mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 19 Oct 2023

269 papers

  1. PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware PretrainingDiffusion models → Robustness, privacy and adversarial aspects
  2. CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image ManipulationDiffusion models → Image generation, text-to-image and editing
  3. Conditional Generative Modeling for Images, 3D Animations, and VideoDiffusion models → Diffusion foundations and sampling
  4. LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task LearningEnd-to-end autonomous driving → End-to-end system architecture
  5. Semi-Supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model ApproachKnowledge distillation → General knowledge distillation methods
  6. Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  7. How Can Everyday Users Efficiently Teach Robots by Demonstrations?Offline RL and imitation learning from data → Robot learning from demonstration
  8. NeuroSMPC: A Neural Network guided Sampling Based MPC for On-Road Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  9. Creative Robot Tool Use with Large Language ModelsLLM agents and tool use → Multimodal and embodied agents
  10. Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language UnderstandingSynthetic data and self-improvement for LLMs → Self-training for few-shot NLP
  11. CCIL: Continuity-based Data Augmentation for Corrective Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
  12. Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose EncodingWorld models → World models for autonomous driving
  13. Towards Robust Offline Reinforcement Learning under Diverse Data CorruptionOffline RL and imitation learning from data → Offline RL algorithms
  14. Eureka: Human-Level Reward Design via Coding Large Language ModelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  15. Vision-Language Models are Zero-Shot Reward Models for Reinforcement LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
  16. DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion ModelDiffusion models → Medical imaging and segmentation
  17. PUMA: Deep Metric Imitation Learning for Stable Motion PrimitivesOffline RL and imitation learning from data → Robot manipulation imitation learning
  18. AgentTuning: Enabling Generalized Agent Abilities for LLMsLLM agents and tool use → General LLM agent frameworks and benchmarks
  19. GestureGPT: Toward Zero-Shot Free-Form Hand Gesture Understanding with Large Language Model AgentsLLM agents and tool use → Multimodal and embodied agents
  20. Formalizing and Benchmarking Prompt Injection Attacks and DefensesLLM safety and security → Prompt injection and agent security
  21. Safe RLHF: Safe Reinforcement Learning from Human FeedbackLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
  22. Energy-Based Models For Speech SynthesisDiffusion models → Audio, speech and music
  23. Character-level Chinese Backpack Language ModelsMechanistic interpretability → Knowledge and representations inside LLMs
  24. TabuLa: Harnessing Language Models for Tabular Data SynthesisSynthetic data and self-improvement for LLMs → Privacy-preserving tabular data synthesis
  25. Learn from the Past: A Proxy Guided Adversarial Defense Framework with Self Distillation RegularizationKnowledge distillation → Federated, robust and private distillation
  26. Neurosymbolic Grounding for Compositional World ModelsWorld models → Latent predictive world models
  27. SecurityNet: Assessing Machine Learning Vulnerabilities on Public ModelsLLM safety and security → Backdoor and data poisoning attacks
  28. Product of Gaussian Mixture Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  29. How a student becomes a teacher: learning and forgetting through Spectral methodsKnowledge distillation → General knowledge distillation methods
  30. Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion PlanningDiffusion models → Diffusion and flow policies for robotics
  31. Diverse Diffusion: Enhancing Image Diversity in Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
  32. Fast Model Debias with Machine UnlearningLLM safety and security → Machine unlearning
  33. DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in TextLLM reasoning → Spatial and embodied reasoning
  34. ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial AttacksRetrieval-augmented generation → Hallucination detection in RAG
  35. SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and GenerationDiffusion models → Robustness, privacy and adversarial aspects +1
  36. Attack Prompt Generation for Red Teaming and Defending Large Language ModelsLLM safety and security → Prompt injection and agent security
