mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 29 Jun 2023

203 papers

  1. A Hybrid System for Systematic Generalization in Simple Arithmetic ProblemsLLM reasoning → Mathematical reasoning
  2. HYDRA: Hybrid Robot Actions for Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
  3. Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion ModelsDiffusion models → Audio, speech and music
  4. An Efficient General-Purpose Modular Vision Model via Multi-Task Heterogeneous TrainingMixture-of-experts → Vision mixture-of-experts
  5. Generate Anything Anywhere in Any SceneDiffusion models → Image generation, text-to-image and editing
  6. Filter-Guided Diffusion for Controllable Image GenerationDiffusion models → Image generation, text-to-image and editing
  7. ID-Pose: Sparse-view Camera Pose Estimation by Inverting Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  8. Concept-Oriented Deep Learning with Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  9. Learning Structure-Guided Diffusion Model for 2D Human Pose EstimationDiffusion models → 3D, point cloud and scene generation
  10. Spatial Reasoning via Deep Vision Models for Robotic Sequential ManipulationLLM reasoning → Spatial and embodied reasoning
  11. Spiking Denoising Diffusion Probabilistic ModelsDiffusion models → Diffusion foundations and sampling
  12. Exploring & Exploiting High-Order Graph Structure for Sparse Knowledge Graph CompletionLLM reasoning → Knowledge- and tool-augmented reasoning
  13. One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape OptimizationDiffusion models → 3D, point cloud and scene generation
  14. End-to-end Autonomous Driving: Challenges and FrontiersEnd-to-end autonomous driving → End-to-end system architecture
  15. Understanding the Overfitting of the Episodic Meta-trainingKnowledge distillation → General knowledge distillation methods
  16. SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph GenerationDiffusion models → Flow matching, time series and science
  17. Graph Denoising Diffusion for Inverse Protein FoldingDiffusion models → Flow matching, time series and science
  18. Stop Pre-Training: Adapt Visual-Language Models to Unseen LanguagesLLM reasoning → Multimodal reasoning +1
  19. DiffusionSTR: Diffusion Model for Scene Text RecognitionDiffusion models → Image generation, text-to-image and editing
  20. Prompt Ensemble Self-training for Open-Vocabulary Domain AdaptationSynthetic data and self-improvement for LLMs → Self-improving MLLMs and synthetic data
  21. Self-Supervised MRI Reconstruction with Unrolled Diffusion ModelsDiffusion models → Medical imaging and segmentation
  22. Balancing Accuracy and Training Time in Federated Learning for Violence Detection in Surveillance Videos: A Study of Neural Network Architectures
  23. Estimating See and Be Seen Performance with an Airborne Visual Acquisition Model
  24. Seeing in Words: Learning to Classify through Language Bottlenecks
  25. A Survey on Blockchain-Based Federated Learning and Data Privacy
  26. Diagnosis Uncertain Models For Medical Risk Prediction
  27. Designing Stable Neural Networks using Convex Analysis and ODEs
  28. Kernel ε-Greedy for Multi-Armed Bandits with Covariates
  29. Scaling Model Checking for DNN Analysis via State-Space Reduction and Input Segmentation (Extended Version)
  30. Citations as Queries: Source Attribution Using Language Models as Rerankers
  31. Training-Free Neural Matte Extraction for Visual Effects
  32. ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation
  33. Robust Roadside Perception: an Automated Data Synthesis Pipeline Minimizing Human Annotation
  34. Why Shallow Networks Struggle to Approximate and Learn High Frequencies
  35. Towards Open-Domain Topic Classification
  36. A Neural Separation Algorithm for the Rounded Capacity Inequalities
  37. HPC-Coder: Modeling Parallel Programs using Large Language Models
  38. Probabilistic Constraint for Safety-Critical Reinforcement Learning
  39. DisasterResponseGPT: Large Language Models for Accelerated Plan of Action Development in Disaster Response Scenarios
  40. Fast and Robust State Estimation and Tracking via Hierarchical Learning
  41. Suffering Toasters -- A New Self-Awareness Test for AI
  42. Prediction of COVID-19 Patients' Emergency Room Revisit using Multi-Source Transfer Learning
  43. Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendations
  44. Towards Zero-Shot Scale-Aware Monocular Depth Estimation
  45. TemperatureGAN: Generative Modeling of Regional Atmospheric Temperatures
  46. Scattering Spectra Models for Physics
  47. A Fast Fourier Convolutional Deep Neural Network For Accurate and Explainable Discrimination Of Wheat Yellow Rust And Nitrogen Deficiency From Sentinel-2 Time-Series Data
  48. FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude
  49. Learning Environment Models with Continuous Stochastic Dynamics
  50. An end-to-end framework for gene expression classification by integrating a background knowledge graph: application to cancer prognosis prediction
  51. MPM: A Unified 2D-3D Human Pose Representation via Masked Pose Modeling
  52. Residual Feature Pyramid Network for Enhancement of Vascular Patterns
  53. Learning Multilingual Expressive Speech Representation for Prosody Prediction without Parallel Data
  54. Guided Deep Generative Model-based Spatial Regularization for Multiband Imaging Inverse Problems
  55. Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4, and Human Tutors
  56. Local Risk Bounds for Statistical Aggregation
  57. Orbit Classification of asteroids using implementation of radial Basis Function on Support Vector Machines
  58. PVP: Personalized Video Prior for Editable Dynamic Portraits using StyleGAN
  59. Learning Nuclei Representations with Masked Image Modelling
  60. Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation
  61. Synthetic Demographic Data Generation for Card Fraud Detection Using GANs
  62. ManimML: Communicating Machine Learning Architectures with Animation
  63. LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding
  64. Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations
  65. Deep Ensemble for Rotorcraft Attitude Prediction
  66. LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT
  67. Identifying Important Sensory Feedback for Learning Locomotion Skills
  68. RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
  69. The Importance of Robust Features in Mitigating Catastrophic Forgetting
  70. Sparsity exploitation via discovering graphical models in multi-variate time-series forecasting
  71. RAPGen: An Approach for Fixing Code Inefficiencies in Zero-Shot
  72. Detect Any Deepfakes: Segment Anything Meets Face Forgery Detection and Localization
  73. Interdisciplinary Methods in Computational Creativity: How Human Variables Shape Human-Inspired AI Research
  74. On the Predictive Accuracy of Neural Temporal Point Process Models for Continuous-time Event Data
  75. Gesture Recognition with mmWave Wi-Fi Access Points: Lessons Learned
  76. The mapKurator System: A Complete Pipeline for Extracting and Linking Text from Historical Maps
  77. Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning
  78. Towards Grammatical Tagging for the Legal Language of Cybersecurity
  79. Comparison of Single- and Multi- Objective Optimization Quality for Evolutionary Equation Discovery
  80. Safety-Aware Task Composition for Discrete and Continuous Reinforcement Learning
  81. Medoid splits for efficient random forests in metric spaces
  82. SkiROS2: A skill-based Robot Control Platform for ROS
  83. Classifying Crime Types using Judgment Documents from Social Media
  84. Histopathology Slide Indexing and Search: Are We There Yet?
  85. milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion Sensing
  86. MLA-BIN: Model-level Attention and Batch-instance Style Normalization for Domain Generalization of Federated Learning on Medical Image Segmentation
  87. High-Quality Automatic Voice Over with Accurate Alignment: Supervision through Self-Supervised Discrete Speech Units
  88. Learning thermodynamically constrained equations of state with uncertainty
  89. MotionTrack: End-to-End Transformer-based Multi-Object Tracing with LiDAR-Camera Fusion
  90. Spectral Batch Normalization: Normalization in the Frequency Domain
  91. Unsupervised 3D registration through optimization-guided cyclical self-training
  92. Weight Compander: A Simple Weight Reparameterization for Regularization
  93. Integrating Large Pre-trained Models into Multimodal Named Entity Recognition with Evidential Fusion
  94. The State of Applying Artificial Intelligence to Tissue Imaging for Cancer Research and Early Detection
  95. Post-train Black-box Defense via Bayesian Boundary Correction
  96. Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning
  97. Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters
  98. Identifiability of Direct Effects from Summary Causal Graphs
  99. Cross-Inferential Networks for Source-free Unsupervised Domain Adaptation
  100. MEMD-ABSA: A Multi-Element Multi-Domain Dataset for Aspect-Based Sentiment Analysis
All 203
  1. Predicting Music Hierarchies with a Graph-Based Neural Decoder
  2. Alternative Telescopic Displacement: An Efficient Multimodal Alignment Method
  3. BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion
  4. Restore Translation Using Equivariant Neural Networks
  5. DreamDiffusion: Generating High-Quality Images from Brain EEG Signals
  6. A Quantitative Functional Central Limit Theorem for Shallow Neural Networks
  7. UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations?
  8. OSP: Boosting Distributed Model Training with 2-stage Synchronization
  9. MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset
  10. NAUTILUS: boosting Bayesian importance nested sampling with deep learning
  11. Provable Advantage of Curriculum Learning on Parity Targets with Mixed Inputs
  12. PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification
  13. The Drunkard's Odometry: Estimating Camera Motion in Deforming Scenes
  14. Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimisation
  15. Computationally Assisted Quality Control for Public Health Data Streams
  16. AutoML in Heavily Constrained Applications
  17. Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Density Approach
  18. Leveraging Cross-Utterance Context For ASR Decoding
  19. Integrating Large Language Model for Improved Causal Discovery
  20. Surveying (Dis)Parities and Concerns of Compute Hungry NLP Research
  21. Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective
  22. Harnessing the Power of Hugging Face Transformers for Predicting Mental Health Disorders in Social Networks
  23. Trajectory Poisson multi-Bernoulli mixture filter for traffic monitoring using a drone
  24. Policy Space Diversity for Non-Transitive Games
  25. Surgical Phase and Instrument Recognition: How to identify appropriate Dataset Splits
  26. Towards a Self-Replicating Turing Machine
  27. NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes
  28. Sustainable Palm Tree Farming: Leveraging IoT and Multi-Modal Data for Early Detection and Mapping of Red Palm Weevil
  29. ArrayBot: Reinforcement Learning for Generalizable Distributed Manipulation through Touch
  30. On the Relationship Between RNN Hidden State Vectors and Semantic Ground Truth
  31. Lightweight texture transfer based on texture feature preset
  32. Macro Placement by Wire-Mask-Guided Black-Box Optimization
  33. Tokenization and the Noiseless Channel
  34. Fast Robust Kernel Regression through Sign Gradient Descent with Early Stopping
  35. A Formal Perspective on Byte-Pair Encoding
  36. Intelligence of Astronomical Optical Telescope: Present Status and Future Perspectives
  37. Sampling weights of deep neural networks
  38. Length of Stay prediction for Hospital Management using Domain Adaptation
  39. Improving Online Continual Learning Performance and Stability with Temporal Ensembles
  40. CLIPAG: Towards Generator-Free Text-to-Image Generation
  41. Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis
  42. LeanAI: A method for AEC practitioners to effectively plan AI implementations
  43. Evaluation of Environmental Conditions on Object Detection using Oriented Bounding Boxes for AR Applications
  44. Benchmarking Large Language Model Capabilities for Conditional Generation
  45. Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging
  46. A Survey on Datasets for Decision-making of Autonomous Vehicle
  47. Low-Light Enhancement in the Frequency Domain
  48. Graph Sampling-based Meta-Learning for Molecular Property Prediction
  49. M3Act: Learning from Synthetic Human Group Activities
  50. DialoGPS: Dialogue Path Sampling in Continuous Semantic Space for Data Augmentation in Multi-Turn Conversations
  51. Performance Analysis of DNN Inference/Training with Convolution and non-Convolution Operations
  52. Unified Language Representation for Question Answering over Text, Tables, and Images
  53. Moreau Envelope Based Difference-of-weakly-Convex Reformulation and Algorithm for Bilevel Programs
