mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 17 Jul 2023

239 papers

  1. Measuring Faithfulness in Chain-of-Thought ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
  2. Domain Knowledge Distillation from Large Language Model: An Empirical Study in the Autonomous Driving DomainKnowledge distillation → Knowledge distillation for LLMs
  3. Question Decomposition Improves the Faithfulness of Model-Generated ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  4. Abductive Reasoning with the GPT-4 Language Model: Case studies from criminal investigation, medical practice, scientific researchLLM reasoning → Reasoning benchmarks and evaluation
  5. Autoregressive Diffusion Model for Graph GenerationDiffusion models → Flow matching, time series and science
  6. GEAR: Augmenting Language Models with Generalizable and Efficient Tool ResolutionLLM agents and tool use → Tool learning and function calling
  7. Diffusion Models Beat GANs on Image ClassificationDiffusion models → Diffusion foundations and sampling
  8. Flow Matching in Latent SpaceDiffusion models → Flow matching, time series and science
  9. SEMI-DiffusionInst: A Diffusion Model Based Approach for Semiconductor Defect Classification and SegmentationDiffusion models → Flow matching, time series and science
  10. Identity-Preserving Aging of Face Images via Latent Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  11. BuboGPT: Enabling Visual Grounding in Multi-Modal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  12. Synthetic Lagrangian Turbulence by Generative Diffusion ModelsDiffusion models → Flow matching, time series and science
  13. Does Visual Pretraining Help End-to-End Reasoning?LLM reasoning → Multimodal reasoning
  14. BUS:Efficient and Effective Vision-language Pre-training with Bottom-Up Patch SummarizationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  15. Cumulative Spatial Knowledge Distillation for Vision TransformersKnowledge distillation → General knowledge distillation methods
  16. Latent Jailbreak: A Benchmark for Evaluating Text Safety and Output Robustness of Large Language ModelsLLM safety and security → Jailbreaking
  17. Not All Steps are Created Equal: Selective Diffusion Distillation for Image ManipulationDiffusion models → Image generation, text-to-image and editing
  18. DOT: A Distillation-Oriented TrainerKnowledge distillation → General knowledge distillation methods
  19. Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic TranscriptsKnowledge distillation → Speech and audio distillation
  20. Unstoppable Attack: Label-Only Model Inversion via Conditional Diffusion ModelDiffusion models → Robustness, privacy and adversarial aspects
  21. M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry OptimizationMultimodal LLMs / vision-language models → Medical vision-language models
  22. Legal Syllogism Prompting: Teaching Large Language Models for Legal Judgment PredictionLLM reasoning → Reasoning for agents, planning and code
  23. Systematic Testing of the Data-Poisoning Robustness of KNNLLM safety and security → Backdoor and data poisoning attacks
  24. Complexity Matters: Rethinking the Latent Space for Generative ModelingDiffusion models → Diffusion foundations and sampling
  25. Towards Stealthy Backdoor Attacks against Speech Recognition via Elements of SoundLLM safety and security → Audio jailbreaks and speech backdoors
  26. Unbiased Image Synthesis via Manifold Guidance in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  27. Noise removal methods on ambulatory EEG: A Survey
  28. Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats
  29. Large-Scale Evaluation of Topic Models and Dimensionality Reduction Methods for 2D Text Spatialization
  30. On the Real-Time Semantic Segmentation of Aphid Clusters in the Wild
  31. A DPLL(T) Framework for Verifying Deep Neural Networks
  32. AI empowering research: 10 ways how science can benefit from AI
  33. Hyperparameter Tuning Cookbook: A guide for scikit-learn, PyTorch, river, and spotPython
  34. Hidden Markov Models with Random Restarts vs Boosting for Malware Detection
  35. Efficient selective attention LSTM for well log curve synthesis
  36. A Machine Learning based Empirical Evaluation of Cyber Threat Actors High Level Attack Patterns over Low level Attack Patterns in Attributing Attacks
  37. RCM-Fusion: Radar-Camera Multi-Level Fusion for 3D Object Detection
  38. Automated Action Model Acquisition from Narrative Texts
  39. Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey)
  40. Evaluating and Enhancing Robustness of Deep Recommendation Systems Against Hardware Errors
  41. Quarl: A Learning-Based Quantum Circuit Optimizer
  42. Rethinking Intersection Over Union for Small Object Detection in Few-Shot Regime
  43. Study of Vision Transformers for Covid-19 Detection from Chest X-rays
  44. How do software citation formats evolve over time? A longitudinal analysis of R programming language packages
  45. A benchmark of categorical encoders for binary classification
