mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 11 Sep 2023

213 papers

  1. KD-FixMatch: Knowledge Distillation Siamese Neural NetworksKnowledge distillation → General knowledge distillation methods
  2. Revisiting Energy Based Models as Policies: Ranking Noise Contrastive Estimation and Interpolating Energy ModelsDiffusion models → Diffusion and flow policies for robotics
  3. Robust Physics-based Deep MRI Reconstruction Via Diffusion PurificationDiffusion models → Medical imaging and segmentation
  4. PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  5. Adversarial Score-Based Generative Models for MMSE-achieving AmBC Channel EstimationDiffusion models → Diffusion for compression and wireless
  6. GlobalDoc: A Cross-Modal Vision-Language Framework for Real-World Document Image Retrieval and ClassificationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  7. Hypothesis Search: Inductive Reasoning with Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  8. Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
  9. PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the CloudDiffusion models → Image generation, text-to-image and editing
  10. NExT-GPT: Any-to-Any Multimodal LLMMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  11. Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction TuningMixture-of-experts → MoE theory and gating functions
  12. Treatment-aware Diffusion Probabilistic Model for Longitudinal MRI Generation and Diffuse Glioma Growth PredictionDiffusion models → Medical imaging and segmentation
  13. Discrete Denoising Diffusion Approach to Integer FactorizationDiffusion models → Diffusion foundations and sampling
  14. FuzzLLM: A Novel and Universal Fuzzing Framework for Proactively Discovering Jailbreak Vulnerabilities in Large Language ModelsLLM safety and security → Jailbreaking
  15. HiLM-D: Enhancing MLLMs with Multi-Scale High-Resolution Details for Autonomous DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
  16. Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh
  17. Efficient Network Representation for GNN-based Intrusion Detection
  18. Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables
  19. A comparison between black-, grey- and white-box modeling for the bidirectional Raman amplifier optimization
  20. Generative Hyperelasticity with Physics-Informed Probabilistic Diffusion Fields
  21. Applying BioBERT to Extract Germline Gene-Disease Associations for Building a Knowledge Graph from the Biomedical Literature
  22. Using causal inference to avoid fallouts in data-driven parametric analysis: a case study in the architecture, engineering, and construction industry
  23. Exploration and Comparison of Deep Learning Architectures to Predict Brain Response to Realistic Pictures
  24. Introspective Deep Metric Learning
  25. Challenges in Annotating Datasets to Quantify Bias in Under-represented Society
  26. Balance Measures Derived from Insole Sensor Differentiate Prodromal Dementia with Lewy Bodies
  27. COMPASS: High-Efficiency Deep Image Compression with Arbitrary-scale Spatial Scalability
  28. Hierarchical Audio-Visual Information Fusion with Multi-label Joint Decoding for MER 2023
  29. Hybrid ASR for Resource-Constrained Robots: HMM - Deep Learning Fusion
  30. Systematic Review of Experimental Paradigms and Deep Neural Networks for Electroencephalography-Based Cognitive Workload Detection
