mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 16 Oct 2023

335 papers

  1. DavIR: Data Selection via Implicit Reward for Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  2. Eco-Driving Control of Connected and Automated Vehicles using Neural Network based RolloutEnd-to-end autonomous driving → Cooperative and V2X driving
  3. CoTFormer: A Chain-of-Thought Driven Architecture with Budget-Adaptive Computation Cost at InferenceLLM reasoning → Prompting and chain-of-thought reasoning
  4. Survey of Vulnerabilities in Large Language Models Revealed by Adversarial AttacksLLM safety and security → Jailbreaking
  5. SD-HuBERT: Sentence-Level Self-Distillation Induces Syllabic Organization in HuBERTKnowledge distillation → Speech and audio distillation
  6. LAMP: Learn A Motion Pattern for Few-Shot-Based Video GenerationDiffusion models → Video generation
  7. Theory of Mind for Multi-Agent Collaboration via Large Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
  8. Bridging Code Semantic and LLMs: Semantic Chain-of-Thought Prompting for Code GenerationLLM reasoning → Reasoning for agents, planning and code
  9. A Survey on Video Diffusion ModelsDiffusion models → Video generation
  10. LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed PromptsDiffusion models → Image generation, text-to-image and editing
  11. Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion ModelsWorld models → Embodied and robot world models +1
  12. OpenAgents: An Open Platform for Language Agents in the WildLLM agents and tool use → General LLM agent frameworks and benchmarks
  13. Llemma: An Open Language Model For MathematicsLLM reasoning → Mathematical reasoning
  14. DynVideo-E: Harnessing Dynamic NeRF for Large-Scale Motion- and View-Change Human-Centric Video EditingDiffusion models → 3D, point cloud and scene generation
  15. Generation or Replication: Auscultating Audio Latent Diffusion ModelsDiffusion models → Audio, speech and music
  16. Mastering the Task of Open Information Extraction with Large Language Models and Consistent Reasoning EnvironmentLLM reasoning → Reasoning benchmarks and evaluation
  17. RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language ModelingRetrieval-augmented generation → Generation and context integration
  18. Sample Complexity of Preference-Based Nonparametric Off-Policy Evaluation with Deep NetworksLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  19. ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language ModelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  20. Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake AnalysisLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  21. Stance Detection with Collaborative Role-Infused LLM-Based AgentsLLM agents and tool use → Social simulation and multi-agent debate
  22. MechGPT, a language-based strategy for mechanics and materials modeling that connects knowledge across scales, disciplines and modalitiesRetrieval-augmented generation → Medical and biomedical RAG
  23. EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic ActivitiesWorld models → World models for language agents +1
  24. Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense NormsLLM reasoning → Multimodal reasoning
  25. Attribution Patching Outperforms Automated Circuit DiscoveryMechanistic interpretability → Circuits and mechanistic analysis
  26. Scene Graph Conditioning in Latent DiffusionDiffusion models → Image generation, text-to-image and editing
  27. End-to-end Offline Reinforcement Learning for Glycemia ControlOffline RL and imitation learning from data → Safe offline RL
  28. RoboLLM: Robotic Vision Tasks Grounded on Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  29. Self-supervised Fetal MRI 3D Reconstruction Based on Radiation Diffusion Generation ModelDiffusion models → Medical imaging and segmentation
  30. Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real WorldLLM reasoning → Multimodal reasoning
  31. TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language ModelsLLM reasoning → Mathematical reasoning
  32. Leveraging Knowledge Distillation for Efficient Deep Reinforcement Learning in Resource-Constrained EnvironmentsKnowledge distillation → On-policy and self-distillation for LLMs
  33. Character-LLM: A Trainable Agent for Role-PlayingLLM agents and tool use → Social simulation and multi-agent debate
  34. AutoDIR: Automatic All-in-One Image Restoration with Latent DiffusionDiffusion models → Inverse problems and image restoration
  35. Learning to Rank Context for Named Entity Recognition Using a Synthetic DatasetSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  36. On Generative Agents in RecommendationLLM agents and tool use → Agentic recommender systems
  37. Let's reward step by step: Step-Level reward model as the Navigators for ReasoningLLM reasoning → Reinforcement learning for reasoning +1
  38. Prompt Packer: Deceiving LLMs through Compositional Instruction with Hidden AttacksLLM safety and security → Prompt injection and agent security
  39. Verbosity Bias in Preference Labeling by Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  40. Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model GuidanceSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
  41. Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?Diffusion models → Robustness, privacy and adversarial aspects +1
  42. Forecaster: Towards Temporally Abstract Tree-Search Planning from PixelsWorld models → Latent predictive world models
  43. Temporal Embeddings: Scalable Self-Supervised Temporal Representation Learning from Spatiotemporal Data for Multimodal Computer Vision
  44. Functional Overlap Reranking for Neural Code Generation
  45. Advantages of Machine Learning in Bus Transport Analysis
  46. MgNO: Efficient Parameterization of Linear Operators via Multigrid
  47. Deep Learning Algorithm for Advanced Level-3 Inverse-Modeling of Silicon-Carbide Power MOSFET Devices
  48. Compressed Sensing of Generative Sparse-latent (GSL) Signals
  49. Detecting Speech Abnormalities with a Perceiver-based Sequence Classifier that Leverages a Universal Speech Model
  50. Active Learning Framework for Cost-Effective TCR-Epitope Binding Affinity Prediction
  51. The Calysto Scheme Project
  52. BLoad: Enhancing Neural Network Training with Efficient Sequential Data Handling
  53. Filling the Holes on 3D Heritage Object Surface based on Automatic Segmentation Algorithm
  54. Religious Affiliation in the Twenty-First Century: A Machine Learning Perspective on the World Value Survey
  55. IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
  56. Approximation properties of slice-matching operators
  57. Will the Prince Get True Love's Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts
  58. Greedy Perspectives: Multi-Drone View Planning for Collaborative Perception in Cluttered Environments
  59. The Invisible Map: Visual-Inertial SLAM with Fiducial Markers for Smartphone-based Indoor Navigation
  60. SoybeanNet: Transformer-Based Convolutional Neural Network for Soybean Pod Counting from Unmanned Aerial Vehicle (UAV) Images
  61. Joint Optimization of Traffic Signal Control and Vehicle Routing in Signalized Road Networks using Multi-Agent Deep Reinforcement Learning
  62. Probabilistic Classification by Density Estimation Using Gaussian Mixture Model and Masked Autoregressive Flow
  63. A Machine Learning-based Algorithm for Automated Detection of Frequency-based Events in Recorded Time Series of Sensor Data
  64. Approximating Two-Layer Feedforward Networks for Efficient Transformers
  65. Gaussian processes based data augmentation and expected signature for time series classification
  66. Provable Probabilistic Imaging using Score-Based Generative Priors
  67. Proper Laplacian Representation Learning
  68. Accurate Data-Driven Surrogates of Dynamical Systems for Forward Propagation of Uncertainty
  69. Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks
  70. Vision and Language Navigation in the Real World via Online Visual Language Mapping
  71. Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning
  72. Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms
  73. If the Sources Could Talk: Evaluating Large Language Models for Research Assistance in History
  74. Regularization properties of adversarially-trained linear regression
  75. Convolutional Neural Network Model for Diabetic Retinopathy Feature Extraction and Classification
  76. Neural Tangent Kernels Motivate Graph Neural Networks with Cross-Covariance Graphs
  77. Self-Supervised Models of Speech Infer Universal Articulatory Kinematics
  78. BanglaNLP at BLP-2023 Task 1: Benchmarking different Transformer Models for Violence Inciting Text Detection in Bengali
  79. Demystifying Poisoning Backdoor Attacks from a Statistical Perspective
  80. Correcting model misspecification in physics-informed neural networks (PINNs)
  81. Gotta be SAFE: A New Framework for Molecular Design
  82. Unsupervised Lead Sheet Generation via Semantic Compression
  83. Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models
  84. BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys
  85. Exploring hyperelastic material model discovery for human brain cortex: multivariate analysis vs. artificial neural network approaches
  86. Towards reducing hallucination in extracting information from financial reports using Large Language Models
  87. Statistical Barriers to Affine-equivariant Estimation
  88. Deep Conditional Shape Models for 3D cardiac image segmentation
  89. IDRNet: Intervention-Driven Relation Network for Semantic Segmentation
  90. Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder
  91. Fast Adversarial Label-Flipping Attack on Tabular Data
  92. Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning
  93. MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design
  94. A representation learning approach to probe for dynamical dark energy in matter power spectra
  95. Automated Natural Language Explanation of Deep Visual Neurons with Large Models
  96. Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning
  97. Harnessing the Power of LLMs: Evaluating Human-AI Text Co-Creation through the Lens of News Headline Generation
  98. Observational and Experimental Insights into Machine Learning-Based Defect Classification in Wafers
  99. Optimized Tokenization for Transcribed Error Correction
  100. Transparent Anomaly Detection via Concept-based Explanations
All 335
  1. PELA: Learning Parameter-Efficient Models with Low-Rank Approximation
  2. Reusing Pretrained Models by Multi-linear Operators for Efficient Training
  3. Robust Collaborative Filtering to Popularity Distribution Shift
  4. Data-Driven Score-Based Models for Generating Stable Structures with Adaptive Crystal Cells
  5. Network Analysis of the iNaturalist Citizen Science Community
  6. HairCLIPv2: Unifying Hair Editing via Proxy Feature Blending
  7. TraM-NeRF: Tracing Mirror and Near-Perfect Specular Reflections through Neural Radiance Fields
  8. A Computational Framework for Solving Wasserstein Lagrangian Flows
  9. Bridging the Novice-Expert Gap via Models of Decision-Making: A Case Study on Remediating Math Mistakes
  10. Interactive Task Planning with Language Models
  11. TOSS:High-quality Text-guided Novel View Synthesis from a Single Image
  12. Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting
  13. In-context Pretraining: Language Modeling Beyond Document Boundaries
  14. "Mistakes Help Us Grow": Facilitating and Evaluating Growth Mindset Supportive Language in Classrooms
  15. Dual-Encoders for Extreme Multi-Label Classification
  16. Towards Scenario-based Safety Validation for Autonomous Trains with Deep Generative Models
  17. BioPlanner: Automatic Evaluation of LLMs on Protocol Planning in Biology
  18. Certainty In, Certainty Out: REVQCs for Quantum Machine Learning
  19. Data Contamination Through the Lens of Time
  20. Factored Verification: Detecting and Reducing Hallucination in Summaries of Academic Papers
  21. Video Language Planning
  22. Generating Summaries with Controllable Readability Levels
  23. How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations
  24. IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation
  25. Quantifying Assistive Robustness Via the Natural-Adversarial Frontier
  26. BayRnTune: Adaptive Bayesian Domain Randomization via Strategic Fine-tuning
  27. ForceGen: End-to-end de novo protein generation based on nonlinear mechanical unfolding responses using a protein language diffusion model
  28. Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems
  29. Physics-informed neural wavefields with Gabor basis functions
  30. Pareto Optimization to Accelerate Multi-Objective Virtual Screening
  31. Motion2Language, unsupervised learning of synchronized semantic motion segmentation
  32. Interpreting and Controlling Vision Foundation Models via Text Explanations
  33. VidCoM: Fast Video Comprehension through Large Language Models with Multimodal Tools
  34. Who Are All The Stochastic Parrots Imitating? They Should Tell Us!
  35. Matching the Neuronal Representations of V1 is Necessary to Improve Robustness in CNNs with V1-like Front-ends
  36. Emerging Challenges in Personalized Medicine: Assessing Demographic Effects on Biomedical Question Answering Systems
  37. On Context Utilization in Summarization with Large Language Models
  38. HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction
  39. RefConv: Re-parameterized Refocusing Convolution for Powerful ConvNets
  40. Towards the Imagenets of ML4EDA
  41. Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data
  42. Population-based wind farm monitoring based on a spatial autoregressive approach
  43. TacticAI: an AI assistant for football tactics
  44. Deep learning applied to EEG data with different montages using spatial attention
  45. InfoGCN++: Learning Representation by Predicting the Future for Online Human Skeleton-based Action Recognition
  46. Optimal vintage factor analysis with deflation varimax
  47. Use of probabilistic phrases in a coordination game: human versus GPT-4
  48. ViPE: Visualise Pretty-much Everything
  49. AST: Effective Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories
  50. Microscaling Data Formats for Deep Learning
  51. Comparing Comparators in Generalization Bounds
  52. Label-efficient Segmentation via Affinity Propagation
  53. One For All & All For One: Bypassing Hyperparameter Tuning with Model Averaging For Cross-Lingual Transfer
  54. Learning optimal integration of spatial and temporal information in noisy chemotaxis
