mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 2 Oct 2023

303 papers

  1. Toward effective protection against diffusion based mimicry through score distillationDiffusion models → Robustness, privacy and adversarial aspects
  2. Transcending Domains through Text-to-Image Diffusion: A Source-Free Approach to Domain AdaptationDiffusion models → Diffusion foundations and sampling
  3. Score dynamics: scaling molecular dynamics with picoseconds timestep via conditional diffusion modelDiffusion models → Flow matching, time series and science
  4. SYRAC: Synthesize, Rank, and CountDiffusion models → Image generation, text-to-image and editing
  5. Fool Your (Vision and) Language Model With Embarrassingly Simple PermutationsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  6. Imitation Learning from Observation through Optimal TransportOffline RL and imitation learning from data → Imitation learning methods
  7. Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent AdaptivityOffline RL and imitation learning from data → Offline RL algorithms
  8. On the Safety of Open-Sourced Large Language Models: Does Alignment Really Prevent Them From Being Misused?LLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  9. Making Retrieval-Augmented Language Models Robust to Irrelevant ContextRetrieval-augmented generation → Generation and context integration
  10. SmartPlay: A Benchmark for LLMs as Intelligent AgentsLLM agents and tool use → Reinforcement learning for LLM agents
  11. Direct Inversion: Boosting Diffusion-based Editing with 3 Lines of CodeDiffusion models → Image generation, text-to-image and editing
  12. DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language ModelMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
  13. CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image GenerationDiffusion models → Image generation, text-to-image and editing
  14. HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human GenerationDiffusion models → 3D, point cloud and scene generation
  15. Representation Engineering: A Top-Down Approach to AI TransparencyMechanistic interpretability → Knowledge and representations inside LLMs
  16. Sequential Data Generation with Groupwise Diffusion ProcessDiffusion models → Diffusion foundations and sampling
  17. DST-Det: Simple Dynamic Self-Training for Open-Vocabulary Object DetectionSynthetic data and self-improvement for LLMs → Self-improving MLLMs and synthetic data
  18. DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform GenerationDiffusion models → Audio, speech and music
  19. Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  20. UltraFeedback: Boosting Language Models with Scaled AI FeedbackLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  21. GenSim: Generating Robotic Simulation Tasks via Large Language ModelsWorld models → Embodied and robot world models
  22. Scaling Up Music Information Retrieval Training with Semi-Supervised LearningKnowledge distillation → Speech and audio distillation
  23. RA-DIT: Retrieval-Augmented Dual Instruction TuningRetrieval-augmented generation → Generation and context integration
  24. Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing PolicyMixture-of-experts → Expert routing strategies
  25. ChoiceMates: Supporting Unfamiliar Online Decision-Making with Multi-Agent Conversational InteractionsLLM agents and tool use → General LLM agent frameworks and benchmarks
  26. BTR: Binary Token Representations for Efficient Retrieval Augmented Language ModelsRetrieval-augmented generation → Generation and context integration
  27. Avalon's Game of Thoughts: Battle Against Deception through Recursive ContemplationLLM reasoning → Reasoning for agents, planning and code
  28. Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
  29. Mirror Diffusion Models for Constrained and Watermarked GenerationDiffusion models → Diffusion foundations and sampling +1
  30. CommIN: Semantic Image Communications as an Inverse Problem with INN-Guided Diffusion ModelsDiffusion models → Diffusion for compression and wireless
  31. Synthetic Data Generation in Low-Resource Settings via Fine-Tuning of Large Language ModelsSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  32. Prompt-tuning latent diffusion models for inverse problemsDiffusion models → Inverse problems and image restoration
  33. Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion ModelsDiffusion models → Video generation