  31. A Strong and Simple Deep Learning Baseline for BCI MI Decoding
  32. Compressed Real Numbers for AI: a case-study using a RISC-V CPU
  33. Large Language Models for Compiler Optimization
  34. Efficient Finite Initialization with Partial Norms for Tensorized Neural Networks and Tensor Networks Algorithms
  35. Circle Feature Graphormer: Can Circle Features Stimulate Graph Transformer?
  36. Unsupervised Bias Detection in College Student Newspapers
  37. Desenvolvimento de modelo para predicc~ao de cotacc~oes de acc~ao baseada em an'alise de sentimentos de tweets
  38. Reaction coordinate flows for model reduction of molecular kinetics
  39. Force-directed graph embedding with hops distance
  40. The bionic neural network for external simulation of human locomotor system
  41. Subgroup detection in linear growth curve models with generalized linear mixed model (GLMM) trees
  42. Uncovering mesa-optimization algorithms in Transformers
  43. Radiomics Boosts Deep Learning Model for IPMN Classification
  44. Instabilities in Convnets for Raw Audio
  45. ChemSpaceAL: An Efficient Active Learning Methodology Applied to Protein-Specific Molecular Generation
  46. Effective Abnormal Activity Detection on Multivariate Time Series Healthcare Data
  47. Optimizing Audio Augmentations for Contrastive Learning of Health-Related Acoustic Signals
  48. Self-Correlation and Cross-Correlation Learning for Few-Shot Remote Sensing Image Semantic Segmentation
  49. Liu-type Shrinkage Estimators for Mixture of Poisson Regressions with Experts: A Heart Disease Study
  50. The Safety Filter: A Unified View of Safety-Critical Control in Autonomous Systems
  51. SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-supervised Skeleton-based Action Recognition
  52. PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis
  53. Instance-Agnostic Geometry and Contact Dynamics Learning
  54. Studying Accuracy of Machine Learning Models Trained on Lab Lifting Data in Solving Real-World Problems Using Wearable Sensors for Workplace Safety
  55. Mobile Vision Transformer-based Visual Object Tracking
  56. Exploring Geometric Deep Learning For Precipitation Nowcasting
  57. Ensemble-based modeling abstractions for modern self-optimizing systems
  58. Rice Plant Disease Detection and Diagnosis using Deep Convolutional Neural Networks and Multispectral Imaging
  59. Interpretable learning of effective dynamics for multiscale systems
  60. Predicting the Radiation Field of Molecular Clouds using Denoising Diffusion Probabilistic Models
  61. SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors
  62. Divergences in Color Perception between Deep Neural Networks and Humans
  63. Online ML Self-adaptation in Face of Traps
  64. Hi Model, generating 'nice' instead of 'good' is not as bad as generating 'rice'! Towards Context and Semantic Infused Dialogue Generation Loss Function and Evaluation Metric
  65. Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning
  66. On the Fine-Grained Hardness of Inverting Generative Models
  67. Adaptive User-centered Neuro-symbolic Learning for Multimodal Interaction with Autonomous Systems
  68. Grey-box Bayesian Optimization for Sensor Placement in Assisted Living Environments
  69. Blendshapes GHUM: Real-time Monocular Facial Blendshape Prediction
  70. LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images
  71. Smartwatch-derived Acoustic Markers for Deficits in Cognitively Relevant Everyday Functioning
  72. Compressive Mahalanobis Metric Learning Adapts to Intrinsic Dimension
  73. Evaluating the Reliability of CNN Models on Classifying Traffic and Road Signs using LIME
  74. CaloClouds II: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation
  75. Unsupervised Machine Learning Techniques for Exploring Tropical Coamoeba, Brane Tilings and Seiberg Duality
  76. 21cmEMU: an emulator of 21cmFAST summary observables
  77. Large Language Model for Science: A Study on P vs. NP
  78. Temporal Patience: Efficient Adaptive Deep Learning for Embedded Radar Data Processing
  79. EANet: Expert Attention Network for Online Trajectory Prediction
  80. Robot Parkour Learning
  81. Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips
  82. ViHOPE: Visuotactile In-Hand Object 6D Pose Estimation with Shape Completion
  83. On the quality of randomized approximations of Tukey's depth
  84. Dynamic Handover: Throw and Catch with Bimanual Hands
  85. MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
  86. An Effective Two-stage Training Paradigm Detector for Small Dataset
  87. Data efficiency, dimensionality reduction, and the generalized symmetric information bottleneck
  88. Lightweight CNN-Based DDoS Detection for Resource-Constrained Edge Networks
  89. CitDet: A Benchmark Dataset for Citrus Fruit Detection
  90. Errors are Robustly Tamed in Cumulative Knowledge Processes
  91. Boundary Peeling: Outlier Detection Method Using One-Class Peeling
  92. Effective Proxy for Human Labeling: Ensemble Disagreement Scores in Large Language Models for Industrial NLP
  93. Learning the Geodesic Embedding with Graph Neural Networks
  94. Privacy Side Channels in Machine Learning Systems
  95. Incorporating Pre-trained Model Prompting in Multimodal Stock Volume Movement Prediction
  96. Temporal Action Localization with Enhanced Instant Discriminability
  97. Quantitative Analysis of Forecasting Models:In the Aspect of Online Political Bias
  98. Mind the Uncertainty: Risk-Aware and Actively Exploring Model-Based Reinforcement Learning
  99. Anisotropic Diffusion Stencils: From Simple Derivations over Stability Estimates to ResNet Implementations
  100. UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase
All 213
  1. ITI-GEN: Inclusive Text-to-Image Generation
  2. An Empirical Study of NetOps Capability of Pre-Trained Large Language Models
  3. OpenFashionCLIP: Vision-and-Language Contrastive Learning with Open-Source Fashion Data
  4. Distance-Aware eXplanation Based Learning
  5. Kani: A Lightweight and Highly Hackable Framework for Building Language Model Applications
  6. On the meaning of uncertainty for ethical AI: philosophy and practice
  7. On the detection of Out-Of-Distribution samples in Multiple Instance Learning
  8. ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation
  9. Advancing Federated Learning in 6G: A Trusted Architecture with Graph-based Analysis
  10. Re-formalization of Individual Fairness
  11. Stream-based Active Learning by Exploiting Temporal Properties in Perception with Temporal Predicted Loss
  12. Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs
  13. A Co-design Study for Multi-Stakeholder Job Recommender System Explanations
  14. Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning
  15. Long-Range Transformer Architectures for Document Understanding
  16. Black-Box Analysis: GPTs Across Time in Legal Textual Entailment Task
  17. NeCo@ALQAC 2023: Legal Domain Knowledge Acquisition for Low-Resource Languages through Data Enrichment
  18. Zero-Shot Co-salient Object Detection Framework
  19. Personality Detection and Analysis using Twitter Data
  20. CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts
  21. Learning Semantic Segmentation with Query Points Supervision on Aerial Images
  22. Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes
  23. Zero-shot Learning with Minimum Instruction to Extract Social Determinants and Family History from Clinical Notes using GPT Model
  24. Machine learning the dimension of a Fano variety
  25. LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speech
  26. Textbooks Are All You Need II: phi-1.5 technical report
  27. Unveiling the Sentinels: Assessing AI Performance in Cybersecurity Peer Review
  28. Diffusion-Based Co-Speech Gesture Generation Using Joint Text and Audio Representation
  29. Flesch or Fumble? Evaluating Readability Standard Alignment of Instruction-Tuned Language Models
  30. Evaluating the Deductive Competence of Large Language Models
  31. Dual-view Curricular Optimal Transport for Cross-lingual Cross-modal Retrieval
  32. Panoptic Vision-Language Feature Fields
  33. DoG-Instruct: Towards Premium Instruction-Tuning Data via Text-Grounded Instruction Wrapping
  34. A Localization-to-Segmentation Framework for Automatic Tumor Segmentation in Whole-Body PET/CT Images
  35. Towards Content-based Pixel Retrieval in Revisited Oxford and Paris
  36. Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models
  37. A parameterised model for link prediction using node centrality and similarity measure based on graph embedding
  38. Neuromorphic Auditory Perception by Neural Spiketrum
  39. Improving Information Extraction on Business Documents with Specific Pre-Training Tasks
  40. Multi-Modal Automatic Prosody Annotation with Contrastive Pretraining of SSWP
  41. FlowIBR: Leveraging Pre-Training for Efficient Neural Image-Based Rendering of Dynamic Scenes
  42. Learning noise-induced transitions by multi-scaling reservoir computing
  43. Two-Stage Hybrid Supervision Framework for Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT
  44. Physics-informed reinforcement learning via probabilistic co-adjustment functions
  45. SABLE: Secure And Byzantine robust LEarning
  46. Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach
  47. Robust Single Rotation Averaging Revisited
  48. Data-Driven Model Reduction and Nonlinear Model Predictive Control of an Air Separation Unit by Applied Koopman Theory
  49. Hazards in Deep Learning Testing: Prevalence, Impact and Recommendations
  50. Collective PV-RCNN: A Novel Fusion Technique using Collective Detections for Enhanced Local LiDAR-Based Perception
  51. Steps Towards Satisficing Distributed Dynamic Team Trust
  52. Toward a Deeper Understanding: RetNet Viewed through Convolution
  53. Exploring Minecraft Settlement Generators with Generative Shift Analysis
  54. Cross-tokamak Disruption Prediction based on Physics-Guided Feature Extraction and domain adaptation
