mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 17 Jun 2022

214 papers

  1. Score-based Generative Models for Calorimeter Shower SimulationDiffusion models → Flow matching, time series and science
  2. A Flexible Diffusion ModelDiffusion models → Diffusion foundations and sampling
  3. Binary Early-Exit Network for Adaptive Inference on Low-Resource DevicesEfficient LLM inference and serving → Early exit and edge inference
  4. Diffusion models as plug-and-play priorsDiffusion models → Diffusion foundations and sampling
  5. VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMixMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  6. Lossy Compression with Gaussian DiffusionDiffusion models → Diffusion for compression and wireless
  7. Improving Generalization of Metric Learning via Listwise Self-distillationKnowledge distillation → General knowledge distillation methods
  8. MineDojo: Building Open-Ended Embodied Agents with Internet-Scale KnowledgeWorld models → World models for language agents +1
  9. Is Multi-Modal Necessarily Better? Robustness Evaluation of Multi-modal Fake News DetectionLLM safety and security → Backdoor and data poisoning attacks
  10. Bootstrapped Transformer for Offline Reinforcement LearningOffline RL and imitation learning from data → Decision transformers and sequence modeling
  11. SOS: Score-based Oversampling for Tabular DataDiffusion models → Diffusion foundations and sampling
  12. SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
  13. MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized HealthcareKnowledge distillation → Federated, robust and private distillation
  14. A Unified Evaluation of Textual Backdoor Learning: Frameworks and BenchmarksLLM safety and security → Backdoor and data poisoning attacks
  15. Revisiting Self-DistillationKnowledge distillation → General knowledge distillation methods
  16. A Roadmap for Greater Public Use of Privacy-Sensitive Government Data: Workshop Report
  17. Autoencoding Conditional GAN for Portfolio Allocation Diversification
  18. FreeREA: Training-Free Evolution-based Architecture Search
  19. Optimization of Temperature and Relative Humidity in an Automatic Egg Incubator Using Mamdani Interference System
  20. MultiEarth 2022 -- The Champion Solution for Image-to-Image Translation Challenge via Generation Models
  21. Should Social Robots in Retail Manipulate Customers?
  22. Fast Simulation of Particulate Suspensions Enabled by Graph Neural Network
  23. Uncovering variability in human driving behavior through automatic extraction of similar traffic scenes from large naturalistic datasets
  24. AnyMorph: Learning Transferable Polices By Inferring Agent Morphology
  25. RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval
  26. Deep reinforcement learning for fMRI prediction of Autism Spectrum Disorder
  27. StaDRe and StaDRo: Reliability and Robustness Estimation of ML-based Forecasting using Statistical Distance Measures
  28. Transformer Neural Networks Attending to Both Sequence and Structure for Protein Prediction Tasks
  29. A Survey on Computational Intelligence-based Transfer Learning
  30. The SPACE THEA Project
  31. Approximate Equivariance SO(3) Needlet Convolution
  32. The State of Sparse Training in Deep Reinforcement Learning
  33. Learning the parameters of a differential equation from its trajectory via the adjoint equation
  34. Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis
  35. Riemannian CUR Decompositions for Robust Principal Component Analysis
  36. Accelerating Machine Learning Training Time for Limit Order Book Prediction
  37. Energy reconstruction for large liquid scintillator detectors with machine learning techniques: aggregated features approach
  38. Validation of Vector Data using Oblique Images
  39. Towards Better Selective Classification
  40. Landscape Learning for Neural Network Inversion
  41. Designing MacPherson Suspension Architectures using Bayesian Optimization
  42. Conditional Permutation Invariant Flows
  43. Uniform and Modular Sequent Systems for Description Logics
  44. Path-Gradient Estimators for Continuous Normalizing Flows
  45. LIMO: Latent Inceptionism for Targeted Molecule Generation
  46. Towards Efficient Active Learning of PDFA
  47. Cluster Generation via Deep Energy-Based Model
  48. A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting
  49. Robust Group Synchronization via Quadratic Programming
  50. Shadows Shed Light on 3D Objects
  51. TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation
  52. Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness
  53. ck-means, a novel unsupervised learning method that combines fuzzy and crispy clustering methods to extract intersecting data
  54. Explainable Global Error Weighted on Feature Importance: The xGEWFI metric to evaluate the error of data imputation and data augmentation
  55. DPDR: A novel machine learning method for the Decision Process for Dimensionality Reduction
  56. Shallow and Deep Nonparametric Convolutions for Gaussian Processes
  57. MultiEarth 2022 -- The Champion Solution for the Matrix Completion Challenge via Multimodal Regression and Generation
  58. Random Forest of Epidemiological Models for Influenza Forecasting
  59. Actionable Guidance for High-Consequence AI Risk Management: Towards Standards Addressing AI Catastrophic Risks
  60. KitBit: A New AI Model for Solving Intelligence Tests and Numerical Series
  61. Design of Multi-model Linear Inferential Sensors with SVM-based Switching Logic
  62. Making first order linear logic a generating grammar
  63. Bag of Image Patch Embedding Behind the Success of Self-Supervised Learning
  64. The Impact of Variable Ordering on Bayesian Network Structure Learning
  65. Photoelectric Factor Prediction Using Automated Learning and Uncertainty Quantification
  66. CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation
  67. TAVA: Template-free Animatable Volumetric Actors
  68. DenseMTL: Cross-task Attention Mechanism for Dense Multi-task Learning
  69. VectorMapNet: End-to-end Vectorized HD Map Learning
  70. Learning a Single Neuron with Adversarial Label Noise via Gradient Descent
  71. The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysts
  72. Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks
  73. niksss at HinglishEval: Language-agnostic BERT-based Contextual Embeddings with Catboost for Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text
  74. Colonoscopy 3D Video Dataset with Paired Depth from 2D-3D Registration
  75. SYMBA: Symbolic Computation of Squared Amplitudes in High Energy Physics with Machine Learning
  76. Adapting the Linearised Laplace Model Evidence for Modern Deep Learning
  77. Popular decision tree algorithms are provably noise tolerant
  78. SimA: Simple Softmax-free Attention for Vision Transformers
  79. Scaling multi-species occupancy models to large citizen science datasets
  80. Disentangling Model Multiplicity in Deep Learning
  81. Fast Population-Based Reinforcement Learning on a Single Machine
  82. Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling
  83. CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer
  84. Edge-Aided Sensor Data Sharing in Vehicular Communication Networks
  85. Logic-based Reward Shaping for Multi-Agent Reinforcement Learning
  86. Mirror Descent with Relative Smoothness in Measure Spaces, with application to Sinkhorn and EM
  87. How Robust is Unsupervised Representation Learning to Distribution Shift?
  88. Fast Lossless Neural Compression with Integer-Only Discrete Flows
  89. A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem
  90. Avoid Overfitting User Specific Information in Federated Keyword Spotting
  91. DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification
  92. Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes
  93. SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments
  94. AutoML Two-Sample Test
  95. Entity-Graph Enhanced Cross-Modal Pretraining for Instance-level Product Retrieval
  96. Random projections and Kernelised Leave One Cluster Out Cross-Validation: Universal baselines and evaluation tools for supervised machine learning for materials properties
  97. Decentralized adaptive clustering of deep nets is beneficial for client collaboration
  98. What can Speech and Language Tell us About the Working Alliance in Psychotherapy
  99. A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging
  100. Prediction of Solar Radiation Based on Spatial and Temporal Embeddings for Solar Generation Forecast
All 214
  1. FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning
  2. Multimodal Attention-based Deep Learning for Alzheimer's Disease Diagnosis
  3. Language with Vision: a Study on Grounded Word and Sentence Embeddings
  4. Holistic Transformer: A Joint Neural Network for Trajectory Prediction and Decision-Making of Autonomous Vehicles
  5. Truly Unordered Probabilistic Rule Sets for Multi-class Classification
  6. Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets
  7. Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training
  8. The Importance of Background Information for Out of Distribution Generalization
  9. FD-CAM: Improving Faithfulness and Discriminability of Visual Explanation for CNNs
  10. DU-Net based Unsupervised Contrastive Learning for Cancer Segmentation in Histology Images
  11. Self-supervised speech unit discovery from articulatory and acoustic features using VQ-VAE
  12. Spherical Sliced-Wasserstein
  13. CTooth: A Fully Annotated 3D Dataset and Benchmark for Tooth Volume Segmentation on Cone Beam Computed Tomography Images
  14. Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms
  15. C-Pack of IPAs: A C90 Program Benchmark of Introductory Programming Assignments
  16. Rectifying Mono-Label Boolean Classifiers
  17. Beyond Ridge Regression for Distribution-Free Data
  18. Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay
  19. Federated learning with incremental clustering for heterogeneous data
  20. Learning Fair Representation via Distributional Contrastive Disentanglement
  21. Near-Optimal No-Regret Learning Dynamics for General Convex Games
  22. Detecting Adversarial Examples in Batches -- a geometrical approach
  23. N2M2: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments
  24. Generalised Policy Improvement with Geometric Policy Composition
  25. The ITU Faroese Pairs Dataset
  26. Evaluation of Contrastive Learning with Various Code Representations for Code Clone Detection
  27. Crowdsourcing Relative Rankings of Multi-Word Expressions: Experts versus Non-Experts
  28. CookDial: A dataset for task-oriented dialogs grounded in procedural documents
  29. Fast Finite Width Neural Tangent Kernel
  30. Evaluating the Impact of Source Code Parsers on ML4SE Models
  31. An Algorithm for the SE(3)-Transformation on Neural Implicit Maps for Remapping Functions
  32. Statistical and Neural Methods for Cross-lingual Entity Label Mapping in Knowledge Graphs
  33. Explainability's Gain is Optimality's Loss? -- How Explanations Bias Decision-making
  34. Maximum Class Separation as Inductive Bias in One Matrix
  35. Plotly-Resampler: Effective Visual Analytics for Large Time Series
  36. Sheaf Neural Networks with Connection Laplacians
  37. Towards Real-Time Visual Tracking with Graded Color-names Features
  38. You Only Derive Once (YODO): Automatic Differentiation for Efficient Sensitivity Analysis in Bayesian Networks
  39. Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning
  40. Sparse Double Descent: Where Network Pruning Aggravates Overfitting
  41. AggNet: Learning to Aggregate Faces for Group Membership Verification
  42. BITS Pilani at HinglishEval: Quality Evaluation for Code-Mixed Hinglish Text Using Transformers
  43. Understanding Robust Overfitting of Adversarial Training and Beyond
  44. A Quantitative and Qualitative Analysis of Suicide Ideation Detection using Deep Learning
  45. A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications
  46. FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification
  47. The Sensorium competition on predicting large-scale mouse primary visual cortex activity
  48. Boosting Factorization Machines via Saliency-Guided Mixup
  49. Digital Twin Data Modelling by Randomized Orthogonal Decomposition and Deep Learning
  50. BridgeTower: Building Bridges Between Encoders in Vision-Language Representation Learning
  51. tinySNN: Towards Memory- and Energy-Efficient Spiking Neural Networks
  52. Learning Implicit Feature Alignment Function for Semantic Segmentation
  53. All Mistakes Are Not Equal: Comprehensive Hierarchy Aware Multi-label Predictions (CHAMP)
  54. Orthonormal Expansions for Translation-Invariant Kernels
  55. Scalable Differentially Private Clustering via Hierarchically Separated Trees
  56. Local Slot Attention for Vision-and-Language Navigation
  57. Diverse Multiple Trajectory Prediction Using a Two-stage Prediction Network Trained with Lane Loss
  58. Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift
  59. Minimum Noticeable Difference based Adversarial Privacy Preserving Image Generation
  60. Learning Using Privileged Information for Zero-Shot Action Recognition
  61. RECAPP: Crafting a More Efficient Catalyst for Convex Optimization
  62. MSDF: A General Open-Domain Multi-Skill Dialog Framework
  63. A Graph-Enhanced Click Model for Web Search
  64. On the Number of Regions of Piecewise Linear Neural Networks
  65. Understanding Aesthetics with Language: A Photo Critique Dataset for Aesthetic Assessment
  66. OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing
  67. Medical Dialogue Response Generation with Pivotal Information Recalling
  68. Masked Autoencoders for Generic Event Boundary Detection CVPR'2022 Kinetics-GEBD Challenge
  69. On Efficient Real-Time Semantic Segmentation: A Survey
  70. An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages
  71. On Integrating Prior Knowledge into Gaussian Processes for Prognostic Health Monitoring
  72. Characterizing Learning Dynamics under Relative Reparameterization of Singular Models
  73. Principled Acceleration of Iterative Numerical Methods Using Machine Learning
  74. Automatic Correction of Human Translations
  75. HairFIT: Pose-Invariant Hairstyle Transfer via Flow-based Hair Alignment and Semantic-Region-Aware Inpainting
  76. NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning
  77. DFG-NAS: Deep and Flexible Graph Neural Architecture Search
  78. Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization
  79. Optimal Extragradient-Based Bilinearly-Coupled Saddle-Point Optimization
  80. Enhanced Bi-directional Motion Estimation for Video Frame Interpolation
  81. Multi-Contextual Predictions with Vision Transformer for Video Anomaly Detection
  82. Rectify ViT Shortcut Learning by Visual Saliency
  83. Active Data Discovery: Mining Unknown Data using Submodular Information Measures
  84. MET: Masked Encoding for Tabular Data
  85. Boosting Graph Structure Learning with Dummy Nodes
  86. How You Start Matters for Generalization
  87. COVID-19 Detection using Transfer Learning with Convolutional Neural Network
  88. Thompson Sampling for Robust Transfer in Multi-Task Bandits
  89. Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images
  90. Texture Generation Using A Graph Generative Adversarial Network And Differentiable Rendering
  91. NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates
  92. Multi-Classification of Brain Tumor Images Using Transfer Learning Based Deep Neural Network
  93. Strategic Representation
  94. Large-Margin Representation Learning for Texture Classification
  95. Reframed GES with a Neural Conditional Dependence Measure
  96. Accelerating Shapley Explanation via Contributive Cooperator Selection
  97. k-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension
  98. CDNet: Contrastive Disentangled Network for Fine-Grained Image Categorization of Ocular B-Scan Ultrasound
  99. A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models
  100. VLMbench: A Compositional Benchmark for Vision-and-Language Manipulation
  101. Thompson Sampling Achieves tilde O(√T) Regret in Linear Quadratic Control
  102. ECTLO: Effective Continuous-time Odometry Using Range Image for LiDAR with Small FoV
  103. ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs
  104. TLETA: Deep Transfer Learning and Integrated Cellular Knowledge for Estimated Time of Arrival Prediction
  105. Neural Architecture Adaptation for Object Detection by Searching Channel Dimensions and Mapping Pre-trained Parameters
  106. A Numerical Reasoning Question Answering System with Fine-grained Retriever and the Ensemble of Multiple Generators for FinQA
  107. What do navigation agents learn about their environment?
  108. A Parametric Class of Approximate Gradient Updates for Policy Optimization
  109. Unsupervised Kinematic Motion Detection for Part-segmented 3D Shape Collections
  110. Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency
  111. Yankee Swap: a Fast and Simple Fair Allocation Mechanism for Matroid Rank Valuations
  112. Factorization Approach for Sparse Spatio-Temporal Brain-Computer Interface
  113. TKIL: Tangent Kernel Approach for Class Balanced Incremental Learning
  114. Debugging using Orthogonal Gradient Descent