mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 16 Jun 2023

210 papers

  1. Evaluating the Robustness of Text-to-image Diffusion Models against Real-world AttacksDiffusion models → Robustness, privacy and adversarial aspects
  2. Aligning Synthetic Medical Images with Clinical Knowledge using Human FeedbackDiffusion models → Medical imaging and segmentation
  3. Structured Thoughts Automaton: First Formalized Execution Model for Auto-Regressive Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  4. Meta-Personalizing Vision-Language Models to Find Named Instances in VideoMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  5. Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic VideosMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
  6. Coaching a Teachable StudentKnowledge distillation → On-policy and self-distillation for LLMs
  7. Investigating Prompting Techniques for Zero- and Few-Shot Visual Question AnsweringMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  8. Towards Better Certified Segmentation via Diffusion ModelsDiffusion models → Medical imaging and segmentation
  9. Knowledge Distillation for Efficient Audio-Visual Video CaptioningKnowledge distillation → Multimodal distillation
  10. Drag-guided diffusion models for vehicle image generationDiffusion models → Flow matching, time series and science
  11. No Strong Feelings One Way or Another: Re-operationalizing Neutrality in Natural Language InferenceLLM reasoning → Reasoning benchmarks and evaluation
  12. Squeezing nnU-Nets with Knowledge Distillation for On-Board Cloud DetectionKnowledge distillation → Detection and dense prediction distillation
  13. Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  14. AvatarBooth: High-Quality and Customizable 3D Human Avatar GenerationDiffusion models → 3D, point cloud and scene generation
  15. MixedTeacher : Knowledge Distillation for fast inference textural anomaly detectionKnowledge distillation → Detection and dense prediction distillation
  16. Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and BeyondLLM reasoning → Reasoning benchmarks and evaluation
  17. Mimicking Better by Matching the Approximate Action DistributionOffline RL and imitation learning from data → Imitation learning methods
  18. The Big Data Myth: Using Diffusion Models for Dataset Generation to Train Deep Detection ModelsDiffusion models → Image generation, text-to-image and editing
  19. Automatic Trade-off Adaptation in Offline RLOffline RL and imitation learning from data → Offline RL algorithms
  20. Semi-Offline Reinforcement Learning for Optimized Text GenerationOffline RL and imitation learning from data → Offline RL algorithms
  21. Scaling Open-Vocabulary Object DetectionMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
  22. CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision ModelsDiffusion models → Audio, speech and music
  23. TSNet-SAC: Leveraging Transformers for Efficient Task Scheduling
  24. GPT4 is Slightly Helpful for Peer-Review Assistance: A Pilot Study
  25. Schema-learning and rebinding as mechanisms of in-context learning and emergence
  26. Investigating Masking-based Data Generation in Language Models
  27. A Low-rank Matching Attention based Cross-modal Feature Fusion Method for Conversational Emotion Recognition
  28. Masked Contrastive Graph Representation Learning for Age Estimation
  29. Clickbait Classification and Spoiling Using Natural Language Processing
  30. Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses
  31. ZeRO++: Extremely Efficient Collective Communication for Giant Model Training
  32. Learning Space-Time Semantic Correspondences
  33. Stretched sinograms for limited-angle tomographic reconstruction with neural networks
  34. Artificial Intelligence for Technical Debt Management in Software Development
  35. Conformal Language Modeling
  36. Neural Priming for Sample-Efficient Adaptation
  37. ALP: Action-Aware Embodied Learning for Perception
  38. MOCK: an Algorithm for Learning Nonparametric Differential Equations via Multivariate Occupation Kernel Functions
  39. Spatial-SpinDrop: Spatial Dropout-based Binary Bayesian Neural Network with Spintronics Implementation
  40. Catastrophic Forgetting in the Context of Model Updates
  41. Samplet basis pursuit: Multiresolution scattered data approximation with sparsity constraints
  42. Magnificent Minified Models
  43. Bootstrapped Representations in Reinforcement Learning
  44. Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis
  45. Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values
  46. MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction
  47. Building the Bridge of Schr"odinger: A Continuous Entropic Optimal Transport Benchmark
  48. On Orderings of Probability Vectors and Unsupervised Performance Estimation
  49. Learning-Augmented Decentralized Online Convex Optimization in Networks
  50. Fairness in Multi-Task Learning via Wasserstein Barycenters
  51. Semi-supervised Relation Extraction via Data Augmentation and Consistency-training
  52. Calculating the matrix profile from noisy data
  53. Multi-task 3D building understanding with multi-modal pretraining
  54. Enhancing Visual Domain Adaptation with Source Preparation
  55. Dynamic Size Message Scheduling for Multi-Agent Communication under Limited Bandwidth
  56. Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis
  57. Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
  58. Dual Node and Edge Fairness-Aware Graph Partition
  59. Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph Generation
  60. A Comprehensive Modeling Approach for Crop Yield Forecasts using AI-based Methods and Crop Simulation Models
  61. Differentiable Instruction Optimization for Cross-Task Generalization
  62. CML-TTS A Multilingual Dataset for Speech Synthesis in Low-Resource Languages
  63. Memory-Constrained Algorithms for Convex Optimization via Recursive Cutting-Planes
  64. AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology
  65. Acoustic Identification of Ae. aegypti Mosquitoes using Smartphone Apps and Residual Convolutional Neural Networks
  66. Improving Audio Caption Fluency with Automatic Error Correction
  67. FABLE : Fabric Anomaly Detection Automation Process
  68. ActiveGLAE: A Benchmark for Deep Active Learning with Transformers
  69. Convolutional and Deep Learning based techniques for Time Series Ordinal Classification
  70. Automatic Deduction Path Learning via Reinforcement Learning with Environmental Correction
  71. DreamCatcher: Revealing the Language of the Brain with fMRI using GPT Embedding
  72. Optimizer's Information Criterion: Dissecting and Correcting Bias in Data-Driven Optimization
  73. AI Driven Near Real-time Locational Marginal Pricing Method: A Feasibility and Robustness Study
  74. M3PT: A Multi-Modal Model for POI Tagging
  75. Stacking of Hyperparameter Tuned Models for Tagging Coding Problems
  76. Matrix Diagonalization as a Board Game: Teaching an Eigensolver the Fastest Path to Solution
  77. Just One Byte (per gradient): A Note on Low-Bandwidth Decentralized Language Model Finetuning Using Shared Randomness
  78. PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation
  79. MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing
  80. CLIP2Protect: Protecting Facial Privacy using Text-Guided Makeup via Adversarial Latent Search
  81. Robot Learning with Sensorimotor Pre-training
  82. Unsupervised Learning of Style-Aware Facial Animation from Real Acting Performances
  83. C2F2NeUS: Cascade Cost Frustum Fusion for High Fidelity and Generalizable Neural Surface Reconstruction
  84. Group Orthogonalization Regularization For Vision Models Adaptation and Robustness
  85. SLACK: Stable Learning of Augmentations with Cold-start and KL regularization
  86. Fairness in Preference-based Reinforcement Learning
  87. Rewriting the Script: Adapting Text Instructions for Voice Interaction
  88. Ensemble Framework for Cardiovascular Disease Prediction
  89. Transforming Observations of Ocean Temperature with a Deep Convolutional Residual Regressive Neural Network
  90. Evaluating Superhuman Models with Consistency Checks
  91. Creating Multi-Level Skill Hierarchies in Reinforcement Learning
  92. Evaluation of Speech Representations for MOS prediction
  93. Adversarially robust clustering with optimality guarantees
  94. Enhancing Fault Resilience of QNNs by Selective Neuron Splitting
  95. Continual Adaptation of Vision Transformers for Federated Learning
  96. ClinicalGPT: Large Language Models Finetuned with Diverse Medical Data and Comprehensive Evaluation
  97. Data-Driven Model Discrimination of Switched Nonlinear Systems with Temporal Logic Inference
  98. The Evolution theory of Learning: From Natural Selection to Reinforcement Learning
  99. Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign?
