mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 5 Jul 2023

209 papers

  1. External Reasoning: Towards Multi-Large-Language-Models Interchangeable Assistance with Human FeedbackLLM reasoning → Reasoning benchmarks and evaluation +1
  2. Becoming self-instruct: introducing early stopping criteria for minimal instruct tuningSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
  3. Loss Functions and Metrics in Deep LearningRetrieval-augmented generation → Generation and context integration
  4. SkipDecode: Autoregressive Skip Decoding with Batching and Caching for Efficient LLM InferenceEfficient LLM inference and serving → Speculative decoding
  5. Automating Computational Design with Generative AIDiffusion models → 3D, point cloud and scene generation
  6. Building Cooperative Embodied Agents Modularly with Large Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
  7. Jailbroken: How Does LLM Safety Training Fail?LLM safety and security → Jailbreaking
  8. Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual TasksLLM reasoning → Reasoning benchmarks and evaluation
  9. LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse DiffusionDiffusion models → Inverse problems and image restoration
  10. FOCUS: Object-Centric World Models for Robotics ManipulationWorld models → Embodied and robot world models
  11. DragonDiffusion: Enabling Drag-style Manipulation on Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  12. RADiff: Controllable Diffusion Models for Radio Astronomical Maps GenerationDiffusion models → Inverse problems and image restoration
  13. Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic DimensionalityDiffusion models → Image generation, text-to-image and editing
  14. Focusing on what to decode and what to train: SOV Decoding with Specific Target Guided DeNoising and Vision Language AdvisorMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
  15. SVDM: Single-View Diffusion Model for Pseudo-Stereo 3D Object DetectionDiffusion models → Image generation, text-to-image and editing
  16. Self-supervised learning with diffusion-based multichannel speech enhancement for speaker verification under noisy conditionsDiffusion models → Audio, speech and music
  17. DiffFlow: A Unified SDE Framework for Score-Based Diffusion Models and Generative Adversarial NetworksDiffusion models → Diffusion foundations and sampling
  18. Prompting Diffusion Representations for Cross-Domain Semantic SegmentationDiffusion models → Medical imaging and segmentation
  19. Facing Off World Model Backbones: RNNs, Transformers, and S4World models → Latent dynamics models and model-based RL
  20. Artificial Intelligence in archival and historical scholarship workflow: HTS and ChatGPT
  21. LOB-Based Deep Learning Models for Stock Price Trend Prediction: A Benchmark Study
  22. Hoodwinked: Deception and Cooperation in a Text-Based Game for Language Models
  23. Multi-objective Deep Reinforcement Learning for Mobile Edge Computing
  24. Modular DFR: Digital Delayed Feedback Reservoir Model for Enhancing Design Flexibility
  25. Several categories of Large Language Models (LLMs): A Short Survey
  26. Personalized Privacy Amplification via Importance Sampling
  27. Multi-Scale U-Shape MLP for Hyperspectral Image Classification
  28. UX Heuristics and Checklist for Deep Learning powered Mobile Applications with Image Classification
  29. The Effects of Interaction Conflicts, Levels of Automation, and Frequency of Automation on Human Automation Trust and Acceptance
  30. Fisher-Weighted Merge of Contrastive Learning Models in Sequential Recommendation
  31. Comparing Apples to Apples: Generating Aspect-Aware Comparative Sentences from User Reviews
  32. Evaluating the Effectiveness of Large Language Models in Representing Textual Descriptions of Geometry and Spatial Relations
  33. Scaling Laws Do Not Scale
  34. OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models
  35. Kernels, Data & Physics
  36. SACHA: Soft Actor-Critic with Heuristic-Based Attention for Partially Observable Multi-Agent Path Finding
  37. Scaling In-Context Demonstrations with Structured Attention
  38. Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning
  39. Zero-Shot Dense Video Captioning by Jointly Optimizing Text and Moment
  40. A Study on the Impact of Face Image Quality on Face Recognition in the Wild
  41. Panel Data Nowcasting: The Case of Price-Earnings Ratios
  42. GIT: Detecting Uncertainty, Out-Of-Distribution and Adversarial Samples using Gradients and Invariance Transformations
  43. AI4OPT: AI Institute for Advances in Optimization
  44. Convergence of Communications, Control, and Machine Learning for Secure and Autonomous Vehicle Navigation
  45. Many-objective Optimization via Voting for Elites
  46. Spherical Feature Pyramid Networks For Semantic Segmentation
  47. A Complete Characterisation of Structured Missingness
  48. Active Class Selection for Few-Shot Class-Incremental Learning
  49. Unsupervised Sentiment Analysis of Plastic Surgery Social Media Posts
  50. Surge Routing: Event-informed Multiagent Reinforcement Learning for Autonomous Rideshare
  51. Hybrid Ground-State Quantum Algorithms based on Neural Schr"odinger Forging
  52. Stability of Q-Learning Through Design and Optimism
  53. An explainable model to support the decision about the therapy protocol for AML
  54. Real-time Workload Pattern Analysis for Large-scale Cloud Databases
  55. Retinex-based Image Denoising / Contrast Enhancement using Gradient Graph Laplacian Regularizer
  56. FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout
  57. Dynamic Observation Policies in Observation Cost-Sensitive Reinforcement Learning
  58. Federated Epidemic Surveillance
  59. Human Inspired Progressive Alignment and Comparative Learning for Grounded Word Acquisition
  60. MRecGen: Multimodal Appropriate Reaction Generator
  61. Evade ChatGPT Detectors via A Single Space
  62. Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation
  63. GNEP Based Dynamic Segmentation and Motion Estimation for Neuromorphic Imaging
  64. ODD: A Benchmark Dataset for the Natural Language Processing based Opioid Related Aberrant Behavior Detection
  65. TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers
  66. Mainline Automatic Train Horn and Brake Performance Metric
  67. Multimodal Temporal Fusion Transformers Are Good Product Demand Forecasters
  68. How accurate are existing land cover maps for agriculture in Sub-Saharan Africa?
  69. Semi-supervised Learning from Street-View Images and OpenStreetMap for Automatic Building Height Estimation
  70. Conditional Korhunen-Lo'eve regression model with Basis Adaptation for high-dimensional problems: uncertainty quantification and inverse modeling
  71. Named Entity Inclusion in Abstractive Text Summarization
  72. Conditional independence testing under misspecified inductive biases
  73. Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency
  74. Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data
  75. Wasserstein Auto-Encoders of Merge Trees (and Persistence Diagrams)
  76. ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: TREK-150 Single Object Tracking
  77. STS-CCL: Spatial-Temporal Synchronous Contextual Contrastive Learning for Urban Traffic Forecasting
  78. LongNet: Scaling Transformers to 1,000,000,000 Tokens
  79. Elastic Decision Transformer
  80. A Dataset of Inertial Measurement Units for Handwritten English Alphabets
  81. Linear Regression on Manifold Structured Data: the Impact of Extrinsic Geometry on Solutions
  82. Deductive Additivity for Planning of Natural Language Proofs
  83. What Matters in Training a GPT4-Style Language Model with Multimodal Inputs?
  84. Large-scale Detection of Marine Debris in Coastal Areas with Sentinel-2
  85. AxonCallosumEM Dataset: Axon Semantic Segmentation of Whole Corpus Callosum cross section from EM Images
  86. Expert-Agnostic Ultrasound Image Quality Assessment using Deep Variational Clustering
  87. Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources
  88. Gaussian Database Alignment and Gaussian Planted Matching
  89. DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models
  90. Transgressing the boundaries: towards a rigorous understanding of deep learning and its (non-)robustness
  91. An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source Code
  92. Exploring Continual Learning for Code Generation Models
  93. A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty
  94. Base Layer Efficiency in Scalable Human-Machine Coding
  95. In-Context Learning for Attention Scheme: from Single Softmax Regression to Multiple Softmax Regression via a Tensor Trick
  96. nu2-Flows: Fast and improved neutrino reconstruction in multi-neutrino final states with conditional normalizing flows
  97. Unbalanced Optimal Transport: A Unified Framework for Object Detection
  98. A Versatile Hub Model For Efficient Information Propagation And Feature Selection
  99. Won't Get Fooled Again: Answering Questions with False Premises
  100. Causal Discovery with Language Models as Imperfect Experts
All 209
  1. Multi-Task Learning with Summary Statistics
  2. Machine learning at the mesoscale: a computation-dissipation bottleneck
  3. Continuum Limits of Ollivier's Ricci Curvature on data clouds: pointwise consistency and global lower bounds
  4. Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions
  5. To be or not to be: a translation reception study of a literary text translated into Dutch and Catalan using machine translation
  6. Decentralized Data Governance as Part of a Data Mesh Platform: Concepts and Approaches
  7. LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning
  8. MuLMS-AZ: An Argumentative Zoning Dataset for the Materials Science Domain
  9. GAFAR: Graph-Attention Feature-Augmentation for Registration A Fast and Light-weight Point Set Registration Algorithm
  10. FAM: Relative Flatness Aware Minimization
  11. Dual Arbitrary Scale Super-Resolution for Multi-Contrast MRI
  12. Data-driven Predictive Latency for 5G: A Theoretical and Experimental Analysis Using Network Measurements
  13. MSViT: Dynamic Mixed-Scale Tokenization for Vision Transformers
  14. Algorithms, Incentives, and Democracy
  15. Deep Contract Design via Discontinuous Networks
  16. Utilizing ChatGPT Generated Data to Retrieve Depression Symptoms from Social Media
  17. Multi-Scale Prototypical Transformer for Whole Slide Image Classification
  18. Sumformer: Universal Approximation for Efficient Transformers
  19. Improving Address Matching using Siamese Transformer Networks
  20. Meta-Learning Adversarial Bandit Algorithms
  21. Performance Comparison of Large Language Models on VNHSGE English Dataset: OpenAI ChatGPT, Microsoft Bing Chat, and Google Bard
  22. Universal Scaling Laws of Absorbing Phase Transitions in Artificial Deep Neural Networks
  23. Interactive Image Segmentation with Cross-Modality Vision Transformers
  24. From NeurODEs to AutoencODEs: a mean-field control framework for width-varying Neural Networks
  25. First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs
  26. Convolutions and More as Einsum: A Tensor Network Perspective with Advances for Second-Order Methods
  27. Joint Hierarchical Priors and Adaptive Spatial Resolution for Efficient Neural Image Compression
  28. SpaceNLI: Evaluating the Consistency of Predicting Inferences in Space
  29. Dynamical Isometry based Rigorous Fair Neural Architecture Search
  30. Analyzing Different Expert-Opined Strategies to Enhance the Effect on the Goal of a Multi-Attribute Decision-Making System Using a Concept of Effort Propagation and Application in Enhancement of High School Students' Performance
  31. Multivariate Time Series Classification: A Deep Learning Approach
  32. RanPAC: Random Projections and Pre-trained Models for Continual Learning
  33. Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need
  34. S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning
  35. Set Learning for Accurate and Calibrated Models
  36. Power-up! What Can Generative Models Do for Human Computation Workflows?
  37. Source Identification: A Self-Supervision Task for Dense Prediction
  38. Hybrid additive modeling with partial dependence for supervised regression and dynamical systems forecasting
  39. MAE-DFER: Efficient Masked Autoencoder for Self-supervised Dynamic Facial Expression Recognition
  40. Direct segmentation of brain white matter tracts in diffusion MRI
  41. Personalized Federated Learning via Amortized Bayesian Meta-Learning
  42. Object Recognition System on a Tactile Device for Visually Impaired
  43. Neural Fields for Interactive Visualization of Statistical Dependencies in 3D Simulation Ensembles
  44. On the Adversarial Robustness of Generative Autoencoders in the Latent Space
  45. ChiENN: Embracing Molecular Chirality with Graph Neural Networks
  46. The FormAI Dataset: Generative AI in Software Security Through the Lens of Formal Verification
  47. Evaluating AI systems under uncertain ground truth: a case study in dermatology
  48. Citation: A Key to Building Responsible and Accountable Large Language Models
  49. Open-Source LLMs for Text Annotation: A Practical Guide for Model Setting and Fine-Tuning
  50. Safety Shielding under Delayed Observation
  51. Generative Job Recommendations with Large Language Model
  52. Harmonizing Feature Attributions Across Deep Learning Architectures: Enhancing Interpretability and Consistency
  53. Compound Attention and Neighbor Matching Network for Multi-contrast MRI Super-resolution
  54. Joint Learning of Wording and Formatting for Singable Melody-to-Lyric Generation
  55. Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives
  56. Beyond Known Reality: Exploiting Counterfactual Explanations for Medical Research
  57. Implicit Differentiation for Hyperparameter Tuning the Weighted Graphical Lasso
  58. How Deep Neural Networks Learn Compositional Data: The Random Hierarchy Model
  59. Leveraging Denoised Abstract Meaning Representation for Grammatical Error Correction
  60. Robust Graph Structure Learning with the Alignment of Features and Adjacency Matrix
  61. Multilingual Controllable Transformer-Based Lexical Simplification
  62. Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization
  63. SoK: Privacy-Preserving Data Synthesis
  64. Do predictability factors towards signing avatars hold across cultures?
  65. MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets
  66. DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications
  67. Make A Long Image Short: Adaptive Token Length for Vision Transformers
  68. Interactive Conversational Head Generation
  69. Different Games in Dialogue: Combining character and conversational types in strategic choice
  70. Leveraging multilingual transfer for unsupervised semantic acoustic word embeddings
  71. Graph Contrastive Topic Model
  72. Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment
  73. Performance Modeling of Data Storage Systems using Generative Models
  74. A Comparison of Machine Learning Methods for Data with High-Cardinality Categorical Variables
  75. Universal Rates for Multiclass Learning
  76. Line Graphics Digitization: A Step Towards Full Automation
  77. Adversarial Attacks on Image Classification Models: FGSM and Patch Attacks and their Impact
  78. Emoji Prediction in Tweets using BERT
  79. Flacuna: Unleashing the Problem Solving Power of Vicuna using FLAN Fine-Tuning
  80. Flowchase: a Mobile Application for Pronunciation Training
  81. Graph Neural Network-based Power Flow Model
  82. CAME: Confidence-guided Adaptive Memory Efficient Optimization
  83. Recommender Systems in the Era of Large Language Models (LLMs)
  84. Multimodal Imbalance-Aware Gradient Modulation for Weakly-supervised Audio-Visual Video Parsing
  85. VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks
  86. Reverse Diffusion Monte Carlo
  87. Ranking with Abstention
  88. Improving Automatic Parallel Training via Balanced Memory Workload Optimization
  89. EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models
  90. NMS Threshold matters for Ego4D Moment Queries -- 2nd place solution to the Ego4D Moment Queries Challenge 2023
  91. Using Random Effects Machine Learning Algorithms to Identify Vulnerability to Depression
  92. Generative Adversarial Networks for Dental Patient Identity Protection in Orthodontic Educational Imaging
  93. Comparative Analysis of GPT-4 and Human Graders in Evaluating Praise Given to Students in Synthetic Dialogues
  94. ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: Semi-Supervised Video Object Segmentation
  95. Using Data Augmentations and VTLN to Reduce Bias in Dutch End-to-End Speech Recognition Systems
  96. Remote Sensing Image Change Detection with Graph Interaction
  97. PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records
  98. Multi-Modal Prototypes for Open-World Semantic Segmentation
  99. Distilling Missing Modality Knowledge from Ultrasound for Endometriosis Diagnosis with Magnetic Resonance Images
  100. Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities
  101. Dynamic Feature-based Deep Reinforcement Learning for Flow Control of Circular Cylinder with Sparse Surface Pressure Sensing
  102. Unsupervised Spectral Demosaicing with Lightweight Spectral Attention Networks
  103. Task-Specific Alignment and Multiple Level Transformer for Few-Shot Action Recognition
  104. The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT
  105. A ChatGPT Aided Explainable Framework for Zero-Shot Medical Image Diagnosis
  106. ToothSegNet: Image Degradation meets Tooth Segmentation in CBCT Images
  107. Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification
  108. Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels
  109. Muti-scale Graph Neural Network with Signed-attention for Social Bot Detection: A Frequency Perspective