mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 25 May 2023

393 papers

  1. Undetectable Watermarks for Language ModelsLLM safety and security → Watermarking generated content and models
  2. DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  3. Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and MemoryLLM agents and tool use → Reinforcement learning for LLM agents
  4. IMBERT: Making BERT Immune to Insertion-based Backdoor AttacksLLM safety and security → Backdoor and data poisoning attacks
  5. Coherent Soft Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
  6. Score-based Diffusion Models for Bayesian Image ReconstructionDiffusion models → Inverse problems and image restoration
  7. ZeroAvatar: Zero-shot 3D Avatar Generation from a Single ImageDiffusion models → 3D, point cloud and scene generation
  8. Are Diffusion Models Vision-And-Language Reasoners?LLM reasoning → Diffusion reasoning and test-time scaling +1
  9. DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
  10. INTapt: Information-Theoretic Adversarial Prompt Tuning for Enhanced Non-Native Speech RecognitionLLM safety and security → Vision-language and text-to-image safety
  11. Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem ProvingDiffusion models → Discrete and text diffusion
  12. Modeling Task Relationships in Multi-variate Soft Sensor with Balanced Mixture-of-ExpertsMixture-of-experts → MoE theory and gating functions
  13. Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  14. Parallel Sampling of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  15. Imitating Task and Motion Planning with Visuomotor TransformersOffline RL and imitation learning from data → Robot manipulation imitation learning
  16. Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource LanguagesKnowledge distillation → Knowledge distillation for LLMs
  17. Look Ma, No Hands! Agent-Environment Factorization of Egocentric VideosDiffusion models → Diffusion and flow policies for robotics
  18. Voyager: An Open-Ended Embodied Agent with Large Language ModelsLLM agents and tool use → Reinforcement learning for LLM agents
  19. CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph DiffusionDiffusion models → 3D, point cloud and scene generation
  20. UDPM: Upsampling Diffusion Probabilistic ModelsDiffusion models → Diffusion foundations and sampling
  21. Trans-Dimensional Generative Modeling via Jump Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  22. Surface-Based Retrieval Reduces Perplexity of Retrieval-Augmented Language ModelsRetrieval-augmented generation → Generation and context integration
  23. ProSpect: Prompt Spectrum for Attribute-Aware Personalization of Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  24. Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  25. Beyond Reward: Offline Preference-guided Policy OptimizationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  26. ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score DistillationDiffusion models → 3D, point cloud and scene generation
  27. Passive learning of active causal strategies in agents and language modelsLLM agents and tool use → Medical and scientific domain agents
  28. Unifying GANs and Score-Based Diffusion as Generative Particle ModelsDiffusion models → Diffusion foundations and sampling
  29. UFO: Unified Fact Obtaining for Commonsense Question AnsweringLLM reasoning → Reasoning benchmarks and evaluation
  30. GenerateCT: Text-Conditional Generation of 3D Chest CT VolumesDiffusion models → Medical imaging and segmentation
  31. Triplet Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  32. Knowledge Distillation for Neural Transducer-based Target-Speaker ASR: Exploiting Parallel Mixture/Single-Talker Speech DataKnowledge distillation → Speech and audio distillation
  33. DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D ClassificationDiffusion models → 3D, point cloud and scene generation
  34. Anomaly Detection with Conditioned Denoising Diffusion ModelsDiffusion models → Flow matching, time series and science
  35. Improved Algorithms for Allen's Interval Algebra by Dynamic Programming with Sublinear PartitioningLLM reasoning → Mathematical reasoning
  36. BUCA: A Binary Classification Approach to Unsupervised Commonsense Question AnsweringLLM reasoning → Reasoning benchmarks and evaluation
  37. Latent Diffusion Model Based Foley Sound Generation System For DCASE Challenge 2023 Task 7Diffusion models → Audio, speech and music
  38. Collective Knowledge Graph Completion with Mutual Knowledge DistillationKnowledge distillation → Graph neural network distillation
  39. Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image DenoisingDiffusion models → Medical imaging and segmentation
  40. DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice ConversionDiffusion models → Audio, speech and music
  41. BK-SDM: A Lightweight, Fast, and Cheap Version of Stable DiffusionDiffusion models → Diffusion foundations and sampling
  42. VanillaKD: Revisit the Power of Vanilla Knowledge Distillation from Small Scale to Large ScaleKnowledge distillation → General knowledge distillation methods
  43. Custom-Edit: Text-Guided Image Editing with Customized Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  44. On the Planning Abilities of Large Language Models : A Critical InvestigationLLM reasoning → Reasoning for agents, planning and code
  45. DP-LDMs: Differentially Private Latent Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  46. On the Impact of Knowledge Distillation for Model InterpretabilityKnowledge distillation → General knowledge distillation methods
  47. The False Promise of Imitating Proprietary LLMsSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  48. Knowledge Diffusion for DistillationDiffusion models → Diffusion foundations and sampling
  49. Score-Based Multimodal AutoencoderDiffusion models → Diffusion foundations and sampling
  50. PROTO: Iterative Policy Regularized Offline-to-Online Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  51. Mixture-of-Expert Conformer for Streaming Multilingual ASRMixture-of-experts → Multimodal MoE models
  52. Zero-shot Generation of Training Data with Denoising Diffusion Probabilistic Model for Handwritten Chinese Character RecognitionDiffusion models → Image generation, text-to-image and editing
  53. Dendritic Integration Based Quadratic Neural Networks Outperform Traditional Aritificial Ones
  54. Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning
  55. Coding for the Gaussian Channel in the Finite Blocklength Regime Using a CNN-Autoencoder
  56. Symbolic Regression via Control Variable Genetic Programming
  57. Distributed Trust Through the Lens of Software Architecture
  58. Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial Forensics
  59. Adversarial Attacks on Leakage Detectors in Water Distribution Networks
  60. Blending adversarial training and representation-conditional purification via aggregation improves adversarial robustness
  61. clustering an african hairstyle dataset using pca and k-means
  62. FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling
  63. Anomaly Detection in Satellite Videos using Diffusion Models
  64. Abnormal Trading Detection in the NFT Market
  65. Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning
  66. Transformative Effects of ChatGPT on Modern Education: Emerging Era of AI Chatbots
  67. Nonparametric Identification and Estimation of Earnings Dynamics using a Hidden Markov Model: Evidence from the PSID
  68. Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning
  69. Waiting, Banning, and Embracing: An Empirical Analysis of Adapting Policies for Generative AI in Higher Education
  70. Coarse-Tuning Models of Code with Reinforcement Learning Feedback
  71. Mapping ChatGPT in Mainstream Media to Unravel Jobs and Diversity Challenges: Early Quantitative Insights through Sentiment Analysis and Word Frequency Analysis
  72. A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutions
  73. You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images
  74. PQA: Exploring the Potential of Product Quantization in DNN Hardware Acceleration
  75. Online Dynamic Acknowledgement with Learned Predictions
  76. Inverse Protein Folding Using Deep Bayesian Optimization
  77. Drug Repurposing Targeting COVID-19 3CL Protease using Molecular Docking and Machine Learning Regression Approach
  78. Automated Search-Space Generation Neural Architecture Search
  79. Type Prediction With Program Decomposition and Fill-in-the-Type Training
  80. Revisiting Structured Variational Autoencoders
  81. Privacy-aware Gaussian Process Regression
  82. A Score-Based Model for Learning Neural Wavefunctions
  83. Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression
  84. Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression
  85. Counterfactual Explainer Framework for Deep Reinforcement Learning Models Using Policy Distillation
  86. Bi-fidelity Variational Auto-encoder for Uncertainty Quantification
  87. When can Regression-Adjusted Control Variates Help? Rare Events, Sobolev Embedding and Minimax Optimality
  88. Extending Explainable Boosting Machines to Scientific Image Data
  89. Label Agnostic Pre-training for Zero-shot Text Classification
  90. The Dangers of trusting Stochastic Parrots: Faithfulness and Trust in Open-domain Conversational Question Answering
  91. Sliding Window Sum Algorithms for Deep Neural Networks
  92. RoLA: A Real-Time Online Lightweight Anomaly Detection System for Multivariate Time Series
  93. Most Neural Networks Are Almost Learnable
  94. Reward-Machine-Guided, Self-Paced Reinforcement Learning
  95. On the Tool Manipulation Capability of Open-source Large Language Models
  96. Strategic Classification under Unknown Personalized Manipulation
  97. AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection
  98. Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability
  99. Image Classification of Stroke Blood Clot Origin using Deep Convolutional Neural Networks and Visual Transformers
  100. SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise
All 393
  1. Prototype-Based Interpretability for Legal Citation Prediction
  2. EgoHumans: An Egocentric 3D Multi-Human Benchmark
  3. Batch Model Consolidation: A Multi-Task Model Consolidation Framework
  4. Sample Efficient Reinforcement Learning in Mixed Systems through Augmented Samples and Its Applications to Queueing Networks
  5. SimHaze: game engine simulated data for real-world dehazing
  6. Alert of the Second Decision-maker: An Introduction to Human-AI Conflict
  7. Initialization-Dependent Sample Complexity of Linear Predictors and Neural Networks
  8. FairDP: Certified Fairness with Differential Privacy
  9. Bias, Consistency, and Partisanship in U.S. Asylum Cases: A Machine Learning Analysis of Extraneous Factors in Immigration Court Decisions
  10. Measuring the Effect of Influential Messages on Varying Personas
  11. Bayesian Reinforcement Learning for Automatic Voltage Control under Cyber-Induced Uncertainty
  12. Pair-Variational Autoencoders (PairVAE) for Linking and Cross-Reconstruction of Characterization Data from Complementary Structural Characterization Techniques
  13. An AI-Ready Multiplex Staining Dataset for Reproducible and Accurate Characterization of Tumor Immune Microenvironment
  14. Optimized Custom Dataset for Efficient Detection of Underwater Trash
  15. Investigation of UAV Detection in Images with Complex Backgrounds and Rainy Artifacts
  16. The Representation Jensen-Shannon Divergence
  17. Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text
  18. Human-Machine Comparison for Cross-Race Face Verification: Race Bias at the Upper Limits of Performance?
  19. Representation Transfer Learning via Multiple Pre-trained models for Linear Regression
  20. KeyPosS: Plug-and-Play Facial Landmark Detection through GPS-Inspired True-Range Multilateration
  21. Neural Machine Translation for Mathematical Formulae
  22. Neural (Tangent Kernel) Collapse
  23. Not wacky vs. definitely wacky: A study of scalar adverbs in pretrained language models
  24. SketchOGD: Memory-Efficient Continual Learning
  25. NODDLE: Node2vec based deep learning model for link prediction
  26. Federated Neural Compression Under Heterogeneous Data
  27. Counterfactual Probing for the Influence of Affect and Specificity on Intergroup Bias
  28. Script Normalization for Unconventional Writing of Under-Resourced Languages in Bilingual Communities
  29. Context-aware attention layers coupled with optimal transport domain adaptation and multimodal fusion methods for recognizing dementia from spontaneous speech
  30. GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds
  31. ADLER -- An efficient Hessian-based strategy for adaptive learning rate
  32. Using neural networks to model Main Belt Asteroid albedos as a function of their proper orbital elements
  33. Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems
  34. Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformer
  35. Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning
  36. Sim-Suction: Learning a Suction Grasp Policy for Cluttered Environments Using a Synthetic Benchmark
