mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 3 Feb 2024

180 papers

  1. Machine Unlearning in Large Language ModelsLLM safety and security → Machine unlearning
  2. MinMaxMin Q-learningDeep reinforcement learning methods → RL theory and sample complexity
  3. SQT -- std Q-targetDeep reinforcement learning methods → RL theory and sample complexity
  4. DE3-BERT: Distance-Enhanced Early Exiting for BERT based on Prototypical NetworksEfficient LLM inference and serving → Early exit and edge inference
  5. Separable Multi-Concept Erasure from Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  6. More Agents Is All You NeedLLM agents and tool use → General LLM agent frameworks and benchmarks
  7. Denoising Diffusion-Based Control of Nonlinear SystemsDiffusion models → Diffusion and flow policies for robotics
  8. Attention-Mamba: A Mamba-Enhanced Multi-Scale Parallel Inference Network for Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  9. SynthDST: Synthetic Data is All You Need for Few-Shot Dialog State TrackingSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
  10. Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  11. Image Fusion via Vision-Language ModelMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  12. Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language ModelsLLM safety and security → Vision-language and text-to-image safety
  13. GPT-4V as Traffic Assistant: An In-depth Look at Vision Language Model on Complex Traffic EventsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
  14. CodeAgent: Autonomous Communicative Agents for Code ReviewLLM agents and tool use → Software engineering coding agents
  15. Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-errorDeep reinforcement learning methods → Adversarial robustness and RL in finance
  16. Data Poisoning for In-context LearningLLM safety and security → Backdoor and data poisoning attacks
  17. Improving Diffusion Models for Inverse Problems Using Optimal Posterior CovarianceDiffusion models → Inverse problems and image restoration
  18. Emergency Computing: An Adaptive Collaborative Inference Method Based on Hierarchical Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  19. Do Moral Judgment and Reasoning Capability of LLMs Change with Language? A Study using the Multilingual Defining Issues TestLLM reasoning → Reasoning benchmarks and evaluation
  20. GITA: Graph to Visual and Textual Integration for Vision-Language Graph ReasoningLLM reasoning → Multimodal reasoning
  21. S-NeRF++: Autonomous Driving Simulation via Neural Reconstruction and GenerationWorld models → World models for autonomous driving
  22. D'ej`a Vu Memorization in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  23. GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative DecodingEfficient LLM inference and serving → Speculative decoding
  24. Risk-Sensitive Diffusion: Robustly Optimizing Diffusion Models with Noisy SamplesDiffusion models → Diffusion foundations and sampling
  25. Break the Sequential Dependency of LLM Inference Using Lookahead DecodingEfficient LLM inference and serving → Speculative decoding
  26. Variance Alignment Score: A Simple But Tough-to-Beat Data Selection Method for Multimodal Contrastive LearningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  27. Affordable Generative AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  28. Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient AlgorithmDeep reinforcement learning methods → RL theory and sample complexity
  29. Panacea: Pareto Alignment via Preference Adaptation for LLMsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  30. A Survey of Constraint Formulations in Safe Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
  31. Adaptive Q-Aid for Conditional Supervised Learning in Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  32. Precise Knowledge Transfer via Flow MatchingDiffusion models → Flow matching, time series and science
  33. A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future DirectionsLLM agents and tool use → General LLM agent frameworks and benchmarks
  34. Analyzing Neural Network-Based Generative Diffusion Models through Convex OptimizationDiffusion models → Diffusion foundations and sampling
  35. Change Point Detection with Copula Entropy based Two-Sample Test
  36. Digital Video Manipulation Detection Technique Based on Compression Algorithms
  37. AI in ESG for Financial Institutions: An Industrial Survey
  38. Feasibility of Identifying Factors Related to Alzheimer's Disease and Related Dementia in Real-World Data
  39. Data Distribution Dynamics in Real-World WiFi-Based Patient Activity Monitoring for Home Healthcare
  40. Towards the Human Digital Twin: Definition and Design -- A survey
  41. An explainable machine learning-based approach for analyzing customers' online data to identify the importance of product attributes
  42. Unveiling Latent Causal Rules: A Temporal Point Process Approach for Abnormal Event Explanation
  43. Eliminating Information Leakage in Hard Concept Bottleneck Models with Supervised, Hierarchical Concept Learning
  44. A Closer Look at the Limitations of Instruction Tuning
  45. Capturing the Unseen: Vision-Free Facial Motion Capture Using Inertial Measurement Units
  46. BetterV: Controlled Verilog Generation with Discriminative Guidance
  47. Predicting positive transfer for improved low-resource speech recognition using acoustic pseudo-tokens
  48. A Review and Comparison of AI Enhanced Side Channel Analysis
  49. Polyp-DAM: Polyp segmentation via depth anything model
  50. Goodness-of-Fit and Clustering of Spherical Data: the QuadratiK package in R and Python
  51. SemPool: Simple, robust, and interpretable KG pooling for enhancing language models
  52. textitA Contrario Paradigm for YOLO-based Infrared Small Target Detection
  53. Future Directions in the Theory of Graph Machine Learning
  54. Causal Bayesian Optimization via Exogenous Distribution Learning
  55. SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach
  56. InceptionCapsule: Inception-Resnet and CapsuleNet with self-attention for medical image Classification
  57. Federated Learning with New Knowledge: Fundamentals, Advances, and Futures
  58. Characterization of the Distortion-Perception Tradeoff for Finite Channels with Arbitrary Metrics
  59. MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers
  60. Data Quality Matters: Suicide Intention Detection on Social Media Posts Using RoBERTa-CNN
  61. XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications
  62. Frequency Explains the Inverse Correlation of Large Language Models' Size, Training Data Amount, and Surprisal's Fit to Reading Times
  63. Teacher-Student Learning based Low Complexity Relay Selection in Wireless Powered Communications
  64. Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget
  65. ExTTNet: A Deep Learning Algorithm for Extracting Table Texts from Invoice Images
  66. Revisiting Generative Adversarial Networks for Binary Semantic Segmentation on Imbalanced Datasets
  67. Language Writ Large: LLMs, ChatGPT, Grounding, Meaning and Understanding
  68. Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey and Benchmark
  69. Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein
  70. Federated Learning with Differential Privacy
  71. Vanilla Bayesian Optimization Performs Great in High Dimensions
  72. Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks
  73. MSPM: A Multi-Site Physiological Monitoring Dataset for Remote Pulse, Respiration, and Blood Pressure Estimation
  74. Machine Intelligence in Africa: a survey
  75. CoFiNet: Unveiling Camouflaged Objects with Multi-Scale Finesse
  76. Position: Graph Foundation Models are Already Here
  77. A Survey to Recent Progress Towards Understanding In-Context Learning
  78. Query-decision Regression between Shortest Path and Minimum Steiner Tree
  79. Wavelet-Decoupling Contrastive Enhancement Network for Fine-Grained Skeleton-Based Action Recognition
  80. On the Exploitation of DCT-Traces in the Generative-AI Domain
  81. Implicit Neural Representation of Tileable Material Textures
  82. Co-orchestration of Multiple Instruments to Uncover Structure-Property Relationships in Combinatorial Libraries
  83. Sample-Efficient "Clustering and Conquer" Procedures for Parallel Large-Scale Ranking and Selection
  84. RecNet: An Invertible Point Cloud Encoding through Range Image Embeddings for Multi-Robot Map Sharing and Reconstruction
  85. Continuous Parallel Relaxation for Finding Diverse Solutions in Combinatorial Optimization Problems
  86. Diabetes detection using deep learning techniques with oversampling and feature augmentation
  87. Evolution Guided Generative Flow Networks
  88. Sentiment analysis in non-fixed length audios using a Fully Convolutional Neural Network
  89. Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data
  90. Diffusion Cross-domain Recommendation
  91. An Ontology-Based multi-domain model in Social Network Analysis: Experimental validation and case study
  92. Enhancing Complex Question Answering over Knowledge Graphs through Evidence Pattern Retrieval
  93. Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction
  94. Enhancing Cross-domain Link Prediction via Evolution Process Modeling
  95. Vi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting Generative AI-based Visualizations
  96. Hierarchical Structure Enhances the Convergence and Generalizability of Linear Molecular Representation
  97. A Bayesian cluster validity index
  98. Evaluating the Robustness of Off-Road Autonomous Driving Segmentation against Adversarial Attacks: A Dataset-Centric analysis
  99. Position Paper: Why the Shooting in the Dark Method Dominates Recommender Systems Practice; A Call to Abandon Anti-Utopian Thinking
  100. Data-Driven Prediction of Seismic Intensity Distributions Featuring Hybrid Classification-Regression Models
All 180
  1. Analyzing Sentiment Polarity Reduction in News Presentation through Contextual Perturbation and Large Language Models
  2. Probing Critical Learning Dynamics of PLMs for Hate Speech Detection
  3. Zero-shot sketch-based remote sensing image retrieval based on multi-level and attention-guided tokenization
  4. Generative Visual Compression: A Review
  5. Using Deep Ensemble Forest for High Resolution Mapping of PM2.5 from MODIS MAIAC AOD in Tehran, Iran
  6. Grammar-based evolutionary approach for automated workflow composition with domain-specific operators and ensemble diversity
  7. Enhancing crop classification accuracy by synthetic SAR-Optical data generation using deep learning
  8. Handling Delayed Feedback in Distributed Online Optimization : A Projection-Free Approach
  9. Zero-shot Sentiment Analysis in Low-Resource Languages Using a Multilingual Sentiment Lexicon
  10. Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need
  11. Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees
  12. Synthetic-To-Real Video Person Re-ID
  13. ParZC: Parametric Zero-Cost Proxies for Efficient NAS
  14. Learning Structure-Aware Representations of Dependent Types
  15. Are Large Language Models Good Prompt Optimizers?
  16. Analyzing the Evaluation of Cross-Lingual Knowledge Transfer in Multilingual Language Models
  17. Self-attention Networks Localize When QK-eigenspectrum Concentrates
  18. Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing
  19. UMCFuse: A Unified Multiple Complex Scenes Infrared and Visible Image Fusion Framework
  20. Contrasting Adversarial Perturbations: The Space of Harmless Perturbations
  21. Deep Semantic-Visual Alignment for Zero-Shot Remote Sensing Image Scene Classification
  22. All-weather Multi-Modality Image Fusion: Unified Framework and 100k Benchmark
  23. Mitigating Prior Shape Bias in Point Clouds via Differentiable Center Learning
  24. Detecting AI-Generated Video via Frame Consistency
  25. Revisiting the Markov Property for Machine Translation
  26. Translation Errors Significantly Impact Low-Resource Languages in Cross-Lingual Learning
  27. Prototypical Contrastive Learning through Alignment and Uniformity for Recommendation
  28. Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German Varieties
  29. Investigating Content Planning for Navigating Trade-offs in Knowledge-Grounded Dialogue
  30. Multi-RoI Human Mesh Recovery with Camera Consistency and Contrastive Losses
  31. RIDERS: Radar-Infrared Depth Estimation for Robust Sensing
  32. Trustworthiness of mathbbX Users: A One-Class Classification Approach
  33. Training Implicit Networks for Image Deblurring using Jacobian-Free Backpropagation
  34. DiffVein: A Unified Diffusion Network for Finger Vein Segmentation and Authentication
  35. AnthroScore: A Computational Linguistic Measure of Anthropomorphism
  36. Towards Neural Scaling Laws on Graphs
  37. Feature Selection using the concept of Peafowl Mating in IDS
  38. Nonlinear subspace clustering by functional link neural networks
  39. Calibration and Correctness of Language Models for Code
  40. TCI-Former: Thermal Conduction-Inspired Transformer for Infrared Small Target Detection
  41. MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning
  42. Locally-Adaptive Quantization for Streaming Vector Search
  43. A Plug-in Tiny AI Module for Intelligent and Selective Sensor Data Transmission
  44. Alpha-divergence loss function for neural density ratio estimation
  45. EffiBench: Benchmarking the Efficiency of Automatically Generated Code
  46. Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks
  47. CEPA: Consensus Embedded Perturbation for Agnostic Detection and Inversion of Backdoors
  48. Benchmark for CEC 2024 Competition on Multiparty Multiobjective Optimization
  49. RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies
  50. Multi-fidelity physics constrained neural networks for dynamical systems
  51. ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image Segmentation
  52. Unlearnable Examples For Time Series
  53. Multimodal-Enhanced Objectness Learner for Corner Case Detection in Autonomous Driving
  54. Self-Supervised Contrastive Learning for Long-term Forecasting
  55. Transfer Learning in ECG Diagnosis: Is It Effective?
  56. NeuV-SLAM: Fast Neural Multiresolution Voxel Optimization for RGBD Dense SLAM
  57. The Landscape and Challenges of HPC Research and LLMs
  58. GenFormer: A Deep-Learning-Based Approach for Generating Multivariate Stochastic Processes
  59. Robust Multi-Task Learning with Excess Risks
  60. How well do LLMs cite relevant medical references? An evaluation framework and analyses
  61. Understanding Time Series Anomaly State Detection through One-Class Classification
  62. PresAIse, A Prescriptive AI Solution for Enterprises
  63. Topology-Informed Graph Transformer
  64. GenFace: A Large-Scale Fine-Grained Face Forgery Benchmark and Cross Appearance-Edge Learning
  65. A Survey on Graph Condensation
  66. A Novel Hyperdimensional Computing Framework for Online Time Series Forecasting on the Edge
  67. Online Uniform Sampling: Randomized Learning-Augmented Approximation Algorithms with Application to Digital Health
  68. Human-Centered Privacy Research in the Age of Large Language Models
  69. Online Transfer Learning for RSV Case Detection
  70. Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes
  71. SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks
  72. MasonPerplexity at ClimateActivism 2024: Integrating Advanced Ensemble Techniques and Data Augmentation for Climate Activism Stance and Hate Event Identification
  73. Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks
  74. Hypergraph-Transformer (HGT) for Interactive Event Prediction in Laparoscopic and Robotic Surgery
  75. Combining T-learning and DR-learning: a framework for oracle-efficient estimation of causal contrasts
  76. BVI-Lowlight: Fully Registered Benchmark Dataset for Low-Light Video Enhancement
  77. Simulation-Enhanced Data Augmentation for Machine Learning Pathloss Prediction
  78. MasonPerplexity at Multimodal Hate Speech Event Detection 2024: Hate Speech and Target Detection Using Transformer Ensembles
  79. Scalable and Efficient Temporal Graph Representation Learning via Forward Recent Sampling
  80. Improving Large-Scale k-Nearest Neighbor Text Categorization with Label Autoencoders