph, Not a Sequence: A Cross-Lingual Perspective on Code Clone Detection
  90. Expressivity and Approximation Properties of Deep Neural Networks with ReLUk Activation
  91. Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation
  92. Group Multi-View Transformer for 3D Shape Analysis with Spatial Encoding
  93. Federated Continual Learning via Knowledge Fusion: A Survey
  94. MolSets: Molecular Graph Deep Sets Learning for Mixture Property Modeling
  95. A Survey on Super Resolution for video Enhancement Using GAN
  96. ReSynthDetect: A Fundus Anomaly Detection Network with Reconstruction and Synthetic Features
  97. Transfer and Alignment Network for Generalized Category Discovery
  98. City-on-Web: Real-time Neural Rendering of Large-scale Scenes on the Web
  99. Adaptive trajectory-constrained exploration strategy for deep reinforcement learning
  100. Learn From Orientation Prior for Radiograph Super-Resolution: Orientation Operator Transformer
All 120
  1. Domain Generalization with Vital Phase Augmentation
  2. FCDNet: Frequency-Guided Complementary Dependency Modeling for Multivariate Time-Series Forecasting
  3. Randomized Signature Methods in Optimal Portfolio Selection
  4. Visual Spatial Attention and Proprioceptive Data-Driven Reinforcement Learning for Robust Peg-in-Hole Task Under Variable Conditions
  5. GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework
  6. Learning to Embed Time Series Patches Independently
  7. In-Hand 3D Object Reconstruction from a Monocular RGB Video
  8. Soft Contrastive Learning for Time Series
  9. General Method for Solving Four Types of SAT Problems
  10. Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks
  11. Segment Change Model (SCM) for Unsupervised Change detection in VHR Remote Sensing Images: a Case Study of Buildings
  12. Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning
  13. Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting
  14. Adaptive Depth Networks with Skippable Sub-Paths
  15. Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding
  16. Frame-level emotional state alignment method for speech emotion recognition
  17. Photovoltaic power forecasting using quantum machine learning
  18. LLM Factoscope: Uncovering LLMs' Factual Discernment through Inner States Analysis
  19. Robustness Verification for Knowledge-Based Logic of Risky Driving Scenes
  20. Keeping Teams in the Game: Predicting Dropouts in Online Problem-Based Learning Competition