  34. GraphText: Graph Reasoning in Text SpaceLLM reasoning → Knowledge- and tool-augmented reasoning
  35. Towards human-like spoken dialogue generation between AI agents from written dialogueLLM agents and tool use → General LLM agent frameworks and benchmarks
  36. Back to the Future: Towards Explainable Temporal Reasoning with Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
  37. KGEx: Explaining Knowledge Graph Embeddings via Subgraph Sampling and Knowledge DistillationKnowledge distillation → Graph neural network distillation
  38. Reasoning on Graphs: Faithful and Interpretable Large Language Model ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
  39. Tool-Augmented Reward ModelingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  40. Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing ModalityKnowledge distillation → Multimodal distillation
  41. Controlling Vision-Language Models for Multi-Task Image RestorationMultimodal LLMs / vision-language models → Image editing and quality assessment
  42. Towards Fixing Clever-Hans Predictors with Counterfactual Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  43. ARN: Analogical Reasoning on NarrativesLLM reasoning → Reasoning benchmarks and evaluation
  44. Distilling Influences to Mitigate Prediction Churn in Graph Neural NetworksKnowledge distillation → Graph neural network distillation
  45. All Languages Matter: On the Multilingual Safety of Large Language ModelsLLM safety and security → Safety alignment, refusal and guardrails
  46. DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  47. uSee: Unified Speech Enhancement and Editing with Conditional Diffusion ModelsDiffusion models → Audio, speech and music
  48. Enabling Language Models to Implicitly Learn Self-ImprovementLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  49. No Offense Taken: Eliciting Offensiveness from Language ModelsLLM safety and security → Prompt injection and agent security
  50. Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  51. TRAM: Benchmarking Temporal Reasoning for Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
  52. Necessary and Sufficient Watermark for Large Language ModelsLLM safety and security → Watermarking generated content and models
  53. Encoder-Decoder Based Long Short-Term Memory (LSTM) Model for Video Captioning
  54. Enhancing ML-Based DoS Attack Detection Through Combinatorial Fusion Analysis
  55. ECNR: Efficient Compressive Neural Representation of Time-Varying Volumetric Datasets
  56. Nature Inspired Evolutionary Swarm Optimizers for Biomedical Image and Signal Processing -- A Systematic Review
  57. Intelligent Knee Sleeves: A Real-time Multimodal Dataset for 3D Lower Body Motion Estimation Using Smart Textile
  58. An improved two-threshold quantum segmentation algorithm for NEQR image
  59. A quantum segmentation algorithm based on local adaptive threshold for NEQR image
  60. Quantum Image Segmentation Based on Grayscale Morphology
  61. SyMPox: An Automated Monkeypox Detection System Based on Symptoms Using XGBoost
  62. LoFT: Local Proxy Fine-tuning For Improving Transferability Of Adversarial Attacks Against Large Language Model
  63. What's the Magic Word? A Control Theory of LLM Prompting
  64. Human Mobility Question Answering (Vision Paper)
  65. The Optimal use of Segmentation for Sampling Calorimeters
  66. Deep Learning in Computational Biology: Advancements, Challenges, and Future Outlook
  67. Batch-less stochastic gradient descent for compressive learning of deep regularization for image denoising
  68. Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers
  69. A Comparison of Mesh-Free Differentiable Programming and Data-Driven Strategies for Optimal Control under PDE Constraints
  70. PASTA: PArallel Spatio-Temporal Attention with spatial auto-correlation gating for fine-grained crowd flow prediction
  71. SWMLP: Shared Weight Multilayer Perceptron for Car Trajectory Speed Prediction using Road Topographical Features
  72. End-to-End Continuous Speech Emotion Recognition in Real-life Customer Service Call Center Conversations
  73. Expert enhanced dynamic time warping based anomaly detection
  74. Adaptive Online Non-stochastic Control
  75. L2MAC: Large Language Model Automatic Computer for Extensive Code Generation
  76. Transformers are efficient hierarchical chemical graph learners
  77. Robustifying State-space Models for Long Sequences via Approximate Diagonalization
  78. DANI: Fast Diffusion Aware Network Inference with Preserving Topological Structure Property
  79. Closing the Curious Case of Neural Text Degeneration
  80. Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models
  81. Forecasting Tropical Cyclones with Cascaded Diffusion Models
  82. One model to rule them all ? Towards End-to-End Joint Speaker Diarization and Speech Recognition
  83. From Stability to Chaos: Analyzing Gradient Descent Dynamics in Quadratic Regression
  84. A Framework for Interpretability in Machine Learning for Medical Imaging
  85. Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations
  86. Commutative Width and Depth Scaling in Deep Neural Networks
  87. Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation
  88. Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features
  89. Locality-Aware Graph-Rewiring in GNNs
  90. STARS: Zero-shot Sim-to-Real Transfer for Segmentation of Shipwrecks in Sonar Imagery
  91. Artemis: HE-Aware Training for Efficient Privacy-Preserving Machine Learning
  92. Task-guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy
  93. Home Electricity Data Generator (HEDGE): An open-access tool for the generation of electric vehicle, residential demand, and PV generation profiles
  94. It's all about you: Personalized in-Vehicle Gesture Recognition with a Time-of-Flight Camera
  95. PolySketchFormer: Fast Transformers via Sketching Polynomial Kernels
  96. CoDBench: A Critical Evaluation of Data-driven Models for Continuous Dynamical Systems
  97. On Training Derivative-Constrained Neural Networks
  98. Equivariant Adaptation of Large Pretrained Models
  99. "I see models being a whole other thing": An Empirical Study of Pre-Trained Model Naming Conventions and A Tool for Enhancing Naming Consistency
  100. You Only Look at Once for Real-time and Generic Multi-Task
All 303
  1. Adaptive Visual Scene Understanding: Incremental Scene Graph Generation
  2. Deep Insights into Noisy Pseudo Labeling on Graph Data
  3. VAL: Interactive Task Learning with GPT Dialog Parsing
  4. Operator Learning Meets Numerical Analysis: Improving Neural Networks through Iterative Methods
  5. Dynamic Spatio-Temporal Summarization using Information Based Fusion
  6. Intractability of Learning the Discrete Logarithm with Gradient-Based Methods
  7. Adversarial Contextual Bandits Go Kernelized
  8. Solving the Quadratic Assignment Problem using Deep Reinforcement Learning
  9. A Review of Digital Learning Environments for Teaching Natural Language Processing in K-12 Education
  10. CAT-LM: Training Language Models on Aligned Code And Tests
  11. Pool-Based Active Learning with Proper Topological Regions
  12. ImagenHub: Standardizing the evaluation of conditional image generation models
  13. Memory-efficient particle filter recurrent neural network for object localization
  14. Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management
  15. An Investigation of Representation and Allocation Harms in Contrastive Learning
  16. Active Learning on Neural Networks through Interactive Generation of Digit Patterns and Visual Representation
  17. Contraction Properties of the Global Workspace Primitive
  18. Iterative Option Discovery for Planning, by Planning
  19. Defending Against Authorship Identification Attacks
  20. Causality-informed Rapid Post-hurricane Building Damage Detection in Large Scale from InSAR Imagery
  21. Harnessing the Power of Choices in Decision Tree Learning
  22. On the near-optimality of betting confidence sets for bounded means
  23. RF-ULM: Ultrasound Localization Microscopy Learned from Radio-Frequency Wavefronts
  24. Fusing Models with Complementary Expertise
  25. Adversarial Client Detection via Non-parametric Subspace Monitoring in the Internet of Federated Things
  26. Algebras of actions in an agent's representations of the world
  27. Progressive DeepSSM: Training Methodology for Image-To-Shape Deep Models
  28. Nowcasting day-ahead marginal emissions using multi-headed CNNs and deep generative models
  29. Fetal-BET: Brain Extraction Tool for Fetal MRI
  30. Bridging the Gap between Structural and Semantic Similarity in Diverse Planning
  31. The Benefit of Noise-Injection for Dynamic Gray-Box Model Creation
  32. Tensor Ring Optimized Quantum-Enhanced Tensor Neural Networks
  33. CODA: Temporal Domain Generalization via Concept Drift Simulator
  34. Towards Automatic Design of Factorio Blueprints
  35. Towards a Model of Puzznic
  36. A Good Snowman is Hard to Plan
  37. Challenges in Modelling and Solving Plotting with PDDL
  38. LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples
  39. Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games
  40. FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models
  41. NarrativePlay: Interactive Narrative Understanding
  42. Shaping of Magnetic Field Coils in Fusion Reactors using Bayesian Optimisation
  43. Fooling the Textual Fooler via Randomizing Latent Representations
  44. Elastic Interaction Energy-Informed Real-Time Traffic Scene Perception
  45. REMEDI: REinforcement learning-driven adaptive MEtabolism modeling of primary sclerosing cholangitis DIsease progression
  46. GPT-Driver: Learning to Drive with GPT
  47. A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network
  48. LEAP: Liberate Sparse-view 3D Modeling from Camera Poses
  49. Generalized Animal Imitator: Agile Locomotion with Versatile Motion Prior
  50. H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation
  51. CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction
  52. Pixel-Aligned Recurrent Queries for Multi-View 3D Object Detection
  53. A Learning Based Scheme for Fair Timeliness in Sparse Gossip Networks
  54. It's MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk
  55. Who is ChatGPT? Benchmarking LLMs' Psychological Portrayal Using PsychoBench
  56. Compressing LLMs: The Truth is Rarely Pure and Never Simple
  57. EXTRACTER: Efficient Texture Matching with Attention and Gradient Enhancing for Large Scale Image Super Resolution
  58. On Grid Graph Reachability and Puzzle Games
  59. Towards Distribution-Agnostic Generalized Category Discovery
  60. Corrected generalized cross-validation for finite ensembles of penalized estimators
  61. Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning
  62. Elephant Neural Networks: Born to Be a Continual Learner
  63. Robot Fleet Learning via Policy Merging
  64. NEUCORE: Neural Concept Reasoning for Composed Image Retrieval
  65. Less is More: Toward Zero-Shot Local Scene Graph Generation via Foundation Models
  66. Streaming Motion Forecasting for Autonomous Driving
  67. A peridynamic-informed deep learning model for brittle damage prediction
  68. Improving Dialogue Management: Quality Datasets vs Models
  69. Towards reporting bias in visual-language datasets: bimodal augmentation by decoupling object-attribute association
  70. TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series
  71. Optimal Estimator for Linear Regression with Shuffled Labels
  72. ZeroI2V: Zero-Cost Adaptation of Pre-trained Transformers from Image to Video
  73. Color and Texture Dual Pipeline Lightweight Style Transfer
  74. On the Generalization of Training-based ChatGPT Detection Methods
  75. Coupling public and private gradient provably helps optimization
  76. Generating Explanations in Medical Question-Answering by Expectation Maximization Inference over Evidence
  77. Co-audit: tools to help humans double-check AI-generated content
  78. Efficient Remote Sensing Segmentation With Generative Adversarial Transformer
  79. 3DHR-Co: A Collaborative Test-time Refinement Framework for In-the-Wild 3D Human-Body Reconstruction Task
  80. Offline Tracking with Object Permanence
  81. Automated regime classification in multidimensional time series data using sliced Wasserstein k-means clustering
  82. Grasping AI: experiential exercises for designers
  83. A Unified View on Neural Message Passing with Opinion Dynamics for Social Networks
  84. LEEC: A Legal Element Extraction Dataset with an Extensive Domain-Specific Label System
  85. Cooperative Graph Neural Networks
  86. Non-Exchangeable Conformal Risk Control
  87. SPELL: Semantic Prompt Evolution based on a LLM
  88. SINF: Semantic Neural Network Inference with Semantic Subgraphs
  89. MobileNVC: Real-time 1080p Neural Video Compression on a Mobile Device
  90. Pre-training Contextual Location Embeddings in Personal Trajectories via Efficient Hierarchical Location Representations
  91. Generating 3D Brain Tumor Regions in MRI using Vector-Quantization Generative Adversarial Networks
  92. Improving Emotional Expression and Cohesion in Image-Based Playlist Description and Music Topics: A Continuous Parameterization Approach
