mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 6 Nov 2023

246 papers

  1. Scalable and Efficient Continual Learning from Demonstration via a Hypernetwork-generated Stable Dynamics ModelOffline RL and imitation learning from data → Robot learning from demonstration
  2. Generative Diffusion Models for Lattice Field TheoryDiffusion models → Diffusion foundations and sampling
  3. Multi-Resolution Diffusion for Privacy-Sensitive Recommender SystemsDiffusion models → Diffusion recommenders
  4. GLaMM: Pixel Grounding Large Multimodal ModelMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  5. Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy OptimizationOffline RL and imitation learning from data → Offline RL algorithms
  6. Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona ModulationLLM safety and security → Jailbreaking
  7. TS-Diffusion: Generating Highly Complex Time Series with Diffusion ModelsDiffusion models → Flow matching, time series and science
  8. Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference ChallengesMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  9. Instructed Language Models with Retrievers Are Powerful Entity LinkersLLM reasoning → Multimodal reasoning
  10. Safurai-Csharp: Harnessing Synthetic Data to improve language-specific Code LLMSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
  11. LDM3D-VR: Latent Diffusion Model for 3D VRDiffusion models → 3D, point cloud and scene generation
  12. ALYMPICS: LLM Agents Meet Game Theory -- Exploring Strategic Decision-Making with AI AgentsLLM agents and tool use → Social simulation and multi-agent debate
  13. DeepInception: Hypnotize Large Language Model to Be JailbreakerLLM safety and security → Jailbreaking
  14. Preserving Privacy in GANs Against Membership Inference AttackLLM safety and security → Membership inference attacks
  15. AnyText: Multilingual Visual Text Generation And EditingDiffusion models → Image generation, text-to-image and editing
  16. GTP-ViT: Efficient Vision Transformers via Graph-based Token PropagationEfficient LLM inference and serving → Token pruning and merging for ViTs
  17. Beyond Words: A Mathematical Framework for Interpreting Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  18. Exploring the Capability of Text-to-Image Diffusion Models with Structural Edge Guidance for Multi-Spectral Satellite Image InpaintingDiffusion models → 3D, point cloud and scene generation
  19. Retrieval-Augmented Code Generation for Universal Information ExtractionRetrieval-augmented generation → RAG for code
  20. Imitation Learning based Alternative Multi-Agent Proximal Policy Optimization for Well-Formed Swarm-Oriented Pursuit AvoidanceOffline RL and imitation learning from data → Imitation learning methods
  21. IR-STP: Enhancing Autonomous Driving with Interaction Reasoning in Spatio-Temporal PlanningEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  22. Co-training and Co-distillation for Quality Improvement and Compression of Language ModelsKnowledge distillation → Knowledge distillation for LLMs
  23. CAME: Competitively Learning a Mixture-of-Experts Model for First-stage RetrievalMixture-of-experts → MoE large language models
  24. From Conceptual Spaces to Quantum Concepts: Formalising and Learning Structured Conceptual Models
  25. Mapping of Land Use and Land Cover (LULC) using EuroSAT and Transfer Learning
  26. The theoretical limits of biometry
  27. COVID-19 Imposes Rethinking of Conferencing -- Environmental Impact Assessment of Artificial Intelligence Conferences
  28. Evolutionary City: Towards a Flexible, Agile and Symbiotic System
  29. A Recent Survey of the Advancements in Deep Learning Techniques for Monkeypox Disease Detection
  30. Performance Prediction of Data-Driven Knowledge summarization of High Entropy Alloys (HEAs) literature implementing Natural Language Processing algorithms
  31. AI Chatbot for Generating Episodic Future Thinking (EFT) Cue Texts for Health
  32. STRIDE: Structure-guided Generation for Inverse Design of Molecules
  33. EControl: Fast Distributed Optimization with Compression and Error Control
  34. GPT4All: An Ecosystem of Open Source Compressed Language Models
  35. Toward Planet-Wide Traffic Camera Calibration
  36. AI-Enabled Unmanned Vehicle-Assisted Reconfigurable Intelligent Surfaces: Deployment, Prototyping, Experiments, and Opportunities
