mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 13 Feb 2023

206 papers

  1. Diffusion Models in Bioinformatics: A New Wave of Deep Learning Revolution in ActionDiffusion models → Flow matching, time series and science
  2. Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction ChallengeLLM safety and security → Membership inference attacks
  3. Diminished Diversity-of-Thought in a Standard Large Language ModelLLM reasoning → Reasoning benchmarks and evaluation
  4. STREET: A Multi-Task Structured Reasoning and Explanation BenchmarkLLM reasoning → Reasoning benchmarks and evaluation
  5. On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)LLM reasoning → Reasoning for agents, planning and code
  6. Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear RecommendationsLLM safety and security → Membership inference attacks
  7. UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal ModelingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  8. Raising the Cost of Malicious AI-Powered Image EditingDiffusion models → Robustness, privacy and adversarial aspects
  9. Preconditioned Score-based Generative ModelsDiffusion models → Diffusion foundations and sampling
  10. Review of Deep Reinforcement Learning for Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
  11. Unlabeled Imperfect Demonstrations in Adversarial Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
  12. Exploring Navigation Maps for Learning-Based Motion PredictionKnowledge distillation → Multimodal distillation
  13. Privacy-Preserving Tree-Based Inference with TFHE
  14. Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment
  15. Deep Neural Networks for Encrypted Inference with TFHE
  16. Paparazzi: A Deep Dive into the Capabilities of Language and Vision Models for Grounding Viewpoint Descriptions
  17. Semantic Feature Integration network for Fine-grained Visual Classification
  18. Generalization-baed similarity
  19. Magnetohydrodynamics with Physics Informed Neural Operators
  20. Knowledge Enhanced Semantic Communication Receiver
  21. Atrial Fibrillation Detection Using RR-Intervals for Application in Photoplethysmographs
  22. A Novel Poisoned Water Detection Method Using Smartphone Embedded Wi-Fi Technology and Machine Learning Algorithms
  23. Kernelized Diffusion maps
  24. Dataset Distillation with Convexified Implicit Gradients
  25. Provable Detection of Propagating Sampling Bias in Prediction Models
  26. OpenHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science
  27. Solar Wind Speed Estimate with Machine Learning Ensemble Models for LISA
  28. Detection-Recovery Gap for Planted Dense Cycles
  29. Robust Unsupervised StyleGAN Image Restoration
  30. Multi-Carrier NOMA-Empowered Wireless Federated Learning with Optimal Power and Bandwidth Allocation
  31. Deep Learning Predicts Prevalent and Incident Parkinson's Disease From UK Biobank Fundus Imaging
  32. Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration
  33. Machine Learning Model Attribution Challenge
  34. Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems
  35. An Application of Deep Learning for Sweet Cherry Phenotyping using YOLO Object Detection
  36. Simplified Continuous High Dimensional Belief Space Planning with Adaptive Probabilistic Belief-dependent Constraints