  55. EDAC: Efficient Deployment of Audio Classification Models For COVID-19 Detection
  56. Neural Discovery of Permutation Subgroups
  57. Learning Geometric Representations of Objects via Interaction
  58. A DRL-based Reflection Enhancement Method for RIS-assisted Multi-receiver Communications
  59. PAg-NeRF: Towards fast and efficient end-to-end panoptic 3D representations for agricultural robotics
  60. Stochastic Gradient Descent-like relaxation is equivalent to Metropolis dynamics in discrete optimization and inference problems
  61. MultIOD: Rehearsal-free Multihead Incremental Object Detector
  62. Diff-Privacy: Diffusion-based Face Privacy Protection
  63. Neural Koopman prior for data assimilation
  64. Semantic Latent Decomposition with Normalizing Flows for Face Editing
  65. Experimenting with UD Adaptation of an Unsupervised Rule-based Approach for Sentiment Analysis of Mexican Tourist Texts
  66. Analysing Cross-Lingual Transfer in Low-Resourced African Named Entity Recognition
  67. ImitationNet: Unsupervised Human-to-Robot Motion Retargeting via Shared Latent Space
  68. Comprehensive analysis of synthetic learning applied to neonatal brain MRI segmentation
  69. Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data
  70. Decoupling Common and Unique Representations for Multimodal Self-supervised Learning
  71. The fine print on tempered posteriors
  72. Task-driven Compression for Collision Encoding based on Depth Images
  73. Addressing Feature Imbalance in Sound Source Separation
  74. Can you text what is happening? Integrating pre-trained language encoders into trajectory prediction models for autonomous driving
  75. Class-Incremental Grouping Network for Continual Audio-Visual Learning
  76. Interactive Class-Agnostic Object Counting
  77. Beamforming in Wireless Coded-Caching Systems
  78. Minuteman: Machine and Human Joining Forces in Meeting Summarization
  79. AutoFuse: Automatic Fusion Networks for Deformable Medical Image Registration
  80. CONFLATOR: Incorporating Switching Point based Rotatory Positional Encodings for Code-Mixed Language Modeling
  81. UniKG: A Benchmark and Universal Embedding for Large-Scale Knowledge Graphs
  82. Diving into Darkness: A Dual-Modulated Framework for High-Fidelity Super-Resolution in Ultra-Dark Environments
  83. Enabling Runtime Verification of Causal Discovery Algorithms with Automated Conditional Independence Reasoning (Extended Version)
  84. Brain-inspired Evolutionary Architectures for Spiking Neural Networks
  85. A horizon line annotation tool for streamlining autonomous sea navigation experiments
  86. Gall Bladder Cancer Detection from US Images with Only Image Level Labels
  87. Generalized Graphon Process: Convergence of Graph Frequencies in Stretched Cut Distance
  88. A physics-informed and attention-based graph learning approach for regional electric vehicle charging demand prediction
  89. FusionFormer: A Multi-sensory Fusion in Bird's-Eye-View and Temporal Consistent Transformer for 3D Object Detection
  90. Examining the Effect of Pre-training on Time Series Classification
  91. Towards Better Data Exploitation in Self-Supervised Monocular Depth Estimation
  92. A quantum tug of war between randomness and symmetries on homogeneous spaces
  93. Multi3DRefer: Grounding Text Description to Multiple 3D Objects
  94. HAT: Hybrid Attention Transformer for Image Restoration
  95. Generating Natural Language Queries for More Effective Systematic Review Screening Prioritisation
  96. Detecting Natural Language Biases with Prompt-based Learning
  97. SparseSwin: Swin Transformer with Sparse Transformer Block
  98. Exploring the Law of Numbers: Evidence from China's Real Estate
  99. Quantifying and Attributing the Hallucination of Large Language Models via Association Analysis
  100. Angle Range and Identity Similarity Enhanced Gaze and Head Redirection based on Synthetic data
  101. Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout
  102. Understanding the Impact of Post-Training Quantization on Large Language Models
  103. Phase-Specific Augmented Reality Guidance for Microscopic Cataract Surgery Using Long-Short Spatiotemporal Aggregation Transformer
  104. From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery
  105. Graph-Aware Contrasting for Multivariate Time-Series Classification
  106. Two is Better Than One: Answering Complex Questions by Multiple Knowledge Sources with Generalized Links
  107. CARE: Confidence-rich Autonomous Robot Exploration using Bayesian Kernel Inference and Optimization
  108. Learning Sequential Acquisition Policies for Robot-Assisted Feeding
  109. Does Writing with Language Models Reduce Content Diversity?
  110. Towards Viewpoint Robustness in Bird's Eye View Segmentation
  111. Data Summarization beyond Monotonicity: Non-monotone Two-Stage Submodular Maximization
  112. What's color got to do with it? Face recognition in grayscale
  113. DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning