mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 7 Nov 2023

256 papers

  1. 3DiffTection: 3D Object Detection with Geometry-Aware Diffusion FeaturesDiffusion models → Image generation, text-to-image and editing
  2. Watermarks in the Sand: Impossibility of Strong Watermarking for Generative ModelsLLM safety and security → Watermarking generated content and models
  3. Evaluating the Effectiveness of Retrieval-Augmented Large Language Models in Scientific Document ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +1
  4. KNIMEZoBot: Enhancing Literature Review with Zotero and KNIME OpenAI Integration using Retrieval-Augmented GenerationRetrieval-augmented generation → Agentic RAG, agents and memory
  5. Adaptive Stochastic Nonlinear Model Predictive Control with Look-ahead Deep Reinforcement Learning for Autonomous Vehicle Motion ControlEnd-to-end autonomous driving → Reinforcement learning for driving
  6. mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality CollaborationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  7. Everything of Thoughts: Defying the Law of Penrose Triangle for Thought GenerationLLM reasoning → Prompting and chain-of-thought reasoning
  8. DDPET-3D: Dose-aware Diffusion Model for 3D Ultra Low-dose PET ImagingDiffusion models → Medical imaging and segmentation
  9. Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case StudyMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  10. Enhancing LLM Intelligence with ARM-RAG: Auxiliary Rationale Memory for Retrieval Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
  11. Black-Box Prompt Optimization: Aligning Large Language Models without Model TrainingLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  12. I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion ModelsDiffusion models → Video generation
  13. What is Lost in Knowledge Distillation?Knowledge distillation → General knowledge distillation methods
  14. Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language ModelsMechanistic interpretability → Circuits and mechanistic analysis
  15. Imitation learning for sim-to-real transfer of robotic cutting policies based on residual Gaussian process disturbance force modelOffline RL and imitation learning from data → Robot learning from demonstration
  16. Beyond Imitation: Leveraging Fine-grained Quality Signals for AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  17. Data exploitation: multi-task learning of object detection and semantic segmentation on partially annotated dataKnowledge distillation → Detection and dense prediction distillation
  18. AGNES: Abstraction-guided Framework for Deep Neural Networks SecurityLLM safety and security → Backdoor and data poisoning attacks
  19. Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative MiningLLM reasoning → Multimodal reasoning +1
  20. Improving the Effectiveness of Deep Generative DataDiffusion models → Diffusion foundations and sampling
  21. Formulating Discrete Probability Flow Through Optimal TransportDiffusion models → Diffusion foundations and sampling
  22. Supervised domain adaptation for building extraction from off-nadir aerial imagesKnowledge distillation → Detection and dense prediction distillation
  23. When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference AttacksLLM safety and security → Membership inference attacks
  24. Reducing Spatial Fitting Error in Distillation of Denoising Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  25. On the Impact of Overparameterization on the Training of a Shallow Neural Network in High DimensionsKnowledge distillation → General knowledge distillation methods
  26. Meta-Adapter: An Online Few-shot Learner for Vision-Language ModelMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  27. 3DifFusionDet: Diffusion Model for 3D Object Detection with Robust LiDAR-Camera FusionDiffusion models → Image generation, text-to-image and editing
  28. Leveraging Structured Information for Explainable Multi-hop Question Answering and ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
  29. A Novel Variational Lower Bound for Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning
  30. Context Shift Reduction for Offline Meta-Reinforcement LearningOffline RL and imitation learning from data → Decision transformers and sequence modeling
  31. TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real TransferWorld models → Embodied and robot world models +1
  32. Transforming Agriculture with Intelligent Data Management and Insights
  33. Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications
  34. Estimating Post-Synaptic Effects for Online Training of Feed-Forward SNNs
  35. Univariate Radial Basis Function Layers: Brain-inspired Deep Neural Layers for Low-Dimensional Inputs
  36. Emulators in JINSP
  37. Dual-Stream Attention Transformers for Sewer Defect Classification
  38. AI for All: Operationalising Diversity and Inclusion Requirements for AI Systems
  39. Standardized Analysis Ready (STAR) data cube for high-resolution Flood mapping using Sentinel-1 data
  40. Benefits and Harms of Large Language Models in Digital Mental Health
  41. Input Reconstruction Attack against Vertical Federated Large Language Models
  42. MatNexus: A Comprehensive Text Mining and Analysis Suite for Materials Discover
  43. Knowledge-Based Support for Adhesive Selection: Will it Stick?
  44. OmniVec: Learning robust representations with cross modal sharing
  45. Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine
  46. A comparative analysis between Conformer-Transducer, Whisper, and wav2vec2 for improving the child speech recognition
  47. Prompt Cache: Modular Attention Reuse for Low-Latency Inference
  48. Evaluating Large Language Models in Ophthalmology
  49. GC-VTON: Predicting Globally Consistent and Occlusion Aware Local Flows with Neighborhood Integrity Preservation for Virtual Try-on
  50. ToP-ToM: Trust-aware Robot Policy with Theory of Mind
  51. Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models
  52. Basis restricted elastic shape analysis on the space of unregistered surfaces
  53. Enhancing Malware Detection by Integrating Machine Learning with Cuckoo Sandbox
  54. Evaluating multiple large language models in pediatric ophthalmology
  55. Syntax-Guided Transformers: Elevating Compositional Generalization and Grounding in Multimodal Environments
  56. Uncovering Intermediate Variables in Transformers using Circuit Probing
  57. A Deep Learning Approach to Video Anomaly Detection using Convolutional Autoencoders
  58. Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks
  59. SaFL: Sybil-aware Federated Learning with Application to Face Recognition
  60. A Taxonomy of Rater Disagreements: Surveying Challenges & Opportunities from the Perspective of Annotating Online Toxicity
  61. InstrumentGen: Generating Sample-Based Musical Instruments From Text
  62. Convex Methods for Constrained Linear Bandits
  63. Efficient Semantic Matching with Hypercolumn Correlation
  64. Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations
  65. Formal Aspects of Language Modeling
  66. Educating for AI Cybersecurity Work and Research: Ethics, Systems Thinking, and Communication Requirements
  67. Extending Machine Learning-Based Early Sepsis Detection to Different Demographics
  68. A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization
  69. Improved Child Text-to-Speech Synthesis through Fastpitch-based Transfer Learning
  70. Class-Incremental Continual Learning for General Purpose Healthcare Models
  71. Lie Point Symmetry and Physics Informed Networks
  72. Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification
  73. Holistic Evaluation of Text-To-Image Models
  74. Compilation of product-formula Hamiltonian simulation via reinforcement learning
  75. CRAB: Assessing the Strength of Causal Relationships Between Real-world Events
  76. Perceptual Quality Improvement in Videoconferencing using Keyframes-based GAN
  77. ETDPC: A Multimodality Framework for Classifying Pages in Electronic Theses and Dissertations
  78. Restoration of Analog Videos Using Swin-UNet
  79. Fully Automated Task Management for Generation, Execution, and Evaluation: A Framework for Fetch-and-Carry Tasks with Natural Language Instructions in Continuous Space
  80. IoT-Based Environmental Control System for Fish Farms with Sensor Integration and Machine Learning Decision Support
  81. Foundational theories of hesitant fuzzy sets and families of hesitant fuzzy sets
  82. Blind Federated Learning via Over-the-Air q-QAM
  83. CNN-Based Structural Damage Detection using Time-Series Sensor Data
  84. MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters
  85. Unifying Structure and Language Semantic for Efficient Contrastive Knowledge Graph Completion with Structured Entity Anchors
  86. Analysis and Applications of Deep Learning with Finite Samples in Full Life-Cycle Intelligence of Nuclear Power Generation
  87. ADFactory: An Effective Framework for Generalizing Optical Flow with Nerf
  88. GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks
  89. HKTGNN: Hierarchical Knowledge Transferable Graph Neural Network-based Supply Chain Risk Assessment
  90. OtterHD: A High-Resolution Multi-modality Model
  91. Towards Garment Sewing Pattern Reconstruction from a Single Image
  92. Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning
  93. Video Instance Matting
  94. Deep Hashing via Householder Quantization
  95. Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves
  96. JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction
  97. Selective Visual Representations Improve Convergence and Generalization for Embodied AI
  98. JaSPICE: Automatic Evaluation Metric Using Predicate-Argument Structures for Image Captioning Models
  99. Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron Calorimeter
  100. SpaDeLeF: A Dataset for Hierarchical Classification of Lexical Functions for Collocations in Spanish
All 256
  1. On Leakage in Machine Learning Pipelines
  2. HADES: Fast Singularity Detection with Local Measure Comparison
  3. Perturbed examples reveal invariances shared by language models
  4. Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization
  5. Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems
  6. Computing Approximate ℓp Sensitivities
  7. A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis
  8. High-fidelity 3D Reconstruction of Plants using Neural Radiance Field
  9. Kernel-, mean- and noise-marginalised Gaussian processes for exoplanet transits and H0 inference
  10. HyperS2V: A Framework for Structural Representation of Nodes in Hyper Networks
  11. Contactless Fingerprint Biometric Anti-Spoofing: An Unsupervised Deep Learning Approach
  12. Multi-resolution Time-Series Transformer for Long-term Forecasting
  13. Modelling Sentiment Analysis: LLMs and data augmentation techniques
  14. Generative learning for nonlinear dynamics
  15. Unveiling Safety Vulnerabilities of Large Language Models
  16. Do Language Models Learn Semantics of Code? A Case Study in Vulnerability Detection
  17. Interactive Semantic Map Representation for Skill-based Visual Object Navigation
  18. DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing Understanding
  19. Multi-Scale Distillation for RGB-D Anomaly Detection on the PD-REAL Dataset
  20. Proceedings of the 5th International Workshop on Reading Music Systems
  21. Personality Style Recognition via Machine Learning: Identifying Anaclitic and Introjective Personality Styles from Patients' Speech
  22. Time-Efficient Reinforcement Learning with Stochastic Stateful Policies
  23. Learning Super-Resolution Ultrasound Localization Microscopy from Radio-Frequency Data
  24. Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps
  25. Do LLMs exhibit human-like response biases? A case study in survey design
  26. Energy-Calibrated VAE with Test Time Free Lunch
  27. LISBET: a machine learning model for the automatic segmentation of social behavior motifs
  28. Multitask Multimodal Prompted Training for Interactive Embodied Task Completion
  29. Can CLIP Help Sound Source Localization?
  30. KPI Extraction from Maintenance Work Orders -- A Comparison of Expert Labeling, Text Classification and AI-Assisted Tagging for Computing Failure Rates of Wind Turbines
  31. Estimator-Coupled Reinforcement Learning for Robust Purely Tactile In-Hand Manipulation
  32. mmFUSION: Multimodal Fusion for 3D Objects Detection
  33. Multi-View Causal Representation Learning with Partial Observability
  34. Feature Space Renormalization for Semi-supervised Learning
  35. Generative AIBIM: An automatic and intelligent structural design pipeline integrating BIM and generative AI
  36. 3D EAGAN: 3D edge-aware attention generative adversarial network for prostate segmentation in transrectal ultrasound images
  37. Extracting human interpretable structure-property relationships in chemistry using XAI and large language models
  38. Reinforcement Learning Fine-tuning of Language Models is Biased Towards More Extractable Features
  39. PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models
  40. Analyzing Near-Infrared Hyperspectral Imaging for Protein Content Regression and Grain Variety Classification Using Bulk References and Varying Grain-to-Background Ratios
  41. Hilbert's projective metric for functions of bounded growth and exponential convergence of Sinkhorn's algorithm
  42. Causal Discovery Under Local Privacy
  43. Discordance Minimization-based Imputation Algorithms for Missing Values in Rating Data
  44. Impact of HPO on AutoML Forecasting Ensembles
  45. Analyzing Film Adaptation through Narrative Alignment
  46. Exploring Dataset-Scale Indicators of Data Quality
  47. Expressivity of ReLU-Networks under Convex Relaxations
  48. A Method to Improve the Performance of Reinforcement Learning Based on the Y Operator for a Class of Stochastic Differential Equation-Based Child-Mother Systems
  49. Joint model for longitudinal and spatio-temporal survival data
  50. The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond
  51. Human-AI Collaboration in Thematic Analysis using ChatGPT: A User Study and Design Recommendations
  52. Exploring Jiu-Jitsu Argumentation for Writing Peer Review Rebuttals
  53. An Initialization Schema for Neuronal Networks on Tabular Data
  54. Bandit Pareto Set Identification: the Fixed Budget Setting
  55. Learned Causal Method Prediction
  56. Topology Only Pre-Training: Towards Generalised Multi-Domain Graph Models
  57. Bias and Diversity in Synthetic-based Face Recognition
  58. Factoring Hate Speech: A New Annotation Framework to Study Hate Speech in Social Media
  59. CeCNN: Copula-enhanced convolutional neural networks in joint prediction of refraction error and axial length based on ultra-widefield fundus images
  60. Fast Sun-aligned Outdoor Scene Relighting based on TensoRF
  61. An Expectation-Realization Model for Metaphor Detection
  62. Cup Curriculum: Curriculum Learning on Model Capacity
  63. Elastic Information Bottleneck
  64. An Analysis of Dialogue Repair in Voice Assistants
  65. CLIP Guided Image-perceptive Prompt Learning for Image Enhancement
  66. The Music Meta Ontology: a flexible semantic model for the interoperability of music metadata
  67. Analysis of NaN Divergence in Training Monocular Depth Estimation Model
  68. Improving Korean NLP Tasks with Linguistically Informed Subword Tokenization and Sub-character Decomposition
  69. FLORA: Fine-grained Low-Rank Architecture Search for Vision Transformer
  70. Structure of universal formulas
  71. RobustMat: Neural Diffusion for Street Landmark Patch Matching under Challenging Environments
  72. Learning-Based Latency-Constrained Fronthaul Compression Optimization in C-RAN
  73. Temporal Graph Representation Learning with Adaptive Augmentation Contrastive
  74. iACOS: Advancing Implicit Sentiment Extraction with Informative and Adaptive Negative Examples
  75. Understanding Tool Discovery and Tool Innovation Using Active Inference
  76. MeVGAN: GAN-based Plugin Model for Video Generation with Applications in Colonoscopy
  77. Sparse Contrastive Learning of Sentence Embeddings
  78. Mini but Mighty: Finetuning ViTs with Mini Adapters
  79. SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation
  80. An Explainable Framework for Machine learning-Based Reactive Power Optimization of Distribution Network
  81. Structure and inference in hypergraphs with node attributes
  82. Improved MDL Estimators Using Fiber Bundle of Local Exponential Families for Non-exponential Families
  83. Aspects of human memory and Large Language Models
  84. OLaLa: Ontology Matching with Large Language Models
  85. Multi-view Information Integration and Propagation for Occluded Person Re-identification
  86. Conversations in Galician: a Large Language Model for an Underrepresented Language
  87. Rethinking and Improving Multi-task Learning for End-to-end Speech Translation
  88. Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models
  89. Noisy Pair Corrector for Dense Retrieval
  90. User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates
  91. Character-Level Bangla Text-to-IPA Transcription Using Transformer Architecture with Sequence Alignment
  92. Language Representation Projection: Can We Transfer Factual Knowledge across Languages in Multilingual Language Models?
  93. Self-MI: Efficient Multimodal Fusion via Self-Supervised Multi-Task Learning with Auxiliary Mutual Information Maximization
  94. UP-NeRF: Unconstrained Pose-Prior-Free Neural Radiance Fields
  95. Scene-Driven Multimodal Knowledge Graph Construction for Embodied AI
  96. CapST: Leveraging Capsule Networks and Temporal Attention for Accurate Model Attribution in Deep-fake Videos
  97. DynaSemble: Dynamic Ensembling of Textual and Structure-Based Models for Knowledge Graph Completion
  98. Filtered Partial Differential Equations: a robust surrogate constraint in physics-informed deep learning framework
  99. Lightweight Portrait Matting via Regional Attention and Refinement
  100. PT-Tuning: Bridging the Gap between Time Series Masked Reconstruction and Forecasting via Prompt Token Tuning
  101. Gender Inflected or Bias Inflicted: On Using Grammatical Gender Cues for Bias Evaluation in Machine Translation
  102. Neuro-GPT: Towards A Foundation Model for EEG
  103. Image change detection with only a few samples
  104. Augmenting Radio Signals with Wavelet Transform for Deep Learning-Based Modulation Recognition
  105. Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds
  106. Manifold learning: what, how, and why
  107. Learning Decentralized Traffic Signal Controllers with Multi-Agent Graph Reinforcement Learning
  108. Multilingual Mathematical Autoformalization
  109. Which is better? Exploring Prompting Strategy For LLM-based Metrics
  110. COOL: A Constraint Object-Oriented Logic Programming Language and its Neural-Symbolic Compilation System
  111. Multiclass Segmentation using Teeth Attention Modules for Dental X-ray Images
  112. Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning
  113. SBCFormer: Lightweight Network Capable of Full-size ImageNet Classification at 1 FPS on Single Board Computers
  114. Enhanced physics-informed neural networks with domain scaling and residual correction methods for multi-frequency elliptic problems
  115. Unsupervised Video Summarization via Iterative Training and Simplified GAN
  116. Leveraging Large Language Models for Automated Proof Synthesis in Rust
  117. deep-REMAP: Parameterization of Stellar Spectra Using Regularized Multi-Task Learning
  118. Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning
  119. Improved weight initialization for deep and narrow feedforward neural network
  120. Learning to Learn for Few-shot Continual Active Learning
  121. A Survey of Large Language Models Attribution
  122. DeepInspect: An AI-Powered Defect Detection for Manufacturing Industries
  123. Inertial Guided Uncertainty Estimation of Feature Correspondence in Visual-Inertial Odometry/SLAM
  124. ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning
  125. LLM as an Art Director (LaDi): Using LLMs to improve Text-to-Media Generators
  126. Loss Balancing for Fair Supervised Learning
  127. Multimodal deep representation learning for quantum cross-platform verification
  128. Mitigating Estimation Errors by Twin TD-Regularized Actor and Critic for Deep Reinforcement Learning
  129. The NeurIPS 2022 Neural MMO Challenge: A Massively Multiagent Competition with Specialization and Trade
  130. Efficient Bottom-Up Synthesis for Programs with Local Variables
  131. Practical Performance Guarantees for Pipelined DNN Inference
  132. Hypothesis Network Planned Exploration for Rapid Meta-Reinforcement Learning Adaptation
  133. Bilingual Corpus Mining and Multistage Fine-Tuning for Improving Machine Translation of Lecture Transcripts
  134. Dissecting the Runtime Performance of the Training, Fine-tuning, and Inference of Large Language Models
  135. Dynamic Non-monotone Submodular Maximization
  136. Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks
  137. Deep Bayesian Reinforcement Learning for Spacecraft Proximity Maneuvers and Docking
  138. Unsupervised convolutional neural network fusion approach for change detection in remote sensing images
  139. CBSiMT: Mitigating Hallucination in Simultaneous Machine Translation with Weighted Prefix-to-Prefix Training
  140. Stable Modular Control via Contraction Theory for Reinforcement Learning
  141. Principles from Clinical Research for NLP Model Generalization
  142. Operational risk quantification of power grids using graph neural network surrogates of the DC OPF
  143. The Linear Representation Hypothesis and the Geometry of Large Language Models
  144. Machine Learning Parameterization of the Multi-scale Kain-Fritsch (MSKF) Convection Scheme
  145. SeRO: Self-Supervised Reinforcement Learning for Recovery from Out-of-Distribution Situations
  146. Image Generation and Learning Strategy for Deep Document Forgery Detection
  147. Instruct Me More! Random Prompting for Visual In-Context Learning
  148. A Physics-Guided Bi-Fidelity Fourier-Featured Operator Learning Framework for Predicting Time Evolution of Drag and Lift Coefficients
  149. Analysis of the User Perception of Chatbots in Education Using A Partial Least Squares Structural Equation Modeling Approach
  150. Innovation and Word Usage Patterns in Machine Learning
  151. CATE Estimation With Potential Outcome Imputation From Local Regression
  152. Random Field Augmentations for Self-Supervised Representation Learning
  153. GNAT: A General Narrative Alignment Tool
  154. Are Words Enough? On the semantic conditioning of affective music generation
  155. Exploring Latent Spaces of Tonal Music using Variational Autoencoders
  156. FusionViT: Hierarchical 3D Object Detection via LiDAR-Camera Vision Transformer Fusion