  46. Efficient Prediction of Peptide Self-assembly through Sequential and Graphical Encoding
  47. Basal-Bolus Advisor for Type 1 Diabetes (T1D) Patients Using Multi-Agent Reinforcement Learning (RL) Methodology
  48. Evaluating unsupervised disentangled representation learning for genomic discovery and disease risk prediction
  49. The Predicted-Updates Dynamic Model: Offline, Incremental, and Decremental to Fully Dynamic Transformations
  50. Examining the Effects of Degree Distribution and Homophily in Graph Learning Models
  51. Modular Neural Network Approaches for Surgical Image Recognition
  52. Disentangling Node Attributes from Graph Topology for Improved Generalizability in Link Prediction
  53. AI for the Generation and Testing of Ideas Towards an AI Supported Knowledge Development Environment
  54. Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation
  55. Latent Space Representations of Neural Algorithmic Reasoners
  56. An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient
  57. Meta-Value Learning: a General Framework for Learning with Learning Awareness
  58. Curriculum Learning for Graph Neural Networks: A Multiview Competence-based Approach
  59. An Admissible Shift-Consistent Method for Recommender Systems
  60. LiDAR-BEVMTN: Real-Time LiDAR Bird's-Eye View Multi-Task Perception Network for Autonomous Driving
  61. Privacy-preserving patient clustering for personalized federated learning
  62. A Covariate-Adjusted Homogeneity Test with Application to Facial Recognition Accuracy Assessment
  63. Bayesian Safe Policy Learning with Chance Constrained Optimization: Application to Military Security Assessment during the Vietnam War
  64. DARTS: Double Attention Reference-based Transformer for Super-resolution
  65. A Meta-Learning Based Precoder Optimization Framework for Rate-Splitting Multiple Access
  66. Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates
  67. Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge
  68. Co(ve)rtex: ML Models as storage channels and their (mis-)applications
  69. Operator Guidance Informed by AI-Augmented Simulations
  70. Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels
  71. Anomaly Detection with Selective Dictionary Learning
  72. Towards Automated Design of Riboswitches
  73. regulAS: A Bioinformatics Tool for the Integrative Analysis of Alternative Splicing Regulome using RNA-Seq data
  74. Reduced Kernel Dictionary Learning
  75. Classification with Incoherent Kernel Dictionary Learning
  76. Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning
  77. Generative AI in Agriculture: Creating Image Datasets Using DALL.E's Advanced Large Language Model Capabilities
  78. The FathomNet2023 Competition Dataset
  79. Similarity Min-Max: Zero-Shot Day-Night Domain Adaptation
  80. Reflections from the Workshop on AI-Assisted Decision Making for Conservation
  81. UPSCALE: Unconstrained Channel Pruning
  82. A mixed policy to improve performance of language models on math problems
  83. Quality Assessment of Photoplethysmography Signals For Cardiovascular Biomarkers Monitoring Using Wearable Devices
  84. Video-Mined Task Graphs for Keystep Recognition in Instructional Videos
  85. A Novel Application of Conditional Normalizing Flows: Stellar Age Inference with Gyrochronology
  86. Learning to Count without Annotations
  87. Revisiting Scene Text Recognition: A Data Perspective
  88. Certifying the Fairness of KNN in the Presence of Dataset Bias
  89. Where Did the President Visit Last Week? Detecting Celebrity Trips from News Articles
  90. ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development
  91. AlpaGasus: Training A Better Alpaca with Fewer Data
  92. Fast model inference and training on-board of Satellites
  93. Pair then Relation: Pair-Net for Panoptic Scene Graph Generation
  94. NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth Estimation
  95. A Multiobjective Reinforcement Learning Framework for Microgrid Energy Management
  96. FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning
  97. COLLIE: Systematic Construction of Constrained Text Generation Tasks
  98. An R package for parametric estimation of causal effects
  99. A Rubik's Cube inspired approach to Clifford synthesis
  100. Implementation of a perception system for autonomous vehicles using a detection-segmentation network in SoC FPGA
All 239
  1. Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations
  2. TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT
  3. CohortFinder: an open-source tool for data-driven partitioning of biomedical image cohorts to yield robust machine learning models
  4. Quaternion Convolutional Neural Networks: Current Advances and Future Directions
  5. Neural Image Compression: Generalization, Robustness, and Spectral Biases
  6. Multilingual Speech-to-Speech Translation into Multiple Target Languages
  7. Corruptions of Supervised Learning Problems: Typology and Mitigations
  8. LearnedSort as a learning-augmented SampleSort: Analysis and Parallelization
  9. PolyGNN: Polyhedron-based Graph Neural Network for 3D Building Reconstruction from Point Clouds
