mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 20 Feb 2023

185 papers

  1. Restoration based Generative ModelsDiffusion models → Inverse problems and image restoration
  2. Harms from Increasingly Agentic Algorithmic SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
  3. Unsupervised Out-of-Distribution Detection with Diffusion InpaintingDiffusion models → Medical imaging and segmentation
  4. Meta-World Conditional Neural ProcessesWorld models → World models for language agents
  5. Neural Algorithmic Reasoning with Causal RegularisationLLM reasoning → Test-time compute and efficient thinking
  6. Multiagent Inverse Reinforcement Learning via Theory of Mind ReasoningOffline RL and imitation learning from data → Inverse reinforcement learning
  7. Cross-domain Compositing with Pretrained Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  8. Infinite-Dimensional Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  9. Progressive Ensemble Distillation: Building Ensembles for Efficient InferenceKnowledge distillation → General knowledge distillation methods
  10. DINOISER: Diffused Conditional Sequence Learning by Manipulating NoisesDiffusion models → Discrete and text diffusion
  11. TA-MoE: Topology-Aware Large Scale Mixture-of-Expert TrainingMixture-of-experts → Expert routing strategies
  12. Towards Unbounded Machine UnlearningLLM safety and security → Machine unlearning
  13. PriSTI: A Conditional Diffusion Framework for Spatiotemporal ImputationDiffusion models → Flow matching, time series and science
  14. ChatGPT for Robotics: Design Principles and Model Abilities
  15. Molecular design method based on novel molecular representation and variational auto-encoder
  16. Boosting Convolutional Neural Networks' Protein Binding Site Prediction Capacity Using SE(3)-invariant transformers, Transfer Learning and Homology-based Augmentation
  17. An Incremental Gray-box Physical Adversarial Attack on Neural Network Training
  18. Exploring the Advantages of Transformers for High-Frequency Trading
  19. ChatGPT: A Meta-Analysis after 2.5 Months
  20. Harris Hawks Feature Selection in Distributed Machine Learning for Secure IoT Environments
  21. Solving Recurrent MIPs with Semi-supervised Graph Neural Networks
  22. Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI
  23. Federated Learning for ASR based on Wav2vec 2.0
  24. Federated Gradient Matching Pursuit
  25. Gaussian processes at the Helm(holtz): A more fluid model for ocean currents
  26. Transformed Distribution Matching for Missing Value Imputation
  27. Heterogeneous Social Event Detection via Hyperbolic Graph Representations
  28. Optical Transformers
  29. Replicable Clustering
  30. Variational Autoencoding Neural Operators
  31. Binding-and-folding recognition of an intrinsically disordered protein using online learning molecular dynamics
  32. Online Evolutionary Neural Architecture Search for Multivariate Non-Stationary Time Series Forecasting
  33. Exploring the Limits of Transfer Learning with Unified Model in the Cybersecurity Domain
  34. Model-based feature selection for neural networks: A mixed-integer programming approach
  35. Non-rigid Medical Image Registration using Physics-informed Neural Networks
  36. Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems
  37. DC4L: Distribution Shift Recovery via Data-Driven Control for Deep Learning Models
  38. Causal Razors
  39. Adaptive Sparse Gaussian Process
  40. Deep Transformers without Shortcuts: Modifying Self-attention for Faithful Signal Propagation
  41. Differentiable Bootstrap Particle Filters for Regime-Switching Models
  42. Hadamard Layer to Improve Semantic Segmentation
  43. Understanding the effect of varying amounts of replay per step
  44. Quantum Machine Learning hyperparameter search
  45. Correlation Clustering with Active Learning of Pairwise Similarities
  46. AERoS: Assurance of Emergent Behaviour in Autonomous Robotic Swarms
  47. Tackling Shortcut Learning in Deep Neural Networks: An Iterative Approach with Interpretable Models
  48. Image Reconstruction via Deep Image Prior Subspaces
  49. Kernel function impact on convolutional neural networks
  50. Deep Reinforcement Learning for Cost-Effective Medical Diagnosis
  51. Unsupervised Learning on a DIET: Datum IndEx as Target Free of Self-Supervision, Reconstruction, Projector Head
  52. NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition
  53. Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness
  54. Faster high-accuracy log-concave sampling via algorithmic warm starts
  55. VoxSRC 2022: The Fourth VoxCeleb Speaker Recognition Challenge
  56. ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPT
  57. Efficient micro data centres deployment for mobile healthcare monitoring systems in IoT urban scenarios
  58. Spatio-Temporal Momentum: Jointly Learning Time-Series and Cross-Sectional Strategies
  59. Towards Universal Fake Image Detectors that Generalize Across Generative Models
  60. Learning Deep Semantics for Test Completion
  61. Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts
  62. Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift
  63. Sparse PCA Beyond Covariance Thresholding
  64. Poisoning Web-Scale Training Datasets is Practical
  65. A DNN based Normalized Time-frequency Weighted Criterion for Robust Wideband DoA Estimation
  66. Multi-generational labour markets: data-driven discovery of multi-perspective system parameters using machine learning
  67. Improving Deep Policy Gradients with Value Function Search
  68. Hashtag-Guided Low-Resource Tweet Classification
  69. Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels
  70. iQPP: A Benchmark for Image Query Performance Prediction
  71. NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion
  72. Towards Understanding the Survival of Patients with High-Grade Gastroenteropancreatic Neuroendocrine Neoplasms: An Investigation of Ensemble Feature Selection in the Prediction of Overall Survival
  73. Conformal Prediction for Network-Assisted Regression
  74. A Two-Sided Discussion of Preregistration of NLP Research
  75. UAVStereo: A Multiple Resolution Dataset for Stereo Matching in UAV Scenarios
  76. Improved dimension dependence of a proximal algorithm for sampling
  77. Sharp analysis of EM for learning mixtures of pairwise differences
  78. An evaluation of deep learning models for predicting water depth evolution in urban floods
  79. Differentiable Arbitrating in Zero-sum Markov Games
  80. Normative framework for deriving neural networks with multi-compartmental neurons and non-Hebbian plasticity
  81. Friend Ranking in Online Games via Pre-training Edge Transformers
  82. Ontology-aware Network for Zero-shot Sketch-based Image Retrieval
  83. Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey
  84. Over-Parameterization Exponentially Slows Down Gradient Descent for Learning a Single Neuron
  85. Safe Deep Reinforcement Learning by Verifying Task-Level Properties
  86. Arena-Rosnav 2.0: A Development and Benchmarking Platform for Robot Navigation in Highly Dynamic Environments
  87. Medical Face Masks and Emotion Recognition from the Body: Insights from a Deep Learning Perspective
  88. Boosting classification reliability of NLP transformer models in the long run
  89. On the Metrics for Evaluating Monocular Depth Estimation
  90. Simulating analogue film damage to analyse and improve artefact restoration on high-resolution scans
  91. STB-VMM: Swin Transformer Based Video Motion Magnification
  92. Gesture Recognition with Keypoint and Radar Stream Fusion for Automated Vehicles
  93. A Large Scale Homography Benchmark
  94. Selectively Providing Reliance Calibration Cues With Reliance Prediction
  95. Towards Measuring and Scoring Speaker Diarization Fairness
  96. Deep Vision in Analysis and Recognition of Radar Data: Achievements, Advancements and Challenges
  97. Dynamic Graph Neural Network with Adaptive Edge Attributes for Air Quality Predictions
  98. Discouraging posterior collapse in hierarchical Variational Autoencoders using context
  99. Advanced Image Quality Assessment for Hand- and Fingervein Biometrics
  100. Stability-based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning
All 185
  1. Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting
  2. Why is the prediction wrong? Towards underfitting case explanation via meta-classification
  3. SpecXAI -- Spectral interpretability of Deep Learning Models
  4. Generalization capabilities of conditional GAN for turbulent flow under changes of geometry
  5. SkillRec: A Data-Driven Approach to Job Skill Recommendation for Career Insights
  6. CISum: Learning Cross-modality Interaction to Enhance Multimodal Semantic Coverage for Multimodal Summarization
  7. Nystr"om M-Hilbert-Schmidt Independence Criterion
  8. Prompt Stealing Attacks Against Text-to-Image Generation Models
  9. Unsupervised OmniMVS: Efficient Omnidirectional Depth Inference via Establishing Pseudo-Stereo Supervision
  10. Free-Form Variational Inference for Gaussian Process State-Space Models
  11. Interactive Face Video Coding: A Generative Compression Framework
  12. ByzSecAgg: A Byzantine-Resistant Secure Aggregation Scheme for Federated Learning Based on Coded Computing and Vector Commitment
  13. A Sidecar Separator Can Convert a Single-Talker Speech Recognition System to a Multi-Talker One
  14. General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment
  15. WW-FL: Secure and Private Large-Scale Federated Learning
  16. Variation Enhanced Attacks Against RRAM-based Neuromorphic Computing System
  17. A Survey on Semi-Supervised Semantic Segmentation
  18. Efficient Generator of Mathematical Expressions for Symbolic Regression
  19. Unreliable Partial Label Learning with Recursive Separation
  20. 90% F1 Score in Relational Triple Extraction: Is it Real ?
  21. InOR-Net: Incremental 3D Object Recognition Network for Point Cloud Representation
  22. Mental Health Coping Stories on Social Media: A Causal-Inference Study of Papageno Effect
  23. GlocalFuse-Depth: Fusing Transformers and CNNs for All-day Self-supervised Monocular Depth Estimation
  24. Backstepping Temporal Difference Learning
  25. Attitudes and Latent Class Choice Models using Machine learning
  26. Can discrete information extraction prompts generalize across language models?
  27. The notion of role in conceptual modelling
  28. Awkward to RDataFrame and back
  29. The evolutionary advantage of guilt: co-evolution of social and non-social guilt in structured populations
  30. Knowledge-aware Bayesian Co-attention for Multimodal Emotion Recognition
  31. Faster Region-Based CNN Spectrum Sensing and Signal Identification in Cluttered RF Environments
  32. Unsupervised Layer-wise Score Aggregation for Textual OOD Detection
  33. Constraint and Union for Partially-Supervised Temporal Sentence Grounding
  34. FederatedTrust: A Solution for Trustworthy Federated Learning
  35. JNDMix: JND-Based Data Augmentation for No-reference Image Quality Assessment
  36. Simple U-net Based Synthetic Polyp Image Generation: Polyp to Negative and Negative to Polyp
  37. Transductive Matrix Completion with Calibration for Multi-Task Learning
  38. Domain-Specific Pre-training Improves Confidence in Whole Slide Image Classification
  39. TAMUNA: Doubly Accelerated Distributed Optimization under Partial Participation
  40. Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
  41. Weighted First Order Model Counting with Directed Acyclic Graph Axioms
  42. On the Expressivity of Persistent Homology in Graph Learning
  43. TBPos: Dataset for Large-Scale Precision Visual Localization
  44. Improving User Controlled Table-To-Text Generation Robustness
  45. FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification
  46. Explainable Human-centered Traits from Head Motion and Facial Expression Dynamics
  47. On the Stability and Generalization of Triplet Learning
  48. Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network
  49. Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent Healthcare
  50. Toward Asymptotic Optimality: Sequential Unsupervised Regression of Density Ratio for Early Classification
  51. RecFNO: a resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operator
  52. A Novel Collaborative Self-Supervised Learning Method for Radiomic Data
  53. Logit-Q Dynamics for Efficient Learning in Stochastic Teams
  54. CNTS: Cooperative Network for Time Series
  55. Simple Disentanglement of Style and Content in Visual Representations
  56. Two-stream Decoder Feature Normality Estimating Network for Industrial Anomaly Detection
  57. HTNet: Human Topology Aware Network for 3D Human Pose Estimation
  58. Self-Supervised Monocular Depth Estimation with Self-Reference Distillation and Disparity Offset Refinement
  59. Towards Simultaneous Segmentation of Liver Tumors and Intrahepatic Vessels via Cross-attention Mechanism
  60. Incremental Few-Shot Object Detection via Simple Fine-Tuning Approach
  61. Composer: Creative and Controllable Image Synthesis with Composable Conditions
  62. Persian topic detection based on Human Word association and graph embedding
  63. Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot
  64. A One-Sample Decentralized Proximal Algorithm for Non-Convex Stochastic Composite Optimization
  65. ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation
  66. Metropolis Theorem and Its Applications in Single Image Detail Enhancement
  67. Learning Goal-based Movement via Motivational-based Models in Cognitive Mobile Robots
  68. An ODE Model for Dynamic Matching in Heterogeneous Networks
  69. Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification
  70. Dynamic Simplex: Balancing Safety and Performance in Autonomous Cyber Physical Systems
  71. Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles
  72. Affect-Conditioned Image Generation
  73. A Blackbox Approach to Best of Both Worlds in Bandits and Beyond
  74. Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning
  75. STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training
  76. CMVAE: Causal Meta VAE for Unsupervised Meta-Learning
  77. Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression
  78. Nystrom Method for Accurate and Scalable Implicit Differentiation
  79. Emphasizing Unseen Words: New Vocabulary Acquisition for End-to-End Speech Recognition
  80. Seeing the Fruit for the Leaves: Towards Automated Apple Fruitlet Thinning
  81. What happens before and after: Multi-Event Commonsense in Event Coreference Resolution
  82. Depth Degeneracy in Neural Networks: Vanishing Angles in Fully Connected ReLU Networks on Initialization
  83. Reinforcement Learning with Function Approximation: From Linear to Nonlinear
  84. Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty
  85. Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks