mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 11 Oct 2023

312 papers

  1. Co-NavGPT: Multi-Robot Cooperative Visual Semantic Navigation Using Vision Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  2. What Matters to You? Towards Visual Representation Alignment for Robot LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  3. The Expressive Power of Transformers with Chain of ThoughtLLM reasoning → Prompting and chain-of-thought reasoning
  4. Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation LearningOffline RL and imitation learning from data → Safe offline RL
  5. RoboCLIP: One Demonstration is Enough to Learn Robot PoliciesOffline RL and imitation learning from data → Imitation learning methods
  6. NoMaD: Goal Masked Diffusion Policies for Navigation and ExplorationDiffusion models → Diffusion and flow policies for robotics
  7. Efficient Integrators for Diffusion Generative ModelsDiffusion models → Diffusion foundations and sampling
  8. Synthetic Data Generation with Large Language Models for Text Classification: Potential and LimitationsSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  9. Generative Modeling with Phase Stochastic BridgesDiffusion models → Diffusion foundations and sampling
  10. DrivingDiffusion: Layout-Guided multi-view driving scene video generation with latent diffusion modelDiffusion models → Diffusion and flow policies for robotics
  11. Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of ExamplesOffline RL and imitation learning from data → Offline RL algorithms
  12. InstructRetro: Instruction Tuning post Retrieval-Augmented PretrainingRetrieval-augmented generation → Generation and context integration
  13. Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
  14. A Resilient and Accessible Distribution-Preserving Watermark for Large Language ModelsLLM safety and security → Watermarking generated content and models
  15. Ferret: Refer and Ground Anything Anywhere at Any GranularityMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  16. ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  17. VeCLIP: Improving CLIP Training via Visual-enriched CaptionsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  18. Composite Backdoor Attacks Against Large Language ModelsLLM safety and security → Backdoor and data poisoning attacks
  19. Mini-DALLE3: Interactive Text to Image by Prompting Large Language ModelsDiffusion models → Image generation, text-to-image and editing
  20. Prompt Backdoors in Visual Prompt LearningLLM safety and security → Backdoor and data poisoning attacks
  21. The Past, Present and Better Future of Feedback Learning in Large Language Models for Subjective Human Preferences and ValuesLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  22. Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented ModelsRetrieval-augmented generation → Privacy and security of RAG
  23. A Discrepancy Aware Framework for Robust Anomaly DetectionKnowledge distillation → Detection and dense prediction distillation
  24. Linear Latent World Models in Simple Transformers: A Case Study on Othello-GPTWorld models → World models for language agents
  25. In-Context Unlearning: Language Models as Few Shot UnlearnersLLM safety and security → Machine unlearning
  26. A Multi-Task Embedder For Retrieval Augmented LLMsRetrieval-augmented generation → Generation and context integration
  27. Large-Language-Model-Powered Agent-Based Framework for Misinformation and Disinformation Research: Opportunities and Open ChallengesLLM agents and tool use → Web, search, and research agents
  28. Boosting Black-box Attack to Deep Neural Networks with Conditional Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  29. Imitation Learning from Observation with Automatic Discount SchedulingOffline RL and imitation learning from data → Imitation learning methods
  30. Multi-Concept T2I-Zero: Tweaking Only The Text Embeddings and Nothing ElseDiffusion models → Image generation, text-to-image and editing
  31. Histopathological Image Classification and Vulnerability Analysis using Federated LearningLLM safety and security → Federated unlearning and poisoning