  37. Rethinking the Construction of Effective Metrics for Understanding the Mechanisms of Pretrained Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  38. PoisonPrompt: Backdoor Attack on Prompt-based Large Language ModelsLLM safety and security → Backdoor and data poisoning attacks
  39. CAT: Closed-loop Adversarial Training for Safe End-to-End DrivingEnd-to-end autonomous driving → Adversarial scenarios and safety testing
  40. MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
  41. GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning ProblemsLLM reasoning → Knowledge- and tool-augmented reasoning
  42. Closed-Form Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  43. Proceedings of the 3rd International Workshop on Mining and Learning in the Legal Domain (MLLD-23)
  44. Exploring Large Language Models as a Source of Common-Sense Knowledge for Robots
  45. Benchmarking GPUs on SVBRDF Extractor Model
  46. Training binary neural networks without floating point precision
  47. Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring across Edge Devices
  48. RTNH+: Enhanced 4D Radar Object Detection Network using Combined CFAR-based Two-level Preprocessing and Vertical Encoding
  49. Reducing Uncertainty in Sea-level Rise Prediction: A Spatial-variability-aware Approach
  50. On existence, uniqueness and scalability of adversarial robustness measures for AI classifiers
  51. Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots
  52. Enhancing Open-World Bacterial Raman Spectra Identification by Feature Regularization for Improved Resilience against Unknown Classes
  53. A Deep Learning Analysis of Climate Change, Innovation, and Uncertainty
  54. A Car Model Identification System for Streamlining the Automobile Sales Process
  55. NameGuess: Column Name Expansion for Tabular Data
  56. End-to-End Heterogeneous Graph Neural Networks for Traffic Assignment
  57. The Opaque Law of Artificial Intelligence
  58. Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models
  59. Fast and Accurate Factual Inconsistency Detection Over Long Documents
  60. Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection
  61. Almost Equivariance via Lie Algebra Convolutions
  62. A Distributed Approach to Meteorological Predictions: Addressing Data Imbalance in Precipitation Prediction Models through Federated Learning and GANs
  63. CLIFT: Analysing Natural Distribution Shift on Question Answering Models in Clinical Domain
  64. The logic of rational graph neural networks
  65. Mean Estimation Under Heterogeneous Privacy Demands
  66. Approaches for Uncertainty Quantification of AI-predicted Material Properties: A Comparison
  67. Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries
  68. Deep Reinforcement Learning-based Intelligent Traffic Signal Controls with Optimized CO2 emissions
  69. Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models
  70. Fuel Consumption Prediction for a Passenger Ferry using Machine Learning and In-service Data: A Comparative Study
  71. Understanding Addition in Transformers
  72. RSAdapter: Adapting Multimodal Models for Remote Sensing Visual Question Answering
  73. DreamSpace: Dreaming Your Room Space with Text-Driven Panoramic Texture Propagation
  74. Streamlining Brain Tumor Classification with Custom Transfer Learning in MRI Images
  75. Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model
  76. AVTENet: A Human-Cognition-Inspired Audio-Visual Transformer-Based Ensemble Network for Video Deepfake Detection
  77. No offence, Bert -- I insult only humans! Multiple addressees sentence-level attack on toxicity detection neural network
  78. SRAI: Towards Standardization of Geospatial AI
  79. A Multi-Stage Temporal Convolutional Network for Volleyball Jumps Classification Using a Waist-Mounted IMU
  80. Do Language Models Learn about Legal Entity Types during Pretraining?
  81. Sequence Length Independent Norm-Based Generalization Bounds for Transformers
  82. Unsupervised Representation Learning to Aid Semi-Supervised Meta Learning
  83. From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed Dialogues
  84. PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses
  85. On the Computational Complexities of Complex-valued Neural Networks
  86. Using Logic Programming and Kernel-Grouping for Improving Interpretability of Convolutional Neural Networks
  87. GARI: Graph Attention for Relative Isomorphism of Arabic Word Embeddings
  88. To grok or not to grok: Disentangling generalization and memorization on corrupted algorithmic datasets
  89. Interpreting CLIP: Insights on the Robustness to ImageNet Distribution Shifts
  90. Human Pose-based Estimation, Tracking and Action Recognition with Deep Learning: A Survey
  91. Agri-GNN: A Novel Genotypic-Topological Graph Neural Network Framework Built on GraphSAGE for Optimized Yield Prediction
  92. LASER: Linear Compression in Wireless Distributed Optimization
  93. Quality-Diversity through AI Feedback
  94. A Use Case: Reformulating Query Rewriting as a Statistical Machine Translation Problem
  95. SIRe-IR: Inverse Rendering for BRDF Reconstruction with Shadow and Illumination Removal in High-Illuminance Scenes
  96. Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series
  97. Reliable Academic Conference Question Answering: A Study Based on Large Language Model
  98. Be Bayesian by Attachments to Catch More Uncertainty
  99. Weakly-Supervised Semantic Segmentation with Image-Level Labels: from Traditional Models to Foundation Models
  100. Powerset multi-class cross entropy loss for neural speaker diarization
All 269
  1. Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompt
  2. GraphGPT: Graph Instruction Tuning for Large Language Models
  3. AI for Mathematics: A Cognitive Science Perspective
  4. Putting the Object Back into Video Object Segmentation
  5. HumanTOMATO: Text-aligned Whole-body Motion Generation
  6. Training Dynamics of Deep Network Linear Regions
  7. Exploring Invariance in Images through One-way Wave Equations
  8. Variational Inference for SDEs Driven by Fractional Noise
  9. FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects
  10. Frozen Transformers in Language Models Are Effective Visual Encoder Layers
  11. CLAIR: Evaluating Image Captions with Large Language Models
  12. Demystifying the Myths and Legends of Nonconvex Convergence of SGD
  13. Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning
  14. PAC Prediction Sets Under Label Shift
  15. AutoMix: Automatically Mixing Language Models
  16. An Emulator for Fine-Tuning Large Language Models using Small Language Models
  17. SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving
  18. Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems
  19. Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation
  20. Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning
  21. 3D-GPT: Procedural 3D Modeling with Large Language Models
  22. On the Representational Capacity of Recurrent Neural Language Models
  23. The Foundation Model Transparency Index
  24. A Predictive Factor Analysis of Social Biases and Task-Performance in Pretrained Masked Language Models
  25. Generative Flow Networks as Entropy-Regularized RL
  26. Probabilistic Modeling of Human Teams to Infer False Beliefs
  27. Digital Twin-Enabled Intelligent DDoS Detection Mechanism for Autonomous Core Networks
  28. Generative Marginalization Models
  29. Network-Aware AutoML Framework for Software-Defined Sensor Networks
  30. Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey
  31. Experimental Narratives: A Comparison of Human Crowdsourced Storytelling and AI Storytelling
  32. Personalized human mobility prediction for HuMob challenge
  33. Blind quantum machine learning with quantum bipartite correlator
  34. A Systematic Study of Performance Disparities in Multilingual Task-Oriented Dialogue Systems
  35. Sequential Gibbs Posteriors with Applications to Principal Component Analysis
  36. TwinPot: Digital Twin-assisted Honeypot for Cyber-Secure Smart Seaports
  37. Perceptual Assessment and Optimization of HDR Image Rendering
  38. StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding
  39. Predicting Ovarian Cancer Treatment Response in Histopathology using Hierarchical Vision Transformers and Multiple Instance Learning
  40. The Locality and Symmetry of Positional Encodings
  41. Fine-Tuning Generative Models as an Inference Method for Robotic Tasks
  42. Probing LLMs for hate speech detection: strengths and vulnerabilities
  43. Audio Editing with Non-Rigid Text Prompts
  44. EmoDiarize: Speaker Diarization and Emotion Identification from Speech Signals using Convolutional Neural Networks
  45. Neural Degradation Representation Learning for All-In-One Image Restoration
  46. Physical Information Neural Networks for Solving High-index Differential-algebraic Equation Systems Based on Radau Methods
  47. Model-agnostic variable importance for predictive uncertainty: an entropy-based approach
  48. Knowledge-Augmented Language Model Verification
  49. Generating collective counterfactual explanations in score-based classification via mathematical optimization
  50. Hybrid Search for Efficient Planning with Completeness Guarantees
  51. Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models
  52. 2D-3D Interlaced Transformer for Point Cloud Segmentation with Scene-Level Supervision
  53. Hierarchical Forecasting at Scale
  54. Model Merging by Uncertainty-Based Gradient Matching
  55. DCSI -- An improved measure of cluster separability based on separation and connectedness
  56. Detection and Evaluation of bias-inducing Features in Machine learning
  57. Differentiable Vertex Fitting for Jet Flavour Tagging
  58. Data Augmentations for Improved (Large) Language Model Generalization
  59. An effective theory of collective deep learning
  60. Exploring Graph Neural Networks for Indian Legal Judgment Prediction
  61. MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter
  62. Are Structural Concepts Universal in Transformer Language Models? Towards Interpretable Cross-Lingual Generalization
  63. OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift
  64. Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection
  65. DT/MARS-CycleGAN: Improved Object Detection for MARS Phenotyping Robot
  66. A Theoretical Approach to Characterize the Accuracy-Fairness Trade-off Pareto Frontier
  67. Simulation-based Bayesian Inference from Privacy Protected Data
  68. Label-Aware Automatic Verbalizer for Few-Shot Text Classification
  69. Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning
  70. Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping
  71. SemantIC: Semantic Interference Cancellation Towards 6G Wireless Communications
  72. Transformer-based Entity Legal Form Classification
  73. Minimalist and High-Performance Semantic Segmentation with Plain Vision Transformers
  74. Discretize Relaxed Solution of Spectral Clustering via a Non-Heuristic Algorithm
  75. Canonical normalizing flows for manifold learning
  76. ExtSwap: Leveraging Extended Latent Mapper for Generating High Quality Face Swapping
  77. Multiscale Motion-Aware and Spatial-Temporal-Channel Contextual Coding Network for Learned Video Compression
  78. Representing and Computing Uncertainty in Phonological Reconstruction
  79. Query-aware Long Video Localization and Relation Discrimination for Deep Video Understanding
  80. Generating Robust Adversarial Examples against Online Social Networks (OSNs)
  81. Recoverable Privacy-Preserving Image Classification through Noise-like Adversarial Examples
  82. Exploiting Low-confidence Pseudo-labels for Source-free Object Detection
  83. Representation Learning via Consistent Assignment of Views over Random Partitions
  84. Compression of Recurrent Neural Networks using Matrix Factorization
  85. On the Optimization and Generalization of Multi-head Attention
  86. TapMo: Shape-aware Motion Generation of Skeleton-free Characters
  87. Case-level Breast Cancer Prediction for Real Hospital Settings
  88. Neural networks for insurance pricing with frequency and severity data: a benchmark study from data preprocessing to technical tariff
  89. STANLEY: Stochastic Gradient Anisotropic Langevin Dynamics for Learning Energy-Based Models
  90. Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing
  91. Knowledge from Uncertainty in Evidential Deep Learning
  92. Gradient Descent Fails to Learn High-frequency Functions and Modular Arithmetic
  93. Towards Real-World Streaming Speech Translation for Code-Switched Speech
  94. TRUSTED: The Paired 3D Transabdominal Ultrasound and CT Human Data for Kidney Segmentation and Registration Research
  95. Non-Autoregressive Sentence Ordering
  96. PSYCHIC: A Neuro-Symbolic Framework for Knowledge Graph Question-Answering Grounding
  97. Towards a Deep Learning-based Online Quality Prediction System for Welding Processes
  98. Inverse renormalization group of spin glasses
  99. Heart Disease Detection using Vision-Based Transformer Models from ECG Images
  100. Online Combinatorial Linear Optimization via a Frank-Wolfe-based Metarounding Algorithm
  101. Predict the Future from the Past? On the Temporal Data Distribution Shift in Financial Sentiment Classifications
  102. Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical Maps
  103. Identifying and Adapting Transformer-Components Responsible for Gender Bias in an English Language Model
  104. FUSC: Fetal Ultrasound Semantic Clustering of Second Trimester Scans Using Deep Self-supervised Learning
  105. Bayesian Meta-Learning for Improving Generalizability of Health Prediction Models With Similar Causal Mechanisms
  106. PrivacyGAN: robust generative image privacy
  107. Time-Aware Representation Learning for Time-Sensitive Question Answering
  108. Pretraining Language Models with Text-Attributed Heterogeneous Graphs
  109. Multilingual estimation of political-party positioning: From label aggregation to long-input Transformers
  110. A reproducible 3D convolutional neural network with dual attention module (3D-DAM) for Alzheimer's disease classification
  111. DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image Segmentation
  112. Julearn: an easy-to-use library for leakage-free evaluation and inspection of ML models
  113. Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark
  114. Open-World Lifelong Graph Learning
  115. Approximate information maximization for bandit games
  116. Click on Mask: A Labor-efficient Annotation Framework with Level Set for Infrared Small Target Detection
  117. Large Language Models Help Humans Verify Truthfulness -- Except When They Are Convincingly Wrong
  118. Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers
  119. PGA: Personalizing Grasping Agents with Single Human-Robot Interaction
  120. Neural Likelihood Approximation for Integer Valued Time Series Data
  121. Large Language Model for Multi-objective Evolutionary Optimization
  122. ExtractGPT: Exploring the Potential of Large Language Models for Product Attribute Value Extraction
  123. ICU: Conquering Language Barriers in Vision-and-Language Modeling by Dividing the Tasks into Image Captioning and Language Understanding
  124. Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers
  125. Testing the Consistency of Performance Scores Reported for Binary Classification Problems
  126. Parallel Bayesian Optimization Using Satisficing Thompson Sampling for Time-Sensitive Black-Box Optimization
  127. Named Entity Recognition for Monitoring Plant Health Threats in Tweets: a ChouBERT Approach
  128. Lost in Translation: When GPT-4V(ision) Can't See Eye to Eye with Text. A Vision-Language-Consistency Analysis of VLLMs and Beyond
  129. WeaveNet for Approximating Two-sided Matching Problems
  130. Machine Learning for Leaf Disease Classification: Data, Techniques and Applications
  131. American Option Pricing using Self-Attention GRU and Shapley Value Interpretation
  132. Quasi Manhattan Wasserstein Distance
  133. SDGym: Low-Code Reinforcement Learning Environments using System Dynamics Models
  134. Co2PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning
  135. MedAI Dialog Corpus (MEDIC): Zero-Shot Classification of Doctor and AI Responses in Health Consultations
  136. Improved Operator Learning by Orthogonal Attention
  137. Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models
  138. GRAPE-S: Near Real-Time Coalition Formation for Multiple Service Collectives
  139. Exploring In-Context Learning of Textless Speech Language Model for Speech Classification Tasks
  140. Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping
  141. RecolorCloud: A Point Cloud Tool for Recoloring, Segmentation, and Conversion
  142. Contrastive Learning for Inference in Dialogue
  143. WeedCLR: Weed Contrastive Learning through Visual Representations with Class-Optimized Loss in Long-Tailed Datasets
  144. Lidar Panoptic Segmentation and Tracking without Bells and Whistles
  145. Unmasking Transformers: A Theoretical Approach to Data Recovery via Attention Weights
  146. Balanced Group Convolution: An Improved Group Convolution Based on Approximability Estimates
  147. Affective Conversational Agents: Understanding Expectations and Personal Influences
  148. MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy
  149. Not Just Learning from Others but Relying on Yourself: A New Perspective on Few-Shot Segmentation in Remote Sensing
  150. MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features
  151. A Read-and-Select Framework for Zero-shot Entity Linking
  152. Constrained Reweighting of Distributions: an Optimal Transport Approach
  153. Revisiting Sparse Retrieval for Few-shot Entity Linking
  154. Know Where to Go: Make LLM a Relevant, Responsible, and Trustworthy Searcher
  155. Efficient Long-Range Transformers: You Need to Attend More, but Not Necessarily at Every Layer
  156. Optimal Excess Risk Bounds for Empirical Risk Minimization on p-Norm Linear Regression
  157. SAM Meets UAP: Attacking Segment Anything Model With Universal Adversarial Perturbation
  158. DocXChain: A Powerful Open-Source Toolchain for Document Parsing and Beyond
  159. Enhanced Local Explainability and Trust Scores with Random Forest Proximities
  160. Automated Repair of Declarative Software Specifications in the Era of Large Language Models
  161. Detecting and Mitigating Algorithmic Bias in Binary Classification using Causal Modeling
  162. The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions
  163. Provable Guarantees for Neural Networks via Gradient Feature Learning
  164. Classification-Aided Robust Multiple Target Tracking Using Neural Enhanced Message Passing
  165. FinEntity: Entity-level Sentiment Classification for Financial Texts
  166. LoMAE: Low-level Vision Masked Autoencoders for Low-dose CT Denoising
  167. Loop Copilot: Conducting AI Ensembles for Music Generation and Iterative Editing
  168. Cooperative Minibatching in Graph Neural Networks
  169. Deep Learning Techniques for Video Instance Segmentation: A Survey