  37. Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction
  38. Data Topology-Dependent Upper Bounds of Neural Network Widths
  39. DeepGate2: Functionality-Aware Circuit Representation Learning
  40. Metrics for quantifying isotropy in high dimensional unsupervised clustering tasks in a materials context
  41. Stecformer: Spatio-temporal Encoding Cascaded Transformer for Multivariate Long-term Time Series Forecasting
  42. A Semi-Automated Corner Case Detection and Evaluation Pipeline
  43. Neural incomplete factorization: learning preconditioners for the conjugate gradient method
  44. Role-Play with Large Language Models
  45. E2EAI: End-to-End Deep Learning Framework for Active Investing
  46. Subpopulation-Specific Synthetic EHR for Better Mortality Prediction
  47. An Experimental Investigation into the Evaluation of Explainability Methods
  48. Differentiable Clustering with Perturbed Spanning Forests
  49. EDM3: Event Detection as Multi-task Text Generation
  50. PandaGPT: One Model To Instruction-Follow Them All
  51. Betray Oneself: A Novel Audio DeepFake Detection Model via Mono-to-Stereo Conversion
  52. Eclipse: Disambiguating Illumination and Materials using Unintended Shadows
  53. Image as First-Order Norm+Linear Autoregression: Unveiling Mathematical Invariance
  54. Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation
  55. Making Vision Transformers Truly Shift-Equivariant
  56. NAP: Neural 3D Articulation Prior
  57. Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance
  58. UMat: Uncertainty-Aware Single Image High Resolution Material Capture
  59. Break-A-Scene: Extracting Multiple Concepts from a Single Image
  60. Securing Deep Generative Models with Universal Adversarial Signature
  61. Rectifying Group Irregularities in Explanations for Distribution Shift
  62. IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages
  63. Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder
  64. Fine-Grained Complexity Analysis of Multi-Agent Path Finding on 2D Grids
  65. Landmark Attention: Random-Access Infinite Context Length for Transformers
  66. Unbiased Compression Saves Communication in Distributed Optimization: When and How Much?
  67. A Guide Through the Zoo of Biased SGD
  68. HAAV: Hierarchical Aggregation of Augmented Views for Image Captioning
  69. Sharpness-Aware Minimization Leads to Low-Rank Features
  70. Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation
  71. DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method
  72. CENSUS-HWR: a large training dataset for offline handwriting recognition
  73. Non-adversarial training of Neural SDEs with signature kernel scores
  74. Incentivizing Honesty among Competitors in Collaborative Learning and Optimization
  75. UNITE: A Unified Benchmark for Text-to-SQL Evaluation
  76. Scaling Data-Constrained Language Models
  77. Unified Modeling of Multi-Talker Overlapped Speech Recognition and Diarization with a Sidecar Separator
  78. Neural Natural Language Processing for Long Texts: A Survey on Classification and Summarization
  79. Fast Online Node Labeling for Very Large Graphs
  80. Hierarchical forecasting for aggregated curves with an application to day-ahead electricity price auctions
  81. Uncovering and Categorizing Social Biases in Text-to-SQL
  82. Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning
  83. Distributed TD(0) with Almost No Communication
  84. Two-timescale Extragradient for Finding Local Minimax Points
  85. Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data Classification
  86. Interactive Segment Anything NeRF with Feature Imitation
  87. Topological gap protocol based machine learning optimization of Majorana hybrid wires
  88. Gaussian Processes with State-Dependent Noise for Stochastic Control
  89. Incomplete Multimodal Learning for Complex Brain Disorders Prediction
  90. On the Robustness of Segment Anything
  91. Cross-supervised Dual Classifiers for Semi-supervised Medical Image Segmentation
  92. Koopman Kernel Regression
  93. Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image Segmentation
  94. C-MCTS: Safe Planning with Monte Carlo Tree Search
  95. Computing Universal Plans for Partially Observable Multi-Agent Routing Using Answer Set Programming
  96. DP-SGD Without Clipping: The Lipschitz Neural Network Way
  97. Diversity-Aware Coherence Loss for Improving Neural Topic Models
