mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 31 May 2023

356 papers

  1. Examining the Emergence of Deductive Reasoning in Generative Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  2. Diffusion Brush: A Latent Diffusion Model-based Editing Tool for AI-generated ImagesDiffusion models → Image generation, text-to-image and editing
  3. Diffused Redundancy in Pre-trained RepresentationsMechanistic interpretability → Sparse autoencoder training and evaluation
  4. SafeDiffuser: Safe Planning with Diffusion Probabilistic ModelsDiffusion models → Diffusion and flow policies for robotics
  5. Better patching using LLM prompting, via Self-ConsistencyLLM reasoning → Reasoning for agents, planning and code
  6. AI Imagery and the Overton WindowDiffusion models → Image generation, text-to-image and editing
  7. Too Large; Data Reduction for Vision-Language Pre-TrainingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  8. Understanding and Mitigating Copying in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  9. Efficient Diffusion Policies for Offline Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
  10. Let's Verify Step by StepLLM reasoning → Reinforcement learning for reasoning
  11. A Unified Conditional Framework for Diffusion-based Image RestorationDiffusion models → Inverse problems and image restoration
  12. Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and RobustDiffusion models → Robustness, privacy and adversarial aspects +1
  13. Protein Design with Guided Discrete DiffusionDiffusion models → Flow matching, time series and science
  14. GANDiffFace: Controllable Generation of Synthetic Datasets for Face Recognition with Realistic VariationsDiffusion models → Image generation, text-to-image and editing
  15. A Geometric Perspective on Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  16. MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RLDiffusion models → Diffusion and flow policies for robotics +1
  17. Efficient Learning of Urban Driving Policies Using Bird's-Eye-View State RepresentationsEnd-to-end autonomous driving → Reinforcement learning for driving
  18. Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing BiasMultimodal LLMs / vision-language models → Medical vision-language models
  19. Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion ModelDiffusion models → Medical imaging and segmentation
  20. LMCap: Few-shot Multilingual Image Captioning by Retrieval Augmented Language Model PromptingRetrieval-augmented generation → Multimodal RAG
  21. Direct Diffusion Bridge using Data Consistency for Inverse ProblemsDiffusion models → Inverse problems and image restoration
  22. Red Teaming Language Model Detectors with Language ModelsLLM safety and security → Prompt injection and agent security
  23. Spontaneous Symmetry Breaking in Generative Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  24. Deep Stochastic MechanicsDiffusion models → Diffusion foundations and sampling
  25. Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion ModelsDiffusion models → Medical imaging and segmentation
  26. A Unified Framework for U-Net Design and AnalysisDiffusion models → Diffusion foundations and sampling
  27. Adversarial Clean Label Backdoor Attacks and Defenses on Text Classification SystemsLLM safety and security → Backdoor and data poisoning attacks
  28. Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated LearningKnowledge distillation → Federated, robust and private distillation
  29. RealignDiff: Boosting Text-to-Image Diffusion Model with Coarse-to-fine Semantic Re-alignmentDiffusion models → Image generation, text-to-image and editing
  30. What does the Failure to Reason with "Respectively" in Zero/Few-Shot Settings Tell Us about Language Models?LLM reasoning → Reasoning benchmarks and evaluation
  31. Large Language Models Are Not Strong Abstract ReasonersLLM reasoning → Reasoning benchmarks and evaluation
  32. Improving Handwritten OCR with Training Samples Generated by Glyph Conditional Denoising Diffusion Probabilistic ModelDiffusion models → Image generation, text-to-image and editing
  33. Offline Meta Reinforcement Learning with In-Distribution Online AdaptationOffline RL and imitation learning from data → Decision transformers and sequence modeling
  34. Label-Retrieval-Augmented Diffusion Models for Learning from Noisy LabelsRetrieval-augmented generation → Generation and context integration +1
  35. Fine-grained Text Style Transfer with Diffusion-Based Language ModelsDiffusion models → Image generation, text-to-image and editing
  36. Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion ModelDiffusion models → Medical imaging and segmentation
  37. Improved Financial Forecasting via Quantum Machine Learning
  38. Theoretical Analysis on the Efficiency of Interleaved Comparisons
  39. BN-DRISHTI: Bangla Document Recognition through Instance-level Segmentation of Handwritten Text Images
