mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 18 May 2023

304 papers

  1. UMDFood: Vision-language models boost food composition compilationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  2. Data Redaction from Conditional Generative ModelsLLM safety and security → Vision-language and text-to-image safety
  3. Quantifying the robustness of deep multispectral segmentation models against natural perturbations and data poisoningLLM safety and security → Backdoor and data poisoning attacks
  4. RoomDreamer: Text-Driven 3D Indoor Scene Synthesis with Coherent Geometry and TextureDiffusion models → 3D, point cloud and scene generation
  5. MALM: Mask Augmentation based Local Matching for Food-Recipe RetrievalKnowledge distillation → Multimodal distillation
  6. Massively Scalable Inverse Reinforcement Learning in Google MapsOffline RL and imitation learning from data → Inverse reinforcement learning
  7. SlotDiffusion: Object-Centric Generative Modeling with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  8. Reasoning Implicit Sentiment with Chain-of-Thought PromptingLLM reasoning → Prompting and chain-of-thought reasoning
  9. LIMA: Less Is More for AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  10. Emergent Representations of Program Semantics in Language Models Trained on ProgramsWorld models → World models for language agents
  11. UniControl: A Unified Diffusion Model for Controllable Visual Generation In the WildDiffusion models → Image generation, text-to-image and editing
  12. Attacks on Online Learners: a Teacher-Student AnalysisKnowledge distillation → Federated, robust and private distillation
  13. A Simple Generative Model of Logical Reasoning and Statistical LearningLLM reasoning → Reasoning benchmarks and evaluation
  14. Blackout Diffusion: Generative Diffusion Models in Discrete-State SpacesDiffusion models → Diffusion foundations and sampling
  15. Inspecting the Geographical Representativeness of Images from Text-to-Image ModelsDiffusion models → Image generation, text-to-image and editing
  16. Tram: A Token-level Retrieval-augmented Mechanism for Source Code SummarizationRetrieval-augmented generation → RAG for code
  17. SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational AbilitiesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  18. Unsupervised Hyperspectral Pansharpening via Low-rank Diffusion ModelDiffusion models → Inverse problems and image restoration
  19. Structural Pruning for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  20. A Generalist Dynamics Model for ControlWorld models → Latent dynamics models and model-based RL
  21. Student-friendly Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  22. Semantically Aligned Task Decomposition in Multi-Agent Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
  23. TextDiffuser: Diffusion Models as Text PaintersDiffusion models → Image generation, text-to-image and editing
  24. LDM3D: Latent Diffusion Model for 3DDiffusion models → 3D, point cloud and scene generation
  25. X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation with Visual Large Language ModelsDiffusion models → Image generation, text-to-image and editing
  26. Constructing a personalized AI assistant for shear wall layout using Stable DiffusionDiffusion models → 3D, point cloud and scene generation
  27. DiffUTE: Universal Text Editing Diffusion ModelDiffusion models → Image generation, text-to-image and editing
  28. Diffusion Language Models Generation Can Be Halted EarlyDiffusion models → Discrete and text diffusion
  29. MedBLIP: Bootstrapping Language-Image Pre-training from 3D Medical Images and TextsMultimodal LLMs / vision-language models → Medical vision-language models +1
  30. Brain Imaging-to-Graph Generation using Adversarial Hierarchical Diffusion Models for MCI Causality AnalysisDiffusion models → Medical imaging and segmentation
  31. Diffusion-Based Speech Enhancement with Joint Generative and Predictive DecodersDiffusion models → Audio, speech and music
  32. Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language LearnersDiffusion models → Image generation, text-to-image and editing
  33. Vision-Language Pre-training with Object Contrastive Learning for 3D Scene UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  34. Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  35. Dirichlet Diffusion Score Model for Biological Sequence GenerationDiffusion models → Flow matching, time series and science
  36. Think Outside the Code: Brainstorming Boosts Large Language Models in Code GenerationLLM reasoning → Reasoning for agents, planning and code
  37. PTQD: Accurate Post-Training Quantization for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  38. Language Models Meet World Models: Embodied Experiences Enhance Language ModelsWorld models → World models for language agents
  39. DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule Graphs
  40. Chainlet Orbits: Topological Address Embedding for the Bitcoin Blockchain
  41. Neural Algorithmic Reasoning for Combinatorial Optimisation
  42. Pre-training Tensor-Train Networks Facilitates Machine Learning with Variational Quantum Circuits
  43. Neural Bee Colony Optimization: A Case Study in Public Transit Network Design
  44. Balancing Test Accuracy and Security in Computerized Adaptive Testing
  45. Temporal Aware Mixed Attention-based Convolution and Transformer Network (MACTN) for EEG Emotion Recognition
  46. Learning low-dimensional dynamics from whole-brain data improves task capture
  47. Support for Stock Trend Prediction Using Transformers and Sentiment Analysis
  48. Classification of Orbits in Poincar'e Maps using Machine Learning
  49. Decoding Emotional Trajectories: A Temporal-Semantic Network Approach for Latent Depression Assessment in Social Media
  50. Interpretable neural architecture search and transfer learning for understanding CRISPR/Cas9 off-target enzymatic reactions
  51. PINNs error estimates for nonlinear equations in ℝ-smooth Banach spaces
  52. Machine learning for phase-resolved reconstruction of nonlinear ocean wave surface elevations from sparse remote sensing data
  53. Unsupervised Domain-agnostic Fake News Detection using Multi-modal Weak Signals
  54. In the Name of Fairness: Assessing the Bias in Clinical Record De-identification
  55. Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models
  56. Coordinated Transformer with Position & Sample-aware Central Loss for Anatomical Landmark Detection
  57. Writing your own book: A method for going from closed to open book QA to improve robustness and performance of smaller LLMs
  58. Automatic Generation of Conversational Interfaces for Tabular Data Analysis
  59. Knowing When to Stop: Delay-Adaptive Spiking Neural Network Classifiers with Reliability Guarantees
  60. JoIN: Joint GANs Inversion for Intrinsic Image Decomposition
  61. Parameter-Efficient Learning for Text-to-Speech Accent Adaptation
  62. Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation
  63. Improving Toponym Resolution with Better Candidate Generation, Transformer-based Reranking, and Two-Stage Resolution
  64. BELLA: Black box model Explanations by Local Linear Approximations
  65. AMII: Adaptive Multimodal Inter-personal and Intra-personal Model for Adapted Behavior Synthesis
  66. MCD: A Model-Agnostic Counterfactual Search Method For Multi-modal Design Modifications
  67. Bayesian Risk-Averse Q-Learning with Streaming Observations
  68. Solving probability puzzles with logic toolkit
  69. Multi-Fidelity Machine Learning for Excited State Energies of Molecules
  70. Riemannian Multinomial Logistics Regression for SPD Neural Networks
  71. Federated learning for secure development of AI models for Parkinson's disease detection using speech from different languages
  72. On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation
  73. Real-Time Variational Method for Learning Neural Trajectory and its Dynamics
  74. Explaining V1 Properties with a Biologically Constrained Deep Learning Architecture
  75. Towards Collaborative Plan Acquisition through Theory of Mind Modeling in Situated Dialogue
  76. Multi-Focus Image Fusion Based on Spatial Frequency(SF) and Consistency Verification(CV) in DCT Domain
  77. CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models
  78. Constrained Environment Optimization for Prioritized Multi-Agent Navigation
  79. Robust Quantum Controllers: Quantum Information -- Thermodynamic Hidden Force Control in Intelligent Robotics based on Quantum Soft Computing
  80. Brain-inspired learning in artificial neural networks: a review
  81. Computational thematics: Comparing algorithms for clustering the genres of literary fiction
  82. A Parameter-Efficient Learning Approach to Arabic Dialect Identification with Pre-Trained General-Purpose Speech Model
  83. Comparing Machines and Children: Using Developmental Psychology Experiments to Assess the Strengths and Weaknesses of LaMDA Responses
  84. Comparing Biases and the Impact of Multilingual Training across Multiple Languages
  85. Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison
  86. Efficient Vertical Federated Learning with Secure Aggregation
  87. Recent Trends in Unsupervised Summarization
  88. Information-Ordered Bottlenecks for Adaptive Semantic Compression
  89. PDP: Parameter-free Differentiable Pruning is All You Need
  90. At-Admission Prediction of Mortality and Pulmonary Embolism in COVID-19 Patients Using Statistical and Machine Learning Methods: An International Cohort Study
  91. Prediction with Incomplete Data under Agnostic Mask Distribution Shift
  92. DClEVerNet: Deep Combinatorial Learning for Efficient EV Charging Scheduling in Large-scale Networked Facilities
  93. Vaxformer: Antigenicity-controlled Transformer for Vaccine Design Against SARS-CoV-2
  94. Towards Generalizable Data Protection With Transferable Unlearnable Examples
  95. Taxonomy of AISecOps Threat Modeling for Cloud Based Medical Chatbots
  96. Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model
  97. VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks
  98. Going Denser with Open-Vocabulary Part Segmentation
  99. ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities
  100. TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models
All 304
  1. Efficient Prompting via Dynamic In-Context Learning
  2. MVPSNet: Fast Generalizable Multi-view Photometric Stereo
  3. The noise level in linear regression with dependent data
  4. Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository Mining Study
  5. Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors
  6. Discourse Centric Evaluation of Machine Translation with a Densely Annotated Parallel Corpus
  7. Clifford Group Equivariant Neural Networks
  8. Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model
  9. Parallel development of social preferences in fish and machines
  10. Convergence Analysis of Over-the-Air FL with Compression and Power Control via Clipping
  11. SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation
  12. mLongT5: A Multilingual and Efficient Text-To-Text Transformer for Longer Sequences
  13. Skin Lesion Diagnosis Using Convolutional Neural Networks
  14. Autonomous sputter synthesis of thin film nitrides with composition controlled by Bayesian optimization of optical plasma emission
  15. A Compound Gaussian Least Squares Algorithm and Unrolled Network for Linear Inverse Problems
  16. LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation
  17. PPDONet: Deep Operator Networks for Fast Prediction of Steady-State Solutions in Disk-Planet Systems
  18. MiraBest: A Dataset of Morphologically Classified Radio Galaxies for Machine Learning
  19. From Data-Fitting to Discovery: Interpreting the Neural Dynamics of Motor Control through Reinforcement Learning
  20. mdctGAN: Taming transformer-based GAN for speech super-resolution with Modified DCT spectra
  21. Progressive Learning of 3D Reconstruction Network from 2D GAN Data
  22. XFormer: Fast and Accurate Monocular 3D Body Capture
  23. Statistical Foundations of Prior-Data Fitted Networks
  24. Cross-modality Data Augmentation for End-to-End Sign Language Translation
  25. Prompting the Hidden Talent of Web-Scale Speech Models for Zero-Shot Task Generalization
  26. QPGesture: Quantization-Based and Phase-Guided Motion Matching for Natural Speech-Driven Gesture Generation
  27. Universal Domain Adaptation from Foundation Models: A Baseline Study
  28. Lightweight Online Learning for Sets of Related Problems in Automated Reasoning
  29. Preference or Intent? Double Disentangled Collaborative Filtering
  30. A Comparative Study of Face Detection Algorithms for Masked Face Detection
  31. A Comparative Study on E-Branchformer vs Conformer in Speech Recognition, Translation, and Understanding Tasks
  32. Self-supervised Fine-tuning for Improved Content Representations by Speaker-invariant Clustering
  33. PETAL: Physics Emulation Through Averaged Linearizations for Solving Inverse Problems
  34. Small noise analysis for Tikhonov and RKHS regularizations
  35. BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval
  36. The Water Health Open Knowledge Graph
  37. NODE-ImgNet: a PDE-informed effective and robust model for image denoising
  38. Difference of Submodular Minimization via DC Programming
  39. A unified framework for information-theoretic generalization bounds
  40. High-dimensional Asymptotics of Denoising Autoencoders
  41. Simulation of a Variational Quantum Perceptron using Grover's Algorithm
  42. Deep PackGen: A Deep Reinforcement Learning Framework for Adversarial Network Packet Generation
  43. Learning In-context Learning for Named Entity Recognition
  44. Trading Syntax Trees for Wordpieces: Target-oriented Opinion Words Extraction with Wordpieces and Aspect Enhancement
  45. Visual Question Answering: A Survey on Techniques and Common Trends in Recent Literature
  46. Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL
  47. ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis
  48. Uncertainty Guided Label Denoising for Document-level Distant Relation Extraction
  49. CDIDN: A Registration Model with High Deformation Impedance Capability for Long-Term Tracking of Pulmonary Lesion Dynamics
  50. Generalized Multiple Intent Conditioned Slot Filling
  51. Massively Parallel Reweighted Wake-Sleep
  52. Annotation-free Audio-Visual Segmentation
  53. Deep Metric Tensor Regularized Policy Gradient
  54. Silver Syntax Pre-training for Cross-Domain Relation Extraction
  55. Generalized Planning in PDDL Domains with Pretrained Large Language Models
  56. FunASR: A Fundamental End-to-End Speech Recognition Toolkit
  57. SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation
  58. Mode Connectivity in Auction Design
  59. Insert or Attach: Taxonomy Completion via Box Embedding
  60. Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping
  61. Dynamic Term Structure Models with Nonlinearities using Gaussian Processes
  62. The Web Can Be Your Oyster for Improving Large Language Models
  63. Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks
  64. Graphical vs. Deep Generative Models: Measuring the Impact of Differentially Private Mechanisms and Budgets on Utility
  65. How does the task complexity of masked pretraining objectives affect downstream performance?
  66. Less is More! A slim architecture for optimal language translation
  67. SPENSER: Towards a NeuroEvolutionary Approach for Convolutional Spiking Neural Networks
  68. Multi-CrossRE A Multi-Lingual Multi-Domain Dataset for Relation Extraction
  69. Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment
  70. Client Selection for Federated Policy Optimization with Environment Heterogeneity
  71. Benchmarking Deep Learning Frameworks for Automated Diagnosis of Ocular Toxoplasmosis: A Comprehensive Approach to Classification and Segmentation
  72. MonoTDP: Twin Depth Perception for Monocular 3D Object Detection in Adverse Scenes
  73. Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
  74. Participatory Budgeting With Multiple Degrees of Projects And Ranged Approval Votes
  75. NollySenti: Leveraging Transfer Learning and Machine Translation for Nigerian Movie Sentiment Classification
  76. Learning Activation Functions for Sparse Neural Networks
  77. Prevention is better than cure: a case study of the abnormalities detection in the chest
  78. A Virtual Reality Teleoperation Interface for Industrial Robot Manipulators
  79. Actor-Critic Methods using Physics-Informed Neural Networks: Control of a 1D PDE Model for Fluid-Cooled Battery Packs
  80. Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation
  81. Revisiting 16-bit Neural Network Training: A Practical Approach for Resource-Limited Learning
  82. A method for the ethical analysis of brain-inspired AI
  83. Lyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered by Reconfigurable Intelligent Surfaces
  84. On the Off-Target Problem of Zero-Shot Multilingual Neural Machine Translation
  85. Architecture-agnostic Iterative Black-box Certified Defense against Adversarial Patches
  86. Multilingual Event Extraction from Historical Newspaper Adverts
  87. Causal Document-Grounded Dialogue Pre-training
  88. HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypes
  89. Query Performance Prediction: From Ad-hoc to Conversational Search
  90. Emergent Communication with Attention
  91. From the Lab to the Wild: Affect Modeling via Privileged Information
