mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 18 Aug 2023

217 papers

  1. Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price PredictionDiffusion models → Flow matching, time series and science
  2. How susceptible are LLMs to Logical Fallacies?LLM reasoning → Reasoning benchmarks and evaluation
  3. Towards Grounded Visual Spatial Reasoning in Multi-Modal Vision Language ModelsLLM reasoning → Spatial and embodied reasoning +1
  4. Diff2Lip: Audio Conditioned Diffusion Models for Lip-SynchronizationDiffusion models → Audio, speech and music
  5. HumanLiff: Layer-wise 3D Human Generation with Diffusion ModelDiffusion models → 3D, point cloud and scene generation
  6. Guide3D: Create 3D Avatars from Text and Image GuidanceDiffusion models → 3D, point cloud and scene generation
  7. Graph of Thoughts: Solving Elaborate Problems with Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
  8. Red-Teaming Large Language Models using Chain of Utterances for Safety-AlignmentLLM safety and security → Prompt injection and agent security
  9. Tree-of-Mixed-Thought: Combining Fast and Slow Thinking for Multi-hop Visual ReasoningLLM reasoning → Multimodal reasoning
  10. Learning Computational Efficient Bots with Costly FeaturesOffline RL and imitation learning from data → Decision transformers and sequence modeling
  11. Language-Guided Diffusion Model for Visual GroundingDiffusion models → Image generation, text-to-image and editing
  12. StableVideo: Text-driven Consistency-aware Diffusion Video EditingDiffusion models → Video generation
  13. O2-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion ModelDiffusion models → 3D, point cloud and scene generation
  14. WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-InstructLLM reasoning → Mathematical reasoning
  15. PUMGPT: A Large Vision-Language Model for Product UnderstandingMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  16. Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual LearningKnowledge distillation → Distillation for continual learning
  17. Denoising Diffusion for 3D Hand Pose Estimation from ImagesDiffusion models → Diffusion and flow policies for robotics
  18. Integrating Expert Guidance for Efficient Learning of Safe Overtaking in Autonomous Driving Using Deep Reinforcement LearningEnd-to-end autonomous driving → Reinforcement learning for driving
  19. From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent SpaceLLM safety and security → Machine unlearning
  20. Diffusion Models for Image Restoration and Enhancement: A Comprehensive SurveyDiffusion models → Inverse problems and image restoration
  21. Denoising diffusion-based MRI to CT image translation enables automated spinal segmentationDiffusion models → Medical imaging and segmentation
  22. Unlimited Knowledge Distillation for Action Recognition in the DarkKnowledge distillation → General knowledge distillation methods
  23. DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination CapabilityDiffusion models → Image generation, text-to-image and editing
  24. DiffLLE: Diffusion-guided Domain Calibration for Unsupervised Low-light Image EnhancementDiffusion models → Inverse problems and image restoration
  25. MATLABER: Material-Aware Text-to-3D via LAtent BRDF auto-EncodeRDiffusion models → 3D, point cloud and scene generation
  26. GraphReason: Enhancing Reasoning Capabilities of Large Language Models through A Graph-Based Verification ApproachLLM reasoning → Knowledge- and tool-augmented reasoning
  27. CCFace: Classification Consistency for Low-Resolution Face RecognitionKnowledge distillation → General knowledge distillation methods
  28. DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume ReconstructionDiffusion models → Medical imaging and segmentation
  29. UAV-assisted Semantic Communication with Hybrid Action Reinforcement Learning
  30. Deep Knowledge Tracing is an implicit dynamic multidimensional item response theory model
  31. Onchain Sports Betting using UBET Automated Market Maker
  32. SA Unet Improved
  33. ICU Mortality Prediction Using Long Short-Term Memory Networks
  34. Advancing Relation Extraction through Language Probing with Exemplars from Set Co-Expansion
  35. Exploring the Power of Creative AI Tools and Game-Based Methodologies for Interactive Web-Based Programming
  36. Learning Representations on Logs for AIOps
  37. Logistics Hub Location Optimization: A K-Means and P-Median Model Hybrid Approach Using Road Network Distances
  38. Digital Twin-Oriented Complex Networked Systems based on Heterogeneous Node Features and Interaction Rules
  39. RBA-GCN: Relational Bilevel Aggregation Graph Convolutional Network for Emotion Recognition
  40. Eigenvalue-based Incremental Spectral Clustering
  41. Deep Learning Techniques in Extreme Weather Events: A Review
