mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 26 Dec 2023

150 papers

  1. End-To-End Planning of Autonomous Driving in Industry and Academia: 2022-2023End-to-end autonomous driving → End-to-end system architecture
  2. Observable Propagation: Uncovering Feature Vectors in TransformersMechanistic interpretability → Knowledge and representations inside LLMs
  3. Cloud-Device Collaborative Learning for Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +2
  4. AdapterDistillation: Non-Destructive Task Composition with Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
  5. One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing ApplicationsDiffusion models → Robustness, privacy and adversarial aspects
  6. LaneSegNet: Map Learning with Lane Segment Perception for Autonomous DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
  7. A Logically Consistent Chain-of-Thought Approach for Stance DetectionLLM reasoning → Causal reasoning in LLMs
  8. LLMLight: Large Language Models as Traffic Signal Control AgentsLLM agents and tool use → Multimodal and embodied agents
  9. Detection-based Intermediate Supervision for Visual Question AnsweringLLM reasoning → Multimodal reasoning
  10. Aligning Large Language Models with Human Preferences through Representation EngineeringLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
  11. HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3DDiffusion models → 3D, point cloud and scene generation
  12. Semantic Guidance Tuning for Text-To-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  13. MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming TasksLLM reasoning → Reasoning for agents, planning and code
  14. ChartBench: A Benchmark for Complex Visual Reasoning in ChartsLLM reasoning → Multimodal reasoning +1
  15. Reinforcement UnlearningLLM safety and security → Machine unlearning
  16. Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data LimitationsOffline RL and imitation learning from data → Decision transformers and sequence modeling
  17. Align on the Fly: Adapting Chatbot Behavior to Established NormsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  18. Cross Initialization for Personalized Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
  19. Black-Box Tuning of Vision-Language Models with Effective Gradient ApproximationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  20. HyKGE: A Hypothesis Knowledge Graph Enhanced Framework for Accurate and Reliable Medical LLMs ResponsesRetrieval-augmented generation → Medical and biomedical RAG
  21. KnowledgeNavigator: Leveraging Large Language Models for Enhanced Reasoning over Knowledge GraphLLM reasoning → Knowledge- and tool-augmented reasoning
  22. Punctuation Matters! Stealthy Backdoor Attack for Language ModelsLLM safety and security → Backdoor and data poisoning attacks
  23. Knowledge Distillation of LLM for Automatic Scoring of Science Education AssessmentsKnowledge distillation → Knowledge distillation for LLMs
  24. Curriculum Design Helps Spiking Neural Networks to Classify Time Series
  25. RawECGNet: Deep Learning Generalization for Atrial Fibrillation Detection from the Raw ECG
  26. Device-Free Human State Estimation using UWB Multi-Static Radios
  27. Enhancing Low-Resource Relation Representations through Multi-View Decoupling
  28. Automatic laminectomy cutting plane planning based on artificial intelligence in robot assisted laminectomy surgery
  29. Mean-field underdamped Langevin dynamics and its spacetime discretization
  30. Smuche: Scalar-Multiplicative Caching in Homomorphic Encryption
  31. LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing
  32. Harnessing the Power of Federated Learning in Federated Contextual Bandits
  33. ATE-SG: Alternate Through the Epochs Stochastic Gradient for Multi-Task Neural Networks
  34. Universal Pyramid Adversarial Training for Improved ViT Performance
  35. State-of-the-Art in Nudity Classification: A Comparative Analysis
  36. Task Contamination: Language Models May Not Be Few-Shot Anymore
  37. Learning temporal formulas from examples is hard
  38. LeanVec: Searching vectors faster by making them fit
  39. Early and Accurate Detection of Tomato Leaf Diseases Using TomFormer
  40. Unraveling the Key Components of OOD Generalization via Diversification
  41. Zur Darstellung eines mehrstufigen Prototypbegriffs in der multilingualen automatischen Sprachgenerierung: vom Korpus "uber word embeddings bis hin zum automatischen W"orterbuch
  42. Contribuci'on de la sem'antica combinatoria al desarrollo de herramientas digitales multiling"ues
  43. Incentive-Aware Synthetic Control: Accurate Counterfactual Estimation via Incentivized Exploration
  44. Towards Flexible, Scalable, and Adaptive Multi-Modal Conditioned Face Synthesis
  45. SSR-Encoder: Encoding Selective Subject Representation for Subject-Driven Generation
  46. 360 Layout Estimation via Orthogonal Planes Disentanglement and Multi-view Geometric Consistency Perception
  47. Maximizing the Success Probability of Policy Allocations in Online Systems
  48. SPnet: Estimating Garment Sewing Patterns from a Single Image
  49. Adaptive In-Context Learning with Large Language Models for Bundle Generation
  50. More than Correlation: Do Large Language Models Learn Causal Representations of Space?
  51. DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision
  52. Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4
  53. EmbodiedScan: A Holistic Multi-Modal 3D Perception Suite Towards Embodied AI
  54. Social-Transmotion: Promptable Human Trajectory Prediction
  55. SymmPI: Predictive Inference for Data with Group Symmetries
  56. Zero-Shot Cross-Lingual Reranking with Large Language Models for Low-Resource Languages
  57. Association rule mining with earthquake data collected from Turkiye region
  58. From text to multimodal: a survey of adversarial example generation in question answering systems
  59. Clustered Orienteering Problem with Subgroups
  60. Large-scale Long-tailed Disease Diagnosis on Radiology Images
  61. The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias
  62. Towards Better Monolingual Japanese Retrievers with Multi-Vector Models
  63. On the Trajectories of SGD Without Replacement
  64. A Bayesian Framework of Deep Reinforcement Learning for Joint O-RAN/MEC Orchestration
  65. VirtualPainting: Addressing Sparsity with Virtual Points and Distance-Aware Data Augmentation for 3D Object Detection
  66. Abnormal component analysis
  67. RoleEval: A Bilingual Role Evaluation Benchmark for Large Language Models
  68. LLM-SAP: Large Language Models Situational Awareness Based Planning
  69. Olfactory Label Prediction on Aroma-Chemical Pairs
  70. A bi-objective ε-constrained framework for quality-cost optimization in language model ensembles
  71. Quantum-Hybrid Stereo Matching With Nonlinear Regularization and Spatial Pyramids
  72. fMPI: Fast Novel View Synthesis in the Wild with Layered Scene Representations
  73. Clique Analysis and Bypassing in Continuous-Time Conflict-Based Search
  74. Dotless Representation of Arabic Text: Analysis and Modeling
  75. LangSplat: 3D Language Gaussian Splatting
  76. A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs
  77. Unsupervised Learning of Phylogenetic Trees via Split-Weight Embedding
  78. Event-based Shape from Polarization with Spiking Neural Networks
  79. Can ChatGPT Read Who You Are?
  80. A Prompt Learning Framework for Source Code Summarization
  81. Error-free Training for Artificial Neural Network
  82. Inter-X: Towards Versatile Human-Human Interaction Analysis
  83. 2D-Guided 3D Gaussian Segmentation
  84. AdaNAS: Adaptively Post-processing with Self-supervised Neural Architecture Search for Ensemble Rainfall Forecasts
  85. Algebraic Positional Encodings
  86. An extended asymmetric sigmoid with Perceptron (SIGTRON) for imbalanced linear classification
  87. Multi-scale Progressive Feature Embedding for Accurate NIR-to-RGB Spectral Domain Translation
  88. Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Medical Image Segmentation
  89. Critical nonlinear aspects of hopping transport for reconfigurable logic in disordered dopant networks
  90. Ensemble Learning to Assess Dynamics of Affective Experience Ratings and Physiological Change
  91. Dynamic AGV Task Allocation in Intelligent Warehouses
  92. Plug-and-Play Regularization on Magnitude with Deep Priors for 3D Near-Field MIMO Imaging
  93. DocMSU: A Comprehensive Benchmark for Document-level Multimodal Sarcasm Understanding
  94. Robust Neural Pruning with Gradient Sampling Optimization for Residual Neural Networks
  95. Survival Analysis with Adversarial Regularization
  96. A Comprehensive Survey of Evaluation Techniques for Recommendation Systems
  97. Passive Non-Line-of-Sight Imaging with Light Transport Modulation
  98. Achieving Fairness in DareFightingICE Agents Evaluation Through a Delay Mechanism
  99. The NUS-HLT System for ICASSP2024 ICMC-ASR Grand Challenge
  100. Pricing with Contextual Elasticity and Heteroscedastic Valuation
All 150
  1. Generalization in Kernel Regression Under Realistic Assumptions
  2. Practical Bias Mitigation through Proxy Sensitive Attribute Label Generation
  3. Adaptive Kalman-based hybrid car following strategy using TD3 and CACC
  4. Discrete Messages Improve Communication Efficiency among Isolated Intelligent Agents
  5. A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels
  6. Graph Context Transformation Learning for Progressive Correspondence Pruning
  7. Learning Deformable Hypothesis Sampling for Accurate PatchMatch Multi-View Stereo
  8. Exploiting the capacity of deep networks only at training stage for nonlinear black-box system identification
  9. Federated Hyperdimensional Computing
  10. Efficient Reinforcement Learning via Decoupling Exploration and Utilization
  11. HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork
  12. BAL: Balancing Diversity and Novelty for Active Learning
  13. Pano-NeRF: Synthesizing High Dynamic Range Novel Views with Geometry from Sparse Low Dynamic Range Panoramic Images
  14. M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
  15. FedMS: Federated Learning with Mixture of Sparsely Activated Foundations Models
  16. Revealing the Proximate Long-Tail Distribution in Compositional Zero-Shot Learning
  17. Towards Probing Contact Center Large Language Models
  18. Review on Causality Detection Based on Empirical Dynamic Modeling
  19. Supervised Knowledge Makes Large Language Models Better In-context Learners
  20. Monocular 3D Hand Mesh Recovery via Dual Noise Estimation
  21. Generating and Reweighting Dense Contrastive Patterns for Unsupervised Anomaly Detection
  22. Decentralized Monte Carlo Tree Search for Partially Observable Multi-agent Pathfinding
  23. Improving Transferability for Cross-domain Trajectory Prediction via Neural Stochastic Differential Equation
  24. Chain of Generation: Multi-Modal Gesture Synthesis via Cascaded Conditional Control
  25. Recursive Distillation for Open-Set Distributed Robot Localization
  26. WWW: What, When, Where to Compute-in-Memory
  27. Semantic-aware SAM for Point-Prompted Instance Segmentation
  28. Task-Disruptive Background Suppression for Few-Shot Segmentation
  29. Towards Robust Multimodal Prompting With Missing Modalities
  30. Combining SNNs with Filtering for Efficient Neural Decoding in Implantable Brain-Machine Interfaces
  31. Attention-aware Social Graph Transformer Networks for Stochastic Trajectory Prediction
  32. PBCounter: Weighted Model Counting on Pseudo-Boolean Formulas
  33. Heterogeneous Encoders Scaling In The Transformer For Neural Machine Translation
  34. Medical Report Generation based on Segment-Enhanced Contrastive Representation Learning
  35. Restoration-Oriented Video Frame Interpolation with Region-Distinguishable Priors from SAM
  36. BalMCTS: Balancing Objective Function and Search Nodes in MCTS for Constraint Optimization Problems
  37. PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning
  38. Towards Squeezing-Averse Virtual Try-On via Sequential Deformation
  39. SCPMan: Shape Context and Prior Constrained Multi-scale Attention Network for Pancreatic Segmentation
  40. Learning Online Policies for Person Tracking in Multi-View Environments
  41. SplatMesh: Interactive 3D Segmentation and Editing Using Mesh-Based Gaussian Splatting
  42. Geometric-Aware Low-Light Image and Video Enhancement via Depth Guidance
  43. Curricular and Cyclical Loss for Time Series Learning Strategy
  44. Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket Recommendation
  45. High Efficiency Inference Accelerating Algorithm for NOMA-based Mobile Edge Computing
  46. Modality-Collaborative Transformer with Hybrid Feature Reconstruction for Robust Emotion Recognition
  47. Learning-To-Rank Approach for Identifying Everyday Objects Using a Physical-World Search Engine
  48. Masked Contrastive Reconstruction for Cross-modal Medical Image-Report Retrieval
  49. SecQA: A Concise Question-Answering Dataset for Evaluating Large Language Models in Computer Security
  50. ShallowBlocker: Improving Set Similarity Joins for Blocking