mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 22 May 2023

430 papers

  1. AlpacaFarm: A Simulation Framework for Methods that Learn from Human FeedbackLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  2. LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-OnDiffusion models → 3D, point cloud and scene generation
  3. Clembench: Using Game Play to Evaluate Chat-Optimized Language Models as Conversational AgentsLLM agents and tool use → Reinforcement learning for LLM agents
  4. Element-aware Summarization with Large Language Models: Expert-aligned Evaluation and Chain-of-Thought MethodLLM reasoning → Reasoning benchmarks and evaluation
  5. Developmental Curiosity and Social Interaction in Virtual AgentsWorld models → Latent dynamics models and model-based RL
  6. EnSiam: Self-Supervised Learning With Ensemble RepresentationsKnowledge distillation → General knowledge distillation methods
  7. VDT: General-purpose Video Diffusion Transformers via Mask ModelingDiffusion models → Video generation
  8. If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by SelectionDiffusion models → Image generation, text-to-image and editing
  9. Training Diffusion Models with Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics
  10. DiffusionNER: Boundary Diffusion for Named Entity RecognitionDiffusion models → Discrete and text diffusion
  11. Achieving the Asymptotically Optimal Sample Complexity of Offline Reinforcement Learning: A DRO-Based ApproachOffline RL and imitation learning from data → Offline RL algorithms
  12. Enhance Reasoning Ability of Visual-Language Models via Large Language ModelsLLM reasoning → Multimodal reasoning +1
  13. Watermarking Text Data on Large Language Models for Dataset CopyrightLLM safety and security → Watermarking generated content and models
  14. To Repeat or Not To Repeat: Insights from Scaling LLM under Token-CrisisMixture-of-experts → MoE large language models
  15. U-DiT TTS: U-Diffusion Vision Transformer for Text-to-SpeechDiffusion models → Audio, speech and music
  16. SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific TablesLLM reasoning → Knowledge- and tool-augmented reasoning
  17. Teaching Probabilistic Logical Reasoning to TransformersLLM reasoning → Test-time compute and efficient thinking
  18. LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future OpportunitiesLLM reasoning → Knowledge- and tool-augmented reasoning
  19. Can ChatGPT Defend its Belief in Truth? Evaluating LLM Reasoning via DebateLLM reasoning → Reasoning benchmarks and evaluation
  20. Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference PipelineEfficient LLM inference and serving → Serving systems and request scheduling
  21. GSURE-Based Diffusion Model Training with Corrupted DataDiffusion models → Diffusion foundations and sampling
  22. Policy Representation via Diffusion Probability Model for Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics
  23. Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language ModelsLLM reasoning → LLM reasoning for recommendation
  24. Large Language Models are Not Yet Human-Level Evaluators for Abstractive SummarizationLLM reasoning → Reasoning benchmarks and evaluation
  25. ControlVideo: Training-free Controllable Text-to-Video GenerationDiffusion models → Video generation
  26. Making Language Models Better Tool Learners with Execution FeedbackLLM agents and tool use → Tool learning and function calling
  27. Distilling Robustness into Natural Language Inference Models with Domain-Targeted AugmentationKnowledge distillation → Knowledge distillation for LLMs
  28. Retrieval-augmented Multi-label Text ClassificationRetrieval-augmented generation → Generation and context integration
  29. AudioToken: Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image GenerationDiffusion models → Audio, speech and music
  30. SpokenWOZ: A Large-Scale Speech-Text Benchmark for Spoken Task-Oriented Dialogue AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  31. Hierarchical Integration Diffusion Model for Realistic Image DeblurringDiffusion models → Inverse problems and image restoration
  32. Distilling ChatGPT for Explainable Automated Student Answer AssessmentKnowledge distillation → Knowledge distillation for LLMs
  33. Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?Diffusion models → Diffusion foundations and sampling
  34. Offline Primal-Dual Reinforcement Learning for Linear MDPsOffline RL and imitation learning from data → Offline RL algorithms
  35. DiffAVA: Personalized Text-to-Audio Generation with Visual AlignmentDiffusion models → Audio, speech and music
  36. Leveraging Human Feedback to Scale Educational Datasets: Combining Crowdworkers and Comparative JudgementLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  37. End-to-End Stable Imitation Learning via Autonomous Neural Dynamic PoliciesOffline RL and imitation learning from data → Imitation learning methods
  38. FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
  39. Interactive Data Synthesis for Systematic Vision Adaptation via LLMs-AIGCs CollaborationSynthetic data and self-improvement for LLMs → Self-improving MLLMs and synthetic data
  40. D2TV: Dual Knowledge Distillation and Target-oriented Vision Modeling for Many-to-Many Multimodal SummarizationKnowledge distillation → Multimodal distillation
  41. Fact-Checking Complex Claims with Program-Guided ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  42. The CLIP Model is Secretly an Image-to-Prompt ConverterDiffusion models → Image generation, text-to-image and editing
  43. ViT-TTS: Visual Text-to-Speech with Scalable Diffusion TransformerDiffusion models → Audio, speech and music
  44. Mist: Towards Improved Adversarial Examples for Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  45. Offline Reinforcement Learning with Additional Covering DistributionsOffline RL and imitation learning from data → Offline RL algorithms
  46. Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure AbductionLLM reasoning → Reasoning benchmarks and evaluation
  47. Multi-task Hierarchical Adversarial Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning
  48. Duplex Diffusion Models Improve Speech-to-Speech TranslationDiffusion models → Audio, speech and music
  49. FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering
  50. Preconditioned Visual Language Inference with Weak Supervision
  51. Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT Angiography
  52. Differential Privacy with Random Projections and Sign Random Projections
  53. TinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object Detection Network for Low Power Microcontrollers
  54. Instant Representation Learning for Recommendation over Large Dynamic Graphs
  55. Fairness of ChatGPT
  56. REFinD: Relation Extraction Financial Dataset
  57. Training an Ising Machine with Equilibrium Propagation
  58. Cognitive network science reveals bias in GPT-3, ChatGPT, and GPT-4 mirroring math anxiety in high-school students
  59. Automated Feedback Generation for a Chemistry Database and Abstracting Exercise
  60. Multi-behavior Self-supervised Learning for Recommendation
  61. Text Generation with Speech Synthesis for ASR Data Augmentation
  62. Continual Learning through Human-Robot Interaction: Human Perceptions of a Continual Learning Robot in Repeated Interactions
  63. Design a Delicious Lunchbox in Style
  64. FEDORA: Flying Event Dataset fOr Reactive behAvior
  65. Breast Cancer Segmentation using Attention-based Convolutional Network and Explainable AI
  66. Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation
  67. Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models
  68. A Rational Model of Dimension-reduced Human Categorization
  69. Stock and market index prediction using Informer network
  70. Connecting Multi-modal Contrastive Representations
  71. Finding the Pillars of Strength for Multi-Head Attention
  72. Learning Subpocket Prototypes for Generalizable Structure-based Drug Design
  73. Squared Neural Families: A New Class of Tractable Density Models
  74. How Fragile is Relation Extraction under Entity Replacements?
  75. Attribute-Guided Encryption with Facial Texture Masking
  76. Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks
  77. Neural Functional Transformers
  78. ConvBoost: Boosting ConvNets for Sensor-based Activity Recognition
  79. Subspace-Configurable Networks
  80. Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals
  81. How Language Model Hallucinations Can Snowball
  82. Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting
  83. The Grammar and Syntax Based Corpus Analysis Tool For The Ukrainian Language
  84. Transfer-Free Data-Efficient Multilingual Slot Labeling
  85. Aligning the Norwegian UD Treebank with Entity and Coreference Information
  86. A 4D Hybrid Algorithm to Scale Parallel Training to Thousands of GPUs
  87. A Study of Generative Large Language Model for Medical Research and Healthcare
  88. CEO: Corpus-based Open-Domain Event Ontology Induction
  89. Tied-Augment: Controlling Representation Similarity Improves Data Augmentation
  90. Development of Non-Linear Equations for Predicting Electrical Conductivity in Silicates
  91. Statistical Guarantees of Group-Invariant GANs
  92. Scaling Speech Technology to 1,000+ Languages
  93. Small Language Models Improve Giants by Rewriting Their Outputs
  94. Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding
  95. ColMix -- A Simple Data Augmentation Framework to Improve Object Detector Performance and Robustness in Aerial Images
  96. DeepBern-Nets: Taming the Complexity of Certifying Neural Networks using Bernstein Polynomial Activations and Precise Bound Propagation
  97. Multimodal Automated Fact-Checking: A Survey
  98. Neural Machine Translation for Code Generation
  99. Asynchronous Multi-Model Dynamic Federated Learning over Wireless Networks: Theory, Modeling, and Optimization
  100. Learning Emotion Representations from Verbal and Nonverbal Communication
All 430
  1. Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefixes
  2. Parameter estimation from an Ornstein-Uhlenbeck process with measurement noise
  3. Type-to-Track: Retrieve Any Object via Prompt-based Tracking
  4. Nonparanormal Graph Quilting with Applications to Calcium Imaging
  5. Detection of healthy and diseased crops in drone captured images using Deep Learning
  6. Advancing Community Engaged Approaches to Identifying Structural Drivers of Racial Bias in Health Diagnostic Algorithms
  7. Flover: A Temporal Fusion Framework for Efficient Autoregressive Model Parallel Inference
  8. Automatic Readability Assessment for Closely Related Languages
  9. Look-back Decoding for Open-Ended Text Generation
  10. A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics
  11. Fast Convergence in Learning Two-Layer Neural Networks with Separable Data
  12. MAILEX: Email Event and Argument Extraction
  13. Risk-aware Safe Control for Decentralized Multi-agent Systems via Dynamic Responsibility Allocation
  14. 'Tax-free' 3DMM Conditional Face Generation
  15. The First Proven Performance Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) on a Combinatorial Optimization Problem
  16. Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters
  17. A Meta-learning based Generalizable Indoor Localization Model using Channel State Information
  18. Measuring and Modeling Physical Intrinsic Motivation
  19. Regularization Through Simultaneous Learning: A Case Study on Plant Classification
  20. Differentially Private Medians and Interior Points for Non-Pathological Data
  21. Evaluating Model Performance in Medical Datasets Over Time
  22. EINCASM: Emergent Intelligence in Neural Cellular Automaton Slime Molds
  23. VISIT: Visualizing and Interpreting the Semantic Information Flow of Transformers
  24. Syntactic Knowledge via Graph Attention with BERT in Machine Translation
  25. Efficient Learning of Quantum States Prepared With Few Non-Clifford Gates
  26. Modular Domain Adaptation for Conformer-Based Streaming ASR
  27. DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic Rules
  28. Improving Convergence and Generalization Using Parameter Symmetries
  29. GATology for Linguistics: What Syntactic Dependencies It Knows
  30. Error-Tolerant Exact Query Learning of Finite Set Partitions with Same-Cluster Oracle
  31. A study of conceptual language similarity: comparison and evaluation
  32. Efficient Large-Scale Visual Representation Learning And Evaluation
  33. nnDetection for Intracranial Aneurysms Detection and Localization
  34. BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance
  35. The neural dynamics of auditory word recognition and integration
  36. Can LLMs facilitate interpretation of pre-trained language models?
  37. On quantum backpropagation, information reuse, and cheating measurement collapse
  38. RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars
  39. A Multiple Parameter Linear Scale-Space for one dimensional Signal Classification
  40. Multiclass classification for multidimensional functional data through deep neural networks
  41. Further Decimating the Inductive Programming Search Space with Instruction Digrams
  42. Contextualising Implicit Representations for Semantic Tasks
  43. Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching
  44. Evaluating Factual Consistency of Texts with Semantic Role Labeling
  45. NeRFuser: Large-Scale Scene Representation by NeRF Fusion
  46. RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text
  47. Towards Unsupervised Recognition of Token-level Semantic Differences in Related Documents
  48. Language-Agnostic Bias Detection in Language Models with Bias Probing
  49. Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts
  50. Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations
  51. Investigating the Role of Feed-Forward Networks in Transformers Using Parallel Attention and Feed-Forward Net Design
  52. Time Fairness in Online Knapsack Problems
  53. VideoLLM: Modeling Video Sequence with Large Language Models
  54. Materialistic: Selecting Similar Materials in Images
  55. Uncertainty and Structure in Neural Ordinary Differential Equations
  56. How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning
  57. Target-Aware Generative Augmentations for Single-Shot Adaptation
  58. Approximating a RUM from Distributions on k-Slates
  59. Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection
  60. LM vs LM: Detecting Factual Errors via Cross Examination
  61. U-TILISE: A Sequence-to-sequence Model for Cloud Removal in Optical Satellite Time Series
  62. Evaluating ChatGPT's Performance for Multilingual and Emoji-based Hate Speech Detection
  63. A Machine Learning Approach to Detect Dehydration in Afghan Children
  64. CLASS: A Design Framework for building Intelligent Tutoring Systems based on Learning Science principles
  65. MAGDiff: Covariate Data Set Shift Detection via Activation Graphs of Deep Neural Networks
  66. Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
  67. Prompting is not a substitute for probability measurements in large language models
  68. Modulation Extraction for LFO-driven Audio Effects
  69. NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection
  70. TaskWeb: Selecting Better Source Tasks for Multi-task NLP
  71. "According to ...": Prompting Language Models Improves Quoting from Pre-Training Data
  72. Copy Recurrent Neural Network Structure Network
  73. Bayesian Numerical Integration with Neural Networks
  74. Interactive Natural Language Processing
  75. GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
  76. Chip-Chat: Challenges and Opportunities in Conversational Hardware Design
  77. MAGE: Machine-generated Text Detection in the Wild
  78. ADA-GP: Accelerating DNN Training By Adaptive Gradient Prediction
  79. SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations
  80. Estimating Gibbs free energies via isobaric-isothermal flows
  81. Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study
  82. Sequential Transfer Learning to Decode Heard and Imagined Timbre from fMRI Data
  83. Multi-Task Instruction Tuning of LLaMa for Specific Scenarios: A Preliminary Study on Writing Assistance
  84. Fast Monocular Scene Reconstruction with Global-Sparse Local-Dense Grids
  85. Sequence-to-Sequence Forecasting-aided State Estimation for Power Systems
  86. Atomic Inference for NLI with Generated Facts as Atoms
  87. Faster Differentially Private Convex Optimization via Second-Order Methods
  88. Know your Enemy: Investigating Monte-Carlo Tree Search with Opponent Models in Pommerman
  89. Improving Isochronous Machine Translation with Target Factors and Auxiliary Counters
  90. Knowledge-Retrieval Task-Oriented Dialog Systems with Semi-Supervision
  91. Multilingual Holistic Bias: Extending Descriptors and Patterns to Unveil Demographic Biases in Languages at Scale
  92. Challenging Decoder helps in Masked Auto-Encoder Pre-training for Dense Passage Retrieval
  93. SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation
  94. SimCSE++: Improving Contrastive Learning for Sentence Embeddings from Two Perspectives
  95. Taxonomy Expansion for Named Entity Recognition
  96. An ASP Framework for the Refinement of Authorization and Obligation Policies
  97. Unsupervised Anomaly Detection with Rejection
  98. SignSVRG: fixing SignSGD via variance reduction
  99. Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice
  100. Discovering Universal Geometry in Embeddings with ICA
  101. Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation
  102. Editing Large Language Models: Problems, Methods, and Opportunities
  103. Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning
  104. A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity
  105. VLAB: Enhancing Video Language Pre-training by Feature Adapting and Blending
  106. Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model
  107. INVICTUS: Optimizing Boolean Logic Circuit Synthesis via Synergistic Learning and Search
  108. Effective Bilevel Optimization via Minimax Reformulation
  109. Better Sampling of Negatives for Distantly Supervised Named Entity Recognition
  110. Tight conditions for when the NTK approximation is valid
  111. Extrapolating Multilingual Understanding Models as Multilingual Generators
  112. EMNS /Imz/ Corpus: An emotive single-speaker dataset for narrative storytelling in games, television and graphic novels
  113. Transforming Geospatial Ontologies by Homomorphisms
  114. Hang-Time HAR: A Benchmark Dataset for Basketball Activity Recognition using Wrist-Worn Inertial Sensors
  115. Partial Annotation Learning for Biomedical Entity Recognition
  116. Ambiguity Meets Uncertainty: Investigating Uncertainty Estimation for Word Sense Disambiguation
  117. AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web
  118. Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention
  119. Debiased Automatic Speech Recognition for Dysarthric Speech via Sample Reweighting with Sample Affinity Test
  120. On Learning the Tail Quantiles of Driving Behavior Distributions via Quantile Regression and Flows
  121. Observations on LLMs for Telecom Domain: Capabilities and Limitations
  122. Open-world Semi-supervised Novel Class Discovery
  123. Restore Anything Pipeline: Segment Anything Meets Image Restoration
  124. Improved Compositional Generalization by Generating Demonstrations for Meta-Learning
  125. Should We Attend More or Less? Modulating Attention for Fairness
  126. LMGQS: A Large-scale Dataset for Query-focused Summarization
  127. Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models
  128. A Fractional Graph Laplacian Approach to Oversmoothing
  129. InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT
  130. Sketch-and-Project Meets Newton Method: Global mathcal O(k-2) Convergence with Low-Rank Updates
  131. Mitigating Catastrophic Forgetting for Few-Shot Spoken Word Classification Through Meta-Learning
  132. Optimality Principles in Spacecraft Neural Guidance and Control
  133. An Abstract Specification of VoxML as an Annotation Language
  134. Text-to-SQL Error Correction with Language Models of Code
  135. Interpretable Mesomorphic Networks for Tabular Data
  136. Machine-Created Universal Language for Cross-lingual Transfer
  137. Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization
  138. Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond
  139. Hierarchical Partitioning Forecaster
  140. Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study
  141. Road Planning for Slums via Deep Reinforcement Learning
  142. Friendly Neighbors: Contextualized Sequence-to-Sequence Link Prediction
  143. Causality-Aided Trade-off Analysis for Machine Learning Fairness
  144. Parallelizing Optical Flow Estimation on an Ultra-Low Power RISC-V Cluster for Nano-UAV Navigation
  145. Federated Learning of Medical Concepts Embedding using BEHRT
  146. Learning Pedestrian Actions to Ensure Safe Autonomous Driving
  147. RWKV: Reinventing RNNs for the Transformer Era
  148. Automated stance detection in complex topics and small languages: the challenging case of immigration in polarizing news media
  149. POEM: Polarization of Embeddings for Domain-Invariant Representations
  150. Self-Replication, Spontaneous Mutations, and Exponential Genetic Drift in Neural Cellular Automata
  151. Distributed Learning over Networks with Graph-Attention-Based Personalization
  152. Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting
  153. Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design
  154. Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection Layer
  155. Towards generalizing deep-audio fake detection networks
  156. HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation
  157. Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations
  158. DUMB: A Benchmark for Smart Evaluation of Dutch Models
  159. Robots in the Garden: Artificial Intelligence and Adaptive Landscapes
  160. Iterative Forward Tuning Boosts In-Context Learning in Language Models
  161. 3D Rotation and Translation for Hyperbolic Knowledge Graph Embedding
  162. Can Large Language Models emulate an inductive Thematic Analysis of semi-structured interviews? An exploration and provocation on the limits of the approach and the model
  163. A network community detection method with integration of data from multiple layers and node attributes
  164. Textually Pretrained Speech Language Models
  165. Rethinking Semi-supervised Learning with Language Models
  166. Bidirectional Transformer Reranker for Grammatical Error Correction
  167. MFT: Long-Term Tracking of Every Pixel
  168. Evaluating Privacy Leakage in Split Learning
  169. MaNtLE: Model-agnostic Natural Language Explainer
  170. funLOCI: a local clustering algorithm for functional data
  171. Sentence Representations via Gaussian Embedding
  172. GPT-SW3: An Autoregressive Language Model for the Nordic Languages
  173. Sparsity and Coefficient Permutation Based Two-Domain AMP for Image Block Compressed Sensing
  174. Feasibility of Transfer Learning: A Mathematical Framework
  175. Why current rain denoising models fail on CycleGAN created rain images in autonomous driving
  176. When Computing Power Network Meets Distributed Machine Learning: An Efficient Federated Split Learning Framework
  177. Attentive Graph-based Text-aware Preference Modeling for Top-N Recommendation
  178. VanillaNet: the Power of Minimalism in Deep Learning
  179. Neural Cellular Automata Can Respond to Signals
  180. Text-based Person Search without Parallel Image-Text Data
  181. Enhanced Meta Label Correction for Coping with Label Corruption
  182. The Integrated Forward-Forward Algorithm: Integrating Forward-Forward and Shallow Backpropagation With Local Losses
  183. Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning
  184. AD-MERCS: Modeling Normality and Abnormality in Unsupervised Anomaly Detection
  185. Gated Stereo: Joint Depth Estimation from Gated and Wide-Baseline Active Stereo Cues
  186. Enhancing Next Active Object-based Egocentric Action Anticipation with Guided Attention
  187. Cross-functional Analysis of Generalisation in Behavioural Learning
  188. ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness
  189. ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination
  190. Album Storytelling with Iterative Story-aware Captioning and Large Language Models
  191. On the Correspondence between Compositionality and Imitation in Emergent Neural Communication
  192. GEST: the Graph of Events in Space and Time as a Common Representation between Vision and Language
  193. CrowdWeb: A Visualization Tool for Mobility Patterns in Smart Cities
  194. Forecasting Irregularly Sampled Time Series using Graphs
  195. Exploring Speaker-Related Information in Spoken Language Understanding for Better Speaker Diarization
  196. SCL(FOL) Can Simulate Non-Redundant Superposition Clause Learning
  197. EnCore: Fine-Grained Entity Typing by Pre-Training Entity Encoders on Coreference Chains
  198. It's Enough: Relaxing Diagonal Constraints in Linear Autoencoders for Recommendation
  199. A Diachronic Analysis of Paradigm Shifts in NLP Research: When, How, and Why?
  200. Improving Metrics for Speech Translation
  201. IMBUE: In-Memory Boolean-to-CUrrent Inference ArchitecturE for Tsetlin Machines
  202. BMB: Balanced Memory Bank for Imbalanced Semi-supervised Learning
  203. Language Models for German Text Simplification: Overcoming Parallel Data Scarcity through Style-specific Pre-training
  204. Meta-in-context learning in large language models
  205. Latent Magic: An Investigation into Adversarial Examples Crafted in the Semantic Latent Space
  206. Evaluating Prompt-based Question Answering for Object Prediction in the Open Research Knowledge Graph
  207. DEGREE: Decomposition Based Explanation For Graph Neural Networks
  208. Bio-inspired spike-based Hippocampus and Posterior Parietal Cortex models for robot navigation and environment pseudo-mapping
  209. ZS-MSTM: Zero-Shot Style Transfer for Gesture Animation driven by Text and Speech using Adversarial Disentanglement of Multimodal Style Encoding
  210. Prediction Risk and Estimation Risk of the Ridgeless Least Squares Estimator under General Assumptions on Regression Errors
  211. Building an Invisible Shield for Your Portrait against Deepfakes
  212. Yes, this Way! Learning to Ground Referring Expressions into Actions with Intra-episodic Feedback from Supportive Teachers
  213. Non-Autoregressive Document-Level Machine Translation
  214. Gloss-Free End-to-End Sign Language Translation
  215. MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variability
  216. Lion: Adversarial Distillation of Proprietary Large Language Models
  217. NAS-FM: Neural Architecture Search for Tunable and Interpretable Sound Synthesis based on Frequency Modulation
  218. Automatic Code Summarization via ChatGPT: How Far Are We?
  219. Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks
  220. Flying Adversarial Patches: Manipulating the Behavior of Deep Learning-based Autonomous Multirotors
  221. RDA-INR: Riemannian Diffeomorphic Autoencoding via Implicit Neural Representations
  222. Real-Aug: Realistic Scene Synthesis for LiDAR Augmentation in 3D Object Detection
  223. Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging Problems
  224. Enhancing Coherence of Extractive Summarization with Multitask Learning
  225. Bright Channel Prior Attention for Multispectral Pedestrian Detection
  226. An Optimized Ensemble Deep Learning Model For Brain Tumor Classification
  227. Registering Neural Radiance Fields as 3D Density Images
  228. CopyNE: Better Contextual ASR by Copying Named Entities
  229. Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach
  230. Open-Domain Event Graph Induction for Mitigating Framing Bias
  231. Boosting Long-tailed Object Detection via Step-wise Learning on Smooth-tail Data
  232. On Bias and Fairness in NLP: Investigating the Impact of Bias and Debiasing in Language Models on the Fairness of Toxicity Detection
  233. Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models
  234. Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation
  235. READMem: Robust Embedding Association for a Diverse Memory in Unconstrained Video Object Segmentation
  236. Quantifying the effect of X-ray scattering for data generation in real-time defect detection
  237. MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering
  238. Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs
  239. Conservative Physics-Informed Neural Networks for Non-Conservative Hyperbolic Conservation Laws Near Critical States
  240. Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model
  241. Investigating Agency of LLMs in Human-AI Collaboration Tasks
  242. Label Smarter, Not Harder: CleverLabel for Faster Annotation of Ambiguous Image Classification with Higher Quality
  243. Relabeling Minimal Training Subset to Flip a Prediction
  244. The defender's perspective on automatic speaker verification: An overview
  245. Ultra-Fine Entity Typing with Prior Knowledge about Labels: A Simple Clustering Based Strategy
  246. Single Domain Dynamic Generalization for Iris Presentation Attack Detection
  247. Word Embeddings Are Steers for Language Models
  248. Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition
  249. Bandit Submodular Maximization for Multi-Robot Coordination in Unpredictable and Partially Observable Environments
  250. Zero-Shot End-to-End Spoken Language Understanding via Cross-Modal Selective Self-Training
  251. Semantic Structure Enhanced Event Causality Identification
  252. The Decaying Missing-at-Random Framework: Model Doubly Robust Causal Inference with Partially Labeled Data
  253. GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs
  254. Mitigating Data Imbalance and Representation Degeneration in Multilingual Machine Translation
  255. MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space
  256. Quantum Text Classifier -- A Synchronistic Approach Towards Classical and Quantum Machine Learning
  257. Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization
  258. Evaluating Pragmatic Abilities of Image Captioners on A3DS
  259. Semantic Segmentation of Radar Detections using Convolutions on Point Clouds
  260. Learning Optimal Policy for Simultaneous Machine Translation via Binary Search
  261. FGAM:Fast Adversarial Malware Generation Method Based on Gradient Sign
  262. uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering
  263. Understanding Emergent In-Context Learning from a Kernel Regression Perspective
  264. Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer
  265. Kanbun-LM: Reading and Translating Classical Chinese in Japanese Methods by Language Models
  266. This Prompt is Measuring <MASK>: Evaluating Bias Evaluation in Language Models
  267. GNCformer Enhanced Self-attention for Automatic Speech Recognition
  268. Learning to Rank Utterances for Query-Focused Meeting Summarization
  269. Vector Autoregressive Evolution for Dynamic Multi-Objective Optimisation
  270. Testing of Deep Reinforcement Learning Agents with Surrogate Models
  271. A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches
  272. Semantic Invariant Multi-view Clustering with Fully Incomplete Information
  273. Coswara: A respiratory sounds and symptoms dataset for remote screening of SARS-CoV-2 infection
  274. Can We Edit Factual Knowledge by In-Context Learning?
  275. Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning
  276. The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning
  277. EMEF: Ensemble Multi-Exposure Image Fusion
  278. MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation
  279. Diversity and Inclusion in Artificial Intelligence
  280. Towards Explainable In-the-Wild Video Quality Assessment: A Database and a Language-Prompted Approach
  281. Bridging the Gap Between End-to-end and Non-End-to-end Multi-Object Tracking
  282. Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting
  283. llm-japanese-dataset v0: Construction of Japanese Chat Dataset for Large Language Models and its Methodology
  284. HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity
  285. TADA: Efficient Task-Agnostic Domain Adaptation for Transformers
  286. Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
  287. LEAN: Light and Efficient Audio Classification Network
  288. Unsupervised Visible-Infrared Person ReID by Collaborative Learning with Neighbor-Guided Label Refinement
  289. Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture
  290. Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis
  291. Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage
  292. Rotation-Constrained Cross-View Feature Fusion for Multi-View Appearance-based Gaze Estimation
  293. Progressive Sub-Graph Clustering Algorithm for Semi-Supervised Domain Adaptation Speaker Verification
  294. Learning Interpretable Style Embeddings via Prompting LLMs
  295. Systematic Literature Review on Application of Machine Learning in Continuous Integration
  296. Automatic Spell Checker and Correction for Under-represented Spoken Languages: Case Study on Wolof
  297. MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning
  298. Hi-ResNet: Edge Detail Enhancement for High-Resolution Remote Sensing Segmentation
  299. FIT: Far-reaching Interleaved Transformers
  300. Conformal Inference for Invariant Risk Minimization
  301. Phased Data Augmentation for Training a Likelihood-Based Generative Model with Limited Data
  302. G3Detector: General GPT-Generated Text Detector
  303. Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction
  304. Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs
  305. Exploring Energy-based Language Models with Different Architectures and Training Methods for Speech Recognition
  306. A Frustratingly Simple Decoding Method for Neural Text Generation
  307. Efficient Bilateral Cross-Modality Cluster Matching for Unsupervised Visible-Infrared Person ReID
  308. Block Coordinate Plug-and-Play Methods for Blind Inverse Problems
  309. Transferring Fairness using Multi-Task Learning with Limited Demographic Information
  310. TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching
  311. Semantic-guided modeling of spatial relation and object co-occurrence for indoor scene recognition
  312. UVOSAM: A Mask-free Paradigm for Unsupervised Video Object Segmentation via Segment Anything Model
  313. Estimating Discrete Total Curvature with Per Triangle Normal Variation
  314. Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype Alignment
  315. Reflective Linguistic Programming (RLP): A Stepping Stone in Socially-Aware AGI (SocialAGI)
  316. SG-GAN: Fine Stereoscopic-Aware Generation for 3D Brain Point Cloud Up-sampling from a Single Image
  317. A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the ChatGPT Era and Beyond
  318. Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare
  319. Accelerating Graph Neural Networks via Edge Pruning for Power Allocation in Wireless Networks
  320. A bioinspired three-stage model for camouflaged object detection
  321. Data-efficient Active Learning for Structured Prediction with Partial Annotation and Self-Training
  322. MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction
  323. You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example
  324. Multirotor Ensemble Model Predictive Control I: Simulation Experiments
  325. Strategy Extraction in Single-Agent Games
  326. Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit
  327. DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images
  328. Keeping Up with the Language Models: Systematic Benchmark Extension for Bias Auditing
  329. Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning
  330. PrOnto: Language Model Evaluations for 859 Languages