  40. Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms
  41. Gibbs-Duhem-Informed Neural Networks for Binary Activity Coefficient Prediction
  42. Augmentation-aware Self-supervised Learning with Conditioned Projector
  43. Detection of Late Blight Disease in Tomato Leaf Using Image Processing Techniques
  44. Improved flood mapping for efficient policy design by fusion of Sentinel-1, Sentinel-2, and Landsat-9 imagery to identify population and infrastructure exposed to floods
  45. Feature Selection on Sentinel-2 Multi-spectral Imagery for Efficient Tree Cover Estimation
  46. Gemtelligence: Accelerating Gemstone classification with Deep Learning
  47. Multi-level Cross-modal Feature Alignment via Contrastive Learning towards Zero-shot Classification of Remote Sensing Image Scenes
  48. One shot learning based drivers head movement identification using a millimetre wave radar sensor
  49. Special Session: Approximation and Fault Resiliency of DNN Accelerators
  50. CrystalGPT: Enhancing system-to-system transferability in crystallization prediction and control using time-series-transformers
  51. Edit Distance based RL for RNNT decoding
  52. Responsible Design Patterns for Machine Learning Pipelines
  53. Power Control with QoS Guarantees: A Differentiable Projection-based Unsupervised Learning Framework
  54. Beyond Rankings: Exploring the Impact of SERP Features on Organic Click-through Rates
  55. Evaluating GPT's Programming Capability through CodeWars' Katas
  56. Physics-informed machine learning of redox flow battery based on a two-dimensional unit cell model
  57. Credit Card Fraud Detection Using Asexual Reproduction Optimization
  58. Towards Fair Disentangled Online Learning for Changing Environments
  59. Scaling Evidence-based Instructional Design Expertise through Large Language Models
  60. AbODE: Ab Initio Antibody Design using Conjoined ODEs
  61. AoM: Detecting Aspect-oriented Information for Multimodal Aspect-Based Sentiment Analysis
  62. Adaptive ship-radiated noise recognition with learnable fine-grained wavelet transform
  63. DiffLoad: Uncertainty Quantification in Electrical Load Forecasting with the Diffusion Model
  64. A Novel Fault-Tolerant Logic Style with Self-Checking Capability
  65. Improving Protein-peptide Interface Predictions in the Low Data Regime
  66. Sensitivity Analysis of High-Dimensional Models with Correlated Inputs
  67. BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations
  68. TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest
  69. Fine-Grained Property Value Assessment using Probabilistic Disaggregation
  70. From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces
  71. Combinatorial Neural Bandits
  72. Balancing Reconstruction and Editing Quality of GAN Inversion for Real Image Editing with StyleGAN Prior Latent Space
  73. Bytes Are All You Need: Transformers Operating Directly On File Bytes
  74. A Universal Latent Fingerprint Enhancer Using Transformers
  75. Predictive Limitations of Physics-Informed Neural Networks in Vortex Shedding
  76. Using Visual Cropping to Enhance Fine-Detail Question Answering of BLIP-Family Models
  77. FEED PETs: Further Experimentation and Expansion on the Disambiguation of Potentially Euphemistic Terms
  78. Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning
  79. PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis
  80. Strategies for improving low resource speech to text translation relying on pre-trained ASR models
  81. Training-Free Uncertainty Estimation for Embedding Models
  82. Toward Understanding Why Adam Converges Faster Than SGD for Transformers
  83. Building Manufacturing Deep Learning Models with Minimal and Imbalanced Training Data Using Domain Adaptation and Data Augmentation
  84. Generalized Implicit Follow-The-Regularized-Leader
  85. Zero-shot Pose Transfer for Unrigged Stylized 3D Characters
  86. An Invariant Learning Characterization of Controlled Text Generation
  87. SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis
  88. Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption
  89. Multi-environment lifelong deep reinforcement learning for medical imaging
  90. Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback
  91. Conditionally Strongly Log-Concave Generative Models
  92. FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow
  93. Contrastive Hierarchical Discourse Graph for Scientific Document Summarization
  94. Automated Annotation with Generative AI Requires Validation
  95. A Comparison of Decision Algorithms on Newcomblike Problems
  96. Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees
  97. Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training
  98. Measuring the Robustness of NLP Models to Domain Shifts
  99. Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model