  32. IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-trainingMultimodal LLMs / vision-language models → Medical vision-language models
  33. Diffusion Models for Wireless CommunicationsDiffusion models → Diffusion for compression and wireless
  34. Score Regularized Policy Optimization through Diffusion BehaviorDiffusion models → Diffusion and flow policies for robotics +1
  35. Distilling Efficient Vision Transformers from CNNs for Semantic SegmentationKnowledge distillation → General knowledge distillation methods
  36. CacheGen: KV Cache Compression and Streaming for Fast Large Language Model ServingEfficient LLM inference and serving → KV cache optimization
  37. Uni-paint: A Unified Framework for Multimodal Image Inpainting with Pretrained Diffusion ModelDiffusion models → 3D, point cloud and scene generation
  38. Improved Membership Inference Attacks Against Language Classification ModelsLLM safety and security → Membership inference attacks
  39. State of the Art on Diffusion Models for Visual ComputingDiffusion models → Diffusion foundations and sampling
  40. Adaptive Gating in Mixture-of-Experts based Language ModelsMixture-of-experts → MoE large language models
  41. Online Speculative DecodingEfficient LLM inference and serving → Speculative decoding
  42. Empowering Psychotherapy with Large Language Models: Cognitive Distortion Detection through Diagnosis of Thought PromptingLLM reasoning → Clinical and biomedical applications
  43. Imitation Learning from Purified DemonstrationsOffline RL and imitation learning from data → Imitation learning methods
  44. Denoising Task Routing for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  45. Echocardiography video synthesis from end diastolic semantic map via diffusion modelDiffusion models → Medical imaging and segmentation
  46. Off-Policy Evaluation for Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  47. Sparse Universal TransformerMixture-of-experts → Expert routing strategies
  48. Diversity of Thought Improves Reasoning Abilities of LLMsLLM reasoning → Test-time compute and efficient thinking
  49. Automated Verification of Equivalence Properties in Advanced Logic Programs -- Bachelor Thesis
  50. Automatic Sensor-free Affect Detection: A Systematic Literature Review
  51. BrainVoxGen: Deep learning framework for synthesis of Ultrasound to MRI
  52. AutoRepo: A general framework for multi-modal LLM-based automated construction reporting
  53. Cost-Driven Hardware-Software Co-Optimization of Machine Learning Pipelines
  54. D2 Pruning: Message Passing for Balancing Diversity and Difficulty in Data Pruning
  55. Crosslingual Structural Priming and the Pre-Training Dynamics of Bilingual Language Models
  56. Enhanced sampling of Crystal Nucleation with Graph Representation Learnt Variables
  57. First-Order Dynamic Optimization for Streaming Convex Costs
  58. A Review of Machine Learning Techniques in Imbalanced Data and Future Trends
  59. Dynamic Appearance Particle Neural Radiance Field
  60. Pit One Against Many: Leveraging Attention-head Embeddings for Parameter-efficient Multi-head Attention
  61. Phase codes emerge in recurrent neural networks optimized for modular arithmetic
  62. Unraveling the Single Tangent Space Fallacy: An Analysis and Clarification for Applying Riemannian Geometry in Robot Learning
  63. Precise localization within the GI tract by combining classification of CNNs and time-series analysis of HMMs
  64. ASV Station Keeping under Wind Disturbances using Neural Network Simulation Error Minimization Model Predictive Control
  65. A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
  66. LangNav: Language as a Perceptual Representation for Navigation
  67. Unsupervised Denoising for Signal-Dependent and Row-Correlated Imaging Noise
  68. A Survey of Feature Types and Their Contributions for Camera Tampering Detection
  69. Leader-Follower Neural Networks with Local Error Signals Inspired by Complex Collectives
  70. The Thousand Faces of Explainable AI Along the Machine Learning Life Cycle: Industrial Reality and Current State of Research