  37. Online Safety Property Collection and Refinement for Safe Deep Reinforcement Learning in Mapless Navigation
  38. Guiding Pretraining in Reinforcement Learning with Large Language Models
  39. Bag of Tricks for In-Distribution Calibration of Pretrained Transformers
  40. The Sum of Its Parts: Visual Part Segmentation for Inertial Parameter Identification of Manipulated Objects
  41. A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000
  42. Enhancing Multivariate Time Series Classifiers through Self-Attention and Relative Positioning Infusion
  43. User-Centered Design (IX): A "User Experience 3.0" Paradigm Framework in the Intelligence Era
  44. System identification of neural systems: If we got it right, would we know?
  45. Symbolic Discovery of Optimization Algorithms
  46. PK-ICR: Persona-Knowledge Interactive Context Retrieval for Grounded Dialogue
  47. Unveiling the Unseen: A Comprehensive Survey on Explainable Anomaly Detection in Images and Videos
  48. Optimal Algorithms for the Inhomogeneous Spiked Wigner Model
  49. In Search for a Generalizable Method for Source Free Domain Adaptation
  50. Achieving Better Regret against Strategic Adversaries
  51. Surround-View Vision-based 3D Detection for Autonomous Driving: A Survey
  52. That Escalated Quickly: An ML Framework for Alert Prioritization
  53. Simple Hardware-Efficient Long Convolutions for Sequence Modeling
  54. Vision-RADAR fusion for Robotics BEV Detections: A Survey
  55. PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees
  56. Self-Emotion-Mediated Exploration in Artificial Intelligence Mirrors: Findings from Cognitive Psychology
  57. 3D-aware Blending with Generative NeRFs
  58. Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation
  59. ALAN: Autonomously Exploring Robotic Agents in the Real World
  60. Multiple Instance Learning with Trainable Decision Tree Ensembles
  61. Task-Specific Skill Localization in Fine-tuned Language Models
  62. FilFL: Client Filtering for Optimized Client Participation in Federated Learning
  63. Gradient-Based Automated Iterative Recovery for Parameter-Efficient Tuning
  64. When Can We Track Significant Preference Shifts in Dueling Bandits?
  65. Geometric Clifford Algebra Networks
  66. Improving Out-of-Distribution Generalization of Neural Rerankers with Contextualized Late Interaction
  67. Stitchable Neural Networks
  68. AbLit: A Resource for Analyzing and Generating Abridged Versions of English Literature
  69. Kernel Ridge Regression Inference
  70. GFlowNet-EM for learning compositional latent variable models
  71. EnergyShield: Provably-Safe Offloading of Neural Network Controllers for Energy Efficiency
  72. Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD
  73. Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations
  74. Comp2Comp: Open-Source Body Composition Assessment on Computed Tomography
  75. A Domain Decomposition-Based CNN-DNN Architecture for Model Parallel Training Applied to Image Recognition Problems
  76. Large Scale Multi-Lingual Multi-Modal Summarization Dataset
  77. Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model
  78. VA-DepthNet: A Variational Approach to Single Image Depth Prediction
  79. Do Vision and Language Models Share Concepts? A Vector Space Alignment Study
  80. Between Generating Noise and Generating Images: Noise in the Correct Frequency Improves the Quality of Synthetic Histopathology Images for Digital Pathology
  81. Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning
  82. Probabilistic Circuits That Know What They Don't Know
  83. Towards Agile Text Classifiers for Everyone
  84. Imitation from Observation With Bootstrapped Contrastive Learning
  85. Fourier-RNNs for Modelling Noisy Physics Data
  86. ECG-Based Patient Identification: A Comprehensive Evaluation Across Health and Activity Conditions
  87. Low-dimensional Data-based Surrogate Model of a Continuum-mechanical Musculoskeletal System Based on Non-intrusive Model Order Reduction
  88. An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation
  89. Transferable Deep Metric Learning for Clustering
  90. Multiple Appropriate Facial Reaction Generation in Dyadic Interaction Settings: What, Why and How?
  91. DEPAS: De-novo Pathology Semantic Masks using a Generative Model
  92. Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces and ReLU Regression under Gaussian Marginals
  93. Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making
  94. Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts
  95. Explicit3D: Graph Network with Spatial Inference for Single Image 3D Object Detection
  96. Optical flow estimation from event-based cameras and spiking neural networks
  97. Why Can't Discourse Parsing Generalize? A Thorough Investigation of the Impact of Data Diversity
  98. A Study on ReLU and Softmax in Transformer
  99. Encoding Sentence Position in Context-Aware Neural Machine Translation with Concatenation
  100. Mixed Multi-Model Semantic Interaction for Graph-based Narrative Visualizations
All 206
  1. Joint Span Segmentation and Rhetorical Role Labeling with Data Augmentation for Legal Documents
  2. ContrasInver: Ultra-Sparse Label Semi-supervised Regression for Multi-dimensional Seismic Inversion
  3. Geometric Constraints Enable Self-Supervised Sinogram Inpainting in Sparse-View Tomography
  4. Efficient Graph Laplacian Estimation by Proximal Newton
  5. Label-efficient Time Series Representation Learning: A Review
  6. A Deep Learning-based Global and Segmentation-based Semantic Feature Fusion Approach for Indoor Scene Classification
  7. Deep Orthogonal Hypersphere Compression for Anomaly Detection
  8. Linguistic ambiguity analysis in ChatGPT
  9. Sources of Richness and Ineffability for Phenomenally Conscious States
  10. Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition
  11. Self-supervised phase unwrapping in fringe projection profilometry
  12. Semantic Image Segmentation: Two Decades of Research
  13. One Transformer for All Time Series: Representing and Training with Time-Dependent Heterogeneous Tabular Data
  14. Dash: Accelerating Distributed Private Convolutional Neural Network Inference with Arithmetic Garbled Circuits
  15. Fixing Overconfidence in Dynamic Neural Networks
  16. Anticipating Next Active Objects for Egocentric Videos
  17. Detection and Segmentation of Pancreas using Morphological Snakes and Deep Convolutional Neural Networks
  18. Less is More: Selective Layer Finetuning with SubTuning
  19. Contour-based Interactive Segmentation
  20. Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation
  21. VITR: Augmenting Vision Transformers with Relation-Focused Learning for Cross-Modal Information Retrieval
  22. The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice
  23. Text2shape Deep Retrieval Model: Generating Initial Cases for Mechanical Part Redesign under the Context of Case-Based Reasoning
  24. Learning from Noisy Crowd Labels with Logics
  25. Online Arbitrary Shaped Clustering through Correlated Gaussian Functions
  26. Improving Recommendation Fairness via Data Augmentation
  27. One-Shot Federated Conformal Prediction
  28. Parameter-efficient Modularised Bias Mitigation via AdapterFusion
  29. Towards Writing Style Adaptation in Handwriting Recognition
  30. Fine-tuning Is a Surprisingly Effective Domain Adaptation Baseline in Handwriting Recognition
  31. A Neuromorphic Dataset for Object Segmentation in Indoor Cluttered Environment
  32. Homophily-oriented Heterogeneous Graph Rewiring
  33. Hyperspectral Image Super Resolution with Real Unaligned RGB Guidance
  34. CholecTriplet2022: Show me a tool and tell me the triplet -- an endoscopic vision challenge for surgical action triplet detection
  35. Content-Adaptive Motion Rate Adaption for Learned Video Compression
  36. Surface-biased Multi-Level Context 3D Object Detection
  37. Render-and-Compare: Cross-View 6 DoF Localization from Noisy Prior
  38. Do PAC-Learners Learn the Marginal Distribution?
  39. Causal Strategic Classification: A Tale of Two Shifts
  40. Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data
  41. Optimizing CT Scan Geometries With and Without Gradients
  42. Continuous-time convolutions model of event sequences
  43. Calibrating a Deep Neural Network with Its Predecessors
  44. An Order-Invariant and Interpretable Hierarchical Dilated Convolution Neural Network for Chemical Fault Detection and Diagnosis
  45. A Lifetime Extended Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles via Self-Learning Fuzzy Reinforcement Learning
  46. A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models
  47. Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data
  48. Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models
  49. Unsupervised Detection of Behavioural Drifts with Dynamic Clustering and Trajectory Analysis
  50. Variational Mixture of HyperGenerators for Learning Distributions Over Functions
  51. A Unified View of Long-Sequence Models towards Modeling Million-Scale Dependencies
  52. Precise Asymptotic Analysis of Deep Random Feature Models
  53. Order Matters: Agent-by-agent Policy Optimization
  54. Distinguishability Calibration to In-Context Learning
  55. Capsules as viewpoint learners for human pose estimation
  56. Enhancing SMT-based Weighted Model Integration by Structure Awareness
  57. Multiscale Graph Neural Network Autoencoders for Interpretable Scientific Machine Learning
  58. PUPS: Point Cloud Unified Panoptic Segmentation
  59. Anti-Compression Contrastive Facial Forgery Detection
  60. Learning and Aggregating Lane Graphs for Urban Automated Driving
  61. Evaluation of Word Embeddings for the Social Sciences
  62. Restoring the saturation response of a PMT using pulse-shape and artificial-neural-networks
  63. Sparse Dimensionality Reduction Revisited
  64. Identifying Semantically Difficult Samples to Improve Text Classification
  65. Contour Context: Abstract Structural Distribution for 3D LiDAR Loop Detection and Metric Pose Estimation
  66. CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets
  67. RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget
  68. Deep Transfer Tensor Factorization for Multi-View Learning
  69. NNKGC: Improving Knowledge Graph Completion with Node Neighborhoods
  70. Learning to Scale Temperature in Masked Self-Attention for Image Inpainting
  71. Expediting Distributed DNN Training with Device Topology-Aware Graph Deployment
  72. Knowledge from Large-Scale Protein Contact Prediction Models Can Be Transferred to the Data-Scarce RNA Contact Prediction Task
  73. The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment
  74. A Comprehensive Survey on Graph Summarization with Graph Neural Networks
  75. How to Use Dropout Correctly on Residual Networks with Batch Normalization
  76. FedDA: Faster Framework of Local Adaptive Gradient Methods via Restarted Dual Averaging
  77. Can GPT-3 Perform Statutory Reasoning?
  78. Towards Local Visual Modeling for Image Captioning
  79. Dual-layer Image Compression via Adaptive Downsampling and Spatially Varying Upconversion
  80. Learning-Based Defect Recognitions for Autonomous UAV Inspections
  81. Boosted ab initio Cryo-EM 3D Reconstruction with ACE-EM
  82. Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading
  83. Reliability Assurance for Deep Neural Network Architectures Against Numerical Defects
  84. Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler
  85. Universal Agent Mixtures and the Geometry of Intelligence
  86. Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval
  87. Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting
  88. NYCU-TWO at Memotion 3: Good Foundation, Good Teacher, then you have Good Meme Analysis
  89. A Graphical Point Process Framework for Understanding Removal Effects in Multi-Touch Attribution
  90. Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation
  91. Universal Online Optimization in Dynamic Environments via Uniclass Prediction
  92. Provably Safe Reinforcement Learning with Step-wise Violation Constraints
  93. Threatening Patch Attacks on Object Detection in Optical Remote Sensing Images
  94. Bi-directional Masks for Efficient N:M Sparse Training
  95. TIGER: Temporal Interaction Graph Embedding with Restarts
  96. Computation Offloading for Uncertain Marine Tasks by Cooperation of UAVs and Vessels
  97. CEDNet: A Cascade Encoder-Decoder Network for Dense Prediction
  98. Isotopic envelope identification by analysis of the spatial distribution of components in MALDI-MSI data
  99. Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics
  100. Predicting Class Distribution Shift for Reliable Domain Adaptive Object Detection
  101. Generalizable End-to-End Deep Learning Frameworks for Real-Time Attitude Estimation Using 6DoF Inertial Measurement Units
  102. Variational Bayesian Neural Networks via Resolution of Singularities
  103. Near-Optimal Non-Convex Stochastic Optimization under Generalized Smoothness
  104. Time-to-event modeling of subreddits transitions to r/SuicideWatch
  105. Emotion Detection in Unfix-length-Context Conversation
  106. Heckerthoughts