  92. Weakly-Supervised Visual-Textual Grounding with Semantic Prior Refinement
  93. Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation
  94. RobustFair: Adversarial Evaluation through Fairness Confusion Directed Gradient Search
  95. Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark
  96. Estimation Beyond Data Reweighting: Kernel Method of Moments
  97. EventNet-ITA: Italian Frame Parsing for Events
  98. FLIGHT Mode On: A Feather-Light Network for Low-Light Image Enhancement
  99. Minimum-Risk Recalibration of Classifiers
  100. Meta-Auxiliary Network for 3D GAN Inversion
  101. Domain Adaptive Sim-to-Real Segmentation of Oropharyngeal Organs
  102. StawGAN: Structural-Aware Generative Adversarial Networks for Infrared Image Translation
  103. Functional sufficient dimension reduction through information maximization with application to classification
  104. Swap Attention in Spatiotemporal Diffusions for Text-to-Video Generation
  105. Free Lunch for Privacy Preserving Distributed Graph Learning
  106. Advancing Incremental Few-shot Semantic Segmentation via Semantic-guided Relation Alignment and Adaptation
  107. TEPrompt: Task Enlightenment Prompt Learning for Implicit Discourse Relation Recognition
  108. Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness
  109. How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses
  110. Spatial-Frequency Discriminability for Revealing Adversarial Perturbations
  111. 3D Registration with Maximal Cliques
  112. Q-SHED: Distributed Optimization at the Edge via Hessian Eigenvectors Quantization
  113. Advancing Full-Text Search Lemmatization Techniques with Paradigm Retrieval from OpenCorpora
  114. Large Language Models can be Guided to Evade AI-Generated Text Detection
  115. Non-deterministic approximation operators: ultimate operators, semi-equilibrium semantics and aggregates (full version)
  116. TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass Model
  117. GETMusic: Generating Any Music Tracks with a Unified Representation and Diffusion Framework
  118. Uncertainty Quantification in Deep Neural Networks through Statistical Inference on Latent Space
  119. A Lexical-aware Non-autoregressive Transformer-based ASR Model
  120. ProgSG: Cross-Modality Representation Learning for Programs in Electronic Design Automation
  121. Ahead-of-Time P-Tuning
  122. AIwriting: Relations Between Image Generation and Digital Writing
  123. Deep Learning Methods for Extracting Metaphorical Names of Flowers and Plants
  124. Expanding the Role of Affective Phenomena in Multimodal Interaction Research
  125. Integrating Item Relevance in Training Loss for Sequential Recommender Systems
  126. FastFit: Towards Real-Time Iterative Neural Vocoder by Replacing U-Net Encoder With Multiple STFTs
  127. When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation
  128. CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction
  129. CS-TRD: a Cross Sections Tree Ring Detection method
  130. Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose
  131. Transformer-based Variable-rate Image Compression with Region-of-interest Control
  132. Selecting Learnable Training Samples is All DETRs Need in Crowded Pedestrian Detection
  133. Multi-spectral Class Center Network for Face Manipulation Detection and Localization
  134. DQ-Whisper: Joint Distillation and Quantization for Efficient Multilingual Speech Recognition
  135. Ditto: A Simple and Efficient Approach to Improve Sentence Embeddings
  136. Transforming Human-Centered AI Collaboration: Redefining Embodied Agents Capabilities through Interactive Grounded Language Instructions
  137. Human Behavioral Benchmarking: Numeric Magnitude Comparison Effects in Large Language Models
  138. Enhancing Speech Articulation Analysis using a Geometric Transformation of the X-ray Microbeam Dataset
  139. Rate-Adaptive Coding Mechanism for Semantic Communications With Multi-Modal Data
  140. Feature-Balanced Loss for Long-Tailed Visual Recognition
  141. Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph
  142. Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling
  143. Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend
  144. OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding
  145. Automatic Design Method of Building Pipeline Layout Based on Deep Reinforcement Learning
  146. Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework
  147. Physics Inspired Approaches To Understanding Gaussian Processes
  148. Online Resource Allocation in Episodic Markov Decision Processes
  149. A benchmark for computational analysis of animal behavior, using animal-borne tags
  150. Deep Temporal Graph Clustering
  151. Counterfactual Debiasing for Generating Factually Consistent Text Summaries
  152. BlindHarmony: "Blind" Harmonization for MR Images via Flow model
  153. Analyzing Norm Violations in Live-Stream Chat
  154. Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination
  155. Boost Vision Transformer with GPU-Friendly Sparsity and Quantization
  156. Ambient Technology & Intelligence
  157. Segment Any Anomaly without Training via Hybrid Prompt Regularization
  158. Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping
  159. Discounted Thompson Sampling for Non-Stationary Bandit Problems
  160. A Survey on Time-Series Pre-Trained Models
  161. Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency
  162. NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing
  163. Machine Learning Recommendation System For Health Insurance Decision Making In Nigeria
  164. A Framework Based on Symbolic Regression Coupled with eXtended Physics-Informed Neural Networks for Gray-Box Learning of Equations of Motion from Data
  165. ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval
  166. Ranking the locations and predicting future crime occurrence by retrieving news from different Bangla online newspapers
  167. The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond
  168. Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance
  169. Gated Deeper Models are Effective Factor Learners
  170. Re-thinking Data Availablity Attacks Against Deep Neural Networks
  171. Sampling, Diffusions, and Stochastic Localization
  172. MolXPT: Wrapping Molecules with Text for Generative Pre-training
  173. RMSSinger: Realistic-Music-Score based Singing Voice Synthesis
  174. Paxion: Patching Action Knowledge in Video-Language Foundation Models
  175. Black-Box Targeted Reward Poisoning Attack Against Online Deep Reinforcement Learning
  176. Accurate and Reliable Confidence Estimation Based on Non-Autoregressive End-to-End Speech Recognition System
  177. Tuned Contrastive Learning
  178. Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs
  179. MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection
  180. A unified front-end framework for English text-to-speech synthesis
  181. Content-based Unrestricted Adversarial Attack
  182. Posterior Inference on Shallow Infinitely Wide Bayesian Neural Networks under Weights with Unbounded Variance
  183. Private Gradient Estimation is Useful for Generative Modeling
  184. Scribble-Supervised Target Extraction Method Based on Inner Structure-Constraint for Remote Sensing Images
  185. Use of Speech Impairment Severity for Dysarthric Speech Recognition
  186. DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images
  187. Clarifying System 1 & 2 through the Common Model of Cognition
  188. Speech Separation based on Contrastive Learning and Deep Modularization
  189. ZeroPrompt: Streaming Acoustic Encoders are Zero-Shot Masked LMs
  190. Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition
  191. BioAug: Conditional Generation based Data Augmentation for Low-Resource Biomedical NER
  192. Ethical ChatGPT: Concerns, Challenges, and Commandments
  193. Are Large Language Models Fit For Guided Reading?
  194. STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional Settings
  195. Learning Restoration is Not Enough: Transfering Identical Mapping for Single-Image Shadow Removal
  196. Disentangled Causal Graph Learning for Online Unsupervised Root Cause Analysis
  197. Augmented Message Passing Stein Variational Gradient Descent
  198. Modified Gauss-Newton Algorithms under Noise
  199. Smoothing the Landscape Boosts the Signal for SGD: Optimal Sample Complexity for Learning Single Index Models
  200. An image segmentation algorithm based on multi-scale feature pyramid network
  201. Measuring and Mitigating Local Instability in Deep Neural Networks
  202. The star-shaped space of solutions of the spherical negative perceptron
  203. Evaluation Metrics for DNNs Compression
  204. ML-SUPERB: Multilingual Speech Universal PERformance Benchmark