mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 4 Mar 2023

90 papers

  1. MathPrompter: Mathematical Reasoning using Large Language ModelsLLM reasoning → Mathematical reasoning
  2. Prismer: A Vision-Language Model with Multi-Task ExpertsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  3. Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details LaterDiffusion models → Diffusion foundations and sampling
  4. CapDet: Unifying Dense Captioning and Open-World Detection PretrainingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  5. FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion TasksMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  6. Synthetic ECG Signal Generation using Probabilistic Diffusion ModelsDiffusion models → Medical imaging and segmentation
  7. CFlowNets: Continuous Control with Generative Flow NetworksDiffusion models → Diffusion and flow policies for robotics
  8. Training-Free Acceleration of ViTs with Delayed Spatial MergingEfficient LLM inference and serving → Token pruning and merging for ViTs
  9. Co-Speech Gesture Synthesis using Discrete Gesture Token Learning
  10. Could a Large Language Model be Conscious?
  11. Affordable Artificial Intelligence -- Augmenting Farmer Knowledge with AI
  12. AERK: Aligned Entropic Reproducing Kernels through Continuous-time Quantum Walks
  13. Demonstration-guided Deep Reinforcement Learning for Coordinated Ramp Metering and Perimeter Control in Large Scale Networks
  14. Attention-based convolutional neural network for perfusion T2-weighted MR images preprocessing
  15. Detection of the Arterial Input Function Using DSC-MRI Data
  16. Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection
  17. Visual Saliency-Guided Channel Pruning for Deep Visual Detectors in Autonomous Driving
  18. Chasing Low-Carbon Electricity for Practical and Sustainable DNN Training
  19. Investigating Group Distributionally Robust Optimization for Deep Imbalanced Learning: A Case Study of Binary Tabular Data Classification
  20. MNL-Bandit in non-stationary environments
  21. Zero-Effort Two-Factor Authentication Using Wi-Fi Radio Wave Transmission and Machine Learning
  22. Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
  23. ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure
  24. Variational Quantum Classifiers for Natural-Language Text
  25. Lon-ea at SemEval-2023 Task 11: A Comparison of Activation Functions for Soft and Hard Label Prediction
  26. Integration of Feature Selection Techniques using a Sleep Quality Dataset for Comparing Regression Algorithms
  27. Towards Improved Illicit Node Detection with Positive-Unlabelled Learning
  28. Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern Analysis
  29. DistilPose: Tokenized Pose Regression with Heatmap Distillation
  30. Exploiting Implicit Rigidity Constraints via Weight-Sharing Aggregation for Scene Flow Estimation from Point Clouds
  31. Understanding weight-magnitude hyperparameters in training binary networks
  32. Tensorized LSSVMs for Multitask Regression
  33. Exploit CAM by itself: Complementary Learning System for Weakly Supervised Semantic Segmentation
  34. DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks
  35. Comparative Studies of Unsupervised and Supervised Learning Methods based on Multimedia Applications
  36. Federated Semi-Supervised Learning with Annotation Heterogeneity
  37. Calibrating Transformers via Sparse Gaussian Processes
  38. Neural Airport Ground Handling
  39. ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based Polishing
  40. Self-tuning hyper-parameters for unsupervised cross-lingual tokenization
  41. Improving the quality of dental crown using a Transformer-based method
  42. Exploring The Potential Of GANs In Biological Sequence Analysis
  43. Compressed Interaction Graph based Framework for Multi-behavior Recommendation
  44. PixMIM: Rethinking Pixel Reconstruction in Masked Image Modeling
  45. Improved Trajectory Reconstruction for Markerless Pose Estimation
  46. Progressive Bayesian Particle Flows based on Optimal Transport Map Sequences
  47. The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges
  48. Decision Support System for Chronic Diseases Based on Drug-Drug Interactions
  49. Fine-Grained Classification with Noisy Labels
  50. Open-Vocabulary Affordance Detection in 3D Point Clouds
  51. Fine-Grained ImageNet Classification in the Wild
  52. RweetMiner: Automatic identification and categorization of help requests on twitter during disasters
  53. A General Framework for Learning Procedural Audio Models of Environmental Sounds
  54. Seq-HyGAN: Sequence Classification via Hypergraph Attention Network
  55. Audio-Visual Quality Assessment for User Generated Content: Database and Method
  56. Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation
  57. Graph-based Representation for Image based on Granular-ball
  58. Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism
  59. Modular Safety-Critical Control of Legged Robots
  60. Hierarchical Training of Deep Neural Networks Using Early Exiting
  61. Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control
  62. NeuDA: Neural Deformable Anchor for High-Fidelity Implicit Surface Reconstruction
  63. Self-Supervised Learning for Place Representation Generalization across Appearance Changes
  64. DiTTO: A Feature Representation Imitation Approach for Improving Cross-Lingual Transfer
  65. Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling
  66. MetaGrad: Adaptive Gradient Quantization with Hypernetworks
  67. FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation
  68. Improving Audio-Visual Video Parsing with Pseudo Visual Labels
  69. What Is Missing in IRM Training and Evaluation? Challenges and Solutions
  70. RoLNiP: Robust Learning Using Noisy Pairwise Comparisons
  71. Dynamic Deep Learning LES Closures: Online Optimization With Embedded DNS
  72. Demystifying What Code Summarization Models Learned
  73. Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization
  74. APE: An Open and Shared Annotated Dataset for Learning Urban Pedestrian Path Networks
  75. Improved Robustness Against Adaptive Attacks With Ensembles and Error-Correcting Output Codes
  76. Real-Time Hand Gesture Identification in Thermal Images
  77. Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders
  78. Achieving Counterfactual Fairness for Anomaly Detection
  79. Virtual Sparse Convolution for Multimodal 3D Object Detection
  80. Traffic State Estimation from Vehicle Trajectories with Anisotropic Gaussian Processes
  81. IKD+: Reliable Low Complexity Deep Models For Retinopathy Classification
  82. Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations
  83. Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised Domain Adaptation
  84. Conflict-driven Structural Learning Towards Higher Coverage Rate in ATPG
  85. OASIS: Automated Assessment of Urban Pedestrian Paths at Scale
  86. Fixed-point quantization aware training for on-device keyword-spotting
  87. Federated Learning on Virtual Heterogeneous Data with Local-global Distillation
  88. Learning Label Encodings for Deep Regression
  89. Real-time SLAM Pipeline in Dynamics Environment
  90. Double A3C: Deep Reinforcement Learning on OpenAI Gym Games