  37. Environmental-Impact Based Multi-Agent Reinforcement Learning
  38. Kindness in Multi-Agent Reinforcement Learning
  39. Online Learning Quantum States with the Logarithmic Loss via VB-FTRL
  40. Distributed Agent-Based Collaborative Learning in Cross-Individual Wearable Sensor-Based Human Activity Recognition
  41. Can LLMs Follow Simple Rules?
  42. Leveraging sinusoidal representation networks to predict fMRI signals from EEG
  43. CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers
  44. STONYBOOK: A System and Resource for Large-Scale Analysis of Novels
  45. Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text Communication
  46. Testing RadiX-Nets: Advances in Viable Sparse Topologies
  47. Multimodal Stress Detection Using Facial Landmarks and Biometric Signals
  48. Brief for the Canada House of Commons Study on the Implications of Artificial Intelligence Technologies for the Canadian Labor Force: Generative Artificial Intelligence Shatters Models of AI and Labor
  49. Dimensions of Online Conflict: Towards Modeling Agonism
  50. Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search
  51. Unsupervised Region-Growing Network for Object Segmentation in Atmospheric Turbulence
  52. Cal-DETR: Calibrated Detection Transformer
  53. Inclusive Portraits: Race-Aware Human-in-the-Loop Technology
  54. Measuring Adversarial Datasets
  55. Low-Rank MDPs with Continuous Action Spaces
  56. Sea You Later: Metadata-Guided Long-Term Re-Identification for UAV-Based Multi-Object Tracking
  57. Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data
  58. Context Unlocks Emotions: Text-based Emotion Classification Dataset Auditing with Large Language Models
  59. United We Stand, Divided We Fall: UnityGraph for Unsupervised Procedure Learning from Videos
  60. InterVLS: Interactive Model Understanding and Improvement with Vision-Language Surrogates
  61. Leveraging point annotations in segmentation learning with boundary loss
  62. PcLast: Discovering Plannable Continuous Latent States
  63. Quantifying Uncertainty in Natural Language Explanations of Large Language Models
  64. The Fairness Stitch: Unveiling the Potential of Model Stitching in Neural Network De-Biasing
  65. A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning
  66. Brain Networks and Intelligence: A Graph Neural Network Based Approach to Resting State fMRI Data
  67. High-resolution power equipment recognition based on improved self-attention
  68. SoundCam: A Dataset for Finding Humans Using Room Acoustics
  69. Spoken Dialogue System for Medical Prescription Acquisition on Smartphone: Development, Corpus and Evaluation
  70. MFAAN: Unveiling Audio Deepfakes with a Multi-Feature Authenticity Network
  71. Astrocytes as a mechanism for meta-plasticity and contextually-guided network function
  72. Predicting Age from White Matter Diffusivity with Residual Learning
  73. In-Context Exemplars as Clues to Retrieving from Large Associative Memory
  74. Asynchronous Local Computations in Distributed Bayesian Learning
  75. Leveraging High-Level Synthesis and Large Language Models to Generate, Simulate, and Deploy a Uniform Random Number Generator Hardware Design
  76. CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations
  77. Multi Loss-based Feature Fusion and Top Two Voting Ensemble Decision Strategy for Facial Expression Recognition in the Wild
  78. FinA: Fairness of Adverse Effects in Decision-Making of Human-Cyber-Physical-System
  79. ProPath: Disease-Specific Protein Language Model for Variant Pathogenicity
  80. TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding
  81. GQKVA: Efficient Pre-training of Transformers by Grouping Queries, Keys, and Values
  82. An AI-Guided Data Centric Strategy to Detect and Mitigate Biases in Healthcare Datasets
  83. Using Symmetries to Lift Satisfiability Checking
  84. Efficient and Low-Footprint Object Classification using Spatial Contrast
  85. Hopfield-Enhanced Deep Neural Networks for Artifact-Resilient Brain State Decoding
  86. Text Augmentations with R-drop for Classification of Tweets Self Reporting Covid-19
  87. Personalizing Keyword Spotting with Speaker Information
  88. Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical Approaches
  89. PowerFlowNet: Power Flow Approximation Using Message Passing Graph Neural Networks
