mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 4 Apr 2024

251 papers

  1. Elicitron: An LLM Agent-Based Simulation Framework for Design Requirements ElicitationLLM agents and tool use → Software engineering coding agents
  2. DiffObs: Generative Diffusion for Global Forecasting of Satellite ObservationsDiffusion models → Flow matching, time series and science
  3. CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question AnsweringLLM reasoning → Reasoning for agents, planning and code +1
  4. SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated ResponsesSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
  5. Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning through Logical Fallacy UnderstandingLLM reasoning → Reasoning benchmarks and evaluation
  6. Investigating Regularization of Self-Play Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
  7. CONFLARE: CONFormal LArge language model REtrievalRetrieval-augmented generation → RAG robustness and adaptive retrieval
  8. PARIS3D: Reasoning-based 3D Part Segmentation Using Large Multimodal ModelMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  9. CantTalkAboutThis: Aligning Language Models to Stay on Topic in DialoguesLLM reasoning → Reasoning benchmarks and evaluation +1
  10. Exploration is Harder than Prediction: Cryptographically Separating Reinforcement Learning from Supervised LearningDeep reinforcement learning methods → RL theory and sample complexity
  11. A Reinforcement Learning based Reset Policy for CDCL SAT SolversDeep reinforcement learning methods → Deep RL algorithms and representations
  12. JUICER: Data-Efficient Imitation Learning for Robotic AssemblyOffline RL and imitation learning from data → Robot manipulation imitation learning
  13. Direct Nash Optimization: Teaching Language Models to Self-Improve with General PreferencesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  14. Self-organized free-flight arrival for urban air mobilityDeep reinforcement learning methods → RL for robot navigation and UAV control
  15. Bi-level Guided Diffusion Models for Zero-Shot Medical Imaging Inverse ProblemsDiffusion models → Inverse problems and image restoration
  16. CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept MatchingDiffusion models → Image generation, text-to-image and editing +1
  17. The More You See in 2D, the More You Perceive in 3DDiffusion models → 3D, point cloud and scene generation
  18. OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel ViewsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  19. AutoWebGLM: A Large Language Model-based Web Navigating AgentLLM agents and tool use → Web, search, and research agents
  20. Locating and Editing Factual Associations in MambaState-space sequence models (S4, Mamba) → Core SSM architectures for language
  21. DiffBody: Human Body Restoration by Imagining with Generative Diffusion PriorDiffusion models → 3D, point cloud and scene generation
  22. Mind's Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language ModelsLLM reasoning → Spatial and embodied reasoning
  23. LCM-Lookahead for Encoder-based Text-to-Image PersonalizationDiffusion models → Image generation, text-to-image and editing
  24. DeViDe: Faceted medical knowledge for improved medical vision-language pre-trainingMultimodal LLMs / vision-language models → Medical vision-language models
  25. DiffDet4SAR: Diffusion-based Aircraft Target Detection Network for SAR ImagesDiffusion models → Inverse problems and image restoration
  26. Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal AlgorithmsDeep reinforcement learning methods → RL theory and sample complexity
  27. Untangle the KNOT: Interweaving Conflicting Knowledge and Reasoning Skills in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  28. PointInfinity: Resolution-Invariant Point Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  29. Segmentation-Guided Knee Radiograph Generation using Conditional Diffusion ModelsDiffusion models → Medical imaging and segmentation
  30. SDPose: Tokenized Pose Estimation via Circulation-Guide Self-DistillationKnowledge distillation → General knowledge distillation methods
  31. Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language ModelsRetrieval-augmented generation → Generation and context integration
  32. AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and ScaleDeep reinforcement learning methods → RL for robot navigation and UAV control
  33. ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space ModelState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  34. Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-ThoughtLLM reasoning → Test-time compute and efficient thinking
  35. MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual TokensMultimodal LLMs / vision-language models → Video understanding with MLLMs
  36. Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?LLM safety and security → Jailbreaking
  37. SENSOR: Imitate Third-Person Expert's Behaviors via Active SensoringOffline RL and imitation learning from data → Robot manipulation imitation learning
  38. DIDA: Denoised Imitation Learning based on Domain AdaptationOffline RL and imitation learning from data → Imitation learning methods
  39. Elementary Analysis of Policy Gradient MethodsDeep reinforcement learning methods → RL theory and sample complexity
  40. nicolay-r at SemEval-2024 Task 3: Using Flan-T5 for Reasoning Emotion Cause in Conversations with Chain-of-Thought on Emotion StatesLLM reasoning → Audio-language model reasoning
  41. REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement LearningDeep reinforcement learning methods → Interpretable and logic-guided RL
  42. Benchmarking Population-Based Reinforcement Learning across Robotic Tasks with GPU-Accelerated SimulationDeep reinforcement learning methods → Deep RL algorithms and representations
  43. A Directional Diffusion Graph Transformer for RecommendationDiffusion models → Diffusion recommenders
  44. SiloFuse: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  45. On the Surprising Efficacy of Distillation as an Alternative to Pre-Training Small ModelsKnowledge distillation → General knowledge distillation methods
  46. Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine UnlearningLLM safety and security → Machine unlearning
  47. RALL-E: Robust Codec Language Modeling with Chain-of-Thought Prompting for Text-to-Speech SynthesisLLM reasoning → Audio-language model reasoning
  48. Okay, Let's Do This! Modeling Event Coreference with Generated Rationales and Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
  49. Goldfish: An Efficient Federated Unlearning FrameworkLLM safety and security → Federated unlearning and poisoning
  50. HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point CloudDiffusion models → Diffusion and flow policies for robotics
  51. DreamWalk: Style Space Exploration using Diffusion GuidanceDiffusion models → Image generation, text-to-image and editing
  52. Robust Pronoun Fidelity with English LLMs: Are they Reasoning, Repeating, or Just Biased?LLM reasoning → Reasoning benchmarks and evaluation
  53. LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation
  54. Dissecting Query-Key Interaction in Vision Transformers
  55. GP-MoLFormer: A Foundation Model For Molecular Generation
  56. Mitigating LLM Hallucinations via Conformal Abstention
  57. Data Quality in Crowdsourcing and Spamming Behavior Detection
  58. Using Large Language Models to Enrich the Documentation of Datasets for Machine Learning
  59. Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games
  60. Analyzing heterogeneity in Alzheimer Disease using multimodal normative modeling on imaging-based ATN biomarkers
  61. GENEVIC: GENetic data Exploration and Visualization via Intelligent interactive Console
  62. Transducers with Pronunciation-aware Embeddings for Automatic Speech Recognition
  63. Conversational Disease Diagnosis via External Planner-Controlled Large Language Models
  64. Designing for Human-Agent Alignment: Understanding what humans want from their agents
  65. Bias Amplification in Language Model Evolution: An Iterated Learning Perspective
  66. No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
  67. Cross-Modality Gait Recognition: Bridging LiDAR and Camera Modalities for Human Identification
  68. A Block-Coordinate Descent EMO Algorithm: Theoretical and Empirical Analysis
  69. An ExplainableFair Framework for Prediction of Substance Use Disorder Treatment Completion
  70. SleepVST: Sleep Staging from Near-Infrared Video Signals using Pre-Trained Transformers
  71. BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model
  72. Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
  73. Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models
  74. An Investigation into Misuse of Java Security APIs by Large Language Models
  75. Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer
  76. PRobELM: Plausibility Ranking Evaluation for Language Models
  77. Agnostic Tomography of Stabilizer Product States
  78. TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival, and Recurrent Events with Concurrent Latent Structure
  79. Learning Social Fairness Preferences from Non-Expert Stakeholder Opinions in Kidney Placement
  80. Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation
  81. Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture
  82. A Layer Selection Approach to Test Time Adaptation
  83. Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincar'e Ball
  84. A Systems Theoretic Approach to Online Machine Learning
  85. On Extending the Automatic Test Markup Language (ATML) for Machine Learning
  86. Learning smooth functions in high dimensions: from sparse polynomials to deep neural networks
  87. Localized Distributional Robustness in Submodular Multi-Task Subset Selection
  88. Data Science for Geographic Information Systems
  89. GenQREnsemble: Zero-Shot LLM Ensemble Prompting for Generative Query Reformulation
  90. Fakes of Varying Shades: How Warning Affects Human Perception and Engagement Regarding LLM Hallucinations
  91. Test Time Training for Industrial Anomaly Segmentation
  92. SC4D: Sparse-Controlled Video-to-4D Generation and Motion Transfer
  93. SHROOM-INDElab at SemEval-2024 Task 6: Zero- and Few-Shot LLM-Based Classification for Hallucination Detection
  94. SpikeExplorer: hardware-oriented Design Space Exploration for Spiking Neural Networks on FPGA
  95. Explaining Explainability: Recommendations for Effective Use of Concept Activation Vectors
  96. Proceedings 12th International Workshop on Theorem proving components for Educational software
  97. Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning
  98. Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study
  99. Improvement of Performance in Freezing of Gait detection in Parkinsons Disease using Transformer networks and a single waist worn triaxial accelerometer
  100. Mitigating analytical variability in fMRI results with style transfer
All 251
  1. Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach
  2. Predictive Analytics of Varieties of Potatoes
  3. Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning
  4. OW-VISCapTor: Abstractors for Open-World Video Instance Segmentation and Captioning
  5. MVD-Fusion: Single-view 3D via Depth-consistent Multi-view Generation
  6. RaFE: Generative Radiance Fields Restoration
  7. Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra
  8. Decoupling Static and Hierarchical Motion Perception for Referring Video Segmentation
  9. WorDepth: Variational Language Prior for Monocular Depth Estimation
  10. PreAfford: Universal Affordance-Based Pre-Grasping for Diverse Objects and Environments
  11. Reference-Based 3D-Aware Image Editing with Triplanes
  12. Robust Concept Erasure Using Task Vectors
  13. Training LLMs over Neurally Compressed Text
  14. Standardizing Knowledge Engineering Practices with a Reference Architecture
  15. Unveiling LLMs: The Evolution of Latent Representations in a Dynamic Knowledge Graph
  16. On the Efficiency of Convolutional Neural Networks
  17. Per-Gaussian Embedding-Based Deformation for Deformable 3D Gaussian Splatting
  18. InsectMamba: Insect Pest Classification with State Space Model
  19. Sailor: Open Language Models for South-East Asia
  20. Analyzing Musical Characteristics of National Anthems in Relation to Global Indices
  21. Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization
  22. Evaluating LLMs at Detecting Errors in LLM Responses
  23. Intent Detection and Entity Extraction from BioMedical Literature
  24. Laser Learning Environment: A new environment for coordination-critical multi-agent tasks
  25. ReFT: Representation Finetuning for Language Models
  26. SemGrasp: Semantic Grasp Generation via Language Aligned Discretization
  27. Anticipate & Collab: Data-driven Task Anticipation and Knowledge-driven Planning for Human-robot Collaboration
  28. Leveraging Interpolation Models and Error Bounds for Verifiable Scientific Machine Learning
  29. Towards more realistic human motion prediction with attention to motion coordination
  30. DreamScene: 3D Gaussian-based Text-to-3D Scene Generation via Formation Pattern Sampling
  31. TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices
  32. Terrain Point Cloud Inpainting via Signal Decomposition
  33. Personalized LLM Response Generation with Parameterized Memory Injection
  34. EASSE-DE: Easier Automatic Sentence Simplification Evaluation for German
  35. Select and Summarize: Scene Saliency for Movie Script Summarization
  36. How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function Classes
  37. From News to Summaries: Building a Hungarian Corpus for Extractive and Abstractive Summarization
  38. Alzheimer's disease detection in PSG signals
  39. CodeEditorBench: Evaluating Code Editing Capability of Large Language Models
  40. Is CLIP the main roadblock for fine-grained open-world perception?
  41. If It's Not Enough, Make It So: Reducing Authentic Data Demand in Face Recognition through Synthetic Faces
  42. Evaluating Generative Language Models in Information Extraction as Subjective Question Correction
  43. COMO: Compact Mapping and Odometry
  44. BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering
  45. HAPNet: Toward Superior RGB-Thermal Scene Parsing via Hybrid, Asymmetric, and Progressive Heterogeneous Feature Fusion
  46. Approximate Gradient Coding for Privacy-Flexible Federated Learning with Non-IID Data
  47. DQ-DETR: DETR with Dynamic Query for Tiny Object Detection
  48. CountARFactuals -- Generating plausible model-agnostic counterfactual explanations with adversarial random forests
  49. AI and the Problem of Knowledge Collapse
  50. Comprehensible Artificial Intelligence on Knowledge Graphs: A survey
  51. Deep Transductive Outlier Detection
  52. A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive Data
  53. A Cause-Effect Look at Alleviating Hallucination of Knowledge-grounded Dialogue Generation
  54. Generative AI and Teachers -- For Us or Against Us? A Case Study
  55. Towards Automated Movie Trailer Generation
  56. Performance of computer vision algorithms for fine-grained classification using crowdsourced insect images
  57. Generalization Bounds for Message Passing Networks on Mixture of Graphons
  58. Template-Based Probes Are Imperfect Lenses for Counterfactual Bias Evaluation in LLMs
  59. You Only Scan Once: A Dynamic Scene Reconstruction Pipeline for 6-DoF Robotic Grasping of Novel Objects
  60. Conditioning of Banach Space Valued Gaussian Random Variables: An Approximation Approach Based on Martingales
  61. How Much Data are Enough? Investigating Dataset Requirements for Patch-Based Brain MRI Segmentation Tasks
  62. SP2OT: Semantic-Regularized Progressive Partial Optimal Transport for Imbalanced Clustering
  63. Part-Attention Based Model Make Occluded Person Re-Identification Stronger
  64. Benchmarking ChatGPT on Algorithmic Reasoning
  65. Knowledge Graph Representation for Political Information Sources
  66. Learning From Simplicial Data Based on Random Walks and 1D Convolutions
  67. Scaffolding Language Learning via Multi-modal Tutoring Systems with Pedagogical Instructions
  68. Edisum: Summarizing and Explaining Wikipedia Edits at Scale
  69. Accurate estimation of feature importance faithfulness for tree models
  70. Gen3DSR: Generalizable 3D Scene Reconstruction via Divide and Conquer from a Single View
  71. Integrating Hyperparameter Search into Model-Free AutoML with Context-Free Grammars
  72. Permissible Knowledge Pooling
  73. NMF-Based Analysis of Mobile Eye-Tracking Data
  74. Future Predictive Success-or-Failure Classification for Long-Horizon Robotic Tasks
  75. AIGIQA-20K: A Large Database for AI-Generated Image Quality Assessment
  76. Scaling Up Video Summarization Pretraining with Large Language Models
  77. Background Noise Reduction of Attention Map for Weakly Supervised Semantic Segmentation
  78. Boosting Unsupervised Segmentation Learning
  79. LongVLM: Efficient Long Video Understanding via Large Language Models
  80. Learning to Plan and Generate Text with Citations
  81. On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers
  82. Graph Neural Networks for Electric and Hydraulic Data Fusion to Enhance Short-term Forecasting of Pumped-storage Hydroelectricity
  83. A Comprehensive Survey on Self-Supervised Learning for Recommendation
  84. Towards Pareto Optimal Throughput in Small Language Model Serving
  85. VF-NeRF: Viewshed Fields for Rigid NeRF Registration
  86. Knowledge Distillation-Based Model Extraction Attack using GAN-based Private Counterfactual Explanations
  87. Schroedinger's Threshold: When the AUC doesn't predict Accuracy
  88. Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks
  89. LancBiO: dynamic Lanczos-aided bilevel optimization via Krylov subspace
  90. COMPILED: Deep Metric Learning for Defect Classification of Threaded Pipe Connections using Multichannel Partially Observed Functional Data
  91. DI-Retinex: Digital-Imaging Retinex Theory for Low-Light Image Enhancement
  92. Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack
  93. A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking The Privacy-Utility Trade-off
  94. Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning
  95. Exploring Lightweight Federated Learning for Distributed Load Forecasting
  96. M3TCM: Multi-modal Multi-task Context Model for Utterance Classification in Motivational Interviews
  97. Site-specific Deterministic Temperature and Humidity Forecasts with Explainable and Reliable Machine Learning
  98. Optimistic Online Non-stochastic Control via FTRL
  99. Concept -- An Evaluation Protocol on Conversational Recommender Systems with System-centric and User-centric Factors
  100. How Easily do Irrelevant Inputs Skew the Responses of Large Language Models?
  101. Probing Large Language Models for Scalar Adjective Lexical Semantics and Scalar Diversity Pragmatics
  102. AdaBM: On-the-Fly Adaptive Bit Mapping for Image Super-Resolution
  103. Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation
  104. Evaluating Document Simplification: On the Importance of Separately Assessing Simplicity and Meaning Preservation
  105. Design and Development of a Framework For Stroke-Based Handwritten Gujarati Font Generation
  106. A Deep Reinforcement Learning Approach for Security-Aware Service Acquisition in IoT
  107. DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models
  108. Gaussian-Smoothed Sliced Probability Divergences
  109. Cryptographic Hardness of Score Estimation
  110. Foundation Model for Advancing Healthcare: Challenges, Opportunities, and Future Directions
  111. Advancing Aspect-Based Sentiment Analysis through Deep Learning Models
  112. Multi Positive Contrastive Learning with Pose-Consistent Generated Images
  113. A dataset of primary nasopharyngeal carcinoma MRI with multi-modalities segmentation
  114. Real-time Noise Source Estimation of a Camera System from an Image and Metadata
  115. Multi-task learning via robust regularized clustering with non-convex group penalties
  116. Learning Transferable Negative Prompts for Out-of-Distribution Detection
  117. Would Deep Generative Models Amplify Bias in Future Models?
  118. Knowledge-Based Convolutional Neural Network for the Simulation and Prediction of Two-Phase Darcy Flows
  119. Exploring Emotions in Multi-componential Space using Interactive VR Games
  120. Transferable Graphical MARL for Real-Time Estimation in Dynamic Wireless Networks
  121. FACTUAL: A Novel Framework for Contrastive Learning Based Robust SAR Image Classification
  122. Enabling Clean Energy Resilience with Machine Learning-Empowered Underground Hydrogen Storage
  123. iSeg: Interactive 3D Segmentation via Interactive Attention
  124. LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity
  125. Online Regularized Statistical Learning in Reproducing Kernel Hilbert Space With Non-Stationary Data
  126. HDR Imaging for Dynamic Scenes with Events
  127. HiMAL: A Multimodal Hierarchical Multi-task Auxiliary Learning framework for predicting and explaining Alzheimer disease progression
  128. OmniGS: Fast Radiance Field Reconstruction using Omnidirectional Gaussian Splatting
  129. Future-Proofing Class-Incremental Learning
  130. Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers
  131. CORP: A Multi-Modal Dataset for Campus-Oriented Roadside Perception Tasks
  132. Adaptive Discrete Disparity Volume for Self-supervised Monocular Depth Estimation
  133. The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models
  134. Classification of Nasopharyngeal Cases using DenseNet Deep Learning Architecture
  135. AGL-NET: Aerial-Ground Cross-Modal Global Localization with Varying Scales
  136. The Death of Feature Engineering? BERT with Linguistic Features on SQuAD 2.0
  137. BodyMAP -- Jointly Predicting Body Mesh and 3D Applied Pressure Map for People in Bed
  138. MonoCD: Monocular 3D Object Detection with Complementary Depths
  139. UniAV: Unified Audio-Visual Perception for Multi-Task Video Event Localization
  140. Information-Theoretic Generalization Bounds for Deep Neural Networks
  141. Multi-modal Learning for WebAssembly Reverse Engineering
  142. KG4RecEval: Does Knowledge Graph Really Matter for Recommender Systems?
  143. Uncertainty in Language Models: Assessment through Rank-Calibration
  144. BioVL-QR: Egocentric Biochemical Vision-and-Language Dataset Using Micro QR Codes
  145. NLP at UC Santa Cruz at SemEval-2024 Task 5: Legal Answer Validation using Few-Shot Multi-Choice QA
  146. Eigenpruning: an Interpretability-Inspired PEFT Method
  147. Diverse and Tailored Image Generation for Zero-shot Multi-label Classification
  148. Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks
  149. Discontinuity-preserving Normal Integration with Auxiliary Edges
  150. A Framework for Guided Motion Planning
  151. GaSpCT: Gaussian Splatting for Novel CT Projection View Synthesis