  100. You Don't Need Robust Machine Learning to Manage Adversarial Attack Risks
All 210
  1. Nearly-Optimal Hierarchical Clustering for Well-Clustered Graphs
  2. RealImpact: A Dataset of Impact Sound Fields for Real Objects
  3. Vehicle Occurrence-based Parking Space Detection
  4. Towards Better Orthogonality Regularization with Disentangled Norm in Training Deep CNNs
  5. A Metaheuristic-based Machine Learning Approach for Energy Prediction in Mobile App Development
  6. Friend or Foe? Exploring the Implications of Large Language Models on the Science System
  7. Trained Transformers Learn Linear Models In-Context
  8. Learning to Summarize and Answer Questions about a Virtual Robot's Past Actions
  9. Towards Quantum Federated Learning
  10. LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning
  11. Neural Volumetric Reconstruction for Coherent Synthetic Aperture Sonar
  12. Correlation Clustering of Bird Sounds
  13. Is Self-Repair a Silver Bullet for Code Generation?
  14. Studying Generalization on Memory-Based Methods in Continual Learning
  15. CANDID: Correspondence AligNment for Deep-burst Image Denoising
  16. Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX
  17. Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction
  18. Revealing the impact of social circumstances on the selection of cancer therapy through natural language processing of social work notes
  19. Going public: the role of public participation approaches in commercial AI labs
  20. Transferability of Winning Lottery Tickets in Neural Network Differential Equation Solvers
  21. DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting
  22. Prototype Learning for Explainable Brain Age Prediction
  23. Joint multi-modal Self-Supervised pre-training in Remote Sensing: Application to Methane Source Classification
  24. Practical Sharpness-Aware Minimization Cannot Converge All the Way to Optima
  25. Wasserstein distributional robustness of neural networks
  26. Super-Resolution Radar Imaging with Sparse Arrays Using a Deep Neural Network Trained with Enhanced Virtual Data
  27. Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions
  28. Sheffield's Submission to the AmericasNLP Shared Task on Machine Translation into Indigenous Languages
  29. Building Blocks for a Complex-Valued Transformer Architecture
  30. Process Knowledge-infused Learning for Clinician-friendly Explanations
  31. Lightweight Attribute Localizing Models for Pedestrian Attribute Recognition
  32. Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulator to Enhance Dialogue System
  33. Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels
  34. HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation
  35. DisasterNets: Embedding Machine Learning in Disaster Mapping
  36. Investigating the Utility of Surprisal from Large Language Models for Speech Synthesis Prosody
  37. FALL-E: A Foley Sound Synthesis Model and Strategies
  38. Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization
  39. REDrm FM: a Filtered and Multilingual Relation Extraction Dataset
  40. Semantics-Aware Next-best-view Planning for Efficient Search and Detection of Task-relevant Plant Parts
  41. π2vec: Policy Representations with Successor Features
  42. GPINN: Physics-informed Neural Network with Graph Embedding
  43. The Information Bottleneck's Ordinary Differential Equation: First-Order Root-Tracking for the IB
  44. Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes
  45. Full Parameter Fine-tuning for Large Language Models with Limited Resources
  46. Understanding Deep Generative Models with Generalized Empirical Likelihoods
  47. Gradient is All You Need? How Consensus-Based Optimization can be Interpreted as a Stochastic Relaxation of Gradient Descent
  48. Inspire creativity with ORIBA: Transform Artists' Original Characters into Chatbots through Large Language Model
  49. Using Machine Learning Methods for Automation of Size Grid Building and Management
  50. Politeness Stereotypes and Attack Vectors: Gender Stereotypes in Japanese and Korean Language Models
  51. Fedstellar: A Platform for Decentralized Federated Learning
  52. Finite-Time Analysis of Temporal Difference Learning with Experience Replay
  53. Meta Generative Flow Networks with Personalization for Task-Specific Adaptation
  54. Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints
  55. Using Natural Language Processing and Networks to Automate Structured Literature Reviews: An Application to Farmers Climate Change Adaptation
  56. Parameter-efficient is not sufficient: Exploring Parameter, Memory, and Time Efficient Adapter Tuning for Dense Predictions
  57. Discourse Representation Structure Parsing for Chinese
  58. Pushing the Limits of ChatGPT on NLP Tasks
  59. Label-noise-tolerant medical image classification via self-attention and self-supervised learning
  60. Representation and decomposition of functions in DAG-DNNs and structural network pruning
  61. Reducing Computational Costs in Sentiment Analysis: Tensorized Recurrent Networks vs. Recurrent Networks
  62. Cross-corpus Readability Compatibility Assessment for English Texts
  63. A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning
  64. End-to-End Vectorized HD-map Construction with Piecewise Bezier Curve
  65. Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data
  66. Linear convergence of forward-backward accelerated algorithms without knowledge of the modulus of strong convexity
  67. Echocardiography Segmentation Using Neural ODE-based Diffeomorphic Registration Field
  68. Collapsed Inference for Bayesian Deep Learning
  69. OCTScenes: A Versatile Real-World Dataset of Tabletop Scenes for Object-Centric Learning
  70. Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Macromolecular Signal
  71. Multi-View Class Incremental Learning
  72. Multi-Classification using One-versus-One Deep Learning Strategy with Joint Probability Estimates
  73. A Smooth Binary Mechanism for Efficient Private Continual Observation
  74. Cooperative Multi-Objective Reinforcement Learning for Traffic Signal Control and Carbon Emission Reduction
  75. Online Distillation for Pseudo-Relevance Feedback
  76. Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions
  77. A New Low-Rank Learning Robust Quaternion Tensor Completion Method for Color Video Inpainting Problem and Fast Algorithms
  78. ReactGenie: A Development Framework for Complex Multimodal Interactions Using Large Language Models
  79. Learning CO2 plume migration in faulted reservoirs with Graph Neural Networks
  80. Vacant Holes for Unsupervised Detection of the Outliers in Compact Latent Representation
  81. BISCUIT: Causal Representation Learning from Binary Interactions
  82. Cross-Domain Toxic Spans Detection
  83. DeepMPR: Enhancing Opportunistic Routing in Wireless Networks through Multi-Agent Deep Reinforcement Learning
  84. The False Dawn: Reevaluating Google's Reinforcement Learning for Chip Macro Placement
  85. AUGUST: an Automatic Generation Understudy for Synthesizing Conversational Recommendation Datasets
  86. Fusing Structural and Functional Connectivities using Disentangled VAE for Detecting MCI
  87. Structural Restricted Boltzmann Machine for image denoising and classification
  88. PAtt-Lite: Lightweight Patch and Attention MobileNet for Challenging Facial Expression Recognition
  89. Power-law Dynamic arising from machine learning
  90. From Hypergraph Energy Functions to Hypergraph Neural Networks
  91. Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions
  92. EVOPOSE: A Recursive Transformer For 3D Human Pose Estimation With Kinematic Structure Priors
  93. HomoGCL: Rethinking Homophily in Graph Contrastive Learning
  94. UTOPIA: Unconstrained Tracking Objects without Preliminary Examination via Cross-Domain Adaptation
  95. GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification
  96. CHORUS: Foundation Models for Unified Data Discovery and Exploration
  97. Listener Model for the PhotoBook Referential Game with CLIPScores as Implicit Reference Chain
  98. Clickbait Detection via Large Language Models
  99. Structured Cooperative Learning with Graphical Model Priors
  100. CMLM-CSE: Based on Conditional MLM Contrastive Learning for Sentence Embeddings
  101. FETNet: Feature Erasing and Transferring Network for Scene Text Removal
  102. FewSAR: A Few-shot SAR Image Classification Benchmark
  103. A Vision-based Autonomous Perching Approach for Nano Aerial Vehicles
  104. The 1st-place Solution for CVPR 2023 OpenLane Topology in Autonomous Driving Challenge
  105. Understanding the Role of Feedback in Online Learning with Switching Costs
  106. Is the Volume of a Credal Set a Good Measure for Epistemic Uncertainty?
  107. Fuzzy Feature Selection with Key-based Cryptographic Transformations
  108. MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification
  109. How do different tokenizers perform on downstream tasks in scriptio continua languages?: A case study in Japanese
  110. Reproducibility in NLP: What Have We Learned from the Checklist?