  93. Self-supervised Learning for Anomaly Detection in Computational Workflows
  94. Modality-aware Transformer for Financial Time series Forecasting
  95. Reconstructing 3D Human Pose from RGB-D Data with Occlusions
  96. Reconstructing Atmospheric Parameters of Exoplanets Using Deep Learning
  97. A path-norm toolkit for modern networks: consequences, promises and challenges
  98. Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation
  99. Making LLaMA SEE and Draw with SEED Tokenizer
  100. ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale
  101. From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
  102. Towards Robust Cardiac Segmentation using Graph Convolutional Networks
  103. Self-distilled Masked Attention guided masked image modeling with noise Regularized Teacher (SMART) for medical image analysis
  104. Label Supervised LLaMA Finetuning
  105. Learn to Follow: Decentralized Lifelong Multi-agent Pathfinding via Planning and Learning
  106. appjsonify: An Academic Paper PDF-to-JSON Conversion Toolkit
  107. Unified Uncertainty Calibration
  108. SWoTTeD: An Extension of Tensor Decomposition to Temporal Phenotyping
  109. Federated K-means Clustering
  110. If there is no underfitting, there is no Cold Posterior Effect
  111. Quantifying the Plausibility of Context Reliance in Neural Machine Translation
  112. Graph Isomorphic Networks for Assessing Reliability of the Medium-Voltage Grid
  113. Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing
  114. Cross-adversarial local distribution regularization for semi-supervised medical image segmentation
  115. Light Schr"odinger Bridge
  116. Towards guarantees for parameter isolation in continual learning
  117. Segment Any Building
  118. DINE: Dimensional Interpretability of Node Embeddings
  119. Iterative Semi-Supervised Learning for Abdominal Organs and Tumor Segmentation
  120. RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network
  121. Modularity in Deep Learning: A Survey
  122. Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives
  123. Cryptocurrency Portfolio Optimization by Neural Networks
  124. Parallel-in-Time Probabilistic Numerical ODE Solvers
  125. The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks
  126. [Re] CLRNet: Cross Layer Refinement Network for Lane Detection
  127. Neural Processing of Tri-Plane Hybrid Neural Fields
  128. Minibatch and Local SGD: Algorithmic Stability and Linear Speedup in Generalization
  129. Target-Aware Contextual Political Bias Detection in News
  130. Automated Evaluation of Classroom Instructional Support with LLMs and BoWs: Connecting Global Predictions to Specific Feedback
  131. Strength in Diversity: Multi-Branch Representation Learning for Vehicle Re-Identification
  132. Disentangling Voice and Content with Self-Supervision for Speaker Recognition
  133. Predicting emergence of crystals from amorphous matter with deep learning
  134. R-divergence for Estimating Model-oriented Distribution Discrepancy
  135. Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
  136. HyMNet: a Multimodal Deep Learning System for Hypertension Classification using Fundus Photographs and Cardiometabolic Risk Factors
  137. NP2L: Negative Pseudo Partial Labels Extraction for Graph Neural Networks
  138. LoCUS: Learning Multiscale 3D-consistent Features from Posed Images
  139. Leveraging Cutting Edge Deep Learning Based Image Matching for Reconstructing a Large Scene from Sparse Images
  140. Non-negative isomorphic neural networks for photonic neuromorphic accelerators
  141. Linear attention is (maybe) all you need (to understand transformer optimization)
  142. Unsupervised Roofline Extraction from True Orthophotos for LoD2 Building Model Reconstruction
  143. Combining Deep Learning and GARCH Models for Financial Volatility and Risk Forecasting
  144. Improved Crop and Weed Detection with Diverse Data Ensemble Learning
  145. Language Model Decoding as Direct Metrics Optimization
  146. Segmenting the motion components of a video: A long-term unsupervised model
  147. SeisT: A foundational deep learning model for earthquake monitoring tasks
  148. A Novel Approach for Machine Learning-based Load Balancing in High-speed Train System using Nested Cross Validation
  149. The Fisher-Rao geometry of CES distributions
  150. A Robust Machine Learning Approach for Path Loss Prediction in 5G Networks with Nested Cross Validation
  151. Incorporating Supervised Domain Generalization into Data Augmentation
  152. Subtractor-Based CNN Inference Accelerator
  153. A New Real-World Video Dataset for the Comparison of Defogging Algorithms
  154. EX-Graph: A Pioneering Dataset Bridging Ethereum and X
  155. Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning
  156. Conflict-Aware Active Automata Learning
  157. A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression
  158. Multi-task Learning with 3D-Aware Regularization
  159. Using Reinforcement Learning to Optimize Responses in Care Processes: A Case Study on Aggression Incidents
  160. EALM: Introducing Multidimensional Ethical Alignment in Conversational Information Retrieval
  161. Variance-Aware Regret Bounds for Stochastic Contextual Dueling Bandits
  162. MiCRO: Near-Zero Cost Gradient Sparsification for Scaling and Accelerating Distributed DNN Training
  163. Node Perturbation Can Effectively Train Multi-Layer Neural Networks
  164. All by Myself: Learning Individualized Competitive Behaviour with a Contrastive Reinforcement Learning optimization
  165. Multi-Agent Bayesian Optimization with Coupled Black-Box and Affine Constraints
  166. A Novel IoT Trust Model Leveraging Fully Distributed Behavioral Fingerprinting and Secure Delegation
  167. LS-VOS: Identifying Outliers in 3D Object Detections Using Latent Space Virtual Outlier Synthesis
  168. Autonomous Navigation of Micro Air Vehicles in Warehouses Using Vision-based Line Following
  169. Towards Robust 3D Object Detection In Rainy Conditions
  170. Semi-Blind Image Deblurring Based on Framelet Prior
  171. Improved Variational Bayesian Phylogenetic Inference using Mixtures
  172. Data Efficient Training of a U-Net Based Architecture for Structured Documents Localization
  173. Trained Latent Space Navigation to Prevent Lack of Photorealism in Generated Images on Style-based Models
  174. Resolving Knowledge Conflicts in Large Language Models
  175. Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP
  176. Integration of Graph Neural Network and Neural-ODEs for Tumor Dynamic Prediction
  177. Lightweight Regression Model with Prediction Interval Estimation for Computer Vision-based Winter Road Surface Condition Monitoring
  178. How Close are Other Computer Vision Tasks to Deepfake Detection?
  179. Every Dataset Counts: Scaling up Monocular 3D Object Detection with Joint Datasets Training
  180. BAAF: A benchmark attention adaptive framework for medical ultrasound image segmentation tasks
  181. Harnessing the Power of Multi-Lingual Datasets for Pre-training: Towards Enhancing Text Spotting Performance
  182. The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practice
  183. A Decentralized Cooperative Navigation Approach for Visual Homing Networks
  184. PACIT: Unlocking the Power of Examples for Better In-Context Instruction Tuning
  185. Organized Event Participant Prediction Enhanced by Social Media Retweeting Data
  186. JPEG Information Regularized Deep Image Prior for Denoising
  187. Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss
  188. GRID: A Platform for General Robot Intelligence Development
  189. PC-NeRF: Parent-Child Neural Radiance Fields under Partial Sensor Data Loss in Autonomous Driving Environments
  190. Deep Neural Networks Tend To Extrapolate Predictably
  191. COMPOSER: Scalable and Robust Modular Policies for Snake Robots
  192. RT-GAN: Recurrent Temporal GAN for Adding Lightweight Temporal Consistency to Frame-Based Domain Translation Approaches
  193. Do Compressed LLMs Forget Knowledge? An Experimental Study with Practical Implications
  194. Syllable-level lyrics generation from melody exploiting character-level language model
  195. Can Pre-trained Networks Detect Familiar Out-of-Distribution Data?
  196. Application of frozen large-scale models to multimodal task-oriented dialogue
  197. Drug Discovery with Dynamic Goal-aware Fragments
  198. Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models
  199. Subsurface Characterization using Ensemble-based Approaches with Deep Generative Models
  200. Natural Language Models for Data Visualization Utilizing nvBench Dataset
  201. Action Recognition Utilizing YGAR Dataset
  202. Online Sensitivity Optimization in Differentially Private Learning
  203. Large Scale Masked Autoencoding for Reducing Label Requirements on SAR Data