  71. DeePref: Deep Reinforcement Learning For Video Prefetching In Content Delivery Networks
  72. TabLib: A Dataset of 627M Tables with Context
  73. Refined Mechanism Design for Approximately Structured Priors via Active Regression
  74. Hierarchical Pretraining on Multimodal Electronic Health Records
  75. Cheap Talking Algorithms
  76. QArchSearch: A Scalable Quantum Architecture Search Package
  77. Assessing Evaluation Metrics for Neural Test Oracle Generation
  78. CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping
  79. On the Computational Complexity of Private High-dimensional Model Selection
  80. Framework for Question-Answering in Sanskrit through Automated Construction of Knowledge Graphs
  81. Towards the Fundamental Limits of Knowledge Transfer over Finite Domains
  82. Measuring Feature Sparsity in Language Models
  83. Optimal Linear Decay Learning Rate Schedules and Further Refinements
  84. Does Synthetic Data Make Large Language Models More Efficient?
  85. Antarlekhaka: A Comprehensive Tool for Multi-task Natural Language Annotation
  86. Non-autoregressive Text Editing with Copy-aware Latent Alignments
  87. Large Language Models Are Zero-Shot Time Series Forecasters
  88. Faithfulness Measurable Masked Language Models
  89. On the Relationship between Sentence Analogy Identification and Sentence Structure Encoding in Large Language Models
  90. Language Models As Semantic Indexers
  91. Explorable Mesh Deformation Subspaces from Unstructured Generative Models
  92. Online RL in Linearly qπ-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore
  93. FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated Learning
  94. A general mechanism of humor: reformulating the semantic overlap
  95. An Information Bottleneck Characterization of the Understanding-Workload Tradeoff
  96. Language-Guided Reinforcement Learning for Hard Attention in Few-Shot Learning
  97. Domain-invariant Clinical Representation Learning by Bridging Data Distribution Shift across EMR Datasets
  98. Ontology Enrichment for Effective Fine-grained Entity Typing
  99. CRITERIA: a New Benchmarking Paradigm for Evaluating Trajectory Prediction Models for Autonomous Driving
  100. GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models
All 312
  1. Using Spark Machine Learning Models to Perform Predictive Analysis on Flight Ticket Pricing Data
  2. Non-Stationary Contextual Bandit Learning via Neural Predictive Ensemble Sampling
  3. An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions
  4. 3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers
  5. Promoting Robustness of Randomized Smoothing: Two Cost-Effective Approaches
  6. Feature Learning and Generalization in Deep Networks with Orthogonal Weights
  7. Self-supervised Representation Learning From Random Data Projectors
  8. OpenLEAF: Open-Domain Interleaved Image-Text Generation and Evaluation
  9. Deep Reinforcement Learning for Autonomous Cyber Defence: A Survey
  10. PointHR: Exploring High-Resolution Architectures for 3D Point Cloud Segmentation
  11. PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection
  12. To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing
  13. Growing Brains: Co-emergence of Anatomical and Functional Modularity in Recurrent Neural Networks
  14. MatFormer: Nested Transformer for Elastic Inference
  15. Pixel State Value Network for Combined Prediction and Planning in Interactive Environments
  16. Knowledge-enhanced Memory Model for Emotional Support Conversation
  17. SurroCBM: Concept Bottleneck Surrogate Models for Generative Post-hoc Explanation
  18. ConditionVideo: Training-Free Condition-Guided Text-to-Video Generation
  19. Orbital Polarimetric Tomography of a Flare Near the Sagittarius A* Supermassive Black Hole
  20. Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design
  21. Controllable Data Generation Via Iterative Data-Property Mutual Mappings
  22. Prediction of MET Overexpression in Non-Small Cell Lung Adenocarcinomas from Hematoxylin and Eosin Images
  23. Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM
  24. Stabilizing Estimates of Shapley Values with Control Variates
  25. HaarNet: Large-scale Linear-Morphological Hybrid Network for RGB-D Semantic Segmentation
  26. GRaMuFeN: Graph-based Multi-modal Fake News Detection in Social Media
  27. Global Minima, Recoverability Thresholds, and Higher-Order Structure in GNNS
  28. Deep Backtracking Counterfactuals for Causally Compliant Explanations
  29. Accelerating Vision Transformers Based on Heterogeneous Attention Patterns
  30. Deep Video Inpainting Guided by Audio-Visual Self-Supervision
  31. Well Begun is Half Done: Generator-agnostic Knowledge Pre-Selection for Knowledge-Grounded Dialogue
  32. The First Pathloss Radio Map Prediction Challenge
  33. Audio-Visual Neural Syntax Acquisition
  34. LLM4Vis: Explainable Visualization Recommendation using ChatGPT
  35. Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological Signals
  36. Toward Understanding BERT-Like Pre-Training for DNA Foundation Models
  37. Evaluating Large Language Models at Evaluating Instruction Following
  38. Context-Enhanced Detector For Building Detection From Remote Sensing Images
  39. OpsEval: A Comprehensive IT Operations Benchmark Suite for Large Language Models
  40. Attention-Map Augmentation for Hypercomplex Breast Cancer Classification
  41. Graph Transformer Network for Flood Forecasting with Heterogeneous Covariates
  42. Differentiable Euler Characteristic Transforms for Shape Classification
  43. Learning of Sea Surface Height Interpolation from Multi-variate Simulated Satellite Observations
  44. Dual Quaternion Rotational and Translational Equivariance in 3D Rigid Motion Modelling
  45. Reinforcement Learning-based Knowledge Graph Reasoning for Explainable Fact-checking
  46. PHYDI: Initializing Parameterized Hypercomplex Neural Networks as Identity Functions
  47. Democratizing LLMs: An Exploration of Cost-Performance Trade-offs in Self-Refined Open-Source Models
  48. QACHECK: A Demonstration System for Question-Guided Multi-Hop Fact-Checking
  49. Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous Driving
  50. Survey on Imbalanced Data, Representation Learning and SEP Forecasting
  51. Prospective Side Information for Latent MDPs
  52. Transformers for Green Semantic Communication: Less Energy, More Semantics
  53. PeP: a Point enhanced Painting method for unified point cloud tasks
  54. Accurate Use of Label Dependency in Multi-Label Text Classification Through the Lens of Causality
  55. Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer
  56. Centrality of the Fingerprint Core Location
  57. Analyzing Trendy Twitter Hashtags in the 2022 French Election
  58. Relational Prior Knowledge Graphs for Detection and Instance Segmentation
  59. Impact of Label Types on Training SWIN Models with Overhead Imagery
  60. ChatGPT for Computational Topology
  61. ROMO: Retrieval-enhanced Offline Model-based Optimization
  62. Smoothness-Adaptive Dynamic Pricing with Nonparametric Demand Learning
  63. Does resistance to style-transfer equal Global Shape Bias? Measuring network sensitivity to global shape configuration
  64. ProtoHPE: Prototype-guided High-frequency Patch Enhancement for Visible-Infrared Person Re-identification
  65. Attribute Localization and Revision Network for Zero-Shot Learning
  66. Fairness under Covariate Shift: Improving Fairness-Accuracy tradeoff with few Unlabeled Test Samples
  67. Human-Centered Evaluation of XAI Methods
  68. Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits
  69. S4C: Self-Supervised Semantic Scene Completion with Neural Fields
  70. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity
  71. Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning
  72. CM-PIE: Cross-modal perception for interactive-enhanced audio-visual video parsing
  73. Energy Estimates Across Layers of Computing: From Devices to Large-Scale Applications in Machine Learning for Natural Language Processing, Scientific Computing, and Cryptocurrency Mining
  74. Learning a Cross-modality Anomaly Detector for Remote Sensing Imagery
  75. Heuristic Vision Pre-Training with Self-Supervised and Supervised Multi-Task Learning
  76. Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation
  77. PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction
  78. Energy-Efficient and Real-Time Sensing for Federated Continual Learning via Sample-Driven Control
  79. Diversity for Contingency: Learning Diverse Behaviors for Efficient Adaptation and Transfer
  80. Model-based Clustering of Individuals' Ecological Momentary Assessment Time-series Data for Improving Forecasting Performance
  81. KwaiYiiMath: Technical Report
  82. Cognate Transformer for Automated Phonological Reconstruction and Cognate Reflex Prediction
  83. Nonlinear embeddings for conserving Hamiltonians and other quantities with Neural Galerkin schemes
  84. Multimodal Graph Learning for Generative Tasks
  85. FGPrompt: Fine-grained Goal Prompting for Image-goal Navigation
  86. An Ontology of Co-Creative AI Systems
  87. The Implications of Decentralization in Blockchained Federated Learning: Evaluating the Impact of Model Staleness and Inconsistencies
  88. AI/ML-based Load Prediction in IEEE 802.11 Enterprise Networks
  89. Multi-Beholder: Biomarker Prediction for Low-Grade Glioma with Multiple Instance Learning and One-Class Classification
  90. Using explainable AI to investigate electrocardiogram changes during healthy aging -- from expert features to raw signals
  91. Efficient machine-learning surrogates for large-scale geological carbon and energy storage
  92. PoRF: Pose Residual Field for Accurate Neural Surface Reconstruction
  93. ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
  94. Distance Weighted Trans Network for Image Completion
  95. DESTINE: Dynamic Goal Queries with Temporal Transductive Alignment for Trajectory Prediction
  96. A Branched Deep Convolutional Network for Forecasting the Occurrence of Hazes in Paris using Meteorological Maps with Different Characteristic Spatial Scales
  97. Generalized Mixture Model for Extreme Events Forecasting in Time Series Data
  98. HealthWalk: Promoting Health and Mobility through Sensor-Based Rollator Walker Assistance
  99. Non-backtracking Graph Neural Networks
  100. Quantum-Enhanced Forecasting: Leveraging Quantum Gramian Angular Field and CNNs for Stock Return Predictions
  101. Adapting the adapters for code-switching in multilingual ASR
  102. Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages
  103. What can knowledge graph alignment gain with Neuro-Symbolic learning approaches?
  104. A Novel Voronoi-based Convolutional Neural Network Framework for Pushing Person Detection in Crowd Videos
  105. DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation
  106. NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series Pretraining
  107. Randomized Runge-Kutta-Nystr"om Methods for Unadjusted Hamiltonian and Kinetic Langevin Monte Carlo
  108. Target-oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curation
  109. CLIP for Lightweight Semantic Segmentation
  110. Deep Kernel and Image Quality Estimators for Optimizing Robotic Ultrasound Controller using Bayesian Optimization
  111. Learning a Reward Function for User-Preferred Appliance Scheduling
  112. Linguistic laws in biology
  113. Causal Unsupervised Semantic Segmentation
  114. Point Cloud Denoising and Outlier Detection with Local Geometric Structure by Dynamic Graph CNN
  115. Experimental quantum natural gradient optimization in photonics
  116. Orthogonal Random Features: Explicit Forms and Sharp Inequalities
  117. Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model
  118. GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning
  119. Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters
  120. Diagnosing Bipolar Disorder from 3-D Structural Magnetic Resonance Images Using a Hybrid GAN-CNN Method
  121. Give and Take: Federated Transfer Learning for Industrial IoT Network Intrusion Detection
  122. Atom-Motif Contrastive Transformer for Molecular Property Prediction
  123. Semantic Association Rule Learning from Time Series Data and Knowledge Graphs
  124. Fast-ELECTRA for Efficient Pre-training
  125. Investigating the Effect of Language Models in Sequence Discriminative Training for Neural Transducers
  126. How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances
  127. From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models
  128. Exploring Social Motion Latent Space and Human Awareness for Effective Robot Navigation in Crowded Environments
  129. Functional Generalized Canonical Correlation Analysis for studying multiple longitudinal variables
  130. An Empirical Study of Instruction-tuning Large Language Models in Chinese
  131. An Adversarial Example for Direct Logit Attribution: Memory Management in GELU-4L
  132. Guided Attention for Interpretable Motion Captioning
  133. Multichannel consecutive data cross-extraction with 1DCNN-attention for diagnosis of power transformer
  134. A webcam-based machine learning approach for three-dimensional range of motion evaluation
  135. On the Impact of Cross-Domain Data on German Language Models
  136. Byzantine-Resilient Decentralized Multi-Armed Bandits
  137. Consistency of some sequential experimental design strategies for excursion set estimation based on vector-valued Gaussian processes
  138. Molecule-Edit Templates for Efficient and Accurate Retrosynthesis Prediction
  139. Deep Aramaic: Towards a Synthetic Data Paradigm Enabling Machine Learning in Epigraphy
  140. SNOiC: Soft Labeling and Noisy Mixup based Open Intent Classification Model
  141. Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models
  142. RobustGEC: Robust Grammatical Error Correction Against Subtle Context Perturbation
  143. Beyond Memorization: Violating Privacy Via Inference with Large Language Models
  144. Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators
  145. Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction
  146. An Analysis on Large Language Models in Healthcare: A Case Study of BioBERT
  147. Enhancing expressivity transfer in textless speech-to-speech translation
  148. BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations
  149. Why Does Sharpness-Aware Minimization Generalize Better Than SGD?
  150. RaftFed: A Lightweight Federated Learning Framework for Vehicular Crowd Intelligence
  151. Classification of Dysarthria based on the Levels of Severity. A Systematic Review
  152. CoPAL: Corrective Planning of Robot Actions with Large Language Models
  153. Deep ReLU networks and high-order finite element methods II: Chebyshev emulation
  154. Uncovering Hidden Connections: Iterative Search and Reasoning for Video-grounded Dialog
  155. ADASR: An Adversarial Auto-Augmentation Framework for Hyperspectral and Multispectral Data Fusion
  156. ADMEOOD: Out-of-Distribution Benchmark for Drug Property Prediction
  157. A Comparative Study of Pre-trained CNNs and GRU-Based Attention for Image Caption Generation
  158. Ethical Reasoning over Moral Alignment: A Case and Framework for In-Context Ethical Policies in LLMs
  159. Synthesizing Missing MRI Sequences from Available Modalities using Generative Adversarial Networks in BraTS Dataset
  160. IBoxCLA: Towards Robust Box-supervised Segmentation of Polyp via Improved Box-dice and Contrastive Latent-anchors
  161. Optimizing the Placement of Roadside LiDARs for Autonomous Driving
  162. Crowd Counting in Harsh Weather using Image Denoising with Pix2Pix GANs
  163. Surrogate modeling for stochastic crack growth processes in structural health monitoring applications
  164. SAGE-ICP: Semantic Information-Assisted ICP
  165. AdaMesh: Personalized Facial Expressions and Head Poses for Adaptive Speech-Driven 3D Facial Animation
  166. Are GATs Out of Balance?
  167. Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality
  168. ProFSA: Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment
  169. Do Large Language Models have Shared Weaknesses in Medical Question Answering?
  170. Bidirectional recurrent imputation and abundance estimation of LULC classes with MODIS multispectral time series and geo-topographic and climatic data
  171. Using Learnable Physics for Real-Time Exercise Form Recommendations
  172. COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL
  173. Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization
  174. Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices
  175. Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes
  176. Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance
  177. Bridging the Gap between Newton-Raphson Method and Regularized Policy Iteration
  178. Multi-task Explainable Skin Lesion Classification
  179. Robust Safe Reinforcement Learning under Adversarial Disturbances
  180. DeepSimHO: Stable Pose Estimation for Hand-Object Interaction via Physics Simulation
  181. MatChat: A Large Language Model and Application Service Platform for Materials Science
  182. Boosting Learning for LDPC Codes to Improve the Error-Floor Performance
  183. Neural networks: deep, shallow, or in between?
  184. SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition
  185. Kernel Cox partially linear regression: building predictive models for cancer patients' survival
  186. Multiview Transformer: Rethinking Spatial Information in Hyperspectral Image Classification
  187. NeuroInspect: Interpretable Neuron-based Debugging Framework through Class-conditional Visualizations
  188. SAM-OCTA: Prompting Segment-Anything for OCTA Image Segmentation
  189. rpcPRF: Generalizable MPI Neural Radiance Field for Satellite Camera
  190. Improving mitosis detection on histopathology images using large vision-language models
  191. Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions
  192. Advocating for the Silent: Enhancing Federated Generalization for Non-Participating Clients
  193. PHALM: Building a Knowledge Graph from Scratch by Prompting Humans and a Language Model
  194. Anchor-based Multi-view Subspace Clustering with Hierarchical Feature Descent
  195. Psychoacoustic Challenges Of Speech Enhancement On VoIP Platforms
  196. LLark: A Multimodal Instruction-Following Language Model for Music
  197. Solving Travelling Thief Problems using Coordination Based Methods
  198. "A Tale of Two Movements": Identifying and Comparing Perspectives in #BlackLivesMatter and #BlueLivesMatter Movements-related Tweets using Weakly Supervised Graph-based Structured Prediction
  199. No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML
  200. Determining Winners in Elections with Absent Votes
  201. Robust Unsupervised Domain Adaptation by Retaining Confident Entropy via Edge Concatenation
  202. QFT: Quantized Full-parameter Tuning of LLMs with Affordable Resources
  203. AE-smnsMLC: Multi-Label Classification with Semantic Matching and Negative Label Sampling for Product Attribute Value Extraction
  204. Exponential Quantum Communication Advantage in Distributed Inference and Learning
  205. Comparing Styles across Languages: A Cross-Cultural Exploration of Politeness
  206. Risk Aware Benchmarking of Large Language Models
  207. The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models
  208. ClausewitzGPT Framework: A New Frontier in Theoretical Large Language Model Enhanced Information Operations
  209. Argumentative Stance Prediction: An Exploratory Study on Multimodality and Few-Shot Learning
  210. Jaeger: A Concatenation-Based Multi-Transformer VQA Model
  211. Machine Learning Methods for Background Potential Estimation in 2DEGs
  212. Leveraging Twitter Data for Sentiment Analysis of Transit User Feedback: An NLP Framework