  90. A Generative Neural Network Approach for 3D Multi-Criteria Design Generation and Optimization of an Engine Mount for an Unmanned Air Vehicle
  91. Discret2Di -- Deep Learning based Discretization for Model-based Diagnosis
  92. ViDa: Visualizing DNA hybridization trajectories with biophysics-informed deep graph embeddings
  93. DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-cell Clustering
  94. Visualizing DNA reaction trajectories with deep graph embedding approaches
  95. Training Multi-layer Neural Networks on Ising Machine
  96. Exploitation-Guided Exploration for Semantic Embodied Navigation
  97. SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis
  98. CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding
  99. Rethinking Evaluation Metrics of Open-Vocabulary Segmentaion
  100. Differentiable Cutting-plane Layers for Mixed-integer Linear Optimization
All 246
  1. Long-Term Invariant Local Features via Implicit Cross-Domain Correspondences
  2. Multitask Kernel-based Learning with First-Order Logic Constraints
  3. FLOGA: A machine learning ready dataset, a benchmark and a novel deep learning model for burnt area mapping with Sentinel-2
  4. Cross-Image Attention for Zero-Shot Appearance Transfer
  5. Learning Hard-Constrained Models with One Sample
  6. A Robust Bi-Directional Algorithm For People Count In Crowded Areas
  7. Tackling Concept Shift in Text Classification using Entailment-style Modeling
  8. DAIL: Data Augmentation for In-Context Learning via Self-Paraphrase
  9. FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry data
  10. Practical considerations for variable screening in the super learner
  11. A Single 2D Pose with Context is Worth Hundreds for 3D Human Pose Estimation
  12. Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance
  13. Neural Structure Learning with Stochastic Differential Equations
  14. Ziya2: Data-centric Learning is All LLMs Need
  15. Learning Reusable Manipulation Strategies
  16. S-LoRA: Serving Thousands of Concurrent LoRA Adapters
  17. Risk of Transfer Learning and its Applications in Finance
  18. Discretizing Numerical Attributes: An Analysis of Human Perceptions
  19. HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness
  20. From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach
  21. Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency
  22. Parameter-Agnostic Optimization under Relaxed Smoothness
  23. Advancing Post Hoc Case Based Explanation with Feature Highlighting
  24. Approximating Langevin Monte Carlo with ResNet-like Neural Network architectures
  25. Machine Learning-Based Tea Leaf Disease Detection: A Comprehensive Review
  26. Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources
  27. p-Laplacian Transformer
  28. Navigating Scaling Laws: Compute Optimality in Adaptive Model Training
  29. An Efficient Self-Supervised Cross-View Training For Sentence Embedding
  30. Segmentation of Drone Collision Hazards in Airborne RADAR Point Clouds Using PointNet
  31. Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data
  32. Mini Minds: Exploring Bebeshka and Zlata Baby Models
  33. PainSeeker: An Automated Method for Assessing Pain in Rats Through Facial Expressions
  34. Spatial Process Approximations: Assessing Their Necessity
  35. LCPR: A Multi-Scale Attention-Based LiDAR-Camera Fusion Network for Place Recognition
  36. Stable Linear Subspace Identification: A Machine Learning Approach
  37. Pseudo-Labeling for Domain-Agnostic Bangla Automatic Speech Recognition
  38. Few-shot Learning using Data Augmentation and Time-Frequency Transformation for Time Series Classification
  39. Model-based Counterfactual Generator for Gender Bias Mitigation
  40. Nexus at ArAIEval Shared Task: Fine-Tuning Arabic Language Models for Propaganda and Disinformation Detection
  41. ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic Text
  42. 1D-Convolutional transformer for Parkinson disease diagnosis from gait
  43. Frequency Domain Decomposition Translation for Enhanced Medical Image Translation Using GANs
  44. An Examination of the Alleged Privacy Threats of Confidence-Ranked Reconstruction of Census Microdata
  45. Convergence Analysis of Sequential Federated Learning on Heterogeneous Data
  46. Architectural Sweet Spots for Modeling Human Label Variation by the Example of Argument Quality: It's Best to Relate Perspectives!
