mlsanityData to 7 Oct 2026

Papers

New on arXiv

Tue 13 Jun 2023

219 papers

  1. AVIS: Autonomous Visual Information Seeking with Large Language Model AgentLLM agents and tool use → Multimodal and embodied agents
  2. Generating Images with 3D Annotations Using Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  3. DORSal: Diffusion for Object-centric Representations of Scenes et alDiffusion models → 3D, point cloud and scene generation
  4. Data Poisoning to Fake a Nash Equilibrium in Markov GamesLLM safety and security → Backdoor and data poisoning attacks
  5. XrayGPT: Chest Radiographs Summarization using Medical Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
  6. Hidden Biases of End-to-End Driving ModelsEnd-to-end autonomous driving → End-to-end system architecture
  7. Rerender A Video: Zero-Shot Text-Guided Video-to-Video TranslationDiffusion models → Video generation
  8. BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory InformationLLM reasoning → Reasoning benchmarks and evaluation
  9. Oracle-Efficient Pessimism: Offline Policy Optimization in Contextual BanditsOffline RL and imitation learning from data → Offline RL algorithms
  10. Skill Disentanglement for Imitation Learning from Suboptimal DemonstrationsOffline RL and imitation learning from data → Imitation learning methods
  11. Image Captioners Are Scalable Vision Learners TooMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  12. Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D DataDiffusion models → 3D, point cloud and scene generation
  13. Generative Watermarking Against Unauthorized Subject-Driven Image SynthesisLLM safety and security → Watermarking generated content and models
  14. V-LoL: A Diagnostic Dataset for Visual Logical LearningLLM reasoning → Multimodal reasoning
  15. StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language ModelsDiffusion models → Audio, speech and music
  16. Rethink the Effectiveness of Text Data Augmentation: An Empirical AnalysisLLM reasoning → Reasoning benchmarks and evaluation
  17. Human-Like Intuitive Behavior and Reasoning Biases Emerged in Language Models -- and Disappeared in GPT-4LLM reasoning → Reasoning benchmarks and evaluation
  18. Hyperbolic Graph Diffusion ModelDiffusion models → Flow matching, time series and science
  19. Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion ModelDiffusion models → Image generation, text-to-image and editing
  20. A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  21. TART: A plug-and-play Transformer module for task-agnostic reasoningLLM reasoning → Test-time compute and efficient thinking
  22. Unified Off-Policy Learning to Rank: a Reinforcement Learning PerspectiveOffline RL and imitation learning from data → Offline RL algorithms
  23. User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical SystemsDiffusion models → Diffusion foundations and sampling
  24. MapSeg: Segmentation guided structured model for online HD map construction
  25. Visual Question Answering (VQA) on Images with Superimposed Text
  26. Detect Depression from Social Networks with Sentiment Knowledge Sharing
  27. Smoothing the Rough Edges: Evaluating Automatically Generated Multi-Lattice Transitions
  28. A Shift In Artistic Practices through Artificial Intelligence
  29. NFTs to MARS: Multi-Attention Recommender System for NFTs
  30. Assigning AI: Seven Approaches for Students, with Prompts
  31. Deep Learning-Based Spatiotemporal Multi-Event Reconstruction for Delay Line Detectors
  32. MolCAP: Molecular Chemical reActivity pretraining and prompted-finetuning enhanced molecular representation learning
  33. DCTX-Conformer: Dynamic context carry-over for low latency unified streaming and non-streaming Conformer ASR
  34. Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training
  35. Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms
  36. Reinforcement Learning-Driven Linker Design via Fast Attention-based Point Cloud Alignment
  37. INT2.1: Towards Fine-Tunable Quantized Large Language Models with Error Correction through Low-Rank Adaptation
  38. h2oGPT: Democratizing Large Language Models
  39. Sociodemographic Bias in Language Models: A Survey and Forward Path
  40. Dynamic Bayesian Networks for Predicting Cryptocurrency Price Directions: Uncovering Causal Relationships
  41. (Amplified) Banded Matrix Factorization: A unified approach to private training
  42. Neural Mixed Effects for Nonlinear Personalized Predictions
  43. Multi-market Energy Optimization with Renewables via Reinforcement Learning
  44. ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations
  45. Large-scale Language Model Rescoring on Long-form Data
  46. Self-supervised Deep Hyperspectral Inpainting with the Sparsity and Low-Rank Considerations
  47. PersonaPKT: Building Personalized Dialogue Agents via Parameter-efficient Knowledge Transfer
  48. Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD
  49. Beyond Black Box AI-Generated Plagiarism Detection: From Sentence to Document Level
  50. Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations
  51. CipherSniffer: Classifying Cipher Types
  52. Provable Accelerated Convergence of Nesterov's Momentum for Deep ReLU Neural Networks
  53. AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks
  54. Model-Free Market Risk Hedging Using Crowding Networks
  55. Domain-Aware Few-Shot Learning for Optical Coherence Tomography Noise Reduction
  56. Can ChatGPT Enable ITS? The Case of Mixed Traffic Control via Reinforcement Learning
  57. Safe Use of Neural Networks
  58. Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization
  59. BPKD: Boundary Privileged Knowledge Distillation For Semantic Segmentation
  60. Tune As You Scale: Hyperparameter Optimization For Compute Efficient Training
  61. Efficient 3D Semantic Segmentation with Superpoint Transformer
  62. Pruning the Way to Reliable Policies: A Multi-Objective Deep Q-Learning Approach to Critical Care
  63. FLamE: Few-shot Learning from Natural Language Explanations
  64. Flexible Channel Dimensions for Differentiable Architecture Search
  65. Curatr: A Platform for Semantic Analysis and Curation of Historical Literary Texts
  66. Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
  67. Realising Synthetic Active Inference Agents, Part I: Epistemic Objectives and Graphical Specification Language
  68. TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models
  69. A Novel Scheme to classify Read and Spontaneous Speech
  70. Privacy Inference-Empowered Stealthy Backdoor Attack on Federated Learning under Non-IID Scenarios
  71. Domain Information Control at Inference Time for Acoustic Scene Classification
  72. DHBE: Data-free Holistic Backdoor Erasing in Deep Neural Networks via Restricted Adversarial Distillation
  73. Dynamic Interval Restrictions on Action Spaces in Deep Reinforcement Learning for Obstacle Avoidance
  74. Leveraging dendritic properties to advance machine learning and neuro-inspired computing
  75. Pose-aware Attention Network for Flexible Motion Retargeting by Body Part
  76. Detection and classification of faults aimed at preventive maintenance of PV systems
  77. DTW k-means clustering for fault detection in photovoltaic modules
  78. A Markovian Formalism for Active Querying
  79. Improving Zero-Shot Detection of Low Prevalence Chest Pathologies using Domain Pre-trained Language Models
  80. Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracy
  81. Neural Scene Chronology
  82. GeneCIS: A Benchmark for General Conditional Image Similarity
  83. arXiVeri: Automatic table verification with GPT
  84. One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning
  85. Parting with Misconceptions about Learning-based Vehicle Motion Planning
  86. Differentiating Metropolis-Hastings to Optimize Intractable Densities
  87. Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching
  88. Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings
  89. Adaptive Monte Carlo Search for Conjecture Refutation in Graph Theory
  90. MOFI: Learning Image Representations from Noisy Entity Annotated Images
  91. Questioning the Survey Responses of Large Language Models
  92. Continuous Cost Aggregation for Dual-Pixel Disparity Extraction
  93. Causal Mediation Analysis with Multi-dimensional and Indirectly Observed Mediators
  94. Identification of Nonlinear Latent Hierarchical Models
  95. WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences
  96. Omega: Optimistic EMA Gradients
  97. Tight Memory-Regret Lower Bounds for Streaming Bandits
  98. Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark
  99. Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production Tasks
  100. iSLAM: Imperative SLAM
All 219
  1. Robustly Learning a Single Neuron via Sharpness
  2. VISION Datasets: A Benchmark for Vision-based InduStrial InspectiON
  3. Symmetry & Critical Points for Symmetric Tensor Decomposition Problems
  4. Temporal Gradient Inversion Attacks with Robust Optimization
  5. Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity
  6. ReadProbe: A Demo of Retrieval-Enhanced Large Language Models to Support Lateral Reading
  7. Taxonomy-Structured Domain Adaptation
  8. Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control
  9. Additive Causal Bandits with Unknown Graph
  10. Bayesian Program Learning by Decompiling Amortized Knowledge
  11. Show me the numbers! -- Student-facing Interventions in Adaptive Learning Environments for German Spelling
  12. Exact Mean Square Linear Stability Analysis for SGD
  13. GEmo-CLAP: Gender-Attribute-Enhanced Contrastive Language-Audio Pretraining for Accurate Speech Emotion Recognition
  14. Adversarial Capsule Networks for Romanian Satire Detection and Sentiment Analysis
  15. PSSTRNet: Progressive Segmentation-guided Scene Text Removal Network
  16. LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds
  17. Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images
  18. Unsupervised speech enhancement with deep dynamical generative speech and noise models
  19. A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement Learning
  20. Automated 3D Pre-Training for Molecular Property Prediction
  21. Low-Resource White-Box Semantic Segmentation of Supporting Towers on 3D Point Clouds via Signature Shape Identification
  22. Inferring dynamic regulatory interaction graphs from time series data with perturbations
  23. ChatGPT vs Human-authored Text: Insights into Controllable Text Summarization and Sentence Style Transfer
  24. Monolingual and Cross-Lingual Knowledge Transfer for Topic Classification
  25. Finite Gaussian Neurons: Defending against adversarial attacks by making neural networks say "I don't know"
  26. Rethinking Polyp Segmentation from an Out-of-Distribution Perspective
  27. NoCoLA: The Norwegian Corpus of Linguistic Acceptability
  28. A Cloud-based Machine Learning Pipeline for the Efficient Extraction of Insights from Customer Reviews
  29. Compositionally Equivariant Representation Learning
  30. iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios
  31. The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions
  32. Amortized Simulation-Based Frequentist Inference for Tractable and Intractable Likelihoods
  33. Area is all you need: repeatable elements make stronger adversarial attacks
  34. Tokenization with Factorized Subword Encoding
  35. NAVER LABS Europe's Multilingual Speech Translation Systems for the IWSLT 2023 Low-Resource Track
  36. Multi-Fidelity Multi-Armed Bandits Revisited
  37. Generated Graph Detection
  38. Provably Learning Nash Policies in Constrained Markov Potential Games
  39. Kernelized Reinforcement Learning with Order Optimal Regret Bounds
  40. Contrastive Learning-Based Audio to Lyrics Alignment for Multiple Languages
  41. Stepsize Learning for Policy Gradient Methods in Contextual Markov Decision Processes
  42. Robustness and Generalization Performance of Deep Learning Models on Cyber-Physical Systems: A Comparative Study
  43. Discrete Graph Auto-Encoder
  44. BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via Belief Propagation
  45. Automatic and Accurate Classification of Hotel Bathrooms from Images with Deep Learning
  46. Effects of Data Enrichment with Image Transformations on the Performance of Deep Networks
  47. Theoretical Foundations of Adversarially Robust Learning
  48. Contextual Dictionary Lookup for Knowledge Graph Completion
  49. Dynamically Masked Discriminator for Generative Adversarial Networks
  50. Robustness of SAM: Segment Anything Under Corruptions and Beyond
  51. Coordinated Dynamic Bidding in Repeated Second-Price Auctions with Budgets
  52. Towards Explainable TOPSIS: Visual Insights into the Effects of Weights and Aggregations on Rankings
  53. E2E-LOAD: End-to-End Long-form Online Action Detection
  54. Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs
  55. Few-shot Multi-domain Knowledge Rearming for Context-aware Defence against Advanced Persistent Threats
  56. Lookaround Optimizer: k steps around, 1 step average
  57. Localization of Just Noticeable Difference for Image Compression
  58. An Interleaving Semantics of the Timed Concurrent Language for Argumentation to Model Debates and Dialogue Games
  59. Differentially Private One Permutation Hashing and Bin-wise Consistent Weighted Sampling
  60. Unique Characterisability and Learnability of Temporal Queries Mediated by an Ontology
  61. Is Anisotropy Inherent to Transformers?
  62. Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems
  63. Automating Microservices Test Failure Analysis using Kubernetes Cluster Logs
  64. Variational Positive-incentive Noise: How Noise Benefits Models
  65. Modality Adaption or Regularization? A Case Study on End-to-End Speech Translation
  66. Sea Ice Segmentation From SAR Data by Convolutional Transformer Networks
  67. Enhanced Multimodal Representation Learning with Cross-modal KD
  68. SRATTA : Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning
  69. On Guiding Search in HTN Temporal Planning with non Temporal Heuristics
  70. For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI
  71. Hybrid lemmatization in HuSpaCy
  72. Exploiting Configurations of MaxSAT Solvers
  73. NeuS-PIR: Learning Relightable Neural Surface using Pre-Integrated Rendering
  74. SqueezeLLM: Dense-and-Sparse Quantization
  75. Rank-Aware Negative Training for Semi-Supervised Text Classification
  76. UOD: Universal One-shot Detection of Anatomical Landmarks
  77. Revisiting and Advancing Adversarial Training Through A Simple Baseline
  78. Soft Language Clustering for Multilingual Model Pre-training
  79. Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs
  80. Practice with Graph-based ANN Algorithms on Sparse Data: Chi-square Two-tower model, HNSW, Sign Cauchy Projections
  81. Towards a Machine-Learned Poisson Solver for Low-Temperature Plasma Simulations in Complex Geometries
  82. Intrusion Detection: A Deep Learning Approach
  83. Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB Images
  84. Question Decomposition Tree for Answering Complex Questions over Knowledge Bases
  85. I See Dead People: Gray-Box Adversarial Attack on Image-To-Text Models
  86. Binary Radiance Fields
  87. Parametric Implicit Face Representation for Audio-Driven Facial Reenactment
  88. Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization
  89. Large Language Models Sometimes Generate Purely Negatively-Reinforced Text
  90. Learning with Selectively Labeled Data from Multiple Decision-makers
  91. Marking anything: application of point cloud in extracting video target features
  92. HAUSER: Towards Holistic and Automatic Evaluation of Simile Generation
  93. DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback
  94. Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second
  95. Fixed-Budget Best-Arm Identification with Heterogeneous Reward Variances
  96. On Achieving Optimal Adversarial Test Error
  97. A Versatile Multi-Agent Reinforcement Learning Benchmark for Inventory Management
  98. Referring Camouflaged Object Detection
  99. Using Collision Momentum in Deep Reinforcement Learning Based Adversarial Pedestrian Modeling
  100. Instruct-ReID: A Multi-purpose Person Re-identification Task with Instructions
  101. Decoding Brain Motor Imagery with various Machine Learning techniques
  102. A Survey on Video Moment Localization
  103. Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning
  104. PaVa: a novel Path-based Valley-seeking clustering algorithm
  105. Adding guardrails to advanced chatbots
  106. Improving Opinion-based Question Answering Systems Through Label Error Detection and Overwrite
  107. GQFedWAvg: Optimization-Based Quantized Federated Learning in General Edge Computing Systems
  108. Top-Down Framework for Weakly-supervised Grounded Image Captioning
  109. PauseSpeech: Natural Speech Synthesis via Pre-trained Language Model and Pause-based Prosody Modeling
  110. Knowledge-Prompted Estimator: A Novel Approach to Explainable Machine Translation Assessment
  111. Learning Unnormalized Statistical Models via Compositional Optimization
  112. Multi-objective Molecular Optimization for Opioid Use Disorder Treatment Using Generative Network Complex
  113. Semi-supervised learning made simple with self-supervised clustering
  114. Incentivizing High-Quality Content in Online Recommender Systems
  115. AniFaceDrawing: Anime Portrait Exploration during Your Sketching
  116. 3D molecule generation by denoising voxel grids
  117. Von Mises Mixture Distributions for Molecular Conformation Generation
  118. Resources for Brewing BEIR: Reproducible Reference Models and an Official Leaderboard
  119. Reviving Shift Equivariance in Vision Transformers