mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 1 Jun 2023

385 papers

  1. Rethinking Model Evaluation as Narrowing the Socio-Technical GapLLM reasoning → Reasoning benchmarks and evaluation
  2. Extracting Reward Functions from Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
  3. DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain PackingDiffusion models → Flow matching, time series and science
  4. Consistency-guided Prompt Learning for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  5. Delphic Offline Reinforcement Learning under Nonidentifiable Hidden ConfoundingOffline RL and imitation learning from data → Offline RL algorithms
  6. Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction LearningLLM reasoning → Reasoning benchmarks and evaluation
  7. Evaluating the Capabilities of Multi-modal Reasoning Models with Synthetic Task DataLLM reasoning → Multimodal reasoning
  8. Learning Transformer ProgramsMechanistic interpretability → Circuits and mechanistic analysis
  9. Examining the Causal Effect of First Names on Language Models: The Case of Social Commonsense ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  10. Reimagining Retrieval Augmented Language Models for Answering QueriesRetrieval-augmented generation → Generation and context integration
  11. SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two SecondsDiffusion models → Image generation, text-to-image and editing
  12. Discovering Failure Modes of Text-guided Diffusion Models via Adversarial SearchDiffusion models → Image generation, text-to-image and editing
  13. Intelligent Grimm -- Open-ended Visual Storytelling via Latent Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  14. Improving and Benchmarking Offline Reinforcement Learning AlgorithmsOffline RL and imitation learning from data → Offline RL algorithms
  15. ViCo: Plug-and-play Visual Condition for Personalized Text-to-image GenerationDiffusion models → Image generation, text-to-image and editing
  16. The Hidden Language of Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  17. Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image GenerationDiffusion models → Image generation, text-to-image and editing
  18. Differential Diffusion: Giving Each Pixel Its StrengthDiffusion models → Image generation, text-to-image and editing
  19. "Let's not Quote out of Context": Unified Vision-Language Pretraining for Context Assisted Image CaptioningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  20. Inserting Anybody in Diffusion Models via Celeb BasisDiffusion models → Image generation, text-to-image and editing
  21. Vocabulary-free Image ClassificationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  22. Conditioning Diffusion Models via Attributes and Semantic Masks for Face GenerationDiffusion models → Image generation, text-to-image and editing
  23. LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One DayMultimodal LLMs / vision-language models → Medical vision-language models
  24. IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive ControlOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
  25. UniDiff: Advancing Vision-Language Models with Generative and Discriminative LearningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
  26. Improved Cross-Lingual Transfer Learning For Automatic Speech TranslationKnowledge distillation → Speech and audio distillation
  27. FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  28. Inference and Sampling of Point Processes from Diffusion ExcursionsDiffusion models → Diffusion foundations and sampling
  29. UnDiff: Unsupervised Voice Restoration with Unconditional Diffusion ModelDiffusion models → Audio, speech and music
  30. Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative ModelsDiffusion models → Inverse problems and image restoration
  31. Explanation Graph Generation via Generative Pre-training over Synthetic GraphsLLM reasoning → Knowledge- and tool-augmented reasoning
  32. EmoMix: Emotion Mixing via Diffusion Models for Emotional Speech SynthesisDiffusion models → Audio, speech and music
  33. Wuerstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  34. A Teacher-Student approach for extracting informative speaker embeddings from speech mixturesKnowledge distillation → Speech and audio distillation
  35. Identifiability and Generalizability in Constrained Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning
  36. Safe Offline Reinforcement Learning with Real-Time Budget ConstraintsOffline RL and imitation learning from data → Safe offline RL
  37. Causal Imitability Under Context-Specific Independence RelationsOffline RL and imitation learning from data → Imitation learning methods
  38. Chain-Of-Thought Prompting Under Streaming Batch: A Case StudyLLM reasoning → Prompting and chain-of-thought reasoning
  39. AvatarStudio: Text-driven Editing of 3D Dynamic Human Head AvatarsDiffusion models → 3D, point cloud and scene generation
  40. Image generation with shortest path diffusionDiffusion models → Diffusion foundations and sampling
  41. Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State TrackingMixture-of-experts → MoE large language models
  42. Interactive Character Control with Auto-Regressive Motion Diffusion ModelsDiffusion models → Video generation
  43. Preference-grounded Token-level Guidance for Language Model Fine-tuningLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  44. Teacher Agent: A Knowledge Distillation-Free Framework for Rehearsal-based Video Incremental LearningKnowledge distillation → Distillation for continual learning
  45. On the Equivalence of Consistency-Type Models: Consistency Models, Consistent Diffusion Models, and Fokker-Planck RegularizationDiffusion models → Diffusion foundations and sampling
  46. Addressing Negative Transfer in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  47. A Multi-dimensional Deep Structured State Space Approach to Speech Enhancement Using Small-footprint ModelsState-space sequence models (S4, Mamba) → Speech and audio SSMs
  48. Thought Cloning: Learning to Think while Acting by Imitating Human ThinkingOffline RL and imitation learning from data → Imitation learning methods
  49. Improving Offline RL by Blending HeuristicsOffline RL and imitation learning from data → Offline RL algorithms
  50. Low-Light Image Enhancement with Wavelet-based Diffusion ModelsDiffusion models → Inverse problems and image restoration
  51. Efficient Deep Learning of Robust Policies from MPC using Imitation and Tube-Guided Data AugmentationOffline RL and imitation learning from data → Imitation learning methods
  52. Reflection Invariance Learning for Few-shot Semantic Segmentation
  53. Joint Latent Topic Discovery and Expectation Modeling for Financial Markets
  54. Enterprise Disk Drive Scrubbing Based on Mondrian Conformal Predictors
  55. Applying language models to algebraic topology: generating simplicial cycles using multi-labeling in Wu's formula
  56. Feature Engineering-Based Detection of Buffer Overflow Vulnerability in Source Code Using Neural Networks
  57. Strengths and Weaknesses of 3D Pose Estimation and Inertial Motion Capture System for Movement Therapy
  58. Overview of Deep Learning Methods for Retinal Vessel Segmentation
  59. SAM-helps-Shadow:When Segment Anything Model meet shadow removal
  60. Neural FIM for learning Fisher Information Metrics from point cloud data
  61. Improve State-Level Wheat Yield Forecasts in Kazakhstan on GEOGLAM's EO Data by Leveraging A Simple Spatial-Aware Technique
  62. A scientometric analysis of the effect of COVID-19 on the spread of research outputs
  63. On the Robustness of Arabic Speech Dialect Identification
  64. Some voices are too common: Building fair speech recognition systems using the Common Voice dataset
  65. Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes
  66. Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains
  67. The ethical ambiguity of AI data enrichment: Measuring gaps in research ethics norms and practices
  68. Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions
  69. Exploring EFL students' prompt engineering in human-AI story writing: an Activity Theory perspective
  70. AI and the creative realm: A short review of current and future applications
  71. Task Relation-aware Continual User Representation Learning
  72. Adapting an Unadaptable ASR System
  73. Estimating Semantic Similarity between In-Domain and Out-of-Domain Samples
  74. SelFLoc: Selective Feature Fusion for Large-scale Point Cloud-based Place Recognition
  75. Physics-informed UNets for Discovering Hidden Elasticity in Heterogeneous Materials
  76. Learning When to Speak: Latency and Quality Trade-offs for Simultaneous Speech-to-Speech Translation with Offline Models
  77. Multi-Dimensional Evaluation of Text Summarization with In-Context Learning
  78. Confidence Intervals for Error Rates in 1:1 Matching Tasks: Critical Statistical Analysis and Recommendations
  79. An Effective Meaningful Way to Evaluate Survival Models
  80. Conformal Prediction with Partially Labeled Data
  81. Identifying visible tissue in intraoperative ultrasound: a method and application
  82. A General Framework for Uncertainty Quantification via Neural SDE-RNN
  83. Event-based Stereo Visual Odometry with Native Temporal Resolution via Continuous-time Gaussian Process Regression
  84. Training neural operators to preserve invariant measures of chaotic attractors
  85. Systematic Evaluation of GPT-3 for Zero-Shot Personality Estimation
  86. TMI! Finetuned Models Leak Private Information from their Pretraining Data
  87. Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging
  88. Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations
  89. Hybrid Long Document Summarization using C2F-FAR and ChatGPT: A Practical Study
  90. Leveraging Natural Language Processing For Public Health Screening On YouTube: A COVID-19 Case Study
  91. Integrated Sensing-Communication-Computation for Edge Artificial Intelligence
  92. Faster Causal Attention Over Large Sequences Through Sparse Flash Attention
  93. Heterogeneous Knowledge for Augmented Modular Reinforcement Learning
  94. The Law of Parsimony in Gradient Descent for Learning Deep Linear Networks
  95. Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference
  96. AI Liability Insurance With an Example in AI-Powered E-diagnosis System
  97. Addressing Discrepancies in Semantic and Visual Alignment in Neural Networks
  98. Smooth Min-Max Monotonic Networks
  99. Federated Graph Learning for Low Probability of Detection in Wireless Ad-Hoc Networks
  100. Privacy-Preserving Remote Heart Rate Estimation from Facial Videos
All 385
  1. White-Box Transformers via Sparse Rate Reduction
  2. Reconstruction Distortion of Learned Image Compression with Imperceptible Perturbations
  3. A Neural RDE-based model for solving path-dependent PDEs
  4. On the Convergence of Coordinate Ascent Variational Inference
  5. Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards
  6. The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only
  7. Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context
  8. Exploring the Versatility of Zero-Shot CLIP for Interstitial Lung Disease Classification
  9. Comparative Study on the Effects of Noise in ML-Based Anxiety Detection
  10. Towards Learning Discrete Representations via Self-Supervision for Wearables-Based Human Activity Recognition
  11. Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment
  12. Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization
  13. LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimization
  14. ALO-VC: Any-to-any Low-latency One-shot Voice Conversion
  15. Fast Matrix Multiplication Without Tears: A Constraint Programming Approach
  16. Large-Batch, Iteration-Efficient Neural Bayesian Design Optimization
  17. UCAS-IIE-NLP at SemEval-2023 Task 12: Enhancing Generalization of Multilingual BERT for Low-resource Sentiment Analysis
  18. Improving the Robustness of Summarization Systems with Dual Augmentation
  19. Semi-supervised Community Detection via Structural Similarity Metrics
  20. Multi-Study R-Learner for Estimating Heterogeneous Treatment Effects Across Studies Using Statistical Machine Learning
  21. 4DSR-GCN: 4D Video Point Cloud Upsampling using Graph Convolutional Networks
  22. Quantization-Aware and Tensor-Compressed Training of Transformers for Natural Language Understanding
  23. Pedestrian Crossing Action Recognition and Trajectory Prediction with 3D Human Keypoints
  24. Hierarchical Attention Encoder Decoder
  25. TimelineQA: A Benchmark for Question Answering over Timelines
  26. Investigating Navigation Strategies in the Morris Water Maze through Deep Reinforcement Learning
  27. Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents
  28. Pseudo Labels for Single Positive Multi-Label Learning
  29. Chaos persists in large-scale multi-agent learning despite adaptive learning rates
  30. Bypass Temporal Classification: Weakly Supervised Automatic Speech Recognition with Imperfect Transcripts
  31. SPINEX: Similarity-based Predictions and Explainable Neighbors Exploration for Regression and Classification Tasks in Machine Learning
  32. An FPGA Architecture for Online Learning using the Tsetlin Machine
  33. A Virtual-Force Based Swarm Algorithm for Balanced Circular Bin Packing Problems
  34. PV2TEA: Patching Visual Modality to Textual-Established Information Extraction
  35. How to Estimate Model Transferability of Pre-Trained Speech Models?
  36. Graph-Level Embedding for Time-Evolving Graphs
  37. Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles
  38. Continual Learning for Abdominal Multi-Organ and Tumor Segmentation
  39. StyleGAN knows Normal, Depth, Albedo, and More
  40. Diffusion Self-Guidance for Controllable Image Generation
  41. Using generative AI to investigate medical imagery models and datasets
  42. StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
  43. StyleDrop: Text-to-Image Generation in Any Style
  44. Building Rearticulable Models for Arbitrary 3D Objects from 4D Point Clouds
  45. AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
  46. AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation
  47. TopEx: Topic-based Explanations for Model Comparison
  48. Active Vision Reinforcement Learning under Limited Visual Observability
  49. GRES: Generalized Referring Expression Segmentation
  50. BUOL: A Bottom-Up Framework with Occupancy-aware Lifting for Panoptic 3D Scene Reconstruction From A Single Image
  51. Dynamic Algorithms for Matroid Submodular Maximization
  52. LIV: Language-Image Representations and Rewards for Robotic Control
  53. The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objects
  54. Meta-Learning Framework for End-to-End Imposter Identification in Unseen Speaker Recognition
  55. EEL: Efficiently Encoding Lattices for Reranking
  56. Exposing Attention Glitches with Flip-Flop Language Modeling
  57. CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions
  58. Make-Your-Video: Customized Video Generation Using Textual and Structural Guidance
  59. Train Offline, Test Online: A Real Robot Learning Benchmark
  60. chemSKI with tokens: world building and economy in the SKI universe
  61. STEVE-1: A Generative Model for Text-to-Behavior in Minecraft
  62. AMR4NLI: Interpretable and robust NLI measures from semantic graphs
  63. Interpreting GNN-based IDS Detections Using Provenance Graph Structural Features
  64. Cross Modal Data Discovery over Structured and Unstructured Data Lakes
  65. ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NER
  66. Second Sight: Using brain-optimized encoding models to align image distributions with human brain activity
  67. Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker
  68. Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents that See and Hear
  69. Better Private Linear Regression Through Better Private Feature Selection
  70. The feasibility of artificial consciousness through the lens of neuroscience
  71. MOSAIC: Masked Optimisation with Selective Attention for Image Reconstruction
  72. T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation
  73. Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions
  74. Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices
  75. A Probabilistic Relaxation of the Two-Stage Object Pose Estimation Paradigm
  76. OpenPI-C: A Better Benchmark and Stronger Baseline for Open-Vocabulary State Tracking
  77. Bounds on BDD-Based Bucket Elimination
  78. Domain Generalization for Domain-Linked Classes
  79. Quantifying Deep Learning Model Uncertainty in Conformal Prediction
  80. Is novelty predictable?
  81. A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics
  82. DeepFake-Adapter: Dual-Level Adapter for DeepFake Detection
  83. Non-stationary Reinforcement Learning under General Function Approximation
  84. Adversarial learning of neural user simulators for dialogue policy optimisation
  85. Loss-Optimal Classification Trees: A Generalized Framework and the Logistic Case
  86. A deep-learning approach to early identification of suggested sexual harassment from videos
  87. Spatio-Angular Convolutions for Super-resolution in Diffusion MRI
  88. Learning Sampling Dictionaries for Efficient and Generalizable Robot Motion Planning with Transformers
  89. BitE : Accelerating Learned Query Optimization in a Mixed-Workload Environment
  90. What model does MuZero learn?
  91. Deformable Convolutions and LSTM-based Flexible Event Frame Fusion Network for Motion Deblurring
  92. When Does Bottom-up Beat Top-down in Hierarchical Community Detection?
  93. In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation
  94. Zero and Few-shot Semantic Parsing with Ambiguous Inputs
  95. Geo-Tiles for Semantic Segmentation of Earth Observation Imagery
  96. Dilated Convolution with Learnable Spacings: beyond bilinear interpolation
  97. Versatile Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers
  98. Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis
  99. Deep Operator Learning-based Surrogate Models with Uncertainty Quantification for Optimizing Internal Cooling Channel Rib Profiles
  100. Initial Guessing Bias: How Untrained Networks Favor Some Classes
  101. Adaptive Contextual Biasing for Transducer Based Streaming Speech Recognition
  102. Birth of a Transformer: A Memory Viewpoint
  103. FigGen: Text to Scientific Figure Generation
  104. Microstructure quality control of steels using deep learning
  105. SlothSpeech: Denial-of-service Attack Against Speech Recognition Models
  106. Learning Across Decentralized Multi-Modal Remote Sensing Archives with Federated Learning
  107. Modeling and Analyzing Scorer Preferences in Short-Answer Math Questions
  108. Knowledge-based Reasoning and Learning under Partial Observability in Ad Hoc Teamwork
  109. Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression
  110. Data Interpolants -- That's What Discriminators in Higher-order Gradient-regularized GANs Are
  111. Interpretable Math Word Problem Solution Generation Via Step-by-step Planning
  112. An End-to-End Time Series Model for Simultaneous Imputation and Forecast
  113. Object pop-up: Can we infer 3D objects and their poses from human interactions alone?
  114. In-Context Learning User Simulators for Task-Oriented Dialog Systems
  115. Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection
  116. Learning Disentangled Prompts for Compositional Image Synthesis
  117. Efficient Failure Pattern Identification of Predictive Algorithms
  118. LiT-4-RSVQA: Lightweight Transformer-based Visual Question Answering in Remote Sensing
  119. Enhancing the Unified Streaming and Non-streaming Model with Contrastive Learning
  120. Robust T-Loss for Medical Image Segmentation
  121. Differentiable Tree Operations Promote Compositional Generalization
  122. End-to-End Document Classification and Key Information Extraction using Assignment Optimization
  123. Column Type Annotation using ChatGPT
  124. The Galerkin method beats Graph-Based Approaches for Spectral Algorithms
  125. On the Limitations of Temperature Scaling for Distributions with Overlaps
  126. ReFACT: Updating Text-to-Image Models by Editing the Text Encoder
  127. Sharper Bounds for ℓp Sensitivity Sampling
  128. Boosting the Performance of Transformer Architectures for Semantic Textual Similarity
  129. Renormalized Graph Representations for Node Classification
  130. DAM-Net: Global Flood Detection from SAR Imagery Using Differential Attention Metric-Based Vision Transformers
  131. On the Weight Dynamics of Deep Normalized Networks
  132. Prediction of Post-Operative Renal and Pulmonary Complications Using Transformers
  133. How Generative Spoken Language Modeling Encodes Noisy Speech: Investigation from Phonetics to Syntactics
  134. Analyzing the Internals of Neural Radiance Fields
  135. GPT4Image: Large Pre-trained Models Help Vision Models Learn Better on Perception Task
  136. Stuttering Detection Using Speaker Representations and Self-supervised Contextual Embeddings
  137. Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review
  138. Balanced Training of Energy-Based Models with Adaptive Flow Sampling
  139. Encoder-decoder multimodal speaker change detection
  140. Hyperspectral Target Detection Based on Low-Rank Background Subspace Learning and Graph Laplacian Regularization
  141. RHFedMTL: Resource-Aware Hierarchical Federated Multi-Task Learning
  142. CRS-FL: Conditional Random Sampling for Communication-Efficient and Privacy-Preserving Federated Learning
  143. Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise
  144. Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Reranking
  145. Predicting the Quality of Revisions in Argumentative Writing
  146. Automatic Glossary of Clinical Terminology: a Large-Scale Dictionary of Biomedical Definitions Generated from Ontological Knowledge
  147. Improving Polish to English Neural Machine Translation with Transfer Learning: Effects of Data Volume and Language Similarity
  148. NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries
  149. Normalization Enhances Generalization in Visual Reinforcement Learning
  150. Learning Prescriptive ReLU Networks
  151. Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correction
  152. Contextual Distortion Reveals Constituency: Masked Language Models are Implicit Parsers
  153. TriSig: Assessing the statistical significance of triclusters
  154. Multi-Modal Deep Learning for Multi-Temporal Urban Mapping With a Partly Missing Optical Modality
  155. Being Right for Whose Right Reasons?
  156. Byzantine-Robust Clustered Federated Learning
  157. Unfair Utilities and First Steps Towards Improving Them
  158. Class Anchor Margin Loss for Content-Based Image Retrieval
  159. Factors Impacting the Quality of User Answers on Smartphones
  160. From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders
  161. ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing
  162. OTW: Optimal Transport Warping for Time Series
  163. Effective Structured Prompting by Meta-Learning and Representative Verbalizer
  164. Progressive Learning for Physics-informed Neural Motion Planning
  165. Adaptation and Optimization of Automatic Speech Recognition (ASR) for the Maritime Domain in the Field of VHF Communication
  166. AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset
  167. On the Effectiveness of Hybrid Mutual Information Estimation
  168. FACT: Federated Adversarial Cross Training
  169. Approximate Stein Classes for Truncated Density Estimation
  170. Rotating Features for Object Discovery
  171. Analysis of ChatGPT on Source Code
  172. Revisit Weakly-Supervised Audio-Visual Video Parsing from the Language Perspective
  173. Evaluating the "Learning on Graphs" Conference Experience
  174. Anomaly Detection with Variance Stabilized Density Estimation
  175. FMapping: Factorized Efficient Neural Field Mapping for Real-Time Dense RGB SLAM
  176. Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk?
  177. TorchRL: A data-driven decision-making library for PyTorch
  178. MammalNet: A Large-scale Video Benchmark for Mammal Recognition and Behavior Understanding
  179. Predicting Temporal Aspects of Movement for Predictive Replication in Fog Environments
  180. Machine Learning and Kalman Filtering for Nanomechanical Mass Spectrometry
  181. Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners
  182. Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks
  183. We never go out of Style: Motion Disentanglement by Subspace Decomposition of Latent Space
  184. ShaRP: Shape-Regularized Multidimensional Projections
  185. Unleash the Potential of 3D Point Cloud Modeling with A Calibrated Local Geometry-driven Distance Metric
  186. Enhancing Programming eTextbooks with ChatGPT Generated Counterfactual-Thinking-Inspired Questions
  187. Label- and slide-free tissue histology using 3D epi-mode quantitative phase imaging and virtual H&E staining
  188. A Novel Driver Distraction Behavior Detection Method Based on Self-supervised Learning with Masked Image Modeling
  189. Nonparametric Identifiability of Causal Representations from Unknown Interventions
  190. Decomposing Global Feature Effects Based on Feature Interactions
  191. A Call for Standardization and Validation of Text Style Transfer Evaluation
  192. The Effects of Input Type and Pronunciation Dictionary Usage in Transfer Learning for Low-Resource Text-to-Speech
  193. CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of Undersampled MRI Reconstruction
  194. Neuronal Cell Type Classification using Deep Learning
  195. Layout and Task Aware Instruction Prompt for Zero-shot Document Image Question Answering
  196. A New PHO-rmula for Improved Performance of Semi-Structured Networks
  197. On Masked Pre-training and the Marginal Likelihood
  198. DiffInDScene: Diffusion-based High-Quality 3D Indoor Scene Generation
  199. MEWL: Few-shot multimodal word learning with referential uncertainty
  200. Revisiting Event Argument Extraction: Can EAE Models Learn Better When Being Aware of Event Co-occurrences?
  201. DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
  202. The Risks of Recourse in Binary Classification
  203. Effect of Monetary Reward on Users' Individual Strategies Using Co-Evolutionary Learning
  204. Speech inpainting: Context-based speech synthesis guided by video
  205. Reconstructing Graph Diffusion History from a Single Snapshot
  206. Causal Estimation of User Learning in Personalized Systems
  207. Overcoming Language Bias in Remote Sensing Visual Question Answering via Adversarial Training
  208. Inspecting Spoken Language Understanding from Kids for Basic Math Learning at Home
  209. Automatic Data Augmentation for Domain Adapted Fine-Tuning of Self-Supervised Speech Representations
  210. Parallel Neurosymbolic Integration with Concordia
  211. Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
  212. Interpretable simultaneous localization of MRI corpus callosum and classification of atypical Parkinsonian disorders using YOLOv5
  213. Exploring Anisotropy and Outliers in Multilingual Language Models for Cross-Lingual Semantic Sentence Similarity
  214. MindBigData 2023 MNIST-8B The 8 billion datapoints Multimodal Dataset of Brain Signals
  215. Speech Self-Supervised Representation Benchmarking: Are We Doing it Right?
  216. S2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp Segmentation
  217. Exploring Open-Vocabulary Semantic Segmentation without Human Labels
  218. Evaluation of Multi-indicator And Multi-organ Medical Image Segmentation Models
  219. A big data approach towards sarcasm detection in Russian
  220. Edge-guided Representation Learning for Underwater Object Detection
  221. Responsibility Perspective Transfer for Italian Femicide News
  222. How Many Answers Should I Give? An Empirical Study of Multi-Answer Reading Comprehension
  223. Out-of-distribution forgetting: vulnerability of continual learning to intra-class distribution shift
  224. End-to-end Knowledge Retrieval with Multi-modal Queries
  225. Introduction to Medical Imaging Informatics
  226. Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond
  227. Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction
  228. Towards hate speech detection in low-resource languages: Comparing ASR to acoustic word embeddings on Wolof and Swahili
  229. Adapting Pre-trained Language Models to Vision-Language Tasks via Dynamic Visual Prompting
  230. Towards Interactive Image Inpainting via Sketch Refinement
  231. Faster Robust Tensor Power Method for Arbitrary Order
  232. A Survey on Fairness-aware Recommender Systems
  233. Discriminative Deep Feature Visualization for Explainable Face Recognition
  234. BiSync: A Bilingual Editor for Synchronized Monolingual Texts
  235. Lightweight Vision Transformer with Bidirectional Interaction
  236. Coneheads: Hierarchy Aware Attention
  237. Learning Gaussian Mixture Representations for Tensor Time Series Forecasting
  238. Symmetric Uncertainty-Aware Feature Transmission for Depth Super-Resolution
  239. HySpecNet-11k: A Large-Scale Hyperspectral Dataset for Benchmarking Learning-Based Hyperspectral Image Compression Methods
  240. Calibrated and Conformal Propensity Scores for Causal Effect Estimation
  241. Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion
  242. Survey of Trustworthy AI: A Meta Decision of AI
  243. Large Scale Generative Multimodal Attribute Extraction for E-commerce Attributes
  244. Example-based Motion Synthesis via Generative Motion Matching
  245. Developing and Building Ontologies in Cyber Security
  246. CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation
  247. Graph Switching Dynamical Systems
  248. Focused Prefix Tuning for Controllable Text Generation
  249. Sharded Bayesian Additive Regression Trees
  250. How Do ConvNets Understand Image Intensity?
  251. Efficient and Robust Bayesian Selection of Hyperparameters in Dimension Reduction for Visualization
  252. Regularizing Towards Soft Equivariance Under Mixed Symmetries
  253. Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective
  254. Improving Energy Conserving Descent for Machine Learning: Theory and Practice
  255. CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception
  256. CAISA at SemEval-2023 Task 8: Counterfactual Data Augmentation for Mitigating Class Imbalance in Causal Claim Identification
  257. BOtied: Multi-objective Bayesian optimization with tied multivariate ranks
  258. Combining Explicit and Implicit Regularization for Efficient Learning in Deep Networks
  259. Last Switch Dependent Bandits with Monotone Payoff Functions
  260. Approximate inference of marginals using the IBIA framework
  261. Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning
  262. FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization
  263. Explicit Feature Interaction-aware Uplift Network for Online Marketing
  264. Adversarial-Aware Deep Learning System based on a Secondary Classical Machine Learning Verification Approach
  265. (Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy
  266. Prompt Algebra for Task Composition
  267. Sea Ice Extraction via Remote Sensed Imagery: Algorithms, Datasets, Applications and Challenges
  268. CapText: Large Language Model-based Caption Generation From Image Context and Description
  269. Robust Estimation of Surface Curvature Information from Point Cloud Data
  270. Transformers learn to implement preconditioned gradient descent for in-context learning
  271. EMOTE: An Explainable architecture for Modelling the Other Through Empathy
  272. Affinity-based Attention in Self-supervised Transformers Predicts Dynamics of Object Grouping in Humans
  273. Training-free Neural Architecture Search for RNNs and Transformers
  274. Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection
  275. Autism Disease Detection Using Transfer Learning Techniques: Performance Comparison Between Central Processing Unit vs Graphics Processing Unit Functions for Neural Networks
  276. Transfer Learning for Underrepresented Music Generation
  277. Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications
  278. Accelerated Fingerprint Enhancement: A GPU-Optimized Mixed Architecture Approach
  279. Provable Benefit of Mixup for Finding Optimal Decision Boundaries
  280. A polynomial-time iterative algorithm for random graph matching with non-vanishing correlation
  281. Doubly Robust Self-Training
  282. Maximizing Information in Domain-Invariant Representation Improves Transfer Learning
  283. Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior
  284. DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm
  285. AfriNames: Most ASR models "butcher" African Names