  100. Information Fusion via Symbolic Regression: A Tutorial in the Context of Human Health
All 356
  1. Learning the Right Layers: a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs
  2. Enrichment of the NLST and NSCLC-Radiomics computed tomography collections with AI-derived annotations
  3. Distributed Online Convex Optimization with Adversarial Constraints: Reduced Cumulative Constraint Violation Bounds under Slater's Condition
  4. On the Expressive Power of Neural Networks
  5. Mechanic: A Learning Rate Tuner
  6. A Sequence-to-Sequence&Set Model for Text-to-Table Generation
  7. A Note On Interpreting Canary Exposure
  8. Self-supervised Vision Transformers for 3D Pose Estimation of Novel Objects
  9. Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning
  10. On Mixing Rates for Bayesian CART
  11. Pre-Trained Language-Meaning Models for Multilingual Parsing and Generation
  12. Multilingual Multi-Figurative Language Detection
  13. Optimal Sets and Solution Paths of ReLU Networks
  14. Neural Textured Deformable Meshes for Robust Analysis-by-Synthesis
  15. The Canadian Cropland Dataset: A New Land Cover Dataset for Multitemporal Deep Learning Classification in Agriculture
  16. Additional Positive Enables Better Representation Learning for Medical Images
  17. MuseCoco: Generating Symbolic Music from Text
  18. MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
  19. ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning
  20. MetaXLR -- Mixed Language Meta Representation Transformation for Low-resource Cross-lingual Learning based on Multi-Armed Bandit
  21. Learning the Pareto Front Using Bootstrapped Observation Samples
  22. A General Framework for Equivariant Neural Networks on Reductive Lie Groups
  23. Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
  24. Adaptive Coordination in Social Embodied Rearrangement
  25. CAROM Air -- Vehicle Localization and Traffic Scene Reconstruction from Aerial Videos
  26. Human-Aligned Calibration for AI-Assisted Decision Making
  27. Shadows of quantum machine learning
  28. Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning
  29. Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability
  30. How to Construct Perfect and Worse-than-Coin-Flip Spoofing Countermeasures: A Word of Warning on Shortcut Learning
  31. Space Net Optimization
  32. Graph-based methods coupled with specific distributional distances for adversarial attack detection
  33. Causal Intervention for Measuring Confidence in Drug-Target Interaction Prediction
  34. Assessing the Generalizability of a Performance Predictive Model
  35. FedCSD: A Federated Learning Based Approach for Code-Smell Detection
  36. BotArtist: Generic approach for bot detection in Twitter via semi-automatic machine learning pipeline
  37. Symmetry-Aware Robot Design with Structured Subgroups
  38. ROSARL: Reward-Only Safe Reinforcement Learning
  39. Diagnosis and Prognosis of Head and Neck Cancer Patients using Artificial Intelligence
  40. Morphological Classification of Radio Galaxies using Semi-Supervised Group Equivariant CNNs
  41. CodeTF: One-stop Transformer Library for State-of-the-art Code LLMs
  42. Efficient Stochastic Approximation of Minimax Excess Risk Optimization
  43. Humans in 4D: Reconstructing and Tracking Humans with Transformers
  44. Learning Explicit Contact for Implicit Reconstruction of Hand-held Objects from Monocular Images
  45. Improving CLIP Training with Language Rewrites
  46. Control4D: Efficient 4D Portrait Editing with Text
  47. Findings of the VarDial Evaluation Campaign 2023
  48. Managed Geo-Distributed Feature Store: Architecture and System Design
  49. Decision-Oriented Dialogue for Human-AI Collaboration
  50. Feature Learning in Image Hierarchies using Functional Maximal Correlation
  51. Alternating Minimization for Regression with Tropical Rational Functions
  52. A survey on the complexity of learning quantum states
  53. TOFG: A Unified and Fine-Grained Environment Representation in Autonomous Driving
  54. Latent Exploration for Reinforcement Learning
  55. Chatting Makes Perfect: Chat-based Image Retrieval
  56. Exploring Regions of Interest: Visualizing Histological Image Classification for Breast Cancer using Deep Learning
  57. Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance
  58. Rare Life Event Detection via Mobile Sensing Using Multi-Task Learning
  59. Cross-Domain Car Detection Model with Integrated Convolutional Block Attention Mechanism
  60. UNSSOR: Unsupervised Neural Speech Separation by Leveraging Over-determined Training Mixtures
  61. Efficient PDE-Constrained optimization under high-dimensional uncertainty using derivative-informed neural operators
  62. Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision
  63. F?D: On understanding the role of deep feature spaces on face generation evaluation
  64. LOWA: Localize Objects in the Wild with Attributes
