mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 16 Dec 2023

130 papers

  1. When Parameter-efficient Tuning Meets General-purpose Vision-language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  2. Advancing RAN Slicing with Offline Reinforcement LearningOffline RL and imitation learning from data → Offline multi-agent RL
  3. VecFusion: Vector Font Generation with DiffusionDiffusion models → Image generation, text-to-image and editing
  4. CoCoGen: Physically-Consistent and Conditioned Score-based Generative Models for Forward and Inverse ProblemsDiffusion models → Flow matching, time series and science
  5. Comprehensive Evaluation of ChatGPT Reliability Through Multilingual InquiriesLLM safety and security → Jailbreaking
  6. RIGHT: Retrieval-augmented Generation for Mainstream Hashtag RecommendationRetrieval-augmented generation → RAG pipeline design and evaluation
  7. Continuous Diffusion for Mixed-Type Tabular DataDiffusion models → Flow matching, time series and science
  8. DeepArt: A Benchmark to Advance Fidelity Research in AI-Generated ContentMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  9. Lecture Notes in Probabilistic Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  10. STA-VPT: SpatioTemporally Aligned Visual Prompt TuningMixture-of-experts → Multimodal MoE models
  11. When Graph Data Meets Multimodal: A New Paradigm for Graph Understanding and ReasoningLLM reasoning → Multimodal reasoning
  12. Certified Minimax Unlearning with Generalization Rates and Deletion CapacityLLM safety and security → Machine unlearning
  13. Image Restoration Through Generalized Ornstein-Uhlenbeck BridgeDiffusion models → Inverse problems and image restoration
  14. Image Classifier Based Generative Method for Planar Antenna Design
  15. Democratize with Care: The need for fairness specific features in user-interface based open source AutoML tools
  16. Prediction of Crash Injury Severity in Florida's Interstate-95
  17. Let AI Entertain You: Increasing User Engagement with Generative AI and Rejection Sampling
  18. PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU
  19. FengWu-4DVar: Coupling the Data-driven Weather Forecasting Model with 4D Variational Assimilation
  20. Learning Interpretable Queries for Explainable Image Classification with Information Pursuit
  21. A Unified Pre-training and Adaptation Framework for Combinatorial Optimization on Graphs
  22. Robust Communicative Multi-Agent Reinforcement Learning with Active Defense
  23. FER-C: Benchmarking Out-of-Distribution Soft Calibration for Facial Expression Recognition
  24. CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare
  25. On the Trade-off between the Number of Nodes and the Number of Trees in a Random Forest
  26. Enabling Accelerators for Graph Computing
  27. Optimizing Dense Feed-Forward Neural Networks
  28. Improving Environment Robustness of Deep Reinforcement Learning Approaches for Autonomous Racing Using Bayesian Optimization-based Curriculum Learning
  29. Deep Similarity Learning Loss Functions in Data Transformation for Class Imbalance
  30. Machine Learning-Enhanced Prediction of Surface Smoothness for Inertial Confinement Fusion Target Polishing Using Limited Data
  31. Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs
  32. Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
  33. Learning graphs and simplicial complexes from data
  34. DETER: Detecting Edited Regions for Deterring Generative Manipulations
  35. USTHB at NADI 2023 shared task: Exploring Preprocessing and Feature Engineering Strategies for Arabic Dialect Identification
  36. Rethinking Robustness of Model Attributions
  37. How to Train Neural Field Representations: A Comprehensive Study and Benchmark
  38. Transformers in Unsupervised Structure-from-Motion
  39. Cross-Linguistic Offensive Language Detection: BERT-Based Analysis of Bengali, Assamese, & Bodo Conversational Hateful Content from Social Media
  40. Paloma: A Benchmark for Evaluating Language Model Fit
  41. Seq2seq for Automatic Paraphasia Detection in Aphasic Speech
  42. PETDet: Proposal Enhancement for Two-Stage Fine-Grained Object Detection
  43. Value of Information and Timing-aware Scheduling for Federated Learning
  44. TrojFair: Trojan Fairness Attacks
  45. Do Bayesian Neural Networks Improve Weapon System Predictive Maintenance?
  46. Debiasing Multimodal Sarcasm Detection with Contrastive Learning
  47. Spatial Deep Learning for Site-Specific Movement Optimization of Aerial Base Stations
  48. All Attention U-NET for Semantic Segmentation of Intracranial Hemorrhages In Head CT Images
  49. A new method color MS-BSIF Features learning for the robust kinship verification
  50. A Soft Contrastive Learning-based Prompt Model for Few-shot Sentiment Analysis
  51. Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System
  52. Enhancing Person Re-Identification through Tensor Feature Fusion
  53. One step closer to unbiased aleatoric uncertainty estimation
  54. TrojFSP: Trojan Insertion in Few-shot Prompt Tuning
  55. Identity Curvature Laplace Approximation for Improved Out-of-Distribution Detection
  56. Fusion of Deep and Shallow Features for Face Kinship Verification
  57. Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection
  58. Degree-based stratification of nodes in Graph Neural Networks
  59. Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning
  60. Exploring Large Language Models in Resolving Environment-Related Crash Bugs: Localizing and Repairing
  61. Finger Biometric Recognition With Feature Selection
  62. Weight-Entanglement Meets Gradient-Based Neural Architecture Search
  63. Simple Image-level Classification Improves Open-vocabulary Object Detection
  64. Tender Notice Extraction from E-papers Using Neural Network
  65. Decomposing Hard SAT Instances with Metaheuristic Optimization
  66. Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model
  67. From Dialogue to Diagram: Task and Relationship Extraction from Natural Language for Accelerated Business Process Prototyping
  68. ResoNet: Robust and Explainable ENSO Forecasts with Hybrid Convolution and Transformer Networks
  69. Knowledge Rumination for Client Utility Evaluation in Heterogeneous Federated Learning
  70. A Concentration Bound for TD(0) with Function Approximation
  71. Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation
  72. Learning Dense Correspondence for NeRF-Based Face Reenactment
  73. Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing
  74. M^2ConceptBase: A Fine-Grained Aligned Concept-Centric Multimodal Knowledge Base
  75. Towards Reliable Participation in UAV-Enabled Federated Edge Learning on Non-IID Data
  76. Annotation-free Automatic Music Transcription with Scalable Synthetic Data and Adversarial Domain Confusion
  77. Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective
  78. How Far Can Fairness Constraints Help Recover From Biased Data?
  79. Not Every Side Is Equal: Localization Uncertainty Estimation for Semi-Supervised 3D Object Detection
  80. ElasticLaneNet: An Efficient Geometry-Flexible Approach for Lane Detection
  81. The Causal Impact of Credit Lines on Spending Distributions
  82. RedCore: Relative Advantage Aware Cross-modal Representation Learning for Missing Modalities with Imbalanced Missing Rates
  83. Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning
  84. PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning
  85. Collect and Connect Data Leaves to Feature Concepts: Interactive Graph Generation Toward Well-being
  86. Neural Operators for Boundary Stabilization of Stop-and-go Traffic
  87. K-ESConv: Knowledge Injection for Emotional Support Dialogue Systems via Prompt Learning
  88. Do Similar Entities have Similar Embeddings?
  89. Proportional Representation in Metric Spaces and Low-Distortion Committee Selection
  90. Fusing Conditional Submodular GAN and Programmatic Weak Supervision
  91. SPT: Fine-Tuning Transformer-based Language Models Efficiently with Sparsification
  92. Exploring UMAP in hybrid models of entropy-based and representativeness sampling for active learning in biomedical segmentation
  93. Conformer-Based Speech Recognition On Extreme Edge-Computing Devices
  94. CONCSS: Contrastive-based Context Comprehension for Dialogue-appropriate Prosody in Conversational Speech Synthesis
  95. CoAScore: Chain-of-Aspects Prompting for NLG Evaluation
  96. Opara: Exploiting Operator Parallelism for Expediting DNN Inference on GPUs
  97. A Comparative Analysis of Large Language Models for Code Documentation Generation
  98. MMBaT: A Multi-task Framework for mmWave-based Human Body Reconstruction and Translation Prediction
  99. In-Sensor Radio Frequency Computing for Energy-Efficient Intelligent Radar
  100. Self-supervised Adaptive Weighting for Cooperative Perception in V2V Communications
All 130
  1. Model-free Learning of Corridor Clearance: A Near-term Deployment Perspective
  2. ProTIP: Progressive Tool Retrieval Improves Planning
  3. Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization
  4. Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off
  5. Deriving Rewards for Reinforcement Learning from Symbolic Behaviour Descriptions of Bipedal Walking
  6. An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention
  7. Federated Learning with Instance-Dependent Noisy Label
  8. Continuous Prompt Generation from Linear Combination of Discrete Prompt Embeddings
  9. LLM-SQL-Solver: Can LLMs Determine SQL Equivalence?
  10. Symmetrical Bidirectional Knowledge Alignment for Zero-Shot Sketch-Based Image Retrieval
  11. Spatial-Temporal DAG Convolutional Networks for End-to-End Joint Effective Connectivity Learning and Resting-State fMRI Classification
  12. DeepCalliFont: Few-shot Chinese Calligraphy Font Synthesis by Integrating Dual-modality Generative Models
  13. STELLAR: Siamese Multi-Headed Attention Neural Networks for Overcoming Temporal Variations and Device Heterogeneity with Indoor Localization
  14. scBiGNN: Bilevel Graph Representation Learning for Cell Type Classification from Single-cell RNA Sequencing Data
  15. Event-Based Contrastive Learning for Medical Time Series
  16. MusER: Musical Element-Based Regularization for Generating Symbolic Music with Emotion
  17. Mapping Housing Stock Characteristics from Drone Images for Climate Resilience in the Caribbean
  18. Self-Supervised Disentangled Representation Learning for Robust Target Speech Extraction
  19. Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints
  20. One-Shot Learning as Instruction Data Prospector for Large Language Models
  21. Shot2Story: A New Benchmark for Comprehensive Understanding of Multi-shot Videos
  22. Inductive Link Prediction in Knowledge Graphs using Path-based Neural Networks
  23. Active Reinforcement Learning for Robust Building Control
  24. RetailKLIP : Finetuning OpenCLIP backbone using metric learning on a single GPU for Zero-shot retail product image classification
  25. A charge-preserving method for solving graph neural diffusion networks
  26. Asymmetric Norms to Approximate the Minimum Action Distance
  27. Operator-learning-inspired Modeling of Neural Ordinary Differential Equations
  28. Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data
  29. Random Models for Fuzzy Clustering Similarity Measures
  30. The DSA Transparency Database: Auditing Self-reported Moderation Actions by Social Media