  55. From Spectral Theorem to Statistical Independence with Application to System Identification
  56. Reproducing Bayesian Posterior Distributions for Exoplanet Atmospheric Parameter Retrievals with a Machine Learning Surrogate Model
  57. Semantic Parsing by Large Language Models for Intricate Updating Strategies of Zero-Shot Dialogue State Tracking
  58. Distribution prediction for image compression: An experimental re-compressor for JPEG images
  59. Unifying Image Processing as Visual Prompting Question Answering
  60. NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails
  61. Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies
  62. LocSelect: Target Speaker Localization with an Auditory Selective Hearing Mechanism
  63. Metric Ensembles For Hallucination Detection
  64. Evaluation and improvement of Segment Anything Model for interactive histopathology image segmentation
  65. UNO-DST: Leveraging Unlabelled Data in Zero-Shot Dialogue State Tracking
  66. On the Transferability of Learning Models for Semantic Segmentation for Remote Sensing Data
  67. Type-aware Decoding via Explicitly Aggregating Event Information for Document-level Event Extraction
  68. ManyQuadrupeds: Learning a Single Locomotion Policy for Diverse Quadruped Robots
  69. Passive Inference Attacks on Split Learning via Adversarial Regularization
  70. xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection
  71. DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource Event Extraction
  72. G-SPEED: General SParse Efficient Editing MoDel
  73. Combating Label Noise With A General Surrogate Model For Sample Selection
  74. Adaptive Neural Ranking Framework: Toward Maximized Business Goal for Cascade Ranking Systems
  75. Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data
  76. On the Relevance of Temporal Features for Medical Ultrasound Video Recognition
  77. Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models
  78. A Geometric Insight into Equivariant Message Passing Neural Networks on Riemannian Manifolds
  79. Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification
  80. Efficiently matching random inhomogeneous graphs via degree profiles
  81. Equivariant Matrix Function Neural Networks
  82. Object Detection in Aerial Images in Scarce Data Regimes
  83. Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation
  84. Exploiting User Comments for Early Detection of Fake News Prior to Users' Commenting
  85. DANAA: Towards transferable attacks with double adversarial neuron attribution
  86. Continuously Adapting Random Sampling (CARS) for Power Electronics Parameter Design
  87. A Novel Benchmarking Paradigm and a Scale- and Motion-Aware Model for Egocentric Pedestrian Trajectory Prediction
  88. YOLOv7 for Mosquito Breeding Grounds Detection and Tracking
  89. LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image
  90. Prior-Free Continual Learning with Unlabeled Data in the Wild
  91. Style transfer between Microscopy and Magnetic Resonance Imaging via Generative Adversarial Network in small sample size settings
  92. Image super-resolution via dynamic network
  93. Loci-Segmented: Improving Scene Segmentation Learning
  94. A cross Transformer for image denoising
  95. LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation
  96. Real-Fake: Effective Training Data Synthesis Through Distribution Matching
  97. Can Word Sense Distribution Detect Semantic Changes of Words?
  98. Towards Fair and Calibrated Models
  99. textitSwap and Predict -- Predicting the Semantic Changes in Words across Corpora by Context Swapping
  100. Open-CRB: Towards Open World Active Learning for 3D Object Detection
  101. Enhanced Edge-Perceptual Guided Image Filtering
  102. Towards a Better Understanding of Variations in Zero-Shot Neural Machine Translation Performance
  103. Privacy in Large Language Models: Attacks, Defenses and Future Directions
  104. Contextual Data Augmentation for Task-Oriented Dialog Systems
  105. Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification
  106. Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models
  107. GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers
  108. Multi-Factor Spatio-Temporal Prediction based on Graph Decomposition Learning
  109. Learning Object Permanence from Videos via Latent Imaginations
  110. Camera-LiDAR Fusion with Latent Contact for Place Recognition in Challenging Cross-Scenes
  111. Machine learning in physics: a short guide
  112. Self-Pro: A Self-Prompt and Tuning Framework for Graph Neural Networks
  113. An Anytime Algorithm for Good Arm Identification
  114. Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs
  115. Multimodal Object Query Initialization for 3D Object Detection
  116. Semi-Supervised Crowd Counting with Contextual Modeling: Facilitating Holistic Understanding of Crowd Scenes
  117. Optimized Layerwise Approximation for Efficient Private Inference on Fully Homomorphic Encryption
  118. ConsistNet: Enforcing 3D Consistency for Multi-view Images Diffusion
  119. Legal NLP Meets MiCAR: Advancing the Analysis of Crypto White Papers
  120. Unlocking Metasurface Practicality for B5G Networks: AI-assisted RIS Planning
  121. Towards image compression with perfect realism at ultra-low bitrates
  122. Assessing univariate and bivariate risks of late-frost and drought using vine copulas: A historical study for Bavaria
  123. Evaluating the Reversal Curse in Model Editing
  124. Hamming Encoder: Mining Discriminative k-mers for Discrete Sequence Classification
  125. Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task Learning
  126. A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead
  127. Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques
  128. Time integration schemes based on neural networks for solving partial differential equations on coarse grids
  129. Learning visual-based deformable object rearrangement with local graph neural networks
  130. Multi-Body Neural Scene Flow
  131. Forking Uncertainties: Reliable Prediction and Model Predictive Control with Sequence Models via Conformal Risk Control
  132. Key-phrase boosted unsupervised summary generation for FinTech organization
  133. Effortless Cross-Platform Video Codec: A Codebook-Based Method
  134. Multi-Stage Pre-training Enhanced by ChatGPT for Multi-Scenario Multi-Domain Dialogue Summarization
  135. Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition
  136. No Compromise in Solution Quality: Speeding Up Belief-dependent Continuous POMDPs via Adaptive Multilevel Simplification
  137. Rethinking Financial Service Promotion With Hybrid Recommender Systems at PicPay
  138. Generative Calibration for In-context Learning
  139. Towards Open-World Co-Salient Object Detection with Generative Uncertainty-aware Group Selective Exchange-Masking
  140. Enhancing Interpretability using Human Similarity Judgements to Prune Word Embeddings
  141. Prediction of Arabic Legal Rulings using Large Language Models
  142. Leveraging heterogeneous spillover in maximizing contextual bandit rewards
  143. Leveraging Topological Maps in Deep Reinforcement Learning for Multi-Object Navigation
  144. Long-term Dependency for 3D Reconstruction of Freehand Ultrasound Without External Tracker
  145. Mask wearing object detection algorithm based on improved YOLOv5
  146. On the Properties and Estimation of Pointwise Mutual Information Profiles
  147. Structural transfer learning of non-Gaussian DAG
  148. SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection
  149. Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective
  150. Generalizing Medical Image Representations via Quaternion Wavelet Networks
  151. Using Global Land Cover Product as Prompt for Cropland Mapping via Visual Foundation Model
  152. GEVO-ML: Optimizing Machine Learning Code with Evolutionary Computation
  153. Interpretable Predictive Models to Understand Risk Factors for Maternal and Fetal Outcomes
  154. MoConVQ: Unified Physics-Based Motion Control via Scalable Discrete Representations
  155. Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
  156. AdaLomo: Low-memory Optimization with Adaptive Learning Rate
  157. VIBE: Topic-Driven Temporal Adaptation for Twitter Classification
  158. Battle of the Large Language Models: Dolly vs LLaMA vs Vicuna vs Guanaco vs Bard vs ChatGPT -- A Text-to-SQL Parsing Comparison
  159. An Interpretable Deep-Learning Framework for Predicting Hospital Readmissions From Electronic Health Records
  160. Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition
  161. Hypergraph Echo State Network
  162. Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT
  163. Analyzing An After-Sales Service Process Using Object-Centric Process Mining: A Case Study
  164. On permutation symmetries in Bayesian neural network posteriors: a variational perspective
  165. DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task
  166. The Road to On-board Change Detection: A Lightweight Patch-Level Change Detection Network via Exploring the Potential of Pruning and Pooling
  167. Joint Music and Language Attention Models for Zero-shot Music Tagging
  168. Adaptive Workload Distribution for Accuracy-aware DNN Inference on Collaborative Edge Platforms
  169. DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery
  170. Recursive Segmentation Living Image: An eXplainable AI (XAI) Approach for Computing Structural Beauty of Images or the Livingness of Space
  171. An Empirical Study of Self-supervised Learning with Wasserstein Distance
  172. A Search for Prompts: Generating Structured Answers from Contracts
  173. Node-based Knowledge Graph Contrastive Learning for Medical Relationship Prediction
  174. CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization
  175. Empowering SMPC: Bridging the Gap Between Scalability, Memory Efficiency and Privacy in Neural Network Inference
  176. 3DYoga90: A Hierarchical Video Dataset for Yoga Pose Understanding
  177. A Non-monotonic Smooth Activation Function
  178. Few-shot Action Recognition with Captioning Foundation Models
  179. A Comprehensive Study of Privacy Risks in Curriculum Learning
  180. From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond
  181. Federated Learning with Convex Global and Local Constraints
  182. Posterior Sampling-based Online Learning for Episodic POMDPs
  183. End-to-end Multichannel Speaker-Attributed ASR: Speaker Guided Decoder and Input Feature Analysis
  184. Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning
  185. KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training
  186. PAC Learning Linear Thresholds from Label Proportions
  187. LLP-Bench: A Large Scale Tabular Benchmark for Learning from Label Proportions
  188. A Multi-Scale Spatial Transformer U-Net for Simultaneously Automatic Reorientation and Segmentation of 3D Nuclear Cardiac Images
  189. Decomposed Prompt Tuning via Low-Rank Reparameterization
  190. Label Differential Privacy via Aggregation
  191. Orthogonal Uncertainty Representation of Data Manifold for Robust Long-Tailed Learning
  192. Over-the-Air Federated Learning and Optimization
  193. PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising
  194. JMedLoRA:Medical Domain Adaptation on Japanese Large Language Models using Instruction-tuning
  195. A simple uniformly optimal method without line search for convex optimization
  196. MOCHA: Real-Time Motion Characterization via Context Matching
  197. SoTTA: Robust Test-Time Adaptation on Noisy Data Streams
  198. Expression Domain Translation Network for Cross-domain Head Reenactment
  199. Fine-tuning ChatGPT for Automatic Scoring
  200. ZoomTrack: Target-aware Non-uniform Resizing for Efficient Visual Tracking
  201. GreatSplicing: A Semantically Rich Splicing Dataset
  202. Generalizable Person Search on Open-world User-Generated Video Content
  203. Shape-aware Graph Spectral Learning
  204. A Comprehensive Evaluation of Tool-Assisted Generation Strategies
  205. A computational model of serial and parallel processing in visual search
  206. Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey
  207. Flow Dynamics Correction for Action Recognition
  208. Latent Conservative Objective Models for Data-Driven Crystal Structure Prediction
  209. NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models
  210. EAR-Net: Pursuing End-to-End Absolute Rotations from Multi-View Images
  211. EfficientOCR: An Extensible, Open-Source Package for Efficiently Digitizing World Knowledge
  212. FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models
  213. Improving Large Language Model Fine-tuning for Solving Math Problems
  214. TRANSOM: An Efficient Fault-Tolerant System for Training LLMs
  215. Symmetrical SyncMap for Imbalanced General Chunking Problems
  216. Hyperspectral Image Fusion via Logarithmic Low-rank Tensor Ring Decomposition
  217. TpopT: Efficient Trainable Template Optimization on Low-Dimensional Manifolds
  218. Smart City Transportation: Deep Learning Ensemble Approach for Traffic Accident Detection
  219. Evading Detection Actively: Toward Anti-Forensics against Forgery Localization
  220. Empirical Study of Zero-Shot NER with ChatGPT
  221. Deep Unfolding Network for Image Compressed Sensing by Content-adaptive Gradient Updating and Deformation-invariant Non-local Modeling
  222. Unraveling Fundamental Properties of Power System Resilience Curves using Unsupervised Machine Learning
  223. RoomDesigner: Encoding Anchor-latents for Style-consistent and Shape-compatible Indoor Scene Generation
  224. An Empirical Study of Super-resolution on Low-resolution Micro-expression Recognition
  225. Riemannian Residual Neural Networks
  226. Black-box Targeted Adversarial Attack on Segment Anything (SAM)
  227. Towards Unified and Effective Domain Generalization
  228. Soft ascent-descent as a stable and flexible alternative to flooding
  229. Conformal Contextual Robust Optimization
  230. Assessing Encoder-Decoder Architectures for Robust Coronary Artery Segmentation
  231. Outlier Detection Using Generative Models with Theoretical Performance Guarantees
  232. SeUNet-Trans: A Simple yet Effective UNet-Transformer Model for Medical Image Segmentation
  233. A Survey of Graph and Attention Based Hyperspectral Image Classification Methods for Remote Sensing Data
  234. Applications of Machine Learning in Biopharmaceutical Process Development and Manufacturing: Current Trends, Challenges, and Opportunities
  235. Personalization of CTC-based End-to-End Speech Recognition Using Pronunciation-Driven Subword Tokenization