  10. Deficiency-Aware Masked Transformer for Video Inpainting
  11. Retentive Network: A Successor to Transformer for Large Language Models
  12. Understanding the impacts of crop diversification in the context of climate change: a machine learning approach
  13. Temporal and Geographical Analysis of Real Economic Activities in the Bitcoin Blockchain
  14. Benchmarking fixed-length Fingerprint Representations across different Embedding Sizes and Sensor Types
  15. Overlapping Batch Confidence Intervals on Statistical Functionals Constructed from Time Series: Application to Quantiles, Optimization, and Estimation
  16. Glamour muscles: why having a body is not what it means to be embodied
  17. Multimodal Diffusion Segmentation Model for Object Segmentation from Manipulation Instructions
  18. Artificial Intelligence for the Electron Ion Collider (AI4EIC)
  19. Snapshot Spectral Clustering -- a costless approach to deep clustering ensembles generation
  20. Syntax-Aware Complex-Valued Neural Machine Translation
  21. The Resume Paradox: Greater Language Differences, Smaller Pay Gaps
  22. Scale-Aware Modulation Meet Transformer
  23. A Study on the Performance of Generative Pre-trained Transformer (GPT) in Simulating Depressed Individuals on the Standardized Depressive Symptom Scale
  24. FedCME: Client Matching and Classifier Exchanging to Handle Data Heterogeneity in Federated Learning
  25. Revisiting the Robustness of the Minimum Error Entropy Criterion: A Transfer Learning Case Study
  26. Shaping New Norms for AI
  27. Improving Data Efficiency for Plant Cover Prediction with Label Interpolation and Monte-Carlo Cropping
  28. Nonlinear optical encoding enabled by recurrent linear scattering
  29. Machine-Learning-based Colorectal Tissue Classification via Acoustic Resolution Photoacoustic Microscopy
  30. On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
  31. Reconstructed Convolution Module Based Look-Up Tables for Efficient Image Super-Resolution
  32. Discovering collective narratives shifts in online discussions
  33. Variational Probabilistic Fusion Network for RGB-T Semantic Segmentation
  34. Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images
  35. Nonlinear Processing with Linear Optics
  36. LuckyMera: a Modular AI Framework for Building Hybrid NetHack Agents
  37. Multi-Domain Learning with Modulation Adapters
  38. Image Captions are Natural Prompts for Text-to-Image Models
  39. Results on Counterfactual Invariance
  40. Covariate shift in nonparametric regression with Markovian design
  41. Kernel-Based Testing for Single-Cell Differential Analysis
  42. Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients
  43. Can We Trust Race Prediction?
  44. SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator
  45. Fairness in KI-Systemen
  46. Cross Feature Selection to Eliminate Spurious Interactions and Single Feature Dominance Explainable Boosting Machines
  47. Navigating Fairness Measures and Trade-Offs
  48. Differentiable Transportation Pruning
  49. Derivation-Graph-Based Characterizations of Decidable Existential Rule Sets
  50. SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training
  51. A Fast Task Offloading Optimization Framework for IRS-Assisted Multi-Access Edge Computing System
  52. EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation
  53. Clarifying the Half Full or Half Empty Question: Multimodal Container Classification
  54. Riesz feature representation: scale equivariant scattering network for classification tasks
  55. Generalizable Classification of UHF Partial Discharge Signals in Gas-Insulated HVDC Systems Using Neural Networks
  56. Towards eXplainable AI for Mobility Data Science
  57. Domain Adaptation using Silver Standard Masks for Lateral Ventricle Segmentation in FLAIR MRI
  58. SBMLtoODEjax: Efficient Simulation and Optimization of Biological Network Models in JAX
  59. Dense Affinity Matching for Few-Shot Segmentation
  60. From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs
  61. Long-range Meta-path Search on Large-scale Heterogeneous Graphs
  62. Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems
  63. Systematic Comparison of Software Agents and Digital Twins: Differences, Similarities, and Synergies in Industrial Production
  64. Divide&Classify: Fine-Grained Classification for City-Wide Visual Place Recognition
  65. Enhancing Supervised Learning with Contrastive Markings in Neural Machine Translation Training
  66. Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning
  67. Active Learning for Object Detection with Non-Redundant Informative Sampling
  68. Neurosymbolic AI for Reasoning on Biomedical Knowledge Graphs
  69. Vocoder drift compensation by x-vector alignment in speaker anonymisation
  70. A Novel Multiagent Flexibility Aggregation Framework
  71. CLIP-Guided StyleGAN Inversion for Text-Driven Real Image Editing
  72. On the application of Large Language Models for language teaching and assessment technology
