mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 26 May 2023

363 papers

  1. DataChat: Prototyping a Conversational Agent for Dataset Search and VisualizationLLM agents and tool use → Web, search, and research agents
  2. An Efficient Membership Inference Attack for the Diffusion Model by Proximal InitializationDiffusion models → Robustness, privacy and adversarial aspects +1
  3. LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based RepresentationsLLM reasoning → Multimodal reasoning
  4. A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language ModelsKnowledge distillation → Knowledge distillation for LLMs
  5. High-Fidelity Image Compression with Score-based Generative ModelsDiffusion models → Diffusion for compression and wireless
  6. Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning PerformanceLLM reasoning → Reasoning benchmarks and evaluation +1
  7. Generating Images with Multimodal Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  8. Functional Flow MatchingDiffusion models → Flow matching, time series and science
  9. A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination ProblemOffline RL and imitation learning from data → Offline multi-agent RL
  10. Selective Communication for Cooperative Perception in End-to-End Autonomous DrivingEnd-to-end autonomous driving → Cooperative and V2X driving
  11. Flow Matching for Scalable Simulation-Based InferenceDiffusion models → Flow matching, time series and science
  12. Large Language Models as Tool MakersLLM agents and tool use → Tool learning and function calling
  13. Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test TimeEfficient LLM inference and serving → KV cache optimization
  14. Improving accuracy of GPT-3/4 results on biomedical data using a retrieval-augmented language modelRetrieval-augmented generation → Medical and biomedical RAG
  15. BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical TasksMultimodal LLMs / vision-language models → Medical vision-language models
  16. Learning and Leveraging Verifiers to Improve Planning Capabilities of Pre-trained Language ModelsLLM reasoning → Reinforcement learning for reasoning
  17. Improving Knowledge Distillation via Regularizing Feature Norm and DirectionKnowledge distillation → General knowledge distillation methods
  18. Three Towers: Flexible Contrastive Learning with Pretrained Image ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  19. NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language ModelsLLM reasoning → Spatial and embodied reasoning
  20. Accelerating Diffusion Models for Inverse Problems through Shortcut SamplingDiffusion models → Inverse problems and image restoration
  21. Training Socially Aligned Language Models on Simulated Social InteractionsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  22. Meta-prediction Model for Distillation-Aware NAS on Unseen DatasetsKnowledge distillation → General knowledge distillation methods
  23. DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  24. CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image SteganographyDiffusion models → Robustness, privacy and adversarial aspects
  25. On Evaluating Adversarial Robustness of Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  26. Learning Interpretable Models of Aircraft Handling Behaviour by Reinforcement Learning from Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  27. MultiTool-CoT: GPT-3 Can Use Multiple External Tools with Chain of Thought PromptingLLM reasoning → Prompting and chain-of-thought reasoning
  28. Error Bounds for Flow Matching MethodsDiffusion models → Diffusion foundations and sampling
  29. Improved Visual Story Generation with Adaptive Context ModelingDiffusion models → Image generation, text-to-image and editing
  30. Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  31. Diverse and Expressive Speech Prosody Prediction with Denoising Diffusion Probabilistic ModelDiffusion models → Audio, speech and music
  32. Demo2Code: From Summarizing Demonstrations to Synthesizing Code via Extended Chain-of-ThoughtLLM reasoning → Spatial and embodied reasoning
  33. Future-conditioned Unsupervised Pretraining for Decision TransformerOffline RL and imitation learning from data → Decision transformers and sequence modeling
  34. ABC-KD: Attention-Based-Compression Knowledge Distillation for Deep Learning-Based Noise SuppressionKnowledge distillation → Speech and audio distillation
  35. AdaPlanner: Adaptive Planning from Feedback with Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
  36. Language Models Can Improve Event Prediction by Few-Shot Abductive ReasoningLLM reasoning → Causal reasoning in LLMs
  37. Discovering Novel Actions from Open World Egocentric Videos with Object-Grounded Visual Commonsense ReasoningLLM reasoning → Spatial and embodied reasoning
  38. Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
  39. Counterfactual reasoning: Testing language models' understanding of hypothetical scenariosLLM reasoning → Causal reasoning in LLMs
  40. Emergent Agentic Transformer from Chain of Hindsight ExperienceLLM agents and tool use → Reinforcement learning for LLM agents
  41. Pruning Distorted Images in MNIST Handwritten Digits
  42. Minibatching Offers Improved Generalization Performance for Second Order Optimizers
  43. Thailand Asset Value Estimation Using Aerial or Satellite Imagery
  44. Equalization in Dispersion-Managed Systems Using Learned Digital Back-Propagation
  45. Single-Model Attribution of Generative Models Through Final-Layer Inversion
  46. Surrogate Modeling of Car Drag Coefficient with Depth and Normal Renderings
  47. Learning to Quantize Vulnerability Patterns and Match to Locate Statement-Level Vulnerabilities
  48. DeepSeaNet: Improving Underwater Object Detection using EfficientDet
  49. AaKOS: Aspect-adaptive Knowledge-based Opinion Summarization
  50. Distinguishing Human Generated Text From ChatGPT Generated Text Using Machine Learning
  51. SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL (extended)
  52. Large language models improve Alzheimer's disease diagnosis using multi-modality data
  53. Data-Driven Games in Computational Mechanics
  54. Enhancing Human Capabilities through Symbiotic Artificial Intelligence with Shared Sensory Experiences
  55. CONA: A novel CONtext-Aware instruction paradigm for communication using large language model
  56. An Analytic End-to-End Deep Learning Algorithm based on Collaborative Learning
  57. Learning from Multi-Perception Features for Real-Word Image Super-resolution
  58. DeepSI: Interactive Deep Learning for Semantic Interaction
  59. RT-kNNS Unbound: Using RT Cores to Accelerate Unrestricted Neighbor Search
  60. Emergent representations in networks trained with the Forward-Forward algorithm
  61. Multi-Objective Genetic Algorithm for Multi-View Feature Selection
  62. Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach
  63. Attention Paper: How Generative AI Reshapes Digital Shadow Industry?
  64. Neural Task Synthesis for Visual Programming
  65. XGrad: Boosting Gradient-Based Optimizers With Weight Prediction
  66. SR-OOD: Out-of-Distribution Detection via Sample Repairing
  67. HowkGPT: Investigating the Detection of ChatGPT-generated University Student Homework through Context-Aware Perplexity Analysis
  68. Multimodal Recommendation Dialog with Subjective Preference: A New Challenge and Benchmark
  69. Learning Causal Graphs via Monotone Triangular Transport Maps
  70. Image background assessment as a novel technique for insect microhabitat identification
  71. Pulse shape discrimination based on the Tempotron: a powerful classifier on GPU
  72. Kernel Density Matrices for Probabilistic Deep Learning
  73. Towards Cognitive Bots: Architectural Research Challenges
  74. DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning
  75. External Language Model Integration for Factorized Neural Transducers
  76. Distilling BlackBox to Interpretable models for Efficient Transfer Learning
  77. Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds
  78. Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence
  79. Improving Stability in Decision Tree Models
  80. Double Descent and Overfitting under Noisy Inputs and Distribution Shift for Linear Denoisers
  81. Convex Risk Bounded Continuous-Time Trajectory Planning and Tube Design in Uncertain Nonconvex Environments
  82. Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness
  83. GC-Flow: A Graph-Based Flow Network for Effective Clustering
  84. Sharpened Lazy Incremental Quasi-Newton Method
  85. Universal consistency of the k-NN rule in metric spaces and Nagata dimension. II
  86. Improved Instruction Ordering in Recipe-Grounded Conversation
  87. Optimizing NOTEARS Objectives via Topological Swaps
  88. Local Convergence of Gradient Methods for Min-Max Games: Partial Curvature Generically Suffices
  89. Slide, Constrain, Parse, Repeat: Synchronous SlidingWindows for Document AMR Parsing
  90. Robust Lane Detection through Self Pre-training with Masked Sequential Autoencoders and Fine-tuning with Customized PolyLoss
  91. Metaphor Detection via Explicit Basic Meanings Modelling
  92. CODET: A Benchmark for Contrastive Dialectal Evaluation of Machine Translation
  93. Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale
  94. Im-Promptu: In-Context Composition from Image Prompts
  95. Closing the Gap in High-Risk Pregnancy Care Using Machine Learning and Human-AI Collaboration
  96. Study of Subjective and Objective Quality Assessment of Mobile Cloud Gaming Videos
  97. STL: Surprisingly Tricky Logic (for System Validation)
  98. Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning
  99. FineMorphs: Affine-diffeomorphic sequences for regression
  100. Generalizable Pose Estimation Using Implicit Scene Representations
All 363
  1. Duality in Multi-View Restricted Kernel Machines
  2. Self-Supervised Reinforcement Learning that Transfers using Random Features
  3. NASimEmu: Network Attack Simulator & Emulator for Training Agents Generalizing to Novel Scenarios
  4. Error Estimation for Single-Image Human Body Mesh Reconstruction
  5. Mitigating Catastrophic Forgetting in Long Short-Term Memory Networks
  6. COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models
  7. Causal Component Analysis
  8. Fast and Accurate Estimation of Low-Rank Matrices from Noisy Measurements via Preconditioned Non-Convex Gradient Descent
  9. Do We Really Need a Large Number of Visual Prompts?
  10. Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms
  11. VoxDet: Voxel Learning for Novel Instance Detection
  12. GVdoc: Graph-based Visual Document Classification
  13. Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities
  14. Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks
  15. Coping with low data availability for social media crisis message categorisation
  16. A Categorical Representation Language and Computational System for Knowledge-Based Planning
  17. Building One-class Detector for Anything: Open-vocabulary Zero-shot OOD Detection Using Text-image Models
  18. Ghost Noise for Regularizing Deep Neural Networks
  19. BIG-C: a Multimodal Multi-Purpose Dataset for Bemba
  20. Improved Sales Forecasting using Trend and Seasonality Decomposition with LightGBM
  21. Entailment as Robust Self-Learner
  22. A Knowledge Engineering Primer
  23. Inferring the Future by Imagining the Past
  24. AI-based analysis of super-resolution microscopy: Biological discovery in the absence of ground truth
  25. Live American Sign Language Letter Classification with Convolutional Neural Networks
  26. Multiplication-Free Transformer Training via Piecewise Affine Operations
  27. Task-Driven Lens Design
  28. ProGroTrack: Deep Learning-Assisted Tracking of Intracellular Protein Growth Dynamics
  29. On the Copying Problem of Unsupervised NMT: A Training Schedule with a Language Discriminator Loss
  30. Tokenization Impacts Multilingual Language Modeling: Assessing Vocabulary Allocation and Overlap Across Languages
  31. From Dogwhistles to Bullhorns: Unveiling Coded Rhetoric with Language Models
  32. Error Bounds for Learning with Vector-Valued Random Features
  33. An Improved Model Ensembled of Different Hyper-parameter Tuned Machine Learning Algorithms for Fetal Health Prediction
  34. Stability of implicit neural networks for long-term forecasting in dynamical systems
  35. On convex decision regions in deep network representations
  36. mldr.resampling: Efficient Reference Implementations of Multilabel Resampling Algorithms
  37. Diagnostic Spatio-temporal Transformer with Faithful Encoding
  38. Differentially Private Low-dimensional Synthetic Data from High-dimensional Datasets
  39. Heterogeneous Value Alignment Evaluation for Large Language Models
  40. NeuManifold: Neural Watertight Manifold Reconstruction with Efficient and High-Quality Rendering Support
  41. RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation
  42. Characterizing and Measuring Linguistic Dataset Drift
  43. Manifold Regularization for Memory-Efficient Training of Deep Neural Networks
  44. Policy Synthesis and Reinforcement Learning for Discounted LTL
  45. Reinforcement Learning with Simple Sequence Priors
  46. Random-Access Neural Compression of Material Textures
  47. PromptNER: Prompt Locating and Typing for Named Entity Recognition
  48. GeoVLN: Learning Geometry-Enhanced Visual Representation with Slot Attention for Vision-and-Language Navigation
  49. ControlVideo: Conditional Control for One-shot Text-driven Video Editing and Beyond
  50. GRAtt-VIS: Gated Residual Attention for Auto Rectifying Video Instance Segmentation
  51. Benchmarking state-of-the-art gradient boosting algorithms for classification
  52. SSSegmenation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch
  53. Communication-Efficient Reinforcement Learning in Swarm Robotic Networks for Maze Exploration
  54. A Policy Gradient Method for Confounded POMDPs
  55. Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering
  56. Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models
  57. CREST: A Joint Framework for Rationalization and Counterfactual Text Generation
  58. NeuroX Library for Neuron Analysis of Deep NLP Models
  59. Stereotypes and Smut: The (Mis)representation of Non-cisgender Identities by Text-to-Image Models
  60. Adversarial Attacks on Online Learning to Rank with Click Feedback
  61. Mindstorms in Natural Language-Based Societies of Mind
  62. Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks
  63. Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach
  64. Counterfactuals of Counterfactuals: a back-translation-inspired approach to analyse counterfactual editors
  65. Extremely weakly-supervised blood vessel segmentation with physiologically based synthesis and domain adaptation
  66. A Framework for Incentivized Collaborative Learning
  67. Exploiting Abstract Meaning Representation for Open-Domain Question Answering
  68. Intrinsic Self-Supervision for Data Quality Audits
  69. Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge Discovery
  70. RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering
  71. A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks
  72. Justification vs. Transparency: Why and How Visual Explanations in a Scientific Literature Recommender System
  73. The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)
  74. Better Batch for Deep Probabilistic Time Series Forecasting
  75. How Powerful are Decoder-Only Transformer Neural Models?
  76. Contouring by Unit Vector Field Regression
  77. Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception?
  78. GLOBE-CE: A Translation-Based Approach for Global Counterfactual Explanations
  79. Diable: Efficient Dialogue State Tracking as Operations on Tables
  80. Commonsense Knowledge Graph Completion Via Contrastive Pretraining and Node Clustering
  81. Formal Modelling for Multi-Robot Systems Under Uncertainty
  82. Investigating how ReLU-networks encode symmetries
  83. D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias
  84. SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation
  85. Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets
  86. NormBank: A Knowledge Bank of Situational Social Norms
  87. Zero-shot Visual Question Answering with Language Model Feedback
  88. Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices
  89. An Empirical Comparison of LM-based Question and Answer Generation Methods
  90. DistriBlock: Identifying adversarial audio samples by leveraging characteristics of the output distribution
  91. A Tale of Two Approximations: Tightening Over-Approximation for DNN Robustness Verification via Under-Approximation
  92. Sharp Bounds for Generalized Causal Sensitivity Analysis
  93. Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation
  94. TranSFormer: Slow-Fast Transformer for Machine Translation
  95. Adaptive PD Control using Deep Reinforcement Learning for Local-Remote Teleoperation with Stochastic Time Delays
  96. Finite Time Regret Bounds for Minimum Variance Control of Autoregressive Systems with Exogenous Inputs
  97. Maskomaly:Zero-Shot Mask Anomaly Segmentation
  98. Theoretical and Practical Perspectives on what Influence Functions Do
  99. Linear Object Detection in Document Images using Multiple Object Tracking
  100. Evaluating Open-Domain Dialogues in Latent Space with Next Sentence Prediction and Mutual Information
  101. Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection
  102. Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination
  103. MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies
  104. DisfluencyFixer: A tool to enhance Language Learning through Speech To Speech Disfluency Correction
  105. Compositional Generalization without Trees using Multiset Tagging and Latent Permutations
  106. Sentence-Incremental Neural Coreference Resolution
  107. Levin Tree Search with Context Models
  108. Learning to Imagine: Visually-Augmented Natural Language Generation
  109. Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation
  110. Finspector: A Human-Centered Visual Inspection Tool for Exploring and Comparing Biases among Foundation Models
  111. Gender Lost In Translation: How Bridging The Gap Between Languages Affects Gender Bias in Zero-Shot Multilingual Translation
  112. Representing Piecewise Linear Functions by Functions with Small Arity
  113. A Neural State-Space Model Approach to Efficient Speech Separation
  114. Combining Global and Local Merges in Logic-based Entity Resolution
  115. How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers
  116. Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency
  117. Large Language Models Are Partially Primed in Pronoun Interpretation
  118. PlaNeRF: SVD Unsupervised 3D Plane Regularization for NeRF Large-Scale Scene Reconstruction
  119. Acting as Inverse Inverse Planning
  120. Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning
  121. Universal approximation with complex-valued deep narrow neural networks
  122. CyPhERS: A Cyber-Physical Event Reasoning System providing real-time situational awareness for attack and fault response
  123. Improving Neural Additive Models with Bayesian Principles
  124. Submodular Minimax Optimization: Finding Effective Sets
  125. Generalizing Adam to Manifolds for Efficiently Training Transformers
  126. Inter-connection: Effective Connection between Pre-trained Encoder and Decoder for Speech Translation
  127. UMSE: Unified Multi-scenario Summarization Evaluation
  128. Robustness of Multi-Source MT to Transcription Errors
  129. Feature Adaptation for Sparse Linear Regression
  130. Generalization Guarantees of Gradient Descent for Multi-Layer Neural Networks
  131. Universal Weak Coreset
  132. Understanding Sparse Neural Networks from their Topology via Multipartite Graph Representations
  133. Hierarchical Verbalizer for Few-Shot Hierarchical Text Classification
  134. Argumentation Schemes for Blockchain Deanonymization
  135. Can You Solve Closest String Faster than Exhaustive Search?
  136. Distributional Reinforcement Learning with Dual Expectile-Quantile Regression
  137. Playing repeated games with Large Language Models
  138. Knowledge Extraction with Interval Temporal Logic Decision Trees
  139. Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers
  140. Neural modeling of magnetic tape recorders
  141. Scientific Fact-Checking: A Survey of Resources and Approaches
  142. Channel and Gradient-Importance Aware Device Scheduling for Over-the-Air Federated Learning
  143. Model-Based Simulation for Optimising Smart Reply
  144. Green Runner: A tool for efficient model selection from model repositories
  145. Lagrangian Flow Networks for Conservation Laws
  146. An end-to-end strategy for recovering a free-form potential from a snapshot of stellar coordinates
  147. Randomized Positional Encodings Boost Length Generalization of Transformers
  148. Differentiable Random Partition Models
  149. ChatGPT: A Study on its Utility for Ubiquitous Software Engineering Tasks
  150. A Robust Probabilistic Approach to Stochastic Subspace Identification
  151. OpenVIS: Open-vocabulary Video Instance Segmentation
  152. Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint Averaging
  153. KNSE: A Knowledge-aware Natural Language Inference Framework for Dialogue Symptom Status Recognition
  154. Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize
  155. BEV-IO: Enhancing Bird's-Eye-View 3D Detection with Instance Occupancy
  156. Prompt- and Trait Relation-aware Cross-prompt Essay Trait Scoring
  157. HUB: Guiding Learned Optimizers with Continuous Prompt Tuning
  158. Rethinking Certification for Trustworthy Machine Learning-Based Applications
  159. Domain Aligned Prefix Averaging for Domain Generalization in Abstractive Summarization
  160. With a Little Push, NLI Models can Robustly and Efficiently Predict Faithfulness
  161. Trust-Aware Resilient Control and Coordination of Connected and Automated Vehicles
  162. Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup
  163. Songs Across Borders: Singable and Controllable Neural Lyric Translation
  164. GenQ: Automated Question Generation to Support Caregivers While Reading Stories with Children
  165. Geometric deep learning approach to knot theory
  166. Do GPTs Produce Less Literal Translations?
  167. Towards Open-World Segmentation of Parts
  168. Motion-Based Sign Language Video Summarization using Curvature and Torsion
  169. To Revise or Not to Revise: Learning to Detect Improvable Claims for Argumentative Writing Support
  170. Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues
  171. Calibration of Transformer-based Models for Identifying Stress and Depression in Social Media
  172. Secure Vertical Federated Learning Under Unreliable Connectivity
  173. On the Generalization and Approximation Capacities of Neural Controlled Differential Equations
  174. Modulate Your Spectrum in Self-Supervised Learning
  175. Incorporating Distributions of Discourse Structure for Long Document Abstractive Summarization
  176. Graph Neural Convection-Diffusion with Heterophily
  177. Unleashing the Potential of Unsupervised Deep Outlier Detection through Automated Training Stopping
  178. Robust Nonparametric Regression under Poisoning Attack
  179. Towards a Common Understanding of Contributing Factors for Cross-Lingual Transfer in Multilingual Language Models: A Review
  180. Backpack Language Models
  181. StyleHumanCLIP: Text-guided Garment Manipulation for StyleGAN-Human
  182. Leveraging Domain Knowledge for Inclusive and Bias-aware Humanitarian Response Entry Classification
  183. Can large language models generate salient negative statements?
  184. ElectrodeNet -- A Deep Learning Based Sound Coding Strategy for Cochlear Implants
  185. MULTIGAIN 2.0: MDP controller synthesis for multiple mean-payoff, LTL and steady-state constraints
  186. Automating the Analysis of Institutional Design in International Agreements
  187. A Decentralized Spike-based Learning Framework for Sequential Capture in Discrete Perimeter Defense Problem
  188. CNN Feature Map Augmentation for Single-Source Domain Generalization
  189. Parameter-Efficient Fine-Tuning without Introducing New Latency
  190. Conjunct Resolution in the Face of Verbal Omissions
  191. AlignScore: Evaluating Factual Consistency with a Unified Alignment Function
  192. AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model
  193. Automatic Emotion Experiencer Recognition
  194. Evaluating generation of chaotic time series by convolutional generative adversarial networks
  195. A Novel real-time arrhythmia detection model using YOLOv8
  196. RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank
  197. Code-Switched Text Synthesis in Unseen Language Pairs
  198. People and Places of Historical Europe: Bootstrapping Annotation Pipeline and a New Corpus of Named Entities in Late Medieval Texts
  199. Shape-based pose estimation for automatic standard views of the knee
  200. ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection
  201. A Hierarchical Approach to Population Training for Human-AI Collaboration
  202. A Closer Look at In-Context Learning under Distribution Shifts
  203. Sources of Uncertainty in Supervised Machine Learning -- A Statisticians' View
  204. PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation
  205. Applying Interdisciplinary Frameworks to Understand Algorithmic Decision-Making
  206. Automatic Tuning of Loss Trade-offs without Hyper-parameter Search in End-to-End Zero-Shot Speech Synthesis
  207. Detect Any Shadow: Segment Anything for Video Shadow Detection
  208. DKAF: KB Arbitration for Learning Task-Oriented Dialog Systems with Dialog-KB Inconsistencies
  209. Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection
  210. Balanced Supervised Contrastive Learning for Few-Shot Class-Incremental Learning
  211. Act Like a Radiologist: Radiology Report Generation across Anatomical Regions
  212. Sharpend Cosine Similarity based Neural Network for Hyperspectral Image Classification
  213. CAILA: Concept-Aware Intra-Layer Adapters for Compositional Zero-Shot Learning
  214. Multiview Identifiers Enhanced Generative Retrieval
  215. A Unified Approach for Maximizing Continuous DR-submodular Functions
  216. Score-balanced Loss for Multi-aspect Pronunciation Assessment
  217. GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks
  218. Gender, Smoking History and Age Prediction from Laryngeal Images
  219. Higher Order Gauge Equivariant CNNs on Riemannian Manifolds and Applications
  220. Clustering Method for Time-Series Images Using Quantum-Inspired Computing Technology
  221. TADA: Task-Agnostic Dialect Adapters for English
  222. FSD: Fully-Specialized Detector via Neural Architecture Search
  223. Dramatic Conversation Disentanglement
  224. Summarizing Stream Data for Memory-Constrained Online Continual Learning
  225. Improving Position Encoding of Transformers for Multivariate Time Series Classification
  226. Are Fairy Tales Fair? Analyzing Gender Bias in Temporal Narrative Event Chains of Children's Fairy Tales
  227. Universal Approximation and the Topological Neural Network
  228. Adversarial Multi-task Learning for End-to-end Metaphor Detection
  229. DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions
  230. Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing
  231. Zero is Not Hero Yet: Benchmarking Zero-Shot Performance of LLMs for Financial Tasks
  232. Evaluation of Question Generation Needs More References
  233. Set-based Neural Network Encoding Without Weight Tying
  234. A Reminder of its Brittleness: Language Reward Shaping May Hinder Learning for Instruction Following Agents
  235. Pedestrian Trajectory Forecasting Using Deep Ensembles Under Sensing Uncertainty
  236. Confidence-Based Feature Imputation for Graphs with Partially Known Features
  237. Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model
  238. Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings
  239. Adaptively Perturbed Mirror Descent for Learning in Games
  240. Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine Translation
  241. NormMark: A Weakly Supervised Markov Model for Socio-cultural Norm Discovery
  242. Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models
  243. A Multi-Resolution Physics-Informed Recurrent Neural Network: Formulation and Application to Musculoskeletal Systems
  244. The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model
  245. ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation
  246. Detecting Errors in a Numerical Response via any Regression Model
  247. An Investigation of Noise in Morphological Inflection
  248. TFDet: Target-Aware Fusion for RGB-T Pedestrian Detection
  249. NLP Reproducibility For All: Understanding Experiences of Beginners
  250. Nichelle and Nancy: The Influence of Demographic Attributes and Tokenization Length on First Name Biases
  251. Exploring Weight Balancing on Long-Tailed Recognition Problem
  252. Digital Twin-Based 3D Map Management for Edge-Assisted Mobile Augmented Reality
  253. Accelerating Value Iteration with Anchoring
  254. Structured Latent Variable Models for Articulated Object Interaction
  255. Integrating Listwise Ranking into Pairwise-based Image-Text Retrieval
  256. Unsupervised Embedding Quality Evaluation
  257. Teamwork Is Not Always Good: An Empirical Study of Classifier Drift in Class-incremental Information Extraction
  258. Tree-Based Diffusion Schr"odinger Bridge with Applications to Wasserstein Barycenters
  259. LANISTR: Multimodal Learning from Structured and Unstructured Data
  260. CVB: A Video Dataset of Cattle Visual Behaviors
  261. Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization
  262. Preliminary studies: Comparing LSTM and BLSTM Deep Neural Networks for Power Consumption Prediction
  263. Inductive detection of Influence Operations via Graph Learning