mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 3 Aug 2023

182 papers

  1. DiffGANPaint: Fast Inpainting Using Denoising Diffusion GANsDiffusion models → 3D, point cloud and scene generation
  2. ConceptLab: Creative Concept Generation using VLM-Guided Diffusion Prior ConstraintsDiffusion models → Image generation, text-to-image and editing
  3. Synthesising Rare Cataract Surgery Samples with Guided Diffusion ModelsDiffusion models → Medical imaging and segmentation
  4. PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  5. RegionBLIP: A Unified Multi-modal Pre-training Framework for Holistic and Regional ComprehensionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  6. Causality Guided Disentanglement for Cross-Platform Hate Speech DetectionLLM safety and security → Safety alignment, refusal and guardrails
  7. Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain ImagesDiffusion models → Medical imaging and segmentation
  8. Baby Llama: knowledge distillation from an ensemble of teachers trained on a small dataset with no performance penaltyKnowledge distillation → Knowledge distillation for LLMs
  9. From Prompt Injections to SQL Injection Attacks: How Protected is Your LLM-Integrated Web Application?LLM safety and security → Prompt injection and agent security
  10. Reasoning in Large Language Models Through Symbolic Math Word ProblemsLLM reasoning → Mathematical reasoning
  11. Synthesizing Long-Term Human Motions with Diffusion Models via Coherent SamplingDiffusion models → Video generation
  12. Scaling Relationship on Learning Mathematical Reasoning with Large Language ModelsLLM reasoning → Mathematical reasoning
  13. Local Large Language Models for Complex Structured Medical TasksLLM reasoning → Clinical and biomedical applications
  14. Baby's CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact ModelsLLM reasoning → Prompting and chain-of-thought reasoning
  15. DiffColor: Toward High Fidelity Text-Guided Image Colorization with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  16. Reference-Free Isotropic 3D EM Reconstruction using Diffusion ModelsDiffusion models → Inverse problems and image restoration
  17. Adversarial Training of Denoising Diffusion Model Using Dual Discriminators for High-Fidelity Multi-Speaker TTSDiffusion models → Audio, speech and music
  18. Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
  19. InterAct: Exploring the Potentials of ChatGPT as a Cooperative AgentLLM agents and tool use → General LLM agent frameworks and benchmarks
  20. MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup StrategiesDiffusion models → Audio, speech and music
  21. Memory Sandbox: Transparent and Interactive Memory Management for Conversational AgentsLLM agents and tool use → Agent memory systems
  22. MA-FSAR: Multimodal Adaptation of CLIP for Few-Shot Action RecognitionMultimodal LLMs / vision-language models → Video understanding with MLLMs
  23. Target-point Attention Transformer: A novel trajectory predict network for end-to-end autonomous drivingEnd-to-end autonomous driving → End-to-end system architecture
  24. Diffusion-based Time Series Data Imputation for Microsoft 365
  25. Guided Distillation for Semi-Supervised Instance Segmentation
  26. SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents
  27. Unmasking Parkinson's Disease with Smile: An AI-enabled Screening Framework
  28. Cream Skimming the Underground: Identifying Relevant Information Points from Online Forums
  29. Feature Noise Resilient for QoS Prediction with Probabilistic Deep Supervision
  30. Is GPT-4 a reliable rater? Evaluating Consistency in GPT-4 Text Ratings
  31. ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction
  32. Learning Implicit Entity-object Relations by Bidirectional Generative Alignment for Multimodal NER
  33. BioBERT Based SNP-traits Associations Extraction from Biomedical Literature
  34. Weighted Multi-Level Feature Factorization for App ads CTR and installation prediction
  35. SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning
  36. Beyond Images: Adaptive Fusion of Visual and Textual Data for Food Classification
  37. Large-scale Generative Simulation Artificial Intelligence: the Next Hotspot in Generative AI
  38. SoK: Assessing the State of Applied Federated Machine Learning
  39. Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting
  40. Local-Global Temporal Fusion Network with an Attention Mechanism for Multiple and Multiclass Arrhythmia Classification
  41. Efficient Model Adaptation for Continual Learning at the Edge
  42. Target specification bias, counterfactual prediction, and algorithmic fairness in healthcare
  43. Specious Sites: Tracking the Spread and Sway of Spurious News Stories at Scale
  44. Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives
  45. On the Biometric Capacity of Generative Face Models
  46. Accurate Neural Network Pruning Requires Rethinking Sparse Optimization
  47. Incorporating Recklessness to Collaborative Filtering based Recommender Systems
  48. Seasonality Based Reranking of E-commerce Autocomplete Using Natural Language Queries
  49. Robust Independence Tests with Finite Sample Guarantees for Synchronous Stochastic Linear Systems
  50. The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations
  51. A Graphical Approach to Document Layout Analysis
  52. FuNToM: Functional Modeling of RF Circuits Using a Neural Network Assisted Two-Port Analysis Method
  53. UGainS: Uncertainty Guided Anomaly Instance Segmentation
  54. Disease Insight through Digital Biomarkers Developed by Remotely Collected Wearables and Smartphone Data
  55. Deep Maxout Network-based Feature Fusion and Political Tangent Search Optimizer enabled Transfer Learning for Thalassemia Detection
  56. ETran: Energy-Based Transferability Estimation
  57. Evaluation of STT-MRAM as a Scratchpad for Training in ML Accelerators
  58. Efficient Sentiment Analysis: A Resource-Aware Evaluation of Feature Extraction Techniques, Ensembling, and Deep Learning Models
  59. Federated Representation Learning for Automatic Speech Recognition
  60. Memory capacity of two layer neural networks with smooth activations
  61. Bridging Neural and Symbolic Representations with Transitional Dictionary Learning
  62. Explainable unsupervised multi-modal image registration using deep networks
  63. Bengali Fake Reviews: A Benchmark Dataset and Detection System
  64. Predicting Ki67, ER, PR, and HER2 Statuses from H&E-stained Breast Cancer Images
  65. CartiMorph: a framework for automated knee articular cartilage morphometrics
  66. RealCQA: Scientific Chart Question Answering as a Test-bed for First-Order Logic
  67. Domain specificity and data efficiency in typo tolerant spell checkers: the case of search in online marketplaces
  68. SpaDen : Sparse and Dense Keypoint Estimation for Real-World Chart Understanding
  69. Bringing Chemistry to Scale: Loss Weight Adjustment for Multivariate Regression in Deep Learning of Thermochemical Processes
