mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 25 Oct 2023

322 papers

  1. RAEDiff: Denoising Diffusion Probabilistic Models Based Reversible Adversarial Examples Self-Generation and Self-RecoveryDiffusion models → Robustness, privacy and adversarial aspects
  2. FuXi-Extreme: Improving extreme rainfall and wind forecasts with diffusion modelDiffusion models → Flow matching, time series and science
  3. Apollo: Zero-shot MultiModal Reasoning with Multiple ExpertsLLM reasoning → Multimodal reasoning
  4. Will releasing the weights of future large language models grant widespread access to pandemic agents?LLM agents and tool use → Agent threats, guardrails and governance
  5. An Integrative Survey on Mental Health Conversational Agents to Bridge Computer Science and Medical PerspectivesLLM agents and tool use → Medical and scientific domain agents
  6. Privately Aligning Language Models with Reinforcement LearningLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  7. Zephyr: Direct Distillation of LM AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  8. SparseDFF: Sparse-View Feature Distillation for One-Shot Dexterous ManipulationKnowledge distillation → Multimodal distillation
  9. Discrete Diffusion Modeling by Estimating the Ratios of the Data DistributionDiffusion models → Discrete and text diffusion
  10. TD-MPC2: Scalable, Robust World Models for Continuous ControlWorld models → Latent dynamics models and model-based RL
  11. CommonCanvas: An Open Diffusion Model Trained with Creative-Commons ImagesDiffusion models → Diffusion foundations and sampling
  12. DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion PriorDiffusion models → 3D, point cloud and scene generation
  13. QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter ModelsMixture-of-experts → MoE large language models
  14. Using Diffusion Models to Generate Synthetic Labelled Data for Medical Image SegmentationDiffusion models → Medical imaging and segmentation
  15. Multi-scale Diffusion Denoised SmoothingDiffusion models → Robustness, privacy and adversarial aspects
  16. SuperHF: Supervised Iterative Learning from Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  17. HI-TOM: A Benchmark for Evaluating Higher-Order Theory of Mind Reasoning in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  18. Disentangling Extraction and Reasoning in Multi-hop Spatial ReasoningLLM reasoning → Spatial and embodied reasoning
  19. MultiPrompter: Cooperative Prompt Optimization with Multi-Agent Reinforcement LearningLLM agents and tool use → General LLM agent frameworks and benchmarks
  20. SkyMath: Technical ReportLLM reasoning → Mathematical reasoning
  21. Local Statistics for Generative Image DetectionDiffusion models → Image generation, text-to-image and editing
  22. BabyStories: Can Reinforcement Learning Teach Baby Language Models to Write Better Stories?LLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  23. A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image GenerationDiffusion models → Image generation, text-to-image and editing
  24. Adapt Anything: Tailor Any Image Classifiers across Domains And Categories Using Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  25. Model-enhanced Contrastive Reinforcement Learning for Sequential RecommendationOffline RL and imitation learning from data → Decision transformers and sequence modeling
  26. R3 Prompting: Review, Rephrase and Resolve for Chain-of-Thought Reasoning in Large Language Models under Noisy ContextLLM reasoning → Prompting and chain-of-thought reasoning
  27. ClearMark: Intuitive and Robust Model Watermarking via Transposed Model TrainingLLM safety and security → Watermarking generated content and models
  28. DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language ModelsLLM reasoning → Multimodal reasoning
  29. Graph Agent: Explicit Reasoning Agent for GraphsLLM reasoning → Knowledge- and tool-augmented reasoning +1
  30. Open Knowledge Base Canonicalization with Multi-task UnlearningLLM safety and security → Machine unlearning
  31. Binary State Recognition by Robots using Visual Question Answering of Pre-Trained Vision-Language ModelMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  32. Fuse Your Latents: Video Editing with Multi-source Latent Diffusion ModelsDiffusion models → Video generation
  33. DiffRef3D: A Diffusion-based Proposal Refinement Framework for 3D Object DetectionDiffusion models → Image generation, text-to-image and editing
  34. RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language ModelsLLM agents and tool use → Software engineering coding agents
  35. Generative Pre-training for Speech with Flow MatchingDiffusion models → Audio, speech and music
  36. Removing Dust from CMB Observations with Diffusion ModelsDiffusion models → Inverse problems and image restoration
  37. CycleAlign: Iterative Distillation from Black-box LLM to White-box Models for Better Human AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  38. Ordinal Classification with Distance Regularization for Robust Brain Age Prediction
  39. Multi-label Text Classification using GloVe and Neural Network Models
  40. Sanity checks for patch visualisation in prototype-based image classification
  41. TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs
  42. A versatile circuit for emulating active biological dendrites applied to sound localisation and neuron imitation
  43. On the stability, correctness and plausibility of visual explanation methods based on feature importance
  44. Joint Multi-View Collaborative Clustering
  45. Adversarial sample generation and training using geometric masks for accurate and resilient license plate character recognition
  46. LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking
  47. Muslim-Violence Bias Persists in Debiased GPT Models
  48. Unsupervised Learning of Molecular Embeddings for Enhanced Clustering and Emergent Properties for Chemical Compounds
  49. A Multilingual Virtual Guide for Self-Attachment Technique
  50. Using GPT-4 to Augment Unbalanced Data for Automatic Scoring
  51. Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs
  52. Early Detection of Tuberculosis with Machine Learning Cough Audio Analysis: Towards More Accessible Global Triaging Usage
  53. Hierarchical Text Spotter for Joint Text Spotting and Layout Analysis
  54. Transfer of Reinforcement Learning-Based Controllers from Model- to Hardware-in-the-Loop
  55. Unknown Health States Recognition With Collective Decision Based Deep Learning Networks In Predictive Maintenance Applications
  56. An Approach for Efficient Neural Architecture Search Space Definition
  57. math-PVS: A Large Language Model Framework to Map Scientific Publications to PVS Theories
  58. Coreset Markov Chain Monte Carlo
  59. Strategizing EV Charging and Renewable Integration in Texas
  60. BOOST: Harnessing Black-Box Control to Boost Commonsense in LMs' Generation
  61. Exploring Question Decomposition for Zero-Shot VQA
  62. Learning Repeatable Speech Embeddings Using An Intra-class Correlation Regularizer
  63. Learning to Rank for Active Learning via Multi-Task Bilevel Optimization
  64. Stochastic Gradient Sampling for Enhancing Neural Networks Training
  65. On Surgical Fine-tuning for Language Encoders
  66. Follow-on Question Suggestion via Voice Hints for Voice Assistants
  67. Quantum Long Short-Term Memory (QLSTM) vs Classical LSTM in Time Series Forecasting: A Comparative Study in Solar Power Forecasting
  68. netFound: Principled Design for Network Foundation Models
  69. On the Identifiability and Interpretability of Gaussian Process Models
  70. Controlled Decoding from Language Models
  71. Streaming Factor Trajectory Learning for Temporal Tensor Decomposition
  72. Conditionally Combining Robot Skills using Large Language Models
  73. Data Augmentation for Emotion Detection in Small Imbalanced Text Data
  74. Personalized Speech-driven Expressive 3D Facial Animation Synthesis with Style Control
  75. This Reads Like That: Deep Learning for Interpretable Natural Language Processing
  76. Simulation-based stacking
  77. Faster Recalibration of an Online Predictor via Approachability
  78. Trust, but Verify: Robust Image Segmentation using Deep Learning
  79. Towards Continually Learning Application Performance Models
  80. TOP-Training: Target-Oriented Pretraining for Medical Extractive Question Answering
  81. How well can machine-generated texts be identified and can language models be trained to avoid identification?
  82. An Efficient Deep Learning-based approach for Recognizing Agricultural Pests in the Wild
  83. STEER: Semantic Turn Extension-Expansion Recognition for Voice Assistants
  84. Probabilistic Integral Circuits
  85. Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark
  86. Unsupervised Domain Adaptation for Semantic Segmentation with Pseudo Label Self-Refinement
  87. The Significance of Machine Learning in Clinical Disease Diagnosis: A Review
  88. Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference
  89. Understanding Social Structures from Contemporary Literary Fiction using Character Interaction Graph -- Half Century Chronology of Influential Bengali Writers
  90. Critic-Driven Decoding for Mitigating Hallucinations in Data-to-text Generation
  91. Improving Few-shot Generalization of Safety Classifiers via Data Augmented Parameter-Efficient Fine-Tuning
  92. Transferring a molecular foundation model for polymer property predictions
  93. Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks
  94. Improving Performance in Colorectal Cancer Histology Decomposition using Deep and Ensemble Machine Learning
  95. Causal Q-Aggregation for CATE Model Selection
  96. Exploring Behavior Discovery Methods for Heterogeneous Swarms of Limited-Capability Robots
  97. Cross-lingual Transfer in Programming Languages: An Extensive Empirical Study
  98. Diagnosing Alzheimer's Disease using Early-Late Multimodal Data Fusion with Jacobian Maps
  99. CL-MASR: A Continual Learning Benchmark for Multilingual ASR
  100. Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors
All 322
  1. Wide Flat Minimum Watermarking for Robust Ownership Verification of GANs
  2. MimicTouch: Leveraging Multi-modal Human Tactile Demonstrations for Contact-rich Manipulation
  3. Transformer-based Atmospheric Density Forecasting
  4. MCUFormer: Deploying Vision Transformers on Microcontrollers with Limited Memory
  5. Divide et Impera: Multi-Transformer Architectures for Complex NLP-Tasks
  6. SonoSAMTrack -- Segment and Track Anything on Ultrasound Images
  7. MACP: Efficient Model Adaptation for Cooperative Perception
  8. An Explainable Deep Learning-Based Method For Schizophrenia Diagnosis Using Generative Data-Augmentation
  9. Graph-based multimodal multi-lesion DLBCL treatment response prediction from PET images
  10. Balancing Augmentation with Edge-Utility Filter for Signed GNNs
  11. General Point Model with Autoencoding and Autoregressive
  12. 4D-Editor: Interactive Object-level Editing in Dynamic Neural Radiance Fields via Semantic Distillation
  13. Improvement in Alzheimer's Disease MRI Images Analysis by Convolutional Neural Networks Via Topological Optimization
  14. GraFT: Gradual Fusion Transformer for Multimodal Re-Identification
  15. RDBench: ML Benchmark for Relational Databases
  16. LLM-FP4: 4-Bit Floating-Point Quantized Transformers
  17. Proposal-Contrastive Pretraining for Object Detection from Fewer Data
  18. LightSpeed: Light and Fast Neural Light Fields on Mobile Devices
  19. PERF: Panoramic Neural Radiance Field from a Single Panorama
  20. Deep machine learning for meteor monitoring: advances with transfer learning and gradient-weighted class activation mapping
  21. Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation Extraction
  22. CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression
  23. Can GPT models Follow Human Summarization Guidelines? A Study for Targeted Communication Goals
  24. Exploring OCR Capabilities of GPT-4V(ision) : A Quantitative and In-depth Evaluation
  25. Fingervein Verification using Convolutional Multi-Head Attention Network
  26. Learning COVID-19 Regional Transmission Using Universal Differential Equations in a SIR model
  27. Language Agnostic Code Embeddings
  28. From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction
  29. Learning Generalizable Program and Architecture Representations for Performance Modeling
  30. Covert Planning against Imperfect Observers
  31. Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances
  32. Detecting Pretraining Data from Large Language Models
  33. The GOOSE Dataset for Perception in Unstructured Environments
  34. The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI
  35. Optimal Inflationary Potentials
  36. S3-TTA: Scale-Style Selection for Test-Time Augmentation in Biomedical Image Segmentation
  37. Kiki or Bouba? Sound Symbolism in Vision-and-Language Models
  38. MixerFlow: MLP-Mixer meets Normalising Flows
  39. DEFT: Data Efficient Fine-Tuning for Pre-Trained Language Models via Unsupervised Core-Set Selection
  40. AI Agent as Urban Planner: Steering Stakeholder Dynamics in Urban Planning via Consensus-based Multi-Agent Reinforcement Learning
  41. ConvNets Match Vision Transformers at Scale
  42. IntenDD: A Unified Contrastive Learning Approach for Intent Detection and Discovery
  43. CAD -- Contextual Multi-modal Alignment for Dynamic AVQA
  44. PROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction
  45. Simple, Scalable and Effective Clustering via One-Dimensional Projections
  46. Metrically Scaled Monocular Depth Estimation through Sparse Priors for Underwater Robots
  47. DISCO: A Large Scale Human Annotated Corpus for Disfluency Correction in Indo-European Languages
  48. HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis
  49. Interferometric Neural Networks
  50. Stochastic Latent Transformer: Efficient Modelling of Stochastically Forced Zonal Jets
  51. Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation
  52. Translating Universal Scene Descriptions into Knowledge Graphs for Robotic Environment
  53. Mapping the Empirical Evidence of the GDPR (In-)Effectiveness: A Systematic Review
  54. A No-Reference Quality Assessment Method for Digital Human Head
  55. AI Hazard Management: A framework for the systematic management of root causes for AI risks
  56. Prompt-Driven Building Footprint Extraction in Aerial Images with Offset-Building Model
  57. LLM Performance Predictors are good initializers for Architecture Search
  58. Nighttime Driver Behavior Prediction Using Taillight Signal Recognition via CNN-SVM Classifier
  59. Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference
  60. Human-centred explanation of rule-based decision-making systems in the legal domain
  61. Causal Discovery with Generalized Linear Models through Peeling Algorithms
  62. Interpretable time series neural representation for classification purposes
  63. From Pointwise to Powerhouse: Initialising Neural Networks with Generative Models
  64. DSAM-GN:Graph Network based on Dynamic Similarity Adjacency Matrices for Vehicle Re-identification
  65. Learning-based adaption of robotic friction models
  66. Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies
  67. Detection of news written by the ChatGPT through authorship attribution performed by a Bidirectional LSTM model
  68. Robust and Actively Secure Serverless Collaborative Learning
  69. SSLCL: An Efficient Model-Agnostic Supervised Contrastive Learning Framework for Emotion Recognition in Conversations
  70. Exploring Large Language Models for Code Explanation
  71. CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection
  72. Robust Source-Free Domain Adaptation for Fundus Image Segmentation
  73. Deep Learning Techniques for Cervical Cancer Diagnosis based on Pathology and Colposcopy Images
  74. Multi-Agent Reinforcement Learning-Based UAV Pathfinding for Obstacle Avoidance in Stochastic Environment
  75. Towards Control-Centric Representations in Reinforcement Learning from Images
  76. ChatGPT is a Potential Zero-Shot Dependency Parser
  77. Adaptive importance sampling for heavy-tailed distributions via α-divergence minimization
  78. How Robust is Federated Learning to Communication Error? A Comparison Study Between Uplink and Downlink Channels
  79. Posterior Consistency for Missing Data in Variational Autoencoders
  80. Achieving Constraints in Neural Networks: A Stochastic Augmented Lagrangian Approach
  81. Model predictive control-based value estimation for efficient reinforcement learning
  82. EmoCLIP: A Vision-Language Method for Zero-Shot Video Facial Expression Recognition
  83. Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving
  84. Double Debiased Covariate Shift Adaptation Robust to Density-Ratio Estimation
  85. Photometric Redshifts with Copula Entropy
  86. EdgeCalib: Multi-Frame Weighted Edge Features for Automatic Targetless LiDAR-Camera Calibration
  87. Free-form Flows: Make Any Architecture a Normalizing Flow
  88. ArTST: Arabic Text and Speech Transformer
  89. SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence
  90. Real-time 6-DoF Pose Estimation by an Event-based Camera using Active LED Markers
  91. Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching Network
  92. Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors
  93. Performative Prediction: Past and Future
  94. On the Interplay between Fairness and Explainability
  95. AirFL-Mem: Improving Communication-Learning Trade-Off by Long-Term Memory
  96. Parcel loss prediction in last-mile delivery: deep and non-deep approaches with insights from Explainable AI
  97. Balancing central and marginal rejection when combining independent significance tests
  98. Beyond IID weights: sparse and low-rank deep Neural Networks are also Gaussian Processes
  99. Over-the-air Federated Policy Gradient
  100. mathbbVD-mathbbGR: Boosting mathbbVisual mathbbDialog with Cascaded Spatial-Temporal Multi-Modal mathbbGRaphs
  101. Multi-Task Wavelength-Multiplexed Reservoir Computing Using a Silicon Microring Resonator
  102. Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations
  103. Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models
  104. UPLex: Fine-Grained Personality Control in Large Language Models via Unsupervised Lexical Modulation
  105. Hybrid Minimax-MCTS and Difficulty Adjustment for General Game Playing
  106. WSDMS: Debunk Fake News via Weakly Supervised Detection of Misinforming Sentences with Contextualized Social Wisdom
  107. Mapping the magnetic field using a magnetometer array with noisy input Gaussian process regression
  108. Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression
  109. Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models
  110. Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask Detection
  111. 1-PAGER: One Pass Answer Generation and Evidence Retrieval
  112. Resurrecting Label Propagation for Graphs with Heterophily and Label Noise
  113. DECWA : Density-Based Clustering using Wasserstein Distance
  114. Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion
  115. ParisLuco3D: A high-quality target dataset for domain generalization of LiDAR perception
  116. Dual Defense: Adversarial, Traceable, and Invisible Robust Watermarking against Face Swapping
  117. FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning
  118. An Early Evaluation of GPT-4V(ision)
  119. Learning Robust Deep Visual Representations from EEG Brain Recordings
  120. CUNI Submission to MRL 2023 Shared Task on Multi-lingual Multi-task Information Retrieval
  121. Enhancing Document Information Analysis with Multi-Task Pre-training: A Robust Approach for Information Extraction in Visually-Rich Documents
  122. Cyclic Directed Probabilistic Graphical Model: A Proposal Based on Structured Outcomes
  123. Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data
  124. Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting
  125. Towards Self-Interpretable Graph-Level Anomaly Detection
  126. OccuQuest: Mitigating Occupational Bias for Inclusive Large Language Models
  127. Particle-based Variational Inference with Generalized Wasserstein Gradient Flow
  128. Identifying Reasons for Bias: An Argumentation-Based Approach
  129. Assessing the overall and partial causal well-specification of nonlinear additive noise models
  130. Data Optimization in Deep Learning: A Survey
  131. Citizen participation: crowd-sensed sustainable indoor location services
  132. Lang3DSG: Language-based contrastive pre-training for 3D Scene Graph prediction
  133. On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection
  134. TSONN: Time-stepping-oriented neural network for solving partial differential equations
  135. Hyperparameter Optimization for Multi-Objective Reinforcement Learning
  136. A Comprehensive Python Library for Deep Learning-Based Event Detection in Multivariate Time Series Data and Information Retrieval in NLP
  137. Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training
  138. Gramian Attention Heads are Strong yet Efficient Vision Learners
  139. Show from Tell: Audio-Visual Modelling in Clinical Settings
  140. Policy Optimization via Adv2: Adversarial Learning on Advantage Functions
  141. Semiring Provenance for Lightweight Description Logics
  142. Learning Continuous Network Emerging Dynamics from Scarce Observations via Data-Adaptive Stochastic Processes
  143. DualMatch: Robust Semi-Supervised Learning with Dual-Level Interaction
  144. Towards Explainability in Monocular Depth Estimation
  145. Faithful Path Language Modeling for Explainable Recommendation over Knowledge Graph
  146. CLEX: Continuous Length Extrapolation for Large Language Models
  147. ChimpACT: A Longitudinal Dataset for Understanding Chimpanzee Behaviors
  148. Diversity Enhanced Narrative Question Generation for Storybooks
  149. Grokking in Linear Estimators -- A Solvable Model that Groks without Understanding
  150. Non-isotropic Persistent Homology: Leveraging the Metric Dependency of PH
  151. On Pixel-level Performance Assessment in Anomaly Detection
  152. An Integrative Paradigm for Enhanced Stroke Prediction: Synergizing XGBoost and xDeepFM Algorithms
  153. PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization
  154. Enhanced Simultaneous Machine Translation with Word-level Policies
  155. FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning
  156. Decoding Stumpers: Large Language Models vs. Human Problem-Solvers
  157. Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero
  158. Multiple Key-value Strategy in Recommendation Systems Incorporating Large Language Model
  159. Information-Theoretic Generalization Analysis for Topology-aware Heterogeneous Federated Edge Learning over Noisy Channels
  160. Radio Frequency Fingerprinting via Deep Learning: Challenges and Opportunities
  161. Video Referring Expression Comprehension via Transformer with Content-conditioned Query
  162. Graph Neural Networks with a Distribution of Parametrized Graphs
  163. Learning Efficient Surrogate Dynamic Models with Graph Spline Networks
  164. ZGUL: Zero-shot Generalization to Unseen Languages using Multi-source Ensembling of Language Adapters
  165. Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization
  166. MVFAN: Multi-View Feature Assisted Network for 4D Radar Object Detection
  167. Deepfake Detection: Leveraging the Power of 2D and 3D CNN Ensembles
  168. Frequency-Aware Transformer for Learned Image Compression
  169. Distributed Uncertainty Quantification of Kernel Interpolation on Spheres
  170. Open-NeRF: Towards Open Vocabulary NeRF Decomposition
  171. A model for multi-attack classification to improve intrusion detection performance using deep learning approaches
  172. Evaluating General-Purpose AI with Psychometrics
  173. GADY: Unsupervised Anomaly Detection on Dynamic Graphs
  174. DyExplainer: Explainable Dynamic Graph Neural Networks
  175. Joint Distributional Learning via Cramer-Wold Distance
  176. Transformer-based Live Update Generation for Soccer Matches from Microblog Posts
  177. Towards Large-scale Masked Face Recognition
  178. Finite-Time Analysis of Three-Timescale Constrained Actor-Critic and Constrained Natural Actor-Critic Algorithms
  179. Neural Potential Field for Obstacle-Aware Local Motion Planning
  180. InstructPTS: Instruction-Tuning LLMs for Product Title Summarization
  181. A Comprehensive Review of AI-enabled Unmanned Aerial Vehicle: Trends, Vision , and Challenges
  182. From Simple to Complex: A Progressive Framework for Document-level Informative Argument Extraction
  183. A Multi-Modal Multilingual Benchmark for Document Image Classification
  184. RedCoast: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs
  185. Unraveling Feature Extraction Mechanisms in Neural Networks
  186. Evaluating, Understanding, and Improving Constrained Text Generation for Large Language Models
  187. SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process
  188. Defense Against Model Extraction Attacks on Recommender Systems
  189. Structured Multi-Track Accompaniment Arrangement via Style Prior Modelling
  190. Corrupting Neuron Explanations of Deep Visual Features
  191. Brain-Inspired Reservoir Computing Using Memristors with Tunable Dynamics and Short-Term Plasticity
  192. CoheSentia: A Novel Benchmark of Incremental versus Holistic Assessment of Coherence in Generated Texts
  193. Reinforcement Learning for SBM Graphon Games with Re-Sampling
  194. Personalized Federated X -armed Bandit
  195. Samsung R&D Institute Philippines at WMT 2023
  196. Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte Carlo
  197. DiQAD: A Benchmark Dataset for End-to-End Open-domain Dialogue Assessment
  198. Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder
  199. Sum-of-Parts: Self-Attributing Neural Networks with End-to-End Learning of Feature Groups
  200. Understanding Code Semantics: An Evaluation of Transformer Models in Summarization
  201. Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process with Uncertainty Quantification
  202. Dolfin: Diffusion Layout Transformers without Autoencoder
  203. URL-BERT: Training Webpage Representations via Social Media Engagements
  204. Imperfect Digital Twin Assisted Low Cost Reinforcement Training for Multi-UAV Networks
  205. Is ChatGPT a Good Multi-Party Conversation Solver?
  206. Instance-wise Linearization of Neural Network for Model Interpretation
  207. Crowd-Certain: Label Aggregation in Crowdsourced and Ensemble Learning Classification
  208. MotionAGFormer: Enhancing 3D Human Pose Estimation with a Transformer-GCNFormer Network
  209. TransPose: 6D Object Pose Estimation with Geometry-Aware Transformer
  210. XFEVER: Exploring Fact Verification across Languages
  211. Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions
  212. Deep Learning for Plant Identification and Disease Classification from Leaf Images: Multi-prediction Approaches
  213. Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism
  214. Multilingual Coarse Political Stance Classification of Media. The Editorial Line of a ChatGPT and Bard Newspaper
  215. Student Classroom Behavior Detection based on Spatio-Temporal Network and Multi-Model Fusion
  216. Enhancing Large Language Models for Secure Code Generation: A Dataset-driven Study on Vulnerability Mitigation
  217. rTisane: Externalizing conceptual models for data analysis increases engagement with domain knowledge and improves statistical model quality
  218. The Distributional Hypothesis Does Not Fully Explain the Benefits of Masked Language Model Pretraining
  219. A Causal Disentangled Multi-Granularity Graph Classification Method
  220. UAV-Sim: NeRF-based Synthetic Data Generation for UAV-based Perception
  221. ConDefects: A New Dataset to Address the Data Leakage Concern for LLM-based Fault Localization and Program Repair
  222. Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling Bandits