  54. Transfer Learning with Semi-Supervised Dataset Annotation for Birdcall Classification
  55. Boosting the Generalization Ability for Hyperspectral Image Classification using Spectral-spatial Axial Aggregation Transformer
  56. Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning
  57. Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train
  58. Principles and Guidelines for Evaluating Social Robot Navigation Algorithms
  59. Towards Optimal Randomized Strategies in Adversarial Example Game
  60. GraMMaR: Ground-aware Motion Model for 3D Human Motion Reconstruction
  61. Unified View of Damage leaves Planimetry & Analysis Using Digital Images Processing Techniques
  62. Multi-Scenario Ranking with Adaptive Feature Learning
  63. Evaluating Paraphrastic Robustness in Textual Entailment Models
  64. Metric-aligned Sample Selection and Critical Feature Sampling for Oriented Object Detection
  65. Understanding Pathologies of Deep Heteroskedastic Regression
  66. SimPLe: Similarity-Aware Propagation Learning for Weakly-Supervised Breast Cancer Segmentation in DCE-MRI
  67. Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering
  68. Automatic Speech Recognition of Non-Native Child Speech for Language Learning Applications
  69. NCL++: Nested Collaborative Learning for Long-Tailed Visual Recognition
  70. NNQS-Transformer: an Efficient and Scalable Neural Network Quantum States Approach for Ab initio Quantum Chemistry
  71. Elastically-Constrained Meta-Learner for Federated Learning
  72. Dynamic-Resolution Model Learning for Object Pile Manipulation
  73. Rapid-INR: Storage Efficient CPU-free DNN Training Using Implicit Neural Representation
  74. Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features
  75. SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores
  76. Streaming egocentric action anticipation: An evaluation scheme and approach
  77. BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models
  78. End-to-End Learnable Multi-Scale Feature Compression for VCM
  79. Game Level Blending using a Learned Level Representation
  80. Joint Level Generation and Translation Using Gameplay Videos
  81. NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency
  82. Real-Time Fully Unsupervised Domain Adaptation for Lane Detection in Autonomous Driving
  83. Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation
  84. ZeroGen: Zero-shot Multimodal Controllable Text Generation with Multiple Oracles
  85. Private Covariance Approximation and Eigenvalue-Gap Bounds for Complex Gaussian Perturbations
  86. Deep Equilibrium Multimodal Fusion
  87. Probabilistic Linguistic Knowledge and Token-level Text Augmentation
  88. The Future of AI-Assisted Writing
  89. Evaluating ChatGPT's Decimal Skills and Feedback Generation in a Digital Learning Game
  90. A negation detection assessment of GPTs: analysis with the xNot360 dataset
  91. CMATH: Can Your Language Model Pass Chinese Elementary School Math Test?
  92. Improving Fairness in Deepfake Detection
  93. Towards Blockchain-Assisted Privacy-Aware Data Sharing For Edge Intelligence: A Smart Healthcare Perspective
  94. MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning on/for Quantum Computers in the NISQ era
  95. The Segment Anything Model (SAM) for Remote Sensing Applications: From Zero to One Shot
  96. Assessing the Performance of 1D-Convolution Neural Networks to Predict Concentration of Mixture Components from Raman Spectra
  97. Laxity-Aware Scalable Reinforcement Learning for HVAC Control
  98. Last-Iterate Convergence of Adaptive Riemannian Gradient Descent for Equilibrium Computation
  99. Representation learning of vertex heatmaps for 3D human mesh reconstruction from multi-view images
  100. Group-based Robustness: A General Framework for Customized Robustness in the Real World
  101. GuidedMixup: An Efficient Mixup Strategy Guided by Saliency Maps
  102. EgoCOL: Egocentric Camera pose estimation for Open-world 3D object Localization @Ego4D challenge 2023
  103. KITE: Keypoint-Conditioned Policies for Semantic Manipulation