  70. A Multidimensional Analysis of Social Biases in Vision Transformers
  71. Discriminative Graph-level Anomaly Detection via Dual-students-teacher Model
  72. Experimental Results regarding multiple Machine Learning via Quaternions
  73. Dynamic Token-Pass Transformers for Semantic Segmentation
  74. Digital twin brain: a bridge between biological intelligence and artificial intelligence
  75. TSMD: A Database for Static Color Mesh Quality Assessment Study
  76. Online Multi-Task Learning with Recursive Least Squares and Recursive Kernel Methods
  77. The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World
  78. Revisiting Deformable Convolution for Depth Completion
  79. DETR Doesn't Need Multi-Scale or Locality Design
  80. How many preprints have actually been printed and why: a case study of computer science preprints on arXiv
  81. UniSim: A Neural Closed-Loop Sensor Simulator
  82. Improving Replay Sample Selection and Storage for Less Forgetting in Continual Learning
  83. Exact identification of nonlinear dynamical systems by Trimmed Lasso
  84. DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition with Limited Annotations
  85. FROD: Robust Object Detection for Free
  86. Athena 2.0: Discourse and User Modeling in Open Domain Dialogue
  87. Thespian: Multi-Character Text Role-Playing Game Agents
  88. Tag Prediction of Competitive Programming Problems using Deep Learning Techniques
  89. Wider and Deeper LLM Networks are Fairer LLM Evaluators
  90. ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation
  91. Reconstructing Three-Dimensional Models of Interacting Humans
  92. Minimax Statistical Estimation under Wasserstein Contamination
  93. Curricular Transfer Learning for Sentence Encoded Tasks
  94. XNLP: An Interactive Demonstration System for Universal Structured NLP
  95. URET: Universal Robustness Evaluation Toolkit (for Evasion)
  96. Is your data alignable? Principled and interpretable alignability testing and integration of single-cell data
  97. Resampled Confidence Regions with Exponential Shrinkage for the Regression Function of Binary Classification
  98. The Capability of Large Language Models to Measure Psychiatric Functioning
  99. Textless Unit-to-Unit training for Many-to-Many Multilingual Speech-to-Speech Translation
  100. Learning beyond sensations: how dreams organize neuronal representations
All 182
  1. Hard Adversarial Example Mining for Improving Robust Fairness
  2. Tensor Programs IVb: Adaptive Optimization in the Infinite-Width Limit
  3. Deep Neural Networks Fused with Textures for Image Classification
  4. An End-to-end Food Portion Estimation Framework Based on Shape Reconstruction from Monocular Image
  5. QUEST: Query Stream for Practical Cooperative Perception
  6. Job Shop Scheduling via Deep Reinforcement Learning: a Sequence to Sequence approach
  7. Benchmarking Adaptative Variational Quantum Algorithms on QUBO Instances
  8. Lexicon and Rule-based Word Lemmatization Approach for the Somali Language
  9. Point2Mask: Point-supervised Panoptic Segmentation via Optimal Transport
  10. Does Correction Remain A Problem For Large Language Models?
  11. Deep Learning-based Prediction of Stress and Strain Maps in Arterial Walls for Improved Cardiovascular Risk Assessment
  12. Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN
  13. Multidimensional Data Analysis Based on Block Convolutional Tensor Decomposition
  14. Neural Poisson Surface Reconstruction: Resolution-Agnostic Shape Reconstruction from Point Clouds
  15. NuInsSeg: A Fully Annotated Dataset for Nuclei Instance Segmentation in H&E-Stained Histological Images
  16. Bag of Policies for Distributional Deep Exploration
  17. Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants
  18. Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning
  19. Finding the Optimum Design of Large Gas Engines Prechambers Using CFD and Bayesian Optimization
  20. Exploiting Multi-Label Correlation in Label Distribution Learning
  21. Supply chain emission estimation using large language models
  22. Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution
  23. MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction
  24. Ambient Adventures: Teaching ChatGPT on Developing Complex Stories
  25. Towards Self-organizing Personal Knowledge Assistants in Evolving Corporate Memories
  26. Quantification of Predictive Uncertainty via Inference-Time Sampling
  27. Telematics Combined Actuarial Neural Networks for Cross-Sectional and Longitudinal Claim Count Data
  28. Weakly Supervised 3D Instance Segmentation without Instance-level Annotations
  29. Bees Local Phase Quantization Feature Selection for RGB-D Facial Expressions Recognition
  30. Balanced Destruction-Reconstruction Dynamics for Memory-replay Class Incremental Learning
  31. LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware Alignment
  32. Evaluating Link Prediction Explanations for Graph Neural Networks
  33. NBIAS: A Natural Language Processing Framework for Bias Identification in Text
  34. Efficiency of First-Order Methods for Low-Rank Tensor Recovery with the Tensor Nuclear Norm Under Strict Complementarity
  35. End-to-End Reinforcement Learning of Koopman Models for Economic Nonlinear Model Predictive Control
  36. Evaluating ChatGPT text-mining of clinical records for obesity monitoring
  37. BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout
  38. UniG-Encoder: A Universal Feature Encoder for Graph and Hypergraph Node Classification
  39. MARLIM: Multi-Agent Reinforcement Learning for Inventory Management
  40. Improving Wind Resistance Performance of Cascaded PID Controlled Quadcopters using Residual Reinforcement Learning
  41. Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection
  42. Disentangling Multi-view Representations Beyond Inductive Bias
  43. Erasure-based Interaction Network for RGBT Video Object Detection and A Unified Benchmark
  44. Interleaving GANs with knowledge graphs to support design creativity for book covers
  45. ReIDTrack: Multi-Object Track and Segmentation Without Motion
  46. A Novel Convolutional Neural Network Architecture with a Continuous Symmetry
  47. A Survey on Deep Learning-based Spatio-temporal Action Detection
  48. Assessing Systematic Weaknesses of DNNs using Counterfactuals
  49. Real-time Light Estimation and Neural Soft Shadows for AR Indoor Scenarios
  50. Feature Noise Boosts DNN Generalization under Label Noise
  51. Unsupervised Multiplex Graph Learning with Complementary and Consistent Information
  52. Causal thinking for decision making on Electronic Health Records: why and how
  53. IndoHerb: Indonesia Medicinal Plants Recognition using Transfer Learning and Deep Learning
  54. Deep Learning-based surrogate models for parametrized PDEs: handling geometric variability through graph neural networks
  55. DOLCE: A Descriptive Ontology for Linguistic and Cognitive Engineering
  56. Holy Grail 2.0: From Natural Language to Constraint Models
  57. Consistency Regularization for Generalizable Source-free Domain Adaptation
  58. Unsupervised Representation Learning for Time Series: A Review
  59. MVFlow: Deep Optical Flow Estimation of Compressed Videos with Motion Vector Prior
  60. Fast Slate Policy Optimization: Going Beyond Plackett-Luce
  61. Hierarchical Federated Learning in Wireless Networks: Pruning Tackles Bandwidth Scarcity and System Heterogeneity
  62. A Global Transport Capacity Risk Prediction Method for Rail Transit Based on Gaussian Bayesian Network
  63. Avoidance Navigation Based on Offline Pre-Training Reinforcement Learning
  64. Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class Representation
  65. Multimodal Neurons in Pretrained Text-Only Transformers
  66. Lode Enhancer: Level Co-creation Through Scaling
  67. DMDC: Dynamic-mask-based dual camera design for snapshot Hyperspectral Imaging
  68. Non-equilibrium physics: from spin glasses to machine and neural learning
  69. MFIM: Megapixel Facial Identity Manipulation
  70. Comparing scalable strategies for generating numerical perspectives
  71. Data Augmentation for Human Behavior Analysis in Multi-Person Conversations
  72. VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception
  73. PPI-NET: End-to-End Parametric Primitive Inference
  74. COMICS: End-to-end Bi-grained Contrastive Learning for Multi-face Forgery Detection
  75. Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperation
  76. Circumventing Concept Erasure Methods For Text-to-Image Generative Models
  77. TDMD: A Database for Dynamic Color Mesh Subjective and Objective Quality Explorations
  78. Large Language Model Displays Emergent Ability to Interpret Novel Literary Metaphors
  79. Minimax Optimal Q Learning with Nearest Neighbors
  80. Efficient neural supersampling on a novel gaming dataset
  81. Online covariance estimation for stochastic gradient descent under Markovian sampling
  82. Investigating Reinforcement Learning for Communication Strategies in a Task-Initiative Setting