mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 2 Dec 2023

124 papers

  1. AAMDM: Accelerated Auto-regressive Motion Diffusion ModelDiffusion models → Video generation
  2. Axiomatic Preference Modeling for Longform Question AnsweringLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  3. ImageDream: Image-Prompt Multi-view Diffusion for 3D GenerationDiffusion models → 3D, point cloud and scene generation
  4. Diffusion Handles: Enabling 3D Edits for Diffusion Models by Lifting Activations to 3DDiffusion models → 3D, point cloud and scene generation
  5. StableDreamer: Taming Noisy Score Distillation Sampling for Text-to-3DDiffusion models → 3D, point cloud and scene generation
  6. Harnessing Discrete Representations For Continual Reinforcement LearningWorld models → Latent dynamics models and model-based RL
  7. PAC Privacy Preserving Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  8. Ultra-Resolution Cascaded Diffusion Model for Gigapixel Image Synthesis in HistopathologyDiffusion models → Medical imaging and segmentation
  9. Self Generated Wargame AI: Double Layer Agent Task Planning Based on Large Language ModelLLM agents and tool use → Reinforcement learning for LLM agents
  10. Exploring and Improving the Spatial Reasoning Abilities of Large Language ModelsLLM reasoning → Spatial and embodied reasoning
  11. LDM-ISP: Enhancing Neural ISP for Low Light with Latent Diffusion ModelsDiffusion models → Inverse problems and image restoration
  12. Token Fusion: Bridging the Gap between Token Pruning and Token MergingEfficient LLM inference and serving → Token pruning and merging for ViTs
  13. Dual-Teacher De-biasing Distillation Framework for Multi-domain Fake News DetectionKnowledge distillation → General knowledge distillation methods
  14. Toward Improving Robustness of Object Detectors Against Domain Shift
  15. Task tree retrieval from FOON using search algorithms
  16. MatSegNet: a New Boundary-aware Deep Learning Model for Accurate Carbide Precipitate Analysis in High-Strength Steels
  17. Industrial Internet of Things Intelligence Empowering Smart Manufacturing: A Literature Review
  18. AS-XAI: Self-supervised Automatic Semantic Interpretation for CNN
  19. Exploration-Exploitation Model of Moth-Inspired Olfactory Navigation
  20. Knowledge Graph Enhanced Aspect-Level Sentiment Analysis
  21. English to Arabic machine translation of mathematical documents
  22. Automatic Scoring of Students' Science Writing Using Hybrid Neural Network
  23. Which linguistic cues make people fall for fake news? A comparison of cognitive and affective processing
  24. Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations
  25. Meta-learning Optimizers for Communication-Efficient Learning
  26. Learning High-Order Relationships of Brain Regions
  27. Volumetric Rendering with Baked Quadrature Fields
  28. An Empirical Study of Automated Mislabel Detection in Real World Vision Datasets
  29. USat: A Unified Self-Supervised Encoder for Multi-Sensor Satellite Imagery
  30. Test-Time Degradation Adaptation for Open-Set Image Restoration
  31. Dynamic Inertial Poser (DynaIP): Part-Based Motion Dynamics Learning for Enhanced Human Pose Estimation with Sparse Inertial Sensors
  32. Cancer Subtype Identification through Integrating Inter and Intra Dataset Relationships in Multi-Omics Data
  33. Local Masking Meets Progressive Freezing: Crafting Efficient Vision Transformers for Self-Supervised Learning
  34. DiverseDream: Diverse Text-to-3D Synthesis with Augmented Text Embedding
  35. Prompt Tuning for Zero-shot Compositional Learning
  36. A Multifidelity Sim-to-Real Pipeline for Verifiable and Compositional Reinforcement Learning
  37. Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2023): Workshop and Shared Task Report
  38. DDxT: Deep Generative Transformer Models for Differential Diagnosis
  39. Just-in-Time Detection of Silent Security Patches
  40. Motion Informed Needle Segmentation in Ultrasound Images
  41. A deep learning pipeline for cross-sectional and longitudinal multiview data integration
  42. Evetac: An Event-based Optical Tactile Sensor for Robotic Manipulation
  43. A Comprehensive Study of Vision Transformers in Image Classification Tasks
  44. Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities
  45. UCE-FID: Using Large Unlabeled, Medium Crowdsourced-Labeled, and Small Expert-Labeled Tweets for Foodborne Illness Detection
  46. Enabling Quantum Natural Language Processing for Hindi Language
  47. Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation
  48. Understanding Opinions Towards Climate Change on Social Media
  49. RNb-NeuS: Reflectance and Normal-based Multi-View 3D Reconstruction
  50. Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural networks: from Algorithms to Technology
  51. A Comparative Analysis Towards Melanoma Classification Using Transfer Learning by Analyzing Dermoscopic Images
  52. When accurate prediction models yield harmful self-fulfilling prophecies
  53. From Voices to Validity: Leveraging Large Language Models (LLMs) for Textual Analysis of Policy Stakeholder Interviews
  54. Short-term Precipitation Forecasting in The Netherlands: An Application of Convolutional LSTM neural networks to weather radar data
  55. Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction
  56. Bootstrapping Interactive Image-Text Alignment for Remote Sensing Image Captioning
  57. Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning
  58. SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer
  59. A ripple in time: a discontinuity in American history
  60. Exploring a Hybrid Deep Learning Framework to Automatically Discover Topic and Sentiment in COVID-19 Tweets
  61. IDPL-PFOD2: A New Large-Scale Dataset for Printed Farsi Optical Character Recognition
  62. On-sensor Printed Machine Learning Classification via Bespoke ADC and Decision Tree Co-Design
  63. Virtual Category Learning: A Semi-Supervised Learning Method for Dense Prediction with Extremely Limited Labels
  64. Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning
  65. A New Learning Paradigm for Foundation Model-based Remote Sensing Change Detection
  66. Here Is Not There: Measuring Entailment-Based Trajectory Similarity for Location-Privacy Protection and Beyond
  67. Has Anything Changed? 3D Change Detection by 2D Segmentation Masks
  68. Towards leveraging LLMs for Conditional QA
  69. Fast and Robust Sparsity-Aware Block Diagonal Representation
  70. t3-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence
  71. ControlDreamer: Blending Geometry and Style in Text-to-3D
  72. SPEEDNet: Salient Pyramidal Enhancement Encoder-Decoder Network for Colonoscopy Images
  73. Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems
  74. Virtual reservoir acceleration for CPU and GPU: Case study for coupled spin-torque oscillator reservoir
  75. Beyond Accuracy: Statistical Measures and Benchmark for Evaluation of Representation from Self-Supervised Learning
  76. Paved2Paradise: Cost-Effective and Scalable LiDAR Simulation by Factoring the Real World
  77. TURead: An eye movement dataset of Turkish reading
  78. Strong Duality Relations in Nonconvex Risk-Constrained Learning
  79. Kattis vs. ChatGPT: Assessment and Evaluation of Programming Tasks in the Age of Artificial Intelligence
  80. Rapid Speaker Adaptation in Low Resource Text to Speech Systems using Synthetic Data and Transfer learning
  81. S2P3: Self-Supervised Polarimetric Pose Prediction
  82. QPoser: Quantized Explicit Pose Prior Modeling for Controllable Pose Generation
  83. Code-Mixed Text to Speech Synthesis under Low-Resource Constraints
  84. Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher
  85. Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under Uncertainty
  86. Predicting Postoperative Nausea And Vomiting Using Machine Learning: A Model Development and Validation Study
  87. A Semi-Supervised Deep Learning Approach to Dataset Collection for Query-By-Humming Task
  88. Prompted Zero-Shot Multi-label Classification of Factual Incorrectness in Machine-Generated Summaries
  89. RobustCalib: Robust Lidar-Camera Extrinsic Calibration with Consistency Learning
  90. Consistency Prototype Module and Motion Compensation for Few-Shot Action Recognition (CLIP-CPM2C)
  91. A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness
  92. Adaptive Resource Allocation for Semantic Communication Networks
  93. A Survey of Temporal Credit Assignment in Deep Reinforcement Learning
  94. DPHMs: Diffusion Parametric Head Models for Depth-based Tracking
  95. Acoustic Signal Analysis with Deep Neural Network for Detecting Fault Diagnosis in Industrial Machines
  96. Spectral-wise Implicit Neural Representation for Hyperspectral Image Reconstruction
  97. Spectrum-driven Mixed-frequency Network for Hyperspectral Salient Object Detection
  98. RLHF and IIA: Perverse Incentives
  99. End-to-End Speech-to-Text Translation: A Survey
  100. SCTc-TE: A Comprehensive Formulation and Benchmark for Temporal Event Forecasting
All 124
  1. Detection and Analysis of Stress-Related Posts in Reddit Acamedic Communities
  2. A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization
  3. Bagged Regularized k-Distances for Anomaly Detection
  4. PROFL: A Privacy-Preserving Federated Learning Method with Stringent Defense Against Poisoning Attacks
  5. Large Language Models Are Zero-Shot Text Classifiers
  6. Quantifying Hippocampal Shape Asymmetry in Alzheimer's Disease Using Optimal Shape Correspondences
  7. From Beginner to Expert: Modeling Medical Knowledge into General LLMs
  8. Eliciting Latent Knowledge from Quirky Language Models
  9. Harnessing the Power of Prompt-based Techniques for Generating School-Level Questions using Large Language Models
  10. RNN-BOF: A Multivariate Global Recurrent Neural Network for Binary Outcome Forecasting of Inpatient Aggression
  11. Hybrid Quantum Neural Network in High-dimensional Data Classification
  12. Advanced Large Language Model (LLM)-Driven Verilog Development: Enhancing Power, Performance, and Area Optimization in Code Synthesis
  13. Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical Simulations
  14. ResNLS: An Improved Model for Stock Price Forecasting
  15. Unveiling the Power of Audio-Visual Early Fusion Transformers with Dense Interactions through Masked Modeling
  16. A Hypergraph-Based Approach to Recommend Online Resources in a Library
  17. Generating Images of the M87* Black Hole Using GANs
  18. Self-Evolving Neural Radiance Fields
  19. Learning county from pixels: corn yield prediction with attention-weighted multiple instance learning
  20. Second-Order Uncertainty Quantification: A Distance-Based Approach
  21. Improving Normative Modeling for Multi-modal Neuroimaging Data using mixture-of-product-of-experts variational autoencoders
  22. Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training
  23. Deep Generative Attacks and Countermeasures for Data-Driven Offline Signature Verification
  24. Noisy probing dose facilitated dose prediction for pencil beam scanning proton therapy: physics enhances generalizability