  42. FunQuant: A R package to perform quantization in the context of rare events and time-consuming simulations
  43. Enhancing Agent Communication and Learning through Action and Language
  44. LibreFace: An Open-Source Toolkit for Deep Facial Expression Analysis
  45. Unsupervised 3D Pose Estimation with Non-Rigid Structure-from-Motion Modeling
  46. Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks
  47. Backdoor Mitigation by Correcting the Distribution of Neural Activations
  48. Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees
  49. Microscopy Image Segmentation via Point and Shape Regularized Data Synthesis
  50. Cross-modality Attention-based Multimodal Fusion for Non-small Cell Lung Cancer (NSCLC) Patient Survival Prediction
  51. Synergistic Integration of Large Language Models and Cognitive Architectures for Robust AI: An Exploratory Analysis
  52. Learning from A Single Graph is All You Need for Near-Shortest Path Routing in Wireless Networks
  53. An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software
  54. VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control
  55. An Efficient High-Dimensional Gene Selection Approach based on Binary Horse Herd Optimization Algorithm for Biological Data Classification
  56. A Two-Part Machine Learning Approach to Characterizing Network Interference in A/B Testing
  57. EAVL: Explicitly Align Vision and Language for Referring Image Segmentation
  58. Long-range Multimodal Pretraining for Movie Understanding
  59. NaijaRC: A Multi-choice Reading Comprehension Dataset for Nigerian Languages
  60. Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources
  61. Taken by Surprise: Contrast effect for Similarity Scores
  62. The Impact of Background Removal on Performance of Neural Networks for Fashion Image Classification and Segmentation
  63. Data Compression and Inference in Cosmology with Self-Supervised Machine Learning
  64. CTP:A Causal Interpretable Model for Non-Communicable Disease Progression Prediction
  65. A Robust Policy Bootstrapping Algorithm for Multi-objective Reinforcement Learning in Non-stationary Environments
  66. Intrinsically Motivated Hierarchical Policy Learning in Multi-objective Markov Decision Processes
  67. Baird Counterexample is Solved: with an example of How to Debug a Two-time-scale Algorithm
  68. Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training
  69. Smoothness Similarity Regularization for Few-Shot GAN Adaptation
  70. Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis
  71. Robust Monocular Depth Estimation under Challenging Conditions
  72. SimDA: Simple Diffusion Adapter for Efficient Video Generation
  73. Neural-network quantum state study of the long-range antiferromagnetic Ising chain
  74. Training with Product Digital Twins for AutoRetail Checkout
  75. Do you know what q-means?
  76. Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition
  77. A Lightweight Transformer for Faster and Robust EBSD Data Collection
  78. Reduced Order Modeling of a MOOSE-based Advanced Manufacturing Model with Operator Learning
  79. Audiovisual Moments in Time: A Large-Scale Annotated Dataset of Audiovisual Actions
  80. PoSynDA: Multi-Hypothesis Pose Synthesis Domain Adaptation for Robust 3D Human Pose Estimation
  81. OCR Language Models with Custom Vocabularies
  82. Variational optimization of the amplitude of neural-network quantum many-body ground states
  83. GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction
  84. Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction
  85. biquality-learn: a Python library for Biquality Learning
  86. Revisiting Skin Tone Fairness in Dermatological Lesion Classification
  87. Development of a Neural Network-based Method for Improved Imputation of Missing Values in Time Series Data by Repurposing DataWig
  88. VALERIE22 -- A photorealistic, richly metadata annotated dataset of urban environments
  89. GeoDTR+: Toward generic cross-view geolocalization via geometric disentanglement
  90. Is context all you need? Scaling Neural Sign Language Translation to Large Domains of Discourse
  91. LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark
  92. Far3D: Expanding the Horizon for Surround-view 3D Object Detection
  93. Constrained Bayesian Optimization Using a Lagrange Multiplier Applied to Power Transistor Design
  94. Language-guided Human Motion Synthesis with Atomic Actions
  95. On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers
  96. Solving PDEs on Spheres with Physics-Informed Convolutional Neural Networks
  97. Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization
  98. ChatHaruhi: Reviving Anime Character in Reality via Large Language Model
  99. Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification
  100. Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents
All 217
  1. Investigation of Architectures and Receptive Fields for Appearance-based Gaze Estimation
  2. Physics-Informed Boundary Integral Networks (PIBI-Nets): A Data-Driven Approach for Solving Partial Differential Equations
  3. Investigating the Interplay between Features and Structures in Graph Learning
  4. Understanding the Role of Layer Normalization in Label-Skewed Federated Learning
  5. Deep Equilibrium Object Detection
  6. A Principle for Global Optimization with Gradients
  7. Attesting Distributional Properties of Training Data for Machine Learning
  8. Latent State Models of Training Dynamics
  9. Decoupled conditional contrastive learning with variable metadata for prostate lesion detection
  10. Meta-ZSDETR: Zero-shot DETR with Meta-learning
  11. Uncertainty-based quality assurance of carotid artery wall segmentation in black-blood MRI
  12. Small Object Detection via Coarse-to-fine Proposal Generation and Imitation Learning
  13. Privacy-Preserving 3-Layer Neural Network Training
  14. Improving 3D Pose Estimation for Sign Language
  15. Proceedings of the 2nd International Workshop on Adaptive Cyber Defense
  16. Leveraging Intrinsic Properties for Non-Rigid Garment Alignment
  17. Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity
  18. Learnt Contrastive Concept Embeddings for Sign Recognition
  19. Spatial LibriSpeech: An Augmented Dataset for Spatial Audio Learning
  20. ResQ: Residual Quantization for Video Perception
  21. Semantic relatedness in DBpedia: A comparative and experimental assessment
  22. Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer
  23. Predictive Authoring for Brazilian Portuguese Augmentative and Alternative Communication
  24. Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models
  25. Modelling Electricity Consumption in Irish Dairy Farms Using Agent-Based Modelling
  26. DFB: A Data-Free, Low-Budget, and High-Efficacy Clean-Label Backdoor Attack
  27. Video-Instrument Synergistic Network for Referring Video Instrument Segmentation in Robotic Surgery
  28. Evolving Scientific Discovery by Unifying Data and Background Knowledge with AI Hilbert
  29. Vision Relation Transformer for Unbiased Scene Graph Generation
  30. Quantitative Susceptibility Mapping through Model-based Deep Image Prior (MoDIP)
  31. Data augmentation and explainability for bias discovery and mitigation in deep learning
  32. Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling
  33. Artificial-Spiking Hierarchical Networks for Vision-Language Representation Learning
  34. Exploring Sampling Techniques for Generating Melodies with a Transformer Language Model
  35. Reconstructing S-matrix Phases with Machine Learning
  36. Defending Label Inference Attacks in Split Learning under Regression Setting
  37. An Efficient 1 Iteration Learning Algorithm for Gaussian Mixture Model And Gaussian Mixture Embedding For Neural Network
  38. Scope is all you need: Transforming LLMs for HPC Code
  39. Transformer-based Detection of Microorganisms on High-Resolution Petri Dish Images
  40. A Methodology for Generative Spelling Correction via Natural Spelling Errors Emulation across Multiple Domains and Languages
  41. Can ultrasound confidence maps predict sonographers' labeling variability?
  42. End-to-end topographic networks as models of cortical map formation and human visual behaviour: moving beyond convolutions
  43. Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent
  44. Self-Supervised Single-Image Deconvolution with Siamese Neural Networks
  45. MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection
  46. Machine-Learning Solutions for the Analysis of Single-Particle Diffusion Trajectories
  47. Metadata Improves Segmentation Through Multitasking Elicitation
  48. Learning MDL logic programs from noisy data
  49. Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization
  50. Multi-Level Compositional Reasoning for Interactive Instruction Following
  51. DReg-NeRF: Deep Registration for Neural Radiance Fields
  52. Label-Free Event-based Object Recognition via Joint Learning with Image Reconstruction from Events
  53. On Gradient-like Explanation under a Black-box Setting: When Black-box Explanations Become as Good as White-box
  54. Deciphering knee osteoarthritis diagnostic features with explainable artificial intelligence: A systematic review
  55. Leveraging Large Language Models for DRL-Based Anti-Jamming Strategies in Zero Touch Networks
  56. Image Processing and Machine Learning for Hyperspectral Unmixing: An Overview and the HySUPP Python Package
  57. Noise Sensitivity and Stability of Deep Neural Networks for Binary Classification
  58. Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers
  59. TrOMR:Transformer-Based Polyphonic Optical Music Recognition
  60. Single Frame Semantic Segmentation Using Multi-Modal Spherical Images
  61. A tailored Handwritten-Text-Recognition System for Medieval Latin
  62. On the Approximation of Bi-Lipschitz Maps by Invertible Neural Networks
  63. Overlap Bias Matching is Necessary for Point Cloud Registration
  64. Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models
  65. Multi-feature concatenation and multi-classifier stacking: an interpretable and generalizable machine learning method for MDD discrimination with rsfMRI
  66. Multi-scale Target-Aware Framework for Constrained Image Splicing Detection and Localization
  67. Accelerated materials language processing enabled by GPT
  68. RLIPv2: Fast Scaling of Relational Language-Image Pre-training
  69. Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching
  70. Surprise machines: revealing Harvard Art Museums' image collection
  71. Document Automation Architectures: Updated Survey in Light of Large Language Models
  72. LSCD: A Large-Scale Screen Content Dataset for Video Compression
  73. SAMedOCT: Adapting Segment Anything Model (SAM) for Retinal OCT
  74. KESDT: knowledge enhanced shallow and deep Transformer for detecting adverse drug reactions
  75. Distributed Neurodynamics-Based Backstepping Optimal Control for Robust Constrained Consensus of Underactuated Underwater Vehicles Fleet
  76. Audio-Visual Glance Network for Efficient Video Recognition
  77. Distributed Robust Learning-Based Backstepping Control Aided with Neurodynamics for Consensus Formation Tracking of Underwater Vessels
  78. Towards Attack-tolerant Federated Learning via Critical Parameter Analysis
  79. Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation
  80. Path Signatures for Seizure Forecasting
  81. Lip Reading for Low-resource Languages by Learning and Combining General Speech Knowledge and Language-specific Knowledge
  82. Variance reduction techniques for stochastic proximal point algorithms
  83. Meta-learning enhanced next POI recommendation by leveraging check-ins from auxiliary cities
  84. Differentiable Retrieval Augmentation via Generative Language Modeling for E-commerce Query Intent Classification
  85. Rethinking Image Forgery Detection via Soft Contrastive Learning and Unsupervised Clustering
  86. Human Part-wise 3D Motion Context Learning for Sign Language Recognition
  87. Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning
  88. Robust Audio Anti-Spoofing with Fusion-Reconstruction Learning on Multi-Order Spectrograms
  89. Automata Learning from Preference and Equivalence Queries
  90. V2A-Mapper: A Lightweight Solution for Vision-to-Audio Generation by Connecting Foundation Models
  91. Inferior Alveolar Nerve Segmentation in CBCT images using Connectivity-Based Selective Re-training
  92. NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning
  93. CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection
  94. Self-Calibrated Cross Attention Network for Few-Shot Segmentation
  95. How important are specialized transforms in Neural Operators?
  96. Graph-based Alignment and Uniformity for Recommendation
  97. HyperLoRA for PDEs
  98. Preference-conditioned Pixel-based AI Agent For Game Testing
  99. RFDforFin: Robust Deep Forgery Detection for GAN-generated Fingerprint Images
  100. Diverse Cotraining Makes Strong Semi-Supervised Segmentor
  101. A hybrid Decoder-DeepONet operator regression framework for unaligned observation data
  102. Progression-Guided Temporal Action Detection in Videos
  103. Multi-Task Pseudo-Label Learning for Non-Intrusive Speech Quality Assessment Model
  104. FRGNN: Mitigating the Impact of Distribution Shift on Graph Neural Networks via Test-Time Feature Reconstruction
  105. Capacity Bounds for Hyperbolic Neural Network Representations of Latent Tree Structures
  106. Active and Passive Causal Inference Learning
  107. Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos
  108. Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos
  109. SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos
  110. ASAG: Building Strong One-Decoder-Layer Sparse Detectors via Adaptive Sparse Anchor Generation
  111. Improving Buoy Detection with Deep Transfer Learning for Mussel Farm Automation
  112. Deep Boosting Multi-Modal Ensemble Face Recognition with Sample-Level Weighting
  113. Generalized Sum Pooling for Metric Learning
  114. A review of technical factors to consider when designing neural networks for semantic segmentation of Earth Observation imagery
  115. Learning in Cooperative Multiagent Systems Using Cognitive and Machine Models
  116. Conversational Ontology Alignment with ChatGPT
  117. Path convergence of Markov chains on large graphs