mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 7 Feb 2024

301 papers

  1. ALOHA 2: An Enhanced Low-Cost Hardware for Bimanual TeleoperationWorld models → Embodied and robot world models
  2. ViT-MUL: A Baseline Study on Recent Machine Unlearning Methods Applied to Vision TransformersLLM safety and security → Machine unlearning
  3. Large Language User Interfaces: Voice Interactive User Interfaces powered by LLMsLLM reasoning → Reasoning for agents, planning and code
  4. Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer LearningLLM safety and security → Membership inference attacks
  5. Three Pathways to Neurosymbolic Reinforcement Learning with Interpretable Model and Policy NetworksDeep reinforcement learning methods → Interpretable and logic-guided RL
  6. Interactive Symbolic Regression through Offline Reinforcement Learning: A Co-Design FrameworkOffline RL and imitation learning from data → Decision transformers and sequence modeling
  7. Knowledge Distillation for Road Detection based on cross-model Semi-Supervised LearningKnowledge distillation → Detection and dense prediction distillation
  8. Do Transformer World Models Give Better Policy Gradients?World models → Latent dynamics models and model-based RL +1
  9. Analyzing Adversarial Inputs in Deep Reinforcement LearningDeep reinforcement learning methods → Adversarial robustness and RL in finance
  10. Safety Filters for Black-Box Dynamical Systems by Learning Discriminating HyperplanesDeep reinforcement learning methods → Safe and constrained RL
  11. Convergence of Natural Policy Gradient for a Family of Infinite-State Queueing MDPsDeep reinforcement learning methods → RL theory and sample complexity
  12. A computational approach to visual ecology with deep reinforcement learningDeep reinforcement learning methods → RL for robot navigation and UAV control
  13. On Parameter Estimation in Deviated Gaussian Mixture of ExpertsMixture-of-experts → MoE theory and gating functions
  14. Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion ModelsDiffusion models → Medical imaging and segmentation
  15. λ-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent SpaceDiffusion models → Image generation, text-to-image and editing
  16. InCoRo: In-Context Learning for Robotics Control with Feedback LoopsLLM reasoning → Spatial and embodied reasoning
  17. Learning mirror maps in policy mirror descentDeep reinforcement learning methods → RL theory and sample complexity
  18. Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank ModificationsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  19. FlowPG: Action-constrained Policy Gradient with Normalizing FlowsDeep reinforcement learning methods → RL with diffusion and flow models
  20. Compressing Deep Reinforcement Learning Networks with a Dynamic Structured Pruning Method for Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving +1
  21. Opening the AI black box: program synthesis via mechanistic interpretabilityMechanistic interpretability → Circuits and mechanistic analysis
  22. Hydra: Sequentially-Dependent Draft Heads for Medusa DecodingEfficient LLM inference and serving → Speculative decoding
  23. Improved off-policy training of diffusion samplersDiffusion models → Diffusion foundations and sampling
  24. Language-Based Augmentation to Address Shortcut Learning in Object Goal NavigationDeep reinforcement learning methods → RL for robot navigation and UAV control
  25. Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  26. A Roadmap to Pluralistic AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  27. Mobile Robot Exploration Without Maps via Out-of-Distribution Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
  28. Tuning the feedback controller gains is a simple way to improve autonomous driving performanceEnd-to-end autonomous driving → Cooperative and V2X driving
  29. Pedagogical Alignment of Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  30. Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-DesignDiffusion models → Flow matching, time series and science
  31. An Enhanced Prompt-Based LLM Reasoning Scheme via Knowledge Graph-Integrated CollaborationLLM reasoning → Knowledge- and tool-augmented reasoning
  32. Blue noise for diffusion modelsDiffusion models → Diffusion foundations and sampling
  33. Source-Free Domain Adaptation with Diffusion-Guided Source Data GenerationDiffusion models → Diffusion foundations and sampling
  34. Deep Reinforcement Learning with Dynamic Graphs for Adaptive Informative Path PlanningDeep reinforcement learning methods → RL for robot navigation and UAV control
  35. Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware PolicyDeep reinforcement learning methods → Deep RL algorithms and representations
  36. Multimodal Query Suggestion with Multi-Agent Reinforcement Learning from Human FeedbackLLM agents and tool use → Web, search, and research agents
  37. CodeIt: Self-Improving Language Models with Prioritized Hindsight ReplayLLM reasoning → Multimodal reasoning +1
  38. Explaining Learned Reward Functions with Counterfactual TrajectoriesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  39. AlphaFold Meets Flow Matching for Generating Protein EnsemblesDiffusion models → Flow matching, time series and science
  40. PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity RecognitionEfficient LLM inference and serving → Speculative decoding
  41. Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-TuningLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  42. Progressive unsupervised domain adaptation for ASR using ensemble models and multi-stage trainingKnowledge distillation → Speech and audio distillation
  43. Direct Language Model Alignment from Online AI FeedbackLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  44. MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language BenchmarkMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  45. Hierarchical Motion Planning and Offline Robust Model Predictive Control for Autonomous VehiclesEnd-to-end autonomous driving → Reinforcement learning for driving
  46. Code as Reward: Empowering Reinforcement Learning with VLMsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  47. Towards Aligned Layout Generation via Diffusion Model with Aesthetic ConstraintsDiffusion models → Image generation, text-to-image and editing
  48. Cortical Surface Diffusion Generative ModelsDiffusion models → Medical imaging and segmentation
  49. Robust policy iteration for continuous-time stochastic H_∞ control problem with unknown dynamicsDeep reinforcement learning methods → RL for games and combinatorial optimization
  50. Investigating Driving Interactions: A Robust Multi-Agent Simulation Framework for Autonomous VehiclesEnd-to-end autonomous driving → Cooperative and V2X driving
  51. Breaking Free: How to Hack Safety Guardrails in Black-Box Diffusion Models!Diffusion models → Robustness, privacy and adversarial aspects +1
  52. Open-Vocabulary Calibration for Fine-tuned CLIPMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  53. An analysis of the noise schedule for score-based generative modelsDiffusion models → Diffusion foundations and sampling
  54. The Future of Cognitive Strategy-enhanced Persuasive Dialogue Agents: New Perspectives and TrendsLLM agents and tool use → General LLM agent frameworks and benchmarks
  55. LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained DescriptorsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
  56. Noise Map Guidance: Inversion with Spatial Context for Real Image EditingDiffusion models → Image generation, text-to-image and editing
  57. InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context MemoryLLM agents and tool use → Agent memory systems
  58. Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge DistillationLLM reasoning → Prompting and chain-of-thought reasoning +1
  59. ScreenAI: A Vision-Language Model for UI and Infographics UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  60. Boosting Reinforcement Learning Algorithms in Continuous Robotic Reaching Tasks using Adaptive Potential FunctionsDeep reinforcement learning methods → Deep RL algorithms and representations
  61. S-Agents: Self-organizing Agents in Open-ended EnvironmentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  62. OIL-AD: An Anomaly Detection Framework for Sequential Decision SequencesOffline RL and imitation learning from data → Imitation learning methods
  63. Can Large Language Model Agents Simulate Human Trust Behavior?LLM agents and tool use → Social simulation and multi-agent debate
  64. FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  65. Learning Diverse Policies with Soft Self-Generated GuidanceDeep reinforcement learning methods → Deep RL algorithms and representations
  66. A Deep Reinforcement Learning Approach for Adaptive Traffic Routing in Next-gen NetworksDeep reinforcement learning methods → RL for energy, networks and operations
  67. Text2Street: Controllable Text-to-image Generation for Street ViewsDiffusion models → Image generation, text-to-image and editing
  68. A Primal-Dual Algorithm for Offline Constrained Reinforcement Learning with Linear MDPsOffline RL and imitation learning from data → Offline RL algorithms
  69. A New Method for Sensorless Estimation of the Speed and Position in Brushed DC Motors Using Support Vector Machines
  70. CapsF: Capsule Fusion for Extracting psychiatric stressors for suicide from twitter
  71. Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures
  72. Counterfactual Image Editing
  73. Pre-Sorted Tsetlin Machine (The Genetic K-Medoid Method)
  74. Unmasking the Shadows of AI: Investigating Deceptive Capabilities in Large Language Models
  75. Comparison of edge computing methods in Internet of Things architectures for efficient estimation of indoor environmental parameters with Machine Learning
  76. Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation
  77. Teranga Go!: Carpooling Collaborative Consumption Community with multi-criteria hesitant fuzzy linguistic term set opinions to build confidence and trust
  78. Using text embedding models as text classifiers with medical data
  79. Advanced Academic Team Worker Recommendation Models
  80. The Role of LLMs in Sustainable Smart Cities: Applications, Challenges, and Future Directions
  81. Scaling Up LLM Reviews for Google Ads Content Moderation
  82. Neural machine translation of clinical procedure codes for medical diagnosis and uncertainty quantification
  83. News Source Credibility Assessment: A Reddit Case Study
  84. A Lightweight Inception Boosted U-Net Neural Network for Routability Prediction
  85. Personalized Federated Learning for Statistical Heterogeneity
  86. Deep Learning Based Situation Awareness for Multiple Missiles Evasion
  87. Tuning In: Analysis of Audio Classifier Performance in Clinical Settings with Limited Data
  88. Optimistic Thompson Sampling for No-Regret Learning in Unknown Games
  89. Can machine learning predict citizen-reported angler behavior?
  90. A Masked language model for multi-source EHR trajectories contextual representation learning
  91. Advancing Explainable AI Toward Human-Like Intelligence: Forging the Path to Artificial Brain
  92. On the Standardization of Behavioral Use Clauses and Their Adoption for Responsible Licensing of AI
  93. Combining shape and contour features to improve tool wear monitoring in milling processes
  94. Tool wear monitoring using an online, automatic and low cost system based on local texture
  95. RankSum An unsupervised extractive text summarization based on rank fusion
  96. RAGE for the Machine: Image Compression with Low-Cost Random Access for Embedded Applications
  97. Blockchain-enabled Clustered and Scalable Federated Learning (BCS-FL) Framework in UAV Networks
  98. Gaussian-process-regression-based method for the localization of exceptional points in complex resonance spectra
  99. Structure-Informed Protein Language Model
  100. Learning on Multimodal Graphs: A Survey
All 301
  1. Navigating the Knowledge Sea: Planet-scale answer retrieval using LLMs
  2. Dual-disentangled Deep Multiple Clustering
  3. Investigating Generalization Behaviours of Generative Flow Networks
  4. BIKED++: A Multimodal Dataset of 1.4 Million Bicycle Image and Parametric CAD Designs
  5. Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach
  6. An information theoretic approach to quantify the stability of feature selection and ranking algorithms
  7. Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection
  8. A comparative study on feature selection for a risk prediction model for colorectal cancer
  9. Graph convolutional network as a fast statistical emulator for numerical ice sheet modeling
  10. TreeForm: End-to-end Annotation and Evaluation for Form Document Parsing
  11. Physics Informed and Data Driven Simulation of Underwater Images via Residual Learning
  12. No Dimensional Sampling Coresets for Classification
  13. Exploring Hierarchical Classification Performance for Time Series Data: Dissimilarity Measures and Classifier Comparisons
  14. Feature learning as alignment: a structural property of gradient descent in non-linear neural networks
  15. AdaBatchGrad: Combining Adaptive Batch Size and Adaptive Step Size
  16. Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages
  17. SPAD : Spatially Aware Multiview Diffusers
  18. QGFN: Controllable Greediness with Action Values
  19. Universal Neural Functionals
  20. VerAs: Verify then Assess STEM Lab Reports
  21. Self-calibrated convolution towards glioma segmentation
  22. Bellman Conformal Inference: Calibrating Prediction Intervals For Time Series
  23. The Effect of Sampling Temperature on Problem Solving in Large Language Models
  24. Are LLMs Ready for Real-World Materials Discovery?
  25. JAX-Fluids 2.0: Towards HPC for Differentiable CFD of Compressible Two-phase Flows
  26. cecilia: A Machine Learning-Based Pipeline for Measuring Metal Abundances of Helium-rich Polluted White Dwarfs
  27. Towards Understanding Inductive Bias in Transformers: A View From Infinity
  28. A Resource Model For Neural Scaling Law
  29. What's documented in AI? Systematic Analysis of 32K AI Model Cards
  30. Enhancement of Bengali OCR by Specialized Models and Advanced Techniques for Diverse Document Types
  31. What About the Data? A Mapping Study on Data Engineering for AI Systems
  32. Non-convergence to global minimizers for Adam and stochastic gradient descent optimization and constructions of local minimizers in the training of artificial neural networks
  33. Adaptive Hypergraph Network for Trust Prediction
  34. Estimating On-road Transportation Carbon Emissions from Open Data of Road Network and Origin-destination Flow Data
  35. CrashFormer: A Multimodal Architecture to Predict the Risk of Crash
  36. Designing deep neural networks for driver intention recognition
  37. Cost Optimized Scheduling in Modular Electrolysis Plants
  38. ApiQ: Finetuning of 2-Bit Quantized Large Language Model
  39. Online Learning Approach for Survival Analysis
  40. A Bandit Approach with Evolutionary Operators for Model Selection
  41. The Foundations of Computational Management: A Systematic Approach to Task Automation for the Integration of Artificial Intelligence into Existing Workflows
  42. Edu-ConvoKit: An Open-Source Library for Education Conversation Data
  43. Image captioning for Brazilian Portuguese using GRIT model
  44. Tighter Generalisation Bounds via Interpolation
  45. Hydragen: High-Throughput LLM Inference with Shared Prefixes
  46. NITO: Neural Implicit Fields for Resolution-free Topology Optimization
  47. Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity
  48. A Novel Paradigm in Solving Multiscale Problems
  49. LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation
  50. Causal Representation Learning from Multiple Distributions: A General Setting
  51. Federated Learning Can Find Friends That Are Advantageous
  52. How VADER is your AI? Towards a definition of artificial intelligence systems appropriate for regulation
  53. Efficient Multi-Resolution Fusion for Remote Sensing Data with Label Uncertainty
  54. SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models
  55. PAC Learnability under Explanation-Preserving Graph Perturbations
  56. A Survey on Domain Generalization for Medical Image Analysis
  57. How BERT Speaks Shakespearean English? Evaluating Historical Bias in Contextual Language Models
  58. Majority Kernels: An Approach to Leverage Big Model Dynamics for Efficient Small Model Training
  59. Towards Generalizability of Multi-Agent Reinforcement Learning in Graphs with Recurrent Message Passing
  60. Strong convexity-guided hyper-parameter optimization for flatter losses
  61. A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?
  62. Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth
  63. Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
  64. EfficientViT-SAM: Accelerated Segment Anything Model Without Accuracy Loss
  65. Example-based Explanations for Random Forests using Machine Unlearning
  66. Randomized Confidence Bounds for Stochastic Partial Monitoring
  67. PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses
  68. Beyond explaining: XAI-based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction
  69. Asymptotics of feature learning in two-layer networks after one gradient-step
  70. Detection and Pose Estimation of flat, Texture-less Industry Objects on HoloLens using synthetic Training
  71. ChatScratch: An AI-Augmented System Toward Autonomous Visual Programming Learning for Children Aged 6-12
  72. Multi-Sender Persuasion: A Computational Perspective
  73. Text or Image? What is More Important in Cross-Domain Generalization Capabilities of Hate Meme Detection Models?
  74. ConvLoRA and AdaBN based Domain Adaptation via Self-Training
  75. Channel-Selective Normalization for Label-Shift Robust Test-Time Adaptation
  76. Reconfidencing LLMs from the Grouping Loss Perspective
  77. Conversational Assistants in Knowledge-Intensive Contexts: An Evaluation of LLM- versus Intent-based Systems
  78. 4-Dimensional deformation part model for pose estimation using Kalman filter constraints
  79. Separation-based distance measures for causal graphs
  80. An approach to automated videogame beta testing
  81. Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits
  82. Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching
  83. Voronoi Candidates for Bayesian Optimization
  84. Is Two-shot All You Need? A Label-efficient Approach for Video Segmentation in Breast Ultrasound
  85. Prompting Implicit Discourse Relation Annotation
  86. Moco: A Learnable Meta Optimizer for Combinatorial Optimization
  87. Personalized Text Generation with Fine-Grained Linguistic Control
  88. Towards Biologically Plausible and Private Gene Expression Data Generation
  89. On a Combinatorial Problem Arising in Machine Teaching
  90. Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects
  91. L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models
  92. The Strain of Success: A Predictive Model for Injury Risk Mitigation and Team Success in Soccer
  93. Probabilistic ML Verification via Weighted Model Integration
  94. Detecting Generated Native Ads in Conversational Search
  95. Toward Accurate Camera-based 3D Object Detection via Cascade Depth Estimation and Calibration
  96. Shape-biased Texture Agnostic Representations for Improved Textureless and Metallic Object Detection and 6D Pose Estimation
  97. On Provable Length and Compositional Generalization
  98. Advancing Video Anomaly Detection: A Concise Review and a New Dataset
  99. Dual-Path Coupled Image Deraining Network via Spatial-Frequency Interaction
  100. Hierarchical Tree-structured Knowledge Graph For Academic Insight Survey
  101. Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning
  102. Data-efficient Large Vision Models through Sequential Autoregression
  103. On the Completeness of Invariant Geometric Deep Learning Models
  104. Pseudo-labelling meets Label Smoothing for Noisy Partial Label Learning
  105. Structured d-DNNF Is Not Closed Under Negation
  106. Closing the Gap Between SGP4 and High-Precision Propagation via Differentiable Programming
  107. NeRF as a Non-Distant Environment Emitter in Physics-based Inverse Rendering
  108. Fast Timing-Conditioned Latent Audio Diffusion
  109. Learning Communication Policies for Different Follower Behaviors in a Collaborative Reference Game
  110. How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data
  111. E(3)-Equivariant Mesh Neural Networks
  112. BOWL: A Deceptively Simple Open World Learner
  113. Aspect-Based Sentiment Analysis for Open-Ended HR Survey Responses
  114. Spiking-PhysFormer: Camera-Based Remote Photoplethysmography with Parallel Spike-driven Transformer
  115. Mesh-based Gaussian Splatting for Real-time Large-scale Deformation
  116. Scalable Multi-view Clustering via Explicit Kernel Features Maps
  117. A Hypothesis-Driven Framework for the Analysis of Self-Rationalising Models
  118. Shadowheart SGD: Distributed Asynchronous SGD with Optimal Time Complexity Under Arbitrary Computation and Communication Heterogeneity
  119. Analyzing the Neural Tangent Kernel of Periodically Activated Coordinate Networks
  120. StableMask: Refining Causal Masking in Decoder-only Transformer
  121. A fast score-based search algorithm for maximal ancestral graphs using entropy
  122. Robot Interaction Behavior Generation based on Social Motion Forecasting for Human-Robot Interaction
  123. Emergence of specialized Collective Behaviors in Evolving Heterogeneous Swarms
  124. Color Recognition in Challenging Lighting Environments: CNN Approach
  125. Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation
  126. Asymptotic Dynamics of Alternating Minimization for Bilinear Regression
  127. AINS: Affordable Indoor Navigation Solution via Line Color Identification Using Mono-Camera for Autonomous Vehicles
  128. Progressive Gradient Flow for Robust N:M Sparsity Training in Transformers
  129. Non-Parametric Estimation of Multi-dimensional Marked Hawkes Processes
  130. Graph Cuts with Arbitrary Size Constraints Through Optimal Transport
  131. InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior
  132. Theoretical and Empirical Analysis of Adaptive Entry Point Selection for Graph-based Approximate Nearest Neighbor Search
  133. High-dimensional multidisciplinary design optimization for aircraft eco-design / Optimisation multi-disciplinaire en grande dimension pour l''eco-conception avion en avant-projet
  134. Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Networks
  135. From explained variance of correlated components to PCA without orthogonality constraints
  136. Stochastic Gradient Descent for Operator Learning in Hilbert Spaces: Convergence Rates and Minimax Lower Bounds
  137. Stein Boltzmann Sampling: A Variational Approach for Global Optimization
  138. The Influence of Autofocus Lenses in the Camera Calibration Process
  139. FaithLM: Towards Faithful Explanations for Large Language Models
  140. Source Identification in Abstractive Summarization
  141. Group Distributionally Robust Dataset Distillation with Risk Minimization
  142. Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study
  143. G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection
  144. V2VSSC: A 3D Semantic Scene Completion Benchmark for Perception with Vehicle to Vehicle Communication
  145. A Perspective on Individualized Treatment Effects Estimation from Time-series Health Data
  146. Redesigning Traffic Signs to Mitigate Machine-Learning Patch Attacks
  147. An Over Complete Deep Learning Method for Inverse Problems
  148. OV-NeRF: Open-vocabulary Neural Radiance Fields with Vision and Language Foundation Models for 3D Semantic Understanding
  149. Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference
  150. Block Sparse Bayesian Learning: A Diversified Scheme
  151. LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
  152. Domain Bridge: Generative model-based domain forensic for black-box models
  153. TransLLaMa: LLM-based Simultaneous Translation System
  154. GSN: Generalisable Segmentation in Neural Radiance Field
  155. SPARQL Generation: an analysis on fine-tuning OpenLLaMA for Question Answering over a Life Science Knowledge Graph
  156. MEMORYLLM: Towards Self-Updatable Large Language Models
  157. Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective
  158. CataractBot: An LLM-Powered Expert-in-the-Loop Chatbot for Cataract Patients
  159. Multi-Scale Semantic Segmentation with Modified MBConv Blocks
  160. Faithfulness vs. Plausibility: On the (Un)Reliability of Explanations from Large Language Models
  161. Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces
  162. Improving Cross-Domain Low-Resource Text Generation through LLM Post-Editing: A Programmer-Interpreter Approach
  163. Alirector: Alignment-Enhanced Chinese Grammatical Error Corrector
  164. Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment
  165. CMSA algorithm for solving the prioritized pairwise test data generation problem in software product lines
  166. Towards Improved Imbalance Robustness in Continual Multi-Label Learning with Dual Output Spiking Architecture (DOSA)
  167. UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset
  168. Sparse Anatomical Prompt Semi-Supervised Learning with Masked Image Modeling for CBCT Tooth Segmentation
  169. Troublemaker Learning for Low-Light Image Enhancement
  170. A Psychological Study: Importance of Contrast and Luminance in Color to Grayscale Mapping
  171. Dimensionality reduction can be used as a surrogate model for high-dimensional forward uncertainty quantification
  172. A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents
  173. Collective Counterfactual Explanations: Balancing Individual Goals and Collective Dynamics
  174. Progressive Conservative Adaptation for Evolving Target Domains
  175. Triplet-constraint Transformer with Multi-scale Refinement for Dose Prediction in Radiotherapy
  176. Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention
  177. DMAT: A Dynamic Mask-Aware Transformer for Human De-occlusion
  178. An Artificial Intelligence (AI) workflow for catalyst design and optimization
  179. BirdNeRF: Fast Neural Reconstruction of Large-Scale Scenes From Aerial Imagery
  180. Curvature-Informed SGD via General Purpose Lie-Group Preconditioners
  181. Riemann-Lebesgue Forest for Regression
  182. Share What You Already Know: Cross-Language-Script Transfer and Alignment for Sentiment Detection in Code-Mixed Data
  183. BRI3L: A Brightness Illusion Image Dataset for Identification and Localization of Regions of Illusory Perception
  184. Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers
  185. Tactile-based Object Retrieval From Granular Media
  186. RA-Rec: An Efficient ID Representation Alignment Framework for LLM-based Recommendation
  187. SumRec: A Framework for Recommendation using Open-Domain Dialogue
  188. On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis
  189. BioDrone: A Bionic Drone-based Single Object Tracking Benchmark for Robust Vision
  190. Generalized Sobolev Transport for Probability Measures on a Graph
  191. Online Cascade Learning for Efficient Inference over Streams
  192. A Review on Digital Pixel Sensors
  193. Developments in Sheaf-Theoretic Models of Natural Language Ambiguities
  194. Pathspace Kalman Filters with Dynamic Process Uncertainty for Analyzing Time-course Data
  195. The Fine-Grained Complexity of Gradient Computation for Training Large Language Models
  196. Amortized Planning with Large-Scale Transformers: A Case Study on Chess
  197. ColorSwap: A Color and Word Order Dataset for Multimodal Evaluation
  198. De-amplifying Bias from Differential Privacy in Language Model Fine-tuning
  199. Incentivized Truthful Communication for Federated Bandits
  200. BEBLID: Boosted efficient binary local image descriptor
  201. SAMCIRT: A Simultaneous Reconstruction and Affine Motion Compensation Technique for Four Dimensional Computed Tomography (4DCT)