  47. Asymmetric Masked Distillation for Pre-Training Small Foundation Models
  48. Animating NeRFs from Texture Space: A Framework for Pose-Dependent Rendering of Human Performances
  49. End-to-end Material Thermal Conductivity Prediction through Machine Learning
  50. Decoding Neuronal Networks: A Reservoir Computing Approach for Predicting Connectivity and Functionality
  51. Nonparametric modeling of the composite effect of multiple nutrients on blood glucose dynamics
  52. Findings of the WMT 2023 Shared Task on Discourse-Level Literary Translation: A Fresh Orb in the Cosmos of LLMs
  53. TAMPAR: Visual Tampering Detection for Parcel Logistics in Postal Supply Chains
  54. Algebraic Dynamical Systems in Machine Learning
  55. RELand: Risk Estimation of Landmines via Interpretable Invariant Risk Minimization
  56. Injecting Categorical Labels and Syntactic Information into Biomedical NER
  57. Unified Multi-modal Unsupervised Representation Learning for Skeleton-based Action Understanding
  58. Pelvic floor MRI segmentation based on semi-supervised deep learning
  59. Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
  60. Weight-Sharing Regularization
  61. Equivariance Is Not All You Need: Characterizing the Utility of Equivariant Graph Neural Networks for Particle Physics Tasks
  62. Persistent Homology for High-dimensional Data Based on Spectral Methods
  63. A Simple yet Efficient Ensemble Approach for AI-generated Text Detection
  64. Quantifying the value of information transfer in population-based SHM
  65. A survey and classification of face alignment methods based on face models
  66. CogVLM: Visual Expert for Pretrained Language Models
  67. BanLemma: A Word Formation Dependent Rule and Dictionary Based Bangla Lemmatizer
  68. SugarViT -- Multi-objective Regression of UAV Images with Vision Transformers and Deep Label Distribution Learning Demonstrated on Disease Severity Prediction in Sugar Beet
  69. SoK: Memorisation in machine learning
  70. A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection
  71. OrthoNets: Orthogonal Channel Attention Networks
  72. Forest aboveground biomass estimation using GEDI and earth observation data through attention-based deep learning
  73. Imaging through multimode fibres with physical prior
  74. Learned layered coding for Successive Refinement in the Wyner-Ziv Problem
  75. Maximal Consistent Subsystems of Max-T Fuzzy Relational Equations
  76. Zero-shot Bilingual App Reviews Mining with Large Language Models
  77. GLEN: Generative Retrieval via Lexical Index Learning
  78. LitSumm: Large language models for literature summarisation of non-coding RNAs
  79. DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework
  80. Masking Hyperspectral Imaging Data with Pretrained Models
  81. MixUp-MIL: A Study on Linear & Multilinear Interpolation-Based Data Augmentation for Whole Slide Image Classification
  82. Grouping Local Process Models
  83. Validity problems in clinical machine learning by indirect data labeling using consensus definitions
  84. On regularized polynomial functional regression
  85. Detecting Agreement in Multi-party Conversational AI
  86. Detecting agreement in multi-party dialogue: evaluating speaker diarisation versus a procedural baseline to enhance user engagement
  87. COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving
  88. Estimating treatment effects from single-arm trials via latent-variable modeling
  89. Variational Weighting for Kernel Density Ratios
  90. Strong statistical parity through fair synthetic data
  91. Visual-information-driven model for crowd simulation using temporal convolutional network
  92. Zero-Shot Enhancement of Low-Light Image Based on Retinex Decomposition
  93. NEURO HAND: A weakly supervised Hierarchical Attention Network for interpretable neuroimaging abnormality Detection
  94. Diffusion-based Radiotherapy Dose Prediction Guided by Inter-slice Aware Structure Encoding
  95. Hacking Cryptographic Protocols with Advanced Variational Quantum Attacks
  96. Towards a Transformer-Based Reverse Dictionary Model for Quality Estimation of Definitions
  97. TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications
  98. Adapting Pre-trained Generative Models for Extractive Question Answering
  99. Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination
  100. In-Context Learning for Knowledge Base Question Answering for Unmanned Systems based on Large Language Models
  101. Multi-view learning for automatic classification of multi-wavelength auroral images
  102. PhoGPT: Generative Pre-training for Vietnamese
  103. The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning
  104. Contrastive Multi-Level Graph Neural Networks for Session-based Recommendation
  105. Deep Image Semantic Communication Model for Artificial Intelligent Internet of Things
  106. Truly Scale-Equivariant Deep Nets with Fourier Layers
  107. Edge2Node: Reducing Edge Prediction to Node Classification
  108. Virtual Action Actor-Critic Framework for Exploration (Student Abstract)
  109. Benchmarking Deep Facial Expression Recognition: An Extensive Protocol with Balanced Dataset in the Wild
  110. Distributed Matrix-Based Sampling for Graph Neural Network Training
  111. HDGL: A hierarchical dynamic graph representation learning model for brain disorder classification
  112. Transduce and Speak: Neural Transducer for Text-to-Speech with Semantic Token Prediction
  113. Human as Points: Explicit Point-based 3D Human Reconstruction from Single-view RGB Images
  114. AdaFlood: Adaptive Flood Regularization
  115. Stacked Autoencoder Based Feature Extraction and Superpixel Generation for Multifrequency PolSAR Image Classification
  116. Deep Learning-Empowered Semantic Communication Systems with a Shared Knowledge Base
  117. SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data
  118. MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization
  119. Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling
  120. Inner-IoU: More Effective Intersection over Union Loss with Auxiliary Bounding Box
  121. Dynamic Neural Fields for Learning Atlases of 4D Fetal MRI Time-series
  122. OVIR-3D: Open-Vocabulary 3D Instance Retrieval Without Training on 3D Data
  123. FocusTune: Tuning Visual Localization through Focus-Guided Sampling
  124. Sample Complexity Bounds for Estimating Probability Divergences under Invariances
  125. Temporal Shift -- Multi-Objective Loss Function for Improved Anomaly Fall Detection
  126. Less than One-shot: Named Entity Recognition via Extremely Weak Supervision
  127. Neural-based Compression Scheme for Solar Image Data
  128. Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative Decoding
  129. Consistent4D: Consistent 360deg Dynamic Object Generation from Monocular Video
  130. Kinematic-aware Prompting for Generalizable Articulated Object Manipulation with LLMs
  131. Saturn: Efficient Multi-Large-Model Deep Learning
  132. Barron Space for Graph Convolution Neural Networks
  133. Flexible Multi-Generator Model with Fused Spatiotemporal Graph for Trajectory Prediction
  134. Prioritized Propagation in Graph Neural Networks
  135. SemanticTopoLoop: Semantic Loop Closure With 3D Topological Graph Based on Quadric-Level Object Map
  136. On Subagging Boosted Probit Model Trees
  137. InstructPix2NeRF: Instructed 3D Portrait Editing from a Single Image
  138. Mesh Neural Cellular Automata
  139. Signal Processing Meets SGD: From Momentum to Filter
  140. APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation
  141. Efficient, Self-Supervised Human Pose Estimation with Inductive Prior Tuning
  142. QualEval: Qualitative Evaluation for Model Improvement
  143. Tailoring Self-Rationalizers with Multi-Reward Distillation
  144. Fast and Interpretable Face Identification for Out-Of-Distribution Data Using Vision Transformers
  145. Incorporating Worker Perspectives into MTurk Annotation Practices for NLP
  146. On the Intersection of Self-Correction and Trust in Language Models