mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 7 Jun 2023

276 papers

  1. Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image SegmentationMultimodal LLMs / vision-language models → Medical vision-language models
  2. WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  3. ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  4. Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion modelsDiffusion models → Image generation, text-to-image and editing
  5. ModuleFormer: Modularity Emerges from Mixture-of-ExpertsMixture-of-experts → MoE large language models
  6. On the Reliability of Watermarks for Large Language ModelsLLM safety and security → Watermarking generated content and models
  7. Designing a Better Asymmetric VQGAN for StableDiffusionDiffusion models → Image generation, text-to-image and editing
  8. ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image CollectionsDiffusion models → 3D, point cloud and scene generation
  9. GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data GenerationDiffusion models → Image generation, text-to-image and editing
  10. Divide and Repair: Using Options to Improve Performance of Imitation Learning Against Adversarial DemonstrationsOffline RL and imitation learning from data → Imitation learning methods
  11. Multi-Task Training with In-Domain Language Models for Diagnostic ReasoningLLM reasoning → Clinical and biomedical applications
  12. On the Design Fundamentals of Diffusion Models: A SurveyDiffusion models → Diffusion foundations and sampling
  13. PromptAttack: Probing Dialogue State Trackers with Adversarial PromptsLLM safety and security → Jailbreaking
  14. PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial PromptsLLM safety and security → Jailbreaking
  15. Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewardsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  16. Multi-modal Latent DiffusionDiffusion models → Diffusion foundations and sampling
  17. STEPS: A Benchmark for Order Reasoning in Sequential TasksLLM reasoning → Reasoning benchmarks and evaluation
  18. Faithful Knowledge DistillationKnowledge distillation → Federated, robust and private distillation
  19. Synthesizing realistic sand assemblies with denoising diffusion in latent spaceDiffusion models → Flow matching, time series and science
  20. Improving Diffusion-based Image Translation using Asymmetric Gradient GuidanceDiffusion models → Image generation, text-to-image and editing
  21. Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and BenchmarksMultimodal LLMs / vision-language models → Video understanding with MLLMs
  22. Fine-Grained Visual PromptingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  23. Generative Semantic Communication: Diffusion Models Beyond Bit RecoveryDiffusion models → Diffusion for compression and wireless
  24. Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RLOffline RL and imitation learning from data → Offline RL algorithms
  25. Self-supervised Audio Teacher-Student Transformer for Both Clip-level and Frame-level TasksKnowledge distillation → Speech and audio distillation
  26. A Comprehensive Survey on Generative Diffusion Models for Structured DataDiffusion models → Diffusion foundations and sampling
  27. Membership inference attack with relative decision boundary distanceLLM safety and security → Membership inference attacks
  28. Phoenix: A Federated Generative Diffusion ModelDiffusion models → Robustness, privacy and adversarial aspects
  29. PlayBest: Professional Basketball Player Behavior Synthesis via Planning with DiffusionDiffusion models → Diffusion and flow policies for robotics
  30. Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural NetworksMixture-of-experts → Expert routing strategies
  31. Optimized Crystallographic Graph Generation for Material Science
  32. Unlocking Insights into Business Trajectories with Transformer-based Spatio-temporal Data Analysis
  33. Investigating Reproducibility at Interspeech Conferences: A Longitudinal and Comparative Perspective
  34. IsoEx: an explainable unsupervised approach to process event logs cyber investigation
  35. FOOCTTS: Generating Arabic Speech with Acoustic Environment for Football Commentator
  36. An Ensemble Machine Learning Approach for Tropical Cyclone Detection Using ERA5 Reanalysis Data
  37. On the Detectability of ChatGPT Content: Benchmarking, Methodology, and Evaluation through the Lens of Academic Writing
  38. Deep Learning with Partially Labeled Data for Radio Map Reconstruction
  39. K-Nearest-Neighbor Resampling for Off-Policy Evaluation in Stochastic Control
  40. Empowering Counterfactual Reasoning over Graph Neural Networks through Inductivity
  41. A Semi-supervised Object Detection Algorithm for Underwater Imagery
  42. Unified Embedding Based Personalized Retrieval in Etsy Search
  43. Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities
  44. Fast and Effective GNN Training through Sequences of Random Path Graphs
  45. Sparse Linear Centroid-Encoder: A Convex Method for Feature Selection
  46. Data Augmentation for Improving Tail-traffic Robustness in Skill-routing for Dialogue Systems
  47. Optimizing ViViT Training: Time and Memory Reduction for Action Recognition
  48. Good Data, Large Data, or No Data? Comparing Three Approaches in Developing Research Aspect Classifiers for Biomedical Papers
  49. SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States
  50. Catapults in SGD: spikes in the training loss and their impact on generalization through feature learning
  51. Revisiting Inferential Benchmarks for Knowledge Graph Completion
  52. Human in the Loop Novelty Generation
  53. Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
  54. Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings (Extended Version)
  55. Privately generating tabular data using language models
  56. A Review on Knowledge Graphs for Healthcare: Resources, Applications, and Promises
  57. Feature Selection using Sparse Adaptive Bottleneck Centroid-Encoder
  58. On the Joint Interaction of Models, Data, and Features
  59. On the Use of Generative Models in Observational Causal Analysis
  60. XInsight: Revealing Model Insights for GNNs with Flow-based Explanations
  61. Absformer: Transformer-based Model for Unsupervised Multi-Document Abstractive Summarization
  62. Interpretable Deep Clustering for Tabular Data
  63. Learning to Navigate in Turbulent Flows with Aerial Robot Swarms: A Cooperative Deep Reinforcement Learning Approach
  64. How to Evaluate Behavioral Models
  65. Invariant Causal Set Covering Machines
  66. Exploiting Observation Bias to Improve Matrix Completion
  67. RefineVIS: Video Instance Segmentation with Temporal Attention Refinement
  68. Enabling tabular deep learning when d gg n with an auxiliary knowledge graph
  69. The HCI Aspects of Public Deployment of Research Chatbots: A User Study, Design Recommendations, and Open Challenges
  70. Context-Aware Self-Supervised Learning of Whole Slide Images
  71. SKG: A Versatile Information Retrieval and Analysis Framework for Academic Papers with Semantic Knowledge Graphs
  72. INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models
  73. A Linearly Convergent GAN Inversion-based Algorithm for Reverse Engineering of Deceptions
  74. Computational Modeling of Deep Multiresolution-Fractal Texture and Its Application to Abnormal Brain Tissue Segmentation
  75. How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources
  76. AutoML Systems For Medical Imaging
  77. Analysis, Identification and Prediction of Parkinson Disease Sub-Types and Progression through Machine Learning
  78. Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models
  79. 3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels
  80. ScienceBenchmark: A Complex Real-World Benchmark for Evaluating Natural Language to SQL Systems
  81. Automatic retrieval of corresponding US views in longitudinal examinations
  82. MultiEarth 2023 -- Multimodal Learning for Earth and Environment Workshop and Challenge
  83. BU-CVKit: Extendable Computer Vision Framework for Species Independent Tracking and Analysis
  84. Soft-prompt Tuning for Large Language Models to Evaluate Bias
  85. Machine-Learning Kronecker Coefficients
  86. Stochastic Natural Thresholding Algorithms
  87. Prompter: Zero-shot Adaptive Prefixes for Dialogue State Tracking Domain Adaptation
  88. Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts
  89. Don't trust your eyes: on the (un)reliability of feature visualizations
  90. Scalable Neural Symbolic Regression using Control Variables
  91. AGIQA-3K: An Open Database for AI-Generated Image Quality Assessment
  92. UniBoost: Unsupervised Unimodal Pre-training for Boosting Zero-shot Vision-Language Tasks
  93. Differentiable Earth Mover's Distance for Data Compression at the High-Luminosity LHC
  94. Improved statistical benchmarking of digital pathology models using pairwise frames evaluation
  95. Improving Open Language Models by Learning from Organic Interactions
  96. Robust-DefReg: A Robust Deformable Point Cloud Registration Method based on Graph Convolutional Neural Networks
  97. DiViNeT: 3D Reconstruction from Disparate Views via Neural Template Regularization
  98. Multiscale Flow for Robust and Optimal Cosmological Analysis
  99. Object Detection with Transformers: A Review
  100. SMRVIS: Point cloud extraction from 3-D ultrasound for non-destructive testing
All 276
  1. Neural Embeddings for Protein Graphs
  2. Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling
  3. U-PASS: an Uncertainty-guided deep learning Pipeline for Automated Sleep Staging
  4. Understanding Place Identity with Generative AI
  5. Adaptive Frequency Green Light Optimal Speed Advisory based on Hybrid Actor-Critic Reinforcement Learning
  6. Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection
  7. GP-UNIT: Generative Prior for Versatile Unsupervised Image-to-Image Translation
  8. Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion
  9. Yet Another Algorithm for Supervised Principal Component Analysis: Supervised Linear Centroid-Encoder
  10. Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration
  11. Goal-conditioned GFlowNets for Controllable Multi-Objective Molecular Design
  12. Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations
  13. The Two Word Test: A Semantic Benchmark for Large Language Models
  14. Uncovering solutions from data corrupted by systematic errors: A physics-constrained convolutional neural network approach
  15. Language Models Get a Gender Makeover: Mitigating Gender Bias with Few-Shot Data Interventions
  16. Generalization Across Observation Shifts in Reinforcement Learning
  17. MarineVRS: Marine Video Retrieval System with Explainability via Semantic Understanding
  18. Proximity-Informed Calibration for Deep Neural Networks
  19. A Dataset for Deep Learning-based Bone Structure Analyses in Total Hip Arthroplasty
  20. Gender, names and other mysteries: Towards the ambiguous for gender-inclusive translation
  21. Recent applications of machine learning, remote sensing, and iot approaches in yield prediction: a critical review
  22. ChatGPT is fun, but it is not funny! Humor is still challenging Large Language Models
  23. PhenoBench -- A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain
  24. StudentEval: A Benchmark of Student-Written Prompts for Large Language Models of Code
  25. Convergence of SARSA with linear function approximation: The random horizon case
  26. Querying Circumscribed Description Logic Knowledge Bases
  27. Contrastive Bootstrapping for Label Refinement
  28. Top-Down Knowledge Compilation for Counting Modulo Theories
  29. NeMO: Neural Map Growing System for Spatiotemporal Fusion in Bird's-Eye-View and BDD-Map Benchmark
  30. Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications
  31. Long-form analogies generated by chatGPT lack human-like psycholinguistic properties
  32. Long Sequence Hopfield Memory
  33. Lenient Evaluation of Japanese Speech Recognition: Modeling Naturally Occurring Spelling Inconsistency
  34. Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models
  35. ContriMix: Scalable stain color augmentation for domain generalization without domain labels in digital pathology
  36. Can current NLI systems handle German word order? Investigating language model performance on a new German challenge set of minimal pairs
  37. Estimating Koopman operators with sketching to provably learn large scale dynamical systems
  38. Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks
  39. Optimal sensor placement for reconstructing wind pressure field around buildings using compressed sensing
  40. Cross-attention learning enables real-time nonuniform rotational distortion correction in OCT
  41. Unified Model for Crystalline Material Generation
  42. Enhancing In-Context Learning with Answer Feedback for Multi-Span Question Answering
  43. Improving neural network representations using human similarity judgments
  44. Defocus to focus: Photo-realistic bokeh rendering by fusing defocus and radiance priors
  45. Hardness of Deceptive Certificate Selection
  46. Evaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers
  47. Learning with Noisy Labels by Adaptive Gradient-Based Outlier Removal
  48. Near-Optimal Privacy-Preserving Learning for Max-Min Fair Multi-Agent Bandits
  49. Limits, approximation and size transferability for GNNs on sparse graphs via graphops
  50. Fair Column Subset Selection
  51. Artificial Intelligence can facilitate selfish decisions by altering the appearance of interaction partners
  52. ICON2: Reliably Benchmarking Predictive Inequity in Object Detection
  53. FoSp: Focus and Separation Network for Early Smoke Segmentation
  54. Training-Free Neural Active Learning with Initialization-Robustness Guarantees
  55. Fast Optimal Locally Private Mean Estimation via Random Projections
  56. Dual policy as self-model for planning
  57. Cross-Database and Cross-Channel ECG Arrhythmia Heartbeat Classification Based on Unsupervised Domain Adaptation
  58. Balancing of competitive two-player Game Levels with Reinforcement Learning
  59. Zambezi Voice: A Multilingual Speech Corpus for Zambian Languages
  60. Towards High-Performance Exploratory Data Analysis (EDA) Via Stable Equilibrium Point
  61. Examining Bias in Opinion Summarisation Through the Perspective of Opinion Diversity
  62. On Computing Optimal Tree Ensembles
  63. A Gamified Interaction with a Humanoid Robot to explain Therapeutic Procedures in Pediatric Asthma
  64. Meta-Learning in Spiking Neural Networks with Reward-Modulated STDP
  65. Generalized Teacher Forcing for Learning Chaotic Dynamics
  66. Policy-Based Self-Competition for Planning Problems
  67. A Fair Classifier Embracing Triplet Collapse
  68. Transfer Learning of Transformer-based Speech Recognition Models from Czech to Slovak
  69. M3IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning
  70. SF-FSDA: Source-Free Few-Shot Domain Adaptive Object Detection with Efficient Labeled Data Factory
  71. Multilingual Clinical NER: Translation or Cross-lingual Transfer?
  72. Get More for Less in Decentralized Learning Systems
  73. Label Shift Quantification with Robustness Guarantees via Distribution Feature Matching
  74. Learning via Wasserstein-Based High Probability Generalisation Bounds
  75. Label Aware Speech Representation Learning For Language Identification
  76. Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based Augmentation
  77. Enhancing Worker Recruitment in Collaborative Mobile Crowdsourcing: A Graph Neural Network Trust Evaluation Approach
  78. Edge conductivity in PtSe2 nanostructures
  79. Robust and Efficient Fault Diagnosis of mm-Wave Active Phased Arrays using Baseband Signal
  80. Dial-MAE: ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems
  81. GPT Self-Supervision for a Better Data Annotator
  82. World Models for Math Story Problems
  83. An Overview of Challenges in Egocentric Text-Video Retrieval
  84. ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation
  85. Bayesian Optimisation Against Climate Change: Applications and Benchmarks
  86. Co-evolving Graph Reasoning Network for Emotion-Cause Pair Extraction
  87. Unpaired Deep Learning for Pharmacokinetic Parameter Estimation from Dynamic Contrast-Enhanced MRI
  88. Changing Data Sources in the Age of Machine Learning for Official Statistics
  89. A study on the impact of Self-Supervised Learning on automatic dysarthric speech assessment
  90. Semantic web technologies in sensor-based personal health monitoring systems: A systematic mapping study
  91. Echoes from Alexandria: A Large Resource for Multilingual Book Summarization
  92. IUTEAM1 at MEDIQA-Chat 2023: Is simple fine tuning effective for multilayer summarization of clinical conversations?
  93. GCT-TTE: Graph Convolutional Transformer for Travel Time Estimation
  94. CaptAinGlove: Capacitive and Inertial Fusion-Based Glove for Real-Time on Edge Hand Gesture Recognition for Drone Control
  95. Cross-Genre Argument Mining: Can Language Models Automatically Fill in Missing Discourse Markers?
  96. Personality testing of Large Language Models: Limited temporal stability, but highlighted prosociality
  97. Allophant: Cross-lingual Phoneme Recognition with Articulatory Attributes
  98. CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
  99. Timing Process Interventions with Causal Inference and Reinforcement Learning
  100. Phrase Retrieval for Open-Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning
  101. Dear XAI Community, We Need to Talk! Fundamental Misconceptions in Current XAI Research
  102. Introduction and Assessment of the Addition of Links and Containers to the Blackboard Architecture
  103. Revising deep learning methods in parking lot occupancy detection
  104. Extension of the Blackboard Architecture with Common Properties and Generic Rules
  105. A Mask Free Neural Network for Monaural Speech Enhancement
  106. Analysis of the Fed's communication by using textual entailment model of Zero-Shot classification
  107. Decentralized Technologies for AI Hubs
  108. On the Generalization of Multi-modal Contrastive Learning
  109. ColNav: Real-Time Colon Navigation for Colonoscopy
  110. Multi-microphone Automatic Speech Segmentation in Meetings Based on Circular Harmonics Features
  111. Permutation Equivariant Graph Framelets for Heterophilous Graph Learning
  112. Self-Adjusting Weighted Expected Improvement for Bayesian Optimization
  113. Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time
  114. Adversarial Sample Detection Through Neural Network Transport Dynamics
  115. Stochastic Collapse: How Gradient Noise Attracts SGD Dynamics Towards Simpler Subnetworks
  116. DEMIST: A deep-learning-based task-specific denoising approach for myocardial perfusion SPECT
  117. Coarse Is Better? A New Pipeline Towards Self-Supervised Learning with Uncurated Images
  118. T-ADAF: Adaptive Data Augmentation Framework for Image Classification Network based on Tensor T-product Operator
  119. Randomized 3D Scene Generation for Generalizable Self-Supervised Pre-Training
  120. Flare7K++: Mixing Synthetic and Real Datasets for Nighttime Flare Removal and Beyond
  121. MobileNMT: Enabling Translation in 15MB and 30ms
  122. Transfer Learning from Pre-trained Language Models Improves End-to-End Speech Summarization
  123. Learning Probabilistic Coordinate Fields for Robust Correspondences
  124. Data Mining for Faster, Interpretable Solutions to Inverse Problems: A Case Study Using Additive Manufacturing
  125. Normalization Layers Are All That Sharpness-Aware Minimization Needs
  126. Efficient Vision Transformer for Human Pose Estimation via Patch Selection
  127. Causally Learning an Optimal Rework Policy
  128. Effective Neural Topic Modeling with Embedding Clustering Regularization
  129. MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos
  130. DualHGNN: A Dual Hypergraph Neural Network for Semi-Supervised Node Classification based on Multi-View Learning and Density Awareness
  131. Migrate Demographic Group For Fair GNNs
  132. Leveraging Knowledge Graph Embeddings to Enhance Contextual Representations for Relation Extraction
  133. Video Compression with Arbitrary Rescaling Network
  134. Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models
  135. An ASR-Based Tutor for Learning to Read: How to Optimize Feedback to First Graders
  136. Synthesising Recursive Functions for First-Order Model Counting: Challenges, Progress, and Conjectures
  137. A New Dataset and Empirical Study for Sentence Simplification in Chinese
  138. Knowing-how & Knowing-that: A New Task for Machine Comprehension of User Manuals
  139. StructuredMesh: 3D Structured Optimization of Faccade Components on Photogrammetric Mesh Models using Binary Integer Programming
  140. Benchmarking Foundation Models with Language-Model-as-an-Examiner
  141. FusedRF: Fusing Multiple Radiance Fields
  142. Optimal Transport Model Distributional Robustness
  143. When to Read Documents or QA History: On Unified and Selective Open-domain QA
  144. ScoreCL: Augmentation-Adaptive Contrastive Learning via Score-Matching Function
  145. End-to-End Learning for Stochastic Optimization: A Bayesian Perspective
  146. From the One, Judge of the Whole: Typed Entailment Graph Construction with Predicate Generation
  147. Efficient Alternating Minimization with Applications to Weighted Low Rank Approximation
  148. BAA-NGP: Bundle-Adjusting Accelerated Neural Graphics Primitives
  149. Enhancing Virtual Assistant Intelligence: Precise Area Targeting for Instance-level User Intents beyond Metadata
  150. Bidirectional GaitNet: A Bidirectional Prediction Model of Human Gait and Anatomical Conditions
  151. Rethinking Weak Supervision in Helping Contrastive Learning
  152. A Unified One-Step Solution for Aspect Sentiment Quad Prediction
  153. SANGEET: A XML based Open Dataset for Research in Hindustani Sangeet
  154. CFDP: Common Frequency Domain Pruning
  155. UCTB: An Urban Computing Tool Box for Building Spatiotemporal Prediction Services
  156. Art and the science of generative AI: A deeper dive
  157. Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions
  158. Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering
  159. Answering Compositional Queries with Set-Theoretic Embeddings
  160. Multimodal Fusion Interactions: A Study of Human and Automatic Quantification
  161. Retrosynthesis Prediction with Local Template Retrieval
  162. Matte Anything: Interactive Natural Image Matting with Segment Anything Models
  163. MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation
  164. M3Fair: Mitigating Bias in Healthcare Data through Multi-Level and Multi-Sensitive-Attribute Reweighting Method
  165. Unbalanced Optimal Transport for Unbalanced Word Alignment
  166. Manga Rescreening with Interpretable Screentone Representation
  167. Quasi-Newton Updating for Large-Scale Distributed Learning
  168. BeMap: Balanced Message Passing for Fair Graph Neural Network
  169. Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation
  170. NTKCPL: Active Learning on Top of Self-Supervised Model by Estimating True Coverage
  171. An enrichment approach for enhancing the expressivity of neural operators with applications to seismology
  172. 1st Place Solution for PVUW Challenge 2023: Video Panoptic Segmentation
  173. TEC-Net: Vision Transformer Embrace Convolutional Neural Networks for Medical Image Segmentation
  174. XSemPLR: Cross-Lingual Semantic Parsing in Multiple Natural Languages and Meaning Representations
  175. Text-only Domain Adaptation using Unified Speech-Text Representation in Transducer
  176. Exploring Simple, High Quality Out-of-Distribution Detection with L2 Normalization