  73. Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection
  74. Dynamic Snake Convolution based on Topological Geometric Constraints for Tubular Structure Segmentation
  75. Tabular Machine Learning Methods for Predicting Gas Turbine Emissions
  76. Distributed bundle adjustment with block-based sparse matrix compression for super large scale datasets
  77. Predicting Battery Lifetime Under Varying Usage Conditions from Early Aging Data
  78. Gender mobility in the labor market with skills-based matching models
  79. Statistical Mechanics of Learning via Reverberation in Bidirectional Associative Memories
  80. Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML
  81. Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach
  82. Self-supervised Monocular Depth Estimation: Let's Talk About The Weather
  83. Box-DETR: Understanding and Boxing Conditional Spatial Queries
  84. Zero-th Order Algorithm for Softmax Attention Optimization
  85. Neural Modulation Fields for Conditional Cone Beam Neural Tomography
  86. Adaptive Local Basis Functions for Shape Completion
  87. Gaussian processes for Bayesian inverse problems associated with linear partial differential equations
  88. Multi-Task Cross-Modality Attention-Fusion for 2D Object Detection
  89. RAYEN: Imposition of Hard Convex Constraints on Neural Networks
  90. Analyzing the Impact of Adversarial Examples on Explainable Machine Learning
  91. A Secure Aggregation for Federated Learning on Long-Tailed Data
  92. Soft Curriculum for Learning Conditional GANs with Noisy-Labeled and Uncurated Unlabeled Data
  93. Airway Label Prediction in Video Bronchoscopy: Capturing Temporal Dependencies Utilizing Anatomical Knowledge
  94. AltFreezing for More General Video Face Forgery Detection
  95. Bridging the Gap: Multi-Level Cross-Modality Joint Alignment for Visible-Infrared Person Re-Identification
  96. IterLara: A Turing Complete Algebra for Big Data, AI, Scientific Computing, and Database
  97. LogPr'ecis: Unleashing Language Models for Automated Malicious Log Analysis
  98. A Novel Multi-Task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images
  99. Efficient Computation of Counterfactual Bounds
  100. Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models
  101. GBT: Two-stage transformer framework for non-stationary time series forecasting
  102. ShiftNAS: Improving One-shot NAS via Probability Shift
  103. CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation
  104. Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity
  105. Combiner and HyperCombiner Networks: Rules to Combine Multimodality MR Images for Prostate Cancer Localisation
  106. Adversarial Attacks on Traffic Sign Recognition: A Survey
  107. ChatGPT is Good but Bing Chat is Better for Vietnamese Students
  108. Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network
  109. Extreme Image Compression using Fine-tuned VQGANs
  110. Hierarchical Spatiotemporal Transformers for Video Object Segmentation
  111. MuLMINet: Multi-Layer Multi-Input Transformer Network with Weighted Loss
  112. Extending the Frontier of ChatGPT: Code Generation and Debugging
  113. Large-Scale Person Detection and Localization using Overhead Fisheye Cameras
  114. Random Boxes Are Open-world Object Detectors
  115. PAT: Parallel Attention Transformer for Visual Question Answering in Vietnamese
  116. Convex Bi-Level Optimization Problems with Non-smooth Outer Objective Function
  117. Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting
  118. Lifted Sequential Planning with Lazy Constraint Generation Solvers
  119. Unified Open-Vocabulary Dense Visual Prediction
  120. A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection
  121. Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox
  122. ROFusion: Efficient Object Detection using Hybrid Point-wise Radar-Optical Fusion
  123. Learning for Counterfactual Fairness from Observational Data
  124. Video Frame Interpolation with Stereo Event and Intensity Camera
  125. Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning?
  126. Harnessing Scalable Transactional Stream Processing for Managing Large Language Models [Vision]
  127. FRANC: A Lightweight Framework for High-Quality Code Generation
  128. BASS: Block-wise Adaptation for Speech Summarization
  129. Forward Laplacian: A New Computational Framework for Neural Network-based Variational Monte Carlo
  130. Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection
  131. A Quantum Convolutional Neural Network Approach for Object Detection and Classification
  132. On Point Affiliation in Feature Upsampling
  133. Towards Self-Assembling Artificial Neural Networks through Neural Developmental Programs
  134. HOPE: High-order Polynomial Expansion of Black-box Neural Networks
  135. Mini-Giants: "Small" Language Models and Open Source Win-Win
  136. An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
  137. Zero-Shot Image Harmonization with Generative Model Prior
  138. Using an LLM to Help With Code Understanding
  139. Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models