  65. Assessing Language Disorders using Artificial Intelligence: a Paradigm Shift
  66. ActiveAED: A Human in the Loop Improves Annotation Error Detection
  67. Deception by Omission: Using Adversarial Missingness to Poison Causal Structure Learning
  68. A Study of Bayesian Neural Network Surrogates for Bayesian Optimization
  69. Mutual Information Estimation via f-Divergence and Data Derangements
  70. Bias Mitigation Methods for Binary Classification Decision-Making Systems: Survey and Recommendations
  71. Monotonic Location Attention for Length Generalization
  72. Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency
  73. AI for Low-Code for AI
  74. Constrained Causal Bayesian Optimization
  75. Human or Not? A Gamified Approach to the Turing Test
  76. Physics-Informed Ensemble Representation for Light-Field Image Super-Resolution
  77. Learning to solve Bayesian inverse problems: An amortized variational inference approach using Gaussian and Flow guides
  78. A Novel Black Box Process Quality Optimization Approach based on Hit Rate
  79. Representer Point Selection for Explaining Regularized High-dimensional Models
  80. Beam Tree Recursive Cells
  81. Efficient Shapley Values Estimation by Amortization for Text Classification
  82. Knowledge Graph Embedding with Electronic Health Records Data via Latent Graphical Block Model
  83. A Nested Matrix-Tensor Model for Noisy Multi-view Clustering
  84. InGram: Inductive Knowledge Graph Embedding via Relation Graphs
  85. Adam Accumulation to Reduce Memory Footprints of both Activations and Gradients for Large-scale DNN Training
  86. MedNgage: A Dataset for Understanding Engagement in Patient-Nurse Conversations
  87. Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy Tasks
  88. Correcting Semantic Parses with Natural Language through Dynamic Schema Encoding
  89. VILAS: Exploring the Effects of Vision and Language Context in Automatic Speech Recognition
  90. Federated Learning in the Presence of Adversarial Client Unavailability
  91. Analysing high resolution digital Mars images using machine learning
  92. DeepSolo++: Let Transformer Decoder with Explicit Points Solo for Multilingual Text Spotting
  93. MicroSegNet: A Deep Learning Approach for Prostate Segmentation on Micro-Ultrasound Images
  94. Multi-Dataset Co-Training with Sharpness-Aware Optimization for Audio Anti-spoofing
  95. Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
  96. Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Segmentation
  97. Image Registration of In Vivo Micro-Ultrasound and Ex Vivo Pseudo-Whole Mount Histopathology Images of the Prostate: A Proof-of-Concept Study
  98. Breast Cancer Detection and Diagnosis: A comparative study of state-of-the-arts deep learning architectures
  99. Metropolis-Hastings algorithm in joint-attention naming game: Experimental semiotics study
  100. Speaking the Language of Your Listener: Audience-Aware Adaptation via Plug-and-Play Theory of Mind
  101. A Global Context Mechanism for Sequence Labeling
  102. Revisiting the Reliability of Psychological Scales on Large Language Models
  103. Joint Adaptive Representations for Image-Language Learning
  104. Representation-Driven Reinforcement Learning
  105. MSKdeX: Musculoskeletal (MSK) decomposition from an X-ray image for fine-grained estimation of lean muscle mass and muscle volume
  106. Fully Dynamic Submodular Maximization over Matroids
  107. Source Code Data Augmentation for Deep Learning: A Survey
  108. Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning
  109. Neuron to Graph: Interpreting Language Model Neurons at Scale
  110. Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues
  111. How to Plant Trees in Language Models: Data and Architectural Effects on the Emergence of Syntactic Inductive Biases
  112. Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization
  113. AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach
  114. Adaptive Conformal Regression with Jackknife+ Rescaled Scores
  115. fpgaHART: A toolflow for throughput-oriented acceleration of 3D CNNs for HAR onto FPGAs
  116. Dynamic Neighborhood Construction for Structured Large Discrete Action Spaces
  117. Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits
  118. RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation
  119. Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials
  120. There is more to graphs than meets the eye: Learning universal features with self-supervision
  121. Designing Closed-Loop Models for Task Allocation
  122. Self-supervised Learning to Bring Dual Reversed Rolling Shutter Images Alive
  123. Human Control: Definitions and Algorithms
  124. A Survey on Large Language Models for Recommendation
  125. Enhancing image quality prediction with self-supervised visual masking
  126. TPDM: Selectively Removing Positional Information for Zero-shot Translation via Token-Level Position Disentangle Module
  127. How Does Pretraining Improve Discourse-Aware Translation?
  128. Guiding Computational Stance Detection with Expanded Stance Triangle Framework
  129. Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs
  130. BEIR-PL: Zero Shot Information Retrieval Benchmark for the Polish Language
  131. Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization
  132. EAMDrift: An interpretable self retrain model for time series
  133. Deliberate then Generate: Enhanced Prompting Framework for Text Generation
  134. An Empirical Study of Federated Learning on IoT-Edge Devices: Resource Allocation and Heterogeneity
  135. Spectal Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning
  136. A Survey of Label-Efficient Deep Learning for 3D Point Clouds
  137. Distance Rank Score: Unsupervised filter method for feature selection on imbalanced dataset
  138. Neuro-Causal Factor Analysis
  139. Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation
  140. DeepMerge: Deep-Learning-Based Region-Merging for Image Segmentation
  141. IDAS: Intent Discovery with Abstractive Summarization
  142. A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehicles
  143. Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya
  144. Off-By-One Implementation Error in J-UNIWARD
  145. Ambiguity in solving imaging inverse problems with deep learning based operators
  146. Quality In / Quality Out: Data quality more relevant than model choice in anomaly detection with the UGR'16
  147. Attention-Based Methods For Audio Question Answering
  148. Analytical reconstructions of full-scan multiple source-translation computed tomography under large field of views
  149. A Bayesian Approach To Analysing Training Data Attribution In Deep Learning
  150. Recursive Metropolis-Hastings Naming Game: Symbol Emergence in a Multi-agent System based on Probabilistic Generative Models
  151. Simple yet Effective Code-Switching Language Identification with Multitask Pre-Training and Transfer Learning
  152. Automatic Discrimination of Human and Neural Machine Translation in Multilingual Scenarios
  153. Sentence Simplification Using Paraphrase Corpus for Initialization
  154. The Tunnel Effect: Building Data Representations in Deep Neural Networks
  155. Text-to-Speech Pipeline for Swiss German -- A comparison
  156. UKP-SQuARE: An Interactive Tool for Teaching Question Answering
  157. Analyzing Text Representations by Measuring Task Alignment
  158. Neural Markov Jump Processes
  159. Towards Monocular Shape from Refraction
  160. Reliable Off-Policy Learning for Dosage Combinations
  161. Bures-Wasserstein Means of Graphs
  162. Knowledge Base Question Answering for Space Debris Queries
  163. APPRAISER: DNN Fault Resilience Analysis Employing Approximation Errors
  164. Data Representations' Study of Latent Image Manifolds
  165. Unbalanced Low-rank Optimal Transport Solvers
  166. Learning Representations without Compositional Assumptions
  167. Direct Learning-Based Deep Spiking Neural Networks: A Review
  168. A rule-general abductive learning by rough sets
  169. An Empirical Evaluation of Rewiring Approaches in Graph Neural Networks
  170. XPhoneBERT: A Pre-trained Multilingual Model for Phoneme Representations for Text-to-Speech
  171. Building Extractive Question Answering System to Support Human-AI Health Coaching Model for Sleep Domain
  172. Necessary and Sufficient Conditions for Optimal Decision Trees using Dynamic Programming
  173. GaitGS: Temporal Feature Learning in Granularity and Span Dimension for Gait Recognition
  174. Investigation of the Robustness of Neural Density Fields
  175. An Efficient Machine Learning-based Channel Prediction Technique for OFDM Sub-Bands
  176. Causal discovery for time series with constraint-based model and PMIME measure
  177. Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability
  178. Constant or logarithmic regret in asynchronous multiplayer bandits
  179. Assessing Word Importance Using Models Trained for Semantic Tasks
  180. VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges
  181. End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization
  182. Smooth-Trajectron++: Augmenting the Trajectron++ behaviour prediction model with smooth attention
  183. Online-to-PAC Conversions: Generalization Bounds via Regret Analysis
  184. Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss
  185. Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation
  186. Unveiling Cross Modality Bias in Visual Question Answering: A Causal View with Possible Worlds VQA
  187. Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains
  188. Local Fragments, Global Gains: Subgraph Counting using Graph Neural Networks
  189. Adverbs, Surprisingly
  190. Fine-grained Analysis of Non-parametric Estimation for Pairwise Learning
  191. Explainable AI for Malnutrition Risk Prediction from m-Health and Clinical Data
  192. A Multi-Modal Transformer Network for Action Detection
  193. Point-GCC: Universal Self-supervised 3D Scene Pre-training via Geometry-Color Contrast
  194. XTransCT: Ultra-Fast Volumetric CT Reconstruction using Two Orthogonal X-Ray Projections for Image-guided Radiation Therapy via a Transformer Network
  195. MSMix:An Interpolation-Based Text Data Augmentation Method Manifold Swap Mixup
  196. Underwater-Art: Expanding Information Perspectives With Text Templates For Underwater Acoustic Target Recognition
  197. Parameter-free projected gradient descent
  198. DKINet: Medication Recommendation via Domain Knowledge Informed Deep Learning
  199. Intelligible Lip-to-Speech Synthesis with Speech Units
  200. Learning Music Sequence Representation from Text Supervision
  201. Towards Semi-supervised Universal Graph Classification
  202. Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
  203. Exploring the Vulnerabilities of Machine Learning and Quantum Machine Learning to Adversarial Attacks using a Malware Dataset: A Comparative Analysis
  204. Integrated multi-operand optical neurons for scalable and hardware-efficient deep learning
  205. Traffic Prediction using Artificial Intelligence: Review of Recent Advances and Emerging Opportunities
  206. Neural Kernel Surface Reconstruction
  207. SLABERT Talk Pretty One Day: Modeling Second Language Acquisition with BERT
  208. Active causal structure learning with advice
  209. Towards Omni-generalizable Neural Methods for Vehicle Routing Problems
  210. LAIT: Efficient Multi-Segment Encoding in Transformers with Layer-Adjustable Interaction
  211. The Tag-Team Approach: Leveraging CLS and Language Tagging for Enhancing Multilingual ASR
  212. Causal Discovery with Latent Confounders Based on Higher-Order Cumulants
  213. SVVAD: Personal Voice Activity Detection for Speaker Verification
  214. On the Linear Convergence of Policy Gradient under Hadamard Parameterization
  215. Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms
  216. Domain knowledge-informed Synthetic fault sample generation with Health Data Map for cross-domain Planetary Gearbox Fault Diagnosis
  217. DC CoMix TTS: An End-to-End Expressive TTS with Discrete Code Collaborated with Mixer
  218. Zero-Shot Automatic Pronunciation Assessment
  219. Replicability in Reinforcement Learning
  220. Look-Ahead Task Offloading for Multi-User Mobile Augmented Reality in Edge-Cloud Computing
  221. Dictionary Learning under Symmetries via Group Representations
  222. Exploring Phonetic Context-Aware Lip-Sync For Talking Face Generation
  223. Spotlight Attention: Robust Object-Centric Learning With a Spatial Locality Prior
  224. Accurate and Structured Pruning for Efficient Automatic Speech Recognition
  225. Inferring and Leveraging Parts from Object Shape for Improving Semantic Image Synthesis
  226. Catalysis distillation neural network for the few shot open catalyst challenge
  227. Automatic Illumination Spectrum Recovery
  228. Low-rank extended Kalman filtering for online learning of neural networks from streaming data
  229. Recasting Self-Attention with Holographic Reduced Representations
  230. Multi-Epoch Learning for Deep Click-Through Rate Prediction Models
  231. Discovering New Interpretable Conservation Laws as Sparse Invariants
  232. Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning
  233. Incremental Randomized Smoothing Certification
  234. Hard Region Aware Network for Remote Sensing Change Detection
  235. Mildly Overparameterized ReLU Networks Have a Favorable Loss Landscape
  236. Manifold Constraint Regularization for Remote Sensing Image Generation
  237. M3ICRO: Machine Learning-Enabled Compact Photonic Tensor Core based on PRogrammable Multi-Operand Multimode Interference
  238. Graph Entropy Minimization for Semi-supervised Node Classification
  239. Exploring Lottery Prompts for Pre-trained Language Models
  240. Deep into The Domain Shift: Transfer Learning through Dependence Regularization
  241. Perception and Semantic Aware Regularization for Sequential Confidence Calibration
  242. Towards Flow Graph Prediction of Open-Domain Procedural Texts
  243. Is Learning in Games Good for the Learners?
  244. CVSNet: A Computer Implementation for Central Visual System of The Brain
  245. Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation
  246. Adaptive False Discovery Rate Control with Privacy Guarantee
  247. Learning by Aligning 2D Skeleton Sequences and Multi-Modality Fusion
  248. Permutation-Aware Action Segmentation via Unsupervised Frame-to-Segment Alignment
  249. Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration
  250. Doubly Constrained Fair Clustering
  251. Ethical Considerations for Machine Translation of Indigenous Languages: Giving a Voice to the Speakers
  252. Chain of Log-Concave Markov Chains
  253. PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning
  254. Label Embedding via Low-Coherence Matrices
  255. Efficient Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA
  256. The Impact of Positional Encoding on Length Generalization in Transformers