  98. Optimization and Interpretability of Graph Attention Networks for Small Sparse Graph Structures in Automotive Applications
  99. Abstractive Summary Generation for the Urdu Language
  100. Explainability Techniques for Chemical Language Models
  101. UpMax: User partitioning for MaxSAT
  102. Multi-scale clustering and source separation of InSight mission seismic data
  103. Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties
  104. Dropout Drops Double Descent
  105. From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module
  106. Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration
  107. Masked and Permuted Implicit Context Learning for Scene Text Recognition
  108. Multi-lingual and Multi-cultural Figurative Language Understanding
  109. Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis
  110. Feature Collapse
  111. Training Data Extraction From Pre-trained Language Models: A Survey
  112. Revisiting Non-Autoregressive Translation at Scale
  113. Understanding the Capabilities of Large Language Models for Automated Planning
  114. Learning Safety Constraints from Demonstrations with Unknown Rewards
  115. Condensed Prototype Replay for Class Incremental Learning
  116. Domain-Adaptive Full-Face Gaze Estimation via Novel-View-Synthesis and Feature Disentanglement
  117. Introducing Explicit Gaze Constraints to Face Swapping
  118. OVO: Open-Vocabulary Occupancy
  119. Language Models Implement Simple Word2Vec-style Vector Arithmetic
  120. Energy-based Detection of Adverse Weather Effects in LiDAR Data
  121. Give Me More Details: Improving Fact-Checking with Latent Retrieval
  122. Robust Category-Level 3D Pose Estimation from Synthetic Data
  123. Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning
  124. VioLA: Unified Codec Language Models for Speech Recognition, Synthesis, and Translation
  125. Multijugate Dual Learning for Low-Resource Task-Oriented Dialogue System
  126. ChatBridge: Bridging Modalities with Large Language Model as a Language Catalyst
  127. Demystifying Oversmoothing in Attention-Based Graph Neural Networks
  128. FAVANO: Federated AVeraging with Asynchronous NOdes
  129. On Influence Functions, Classification Influence, Relative Influence, Memorization and Generalization
  130. End-to-End Simultaneous Speech Translation with Differentiable Segmentation
  131. AI Techniques in the Microservices Life-Cycle: A Systematic Mapping Study
  132. Combinatorial Bandits for Maximum Value Reward Function under Max Value-Index Feedback
  133. Guided Attention for Next Active Object @ EGO4D STA Challenge
  134. ASR and Emotional Speech: A Word-Level Investigation of the Mutual Impact of Speech and Emotion Recognition
  135. Fake News Detection and Behavioral Analysis: Case of COVID-19
  136. Reinforcement Learning under External Influence: Guarantees, Algorithms, and Sample Complexity
  137. Strategic Data Sharing between Competitors
  138. What about em? How Commercial Machine Translation Fails to Handle (Neo-)Pronouns
  139. CN-Celeb-AV: A Multi-Genre Audio-Visual Dataset for Person Recognition
  140. Exploiting Noise as a Resource for Computation and Learning in Spiking Neural Networks
  141. Ordered and Binary Speaker Embedding
  142. An varepsilon-Best-Arm Identification Algorithm for Fixed-Confidence and Beyond
  143. Implicit bias of SGD in L2-regularized linear DNNs: One-way jumps from high to low rank
  144. Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score
  145. Collaborative Blind Image Deblurring
  146. Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning
  147. NVTC: Nonlinear Vector Transform Coding
  148. NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts
  149. How many samples are needed to leverage smoothness?
  150. Online and Streaming Algorithms for Constrained k-Submodular Maximization
  151. Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation
  152. SING: A Plug-and-Play DNN Learning Technique
  153. PINNslope: seismic data interpolation and local slope estimation with physics informed neural networks
  154. Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms
  155. A graphon-signal analysis of graph neural networks
  156. Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation
  157. Monitoring Algorithmic Fairness
  158. ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMs
  159. Quantifying the Intrinsic Usefulness of Attributional Explanations for Graph Neural Networks with Artificial Simulatability Studies
  160. Online learning of long-range dependencies
  161. Learning to Act through Evolution of Neural Diversity in Random Neural Networks
  162. How to Turn Your Knowledge Graph Embeddings into Generative Models
  163. Comparison of Pedestrian Prediction Models from Trajectory and Appearance Data for Autonomous Driving
  164. Mask Attack Detection Using Vascular-weighted Motion-robust rPPG Signals
  165. First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities
  166. Visually grounded few-shot word acquisition with fewer shots
  167. Learning DAGs from Data with Few Root Causes
  168. A Diagnosis Algorithms for a Rotary Indexing Machine
  169. End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes
  170. Emergence of a phonological bias in ChatGPT
  171. Parameter Estimation in DAGs from Incomplete Data via Optimal Transport
  172. On the Identifiability of Switching Dynamical Systems
  173. Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation
  174. Towards a Capability Assessment Model for the Comprehension and Adoption of AI in Organisations
  175. Learning Assumption-based Argumentation Frameworks
  176. Accurate generation of stochastic dynamics based on multi-model Generative Adversarial Networks
  177. A Fast Algorithm for Consistency Checking Partially Ordered Time
  178. Reliable Detection and Quantification of Selective Forces in Language Change
  179. MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization
  180. Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks
  181. NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation
  182. Camera-Incremental Object Re-Identification with Identity Knowledge Evolution
  183. Response Generation in Longitudinal Dialogues: Which Knowledge Representation Helps?
  184. Double Descent of Discrepancy: A Task-, Data-, and Model-Agnostic Phenomenon
  185. MTCue: Learning Zero-Shot Control of Extra-Textual Attributes by Leveraging Unstructured Context in Neural Machine Translation
  186. Consistent Optimal Transport with Empirical Conditional Measures
  187. MixFormerV2: Efficient Fully Transformer Tracking
  188. Private Meeting Summarization Without Performance Loss
  189. CSS: A Large-scale Cross-schema Chinese Text-to-SQL Medical Dataset
  190. Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization
  191. RC-BEVFusion: A Plug-In Module for Radar-Camera Bird's Eye View Feature Fusion
  192. Generative Adversarial Reduced Order Modelling
  193. LFTK: Handcrafted Features in Computational Linguistics
  194. Exponential Smoothing for Off-Policy Learning
  195. Linguistic Properties of Truthful Response
  196. Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)
  197. Jointprop: Joint Semi-supervised Learning for Entity and Relation Extraction with Heterogeneous Graph-based Propagation
  198. Learning Robust Statistics for Simulation-based Inference under Model Misspecification
  199. Extracting Text Representations for Terms and Phrases in Technical Domains
  200. A Task-guided, Implicitly-searched and Meta-initialized Deep Model for Image Fusion
  201. LLHR: Low Latency and High Reliability CNN Distributed Inference for Resource-Constrained UAV Swarms
  202. Sequential Integrated Gradients: a simple but effective method for explaining language models
  203. Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation
  204. On sampling determinantal and Pfaffian point processes on a quantum computer
  205. Stochastic Modified Equations and Dynamics of Dropout Algorithm
  206. TabGSL: Graph Structure Learning for Tabular Data Prediction
  207. Text-to-Motion Retrieval: Towards Joint Understanding of Human Motion Data and Natural Language
  208. Embeddings between Barron spaces with higher order activation functions
  209. Improved Multi-Scale Grid Rendering of Point Clouds for Radar Object Detection Networks
  210. PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion
  211. All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation
  212. Towards Label Position Bias in Graph Neural Networks
  213. Market Making with Deep Reinforcement Learning from Limit Order Books
  214. Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term
  215. Bhasha-Abhijnaanam: Native-script and romanized Language Identification for 22 Indic languages
  216. Leveraging object detection for the identification of lung cancer
  217. Unifying gradient regularization for Heterogeneous Graph Neural Networks
  218. ChatGPT for PLC/DCS Control Logic Generation
  219. Towards Language-guided Interactive 3D Generation: LLMs as Layout Interpreter with Generative Feedback
  220. Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness
  221. Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers
  222. Lucy-SKG: Learning to Play Rocket League Efficiently Using Deep Reinforcement Learning
  223. Feature space reduction method for ultrahigh-dimensional, multiclass data: Random forest-based multiround screening (RFMS)
  224. IDEA: Invariant Defense for Graph Adversarial Robustness
  225. Service Composition in the ChatGPT Era
  226. Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting
  227. Dynamic Data Augmentation via MCTS for Prostate MRI Segmentation
  228. AUC Optimization from Multiple Unlabeled Datasets
  229. Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace
  230. Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification
  231. TLNets: Transformation Learning Networks for long-range time-series prediction
  232. MERGE: Fast Private Text Generation
  233. High-Similarity-Pass Attention for Single Image Super-Resolution
  234. Language-Guided 3D Object Detection in Point Cloud for Autonomous Driving
  235. Multi-query Vehicle Re-identification: Viewpoint-conditioned Network, Unified Dataset and New Metric
  236. Dynamic Enhancement Network for Partial Multi-modality Person Re-identification
  237. Svarah: Evaluating English ASR Systems on Indian Accents
  238. Healing Unsafe Dialogue Responses with Weak Supervision Signals
  239. UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation
  240. Bayesian Analysis for Over-parameterized Linear Model via Effective Spectra
  241. T2TD: Text-3D Generation Model based on Prior Knowledge Guidance
  242. Towards Large-scale Single-shot Millimeter-wave Imaging for Low-cost Security Inspection
  243. Multilingual Text-to-Speech Synthesis for Turkic Languages Using Transliteration
  244. ReactFace: Online Multiple Appropriate Facial Reaction Generation in Dyadic Interactions
  245. Union Subgraph Neural Networks
  246. Assessing the Spatial Structure of the Association between Attendance at Preschool and Childrens Developmental Vulnerabilities in Queensland Australia
  247. Robust Ante-hoc Graph Explainer using Bilevel Optimization
  248. TransWorldNG: Traffic Simulation via Foundation Model
  249. Counterfactual Generative Models for Time-Varying Treatments
  250. MPE4G: Multimodal Pretrained Encoder for Co-Speech Gesture Generation
  251. Analysis and tuning of a three-term DMC
  252. CLIP3Dstyler: Language Guided 3D Arbitrary Neural Style Transfer
  253. POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference
  254. Learn to Not Link: Exploring NIL Prediction in Entity Linking
  255. Learning across Data Owners with Joint Differential Privacy
  256. Comparative Study of Pre-Trained BERT Models for Code-Mixed Hindi-English Data
  257. Efficient Neural Music Generation
  258. Towards Higher Pareto Frontier in Multilingual Machine Translation
  259. CUEING: a lightweight model to Capture hUman attEntion In driviNG
  260. PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation
  261. pFedSim: Similarity-Aware Model Aggregation Towards Personalized Federated Learning
  262. The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning
  263. Action Sensitivity Learning for Temporal Action Localization
  264. Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments
  265. Cross-view Action Recognition Understanding From Exocentric to Egocentric Perspective
  266. Rethinking Diversity in Deep Neural Network Testing
  267. Privacy Protectability: An Information-theoretical Approach
  268. Detecting Dataset Drift and Non-IID Sampling via k-Nearest Neighbors
  269. Asking Before Acting: Gather Information in Embodied Decision Making with Language Models
  270. Learning Occupancy for Monocular 3D Object Detection
  271. Deep Neural Networks in Video Human Action Recognition: A Review
  272. Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts
  273. Frame-Event Alignment and Fusion Network for High Frame Rate Tracking
  274. RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting
  275. Perturbation-based Self-supervised Attention for Attention Bias in Text Classification
  276. A Similarity Alignment Model for Video Copy Segment Matching
  277. Revisiting non-English Text Simplification: A Unified Multilingual Benchmark
  278. Nonlinear Bipartite Output Regulation with Application to Turing Pattern
  279. Enhancing Grammatical Error Correction Systems with Explanations
  280. BookGPT: A General Framework for Book Recommendation Empowered by Large Language Model
  281. Interpretable Machine Learning based on Functional ANOVA Framework: Algorithms and Comparisons
  282. How to escape sharp minima with random perturbations
  283. Towards Total Online Unsupervised Anomaly Detection and Localization in Industrial Vision
  284. ConvGQR: Generative Query Reformulation for Conversational Search
  285. Meta Adaptive Task Sampling for Few-Domain Generalization
  286. Federated Composite Saddle Point Optimization
  287. Learning-Based Automatic Synthesis of Software Code and Configuration
  288. A Robust Classifier Under Missing-Not-At-Random Sample Selection Bias
  289. Characterizing Out-of-Distribution Error via Optimal Transport
  290. Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion
  291. Morphological Inflection: A Reality Check
  292. Patient Outcome Predictions Improve Operations at a Large Hospital Network
  293. GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint