mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 4 Jun 2021

228 papers

  1. Latent Time-Adaptive Drift-Diffusion ModelDiffusion models → Diffusion foundations and sampling
  2. AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive DecodingMixture-of-experts → MoE for recommender systems
  3. Mesh-based graph convolutional neural networks for modeling materials with microstructure
  4. Roof Damage Assessment from Automated 3D Building Models
  5. COVID-19 cases prediction using regression and novel SSM model for non-converged countries
  6. Understanding the Dynamics between Vaping and Cannabis Legalization Using Twitter Opinions
  7. Meaning Representation of Numeric Fused-Heads in UCCA
  8. Cognitive-aware Short-text Understanding for Inferring Professions
  9. Low-Rank Projections of GCNs Laplacian
  10. MexPub: Deep Transfer Learning for Metadata Extraction from German Publications
  11. Credit spread approximation and improvement using random forest regression
  12. Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling
  13. Optimizing Bayesian Recurrent Neural Networks on an FPGA-based Accelerator
  14. FedBABU: Towards Enhanced Representation for Federated Image Classification
  15. Interferometric Graph Transform for Community Labeling
  16. Characterizing Residential Load Patterns by Household Demographic and Socioeconomic Factors
  17. Empirical observations on the effects of data transformation in machine learning classification of geological domains
  18. Probabilistic Neural Network to Quantify Uncertainty of Wind Power Estimation
  19. Computer-Assisted Analysis of Biomedical Images
  20. Auction-based and Distributed Optimization Approaches for Scheduling Observations in Satellite Constellations with Exclusive Orbit Portions
  21. Kernel approximation on algebraic varieties
  22. Do You Listen with One or Two Microphones? A Unified ASR Model for Single and Multi-Channel Audio
  23. Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics
  24. Decentralized Q-Learning in Zero-sum Markov Games
  25. Neural Auto-Curricula
  26. SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks
  27. ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes
  28. Encoder-Decoder Neural Architecture Optimization for Keyword Spotting
  29. Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings
  30. Learning particle swarming models from data with Gaussian processes
  31. Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness
  32. DISCO: accurate Discrete Scale Convolutions
  33. BO-DBA: Query-Efficient Decision-Based Adversarial Attacks via Bayesian Optimization
  34. MultiOpEd: A Corpus of Multi-Perspective News Editorials
  35. An Even More Optimal Stochastic Optimization Algorithm: Minibatching and Interpolation Learning
  36. Hierarchical Video Generation for Complex Data
  37. Point Cloud Failure Criterion for Composites using k-Nearest Neighbor Classification
  38. Learning Curves for SGD on Structured Features
  39. SketchGen: Generating Constrained CAD Sketches
  40. On the Design of Strategic Task Recommendations for Sustainable Crowdsourcing-Based Content Moderation
  41. Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning
  42. Subgroup Fairness in Two-Sided Markets
  43. Hidden Markov Modeling for Maximum Likelihood Neuron Reconstruction
  44. A Discrete Variational Derivation of Accelerated Methods in Optimization
  45. Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees
  46. Meta-Learning with Fewer Tasks through Task Interpolation
  47. Efficient Classification of Very Large Images with Tiny Objects
  48. Generic E-Variables for Exact Sequential k-Sample Tests that allow for Optional Stopping
  49. The R-U-A-Robot Dataset: Helping Avoid Chatbot Deception by Detecting User Questions About Human or Non-Human Identity
  50. RegionViT: Regional-to-Local Attention for Vision Transformers
  51. Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs
  52. SpikePropamine: Differentiable Plasticity in Spiking Neural Networks
  53. Algorithms from Invariants: Smoothed Analysis of Orbit Recovery over SO(3)
  54. Layered gradient accumulation and modular pipeline parallelism: fast and efficient training of large language models
  55. A novel multi-scale loss function for classification problems in machine learning
  56. Differentially Empirical Risk Minimization under the Fairness Lens
  57. Real Time Video based Heart and Respiration Rate Monitoring
  58. Emergent Communication of Generalizations
  59. Counterfactual Explanations Can Be Manipulated
  60. W-RST: Towards a Weighted RST-style Discourse Framework
  61. Churn Reduction via Distillation
  62. Associating Objects with Transformers for Video Object Segmentation
  63. Aligning Pretraining for Detection via Object-Level Contrastive Learning
  64. MERLOT: Multimodal Neural Script Knowledge Models
  65. Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering
  66. Fundamental tradeoffs between memorization and robustness in random features and neural tangent regimes
  67. Dynamics of specialization in neural modules under resource constraints
  68. ViViT: Curvature access through the generalized Gauss-Newton's low-rank structure
  69. Forward Super-Resolution: How Can GANs Learn Hierarchical Generative Models for Real-World Distributions
  70. Be Considerate: Objectives, Side Effects, and Deciding How to Act
  71. Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures
  72. Sigma-Delta and Distributed Noise-Shaping Quantization Methods for Random Fourier Features
  73. Bridging the Gap Between Target Networks and Functional Regularization
  74. A Holistic Approach to Interpretability in Financial Lending: Models, Visualizations, and Summary-Explanations
  75. InDiD: Instant Disorder Detection via Representation Learning
  76. Learning Hard Optimization Problems: A Data Generation Perspective
  77. Causal Graph Discovery from Self and Mutually Exciting Time Series
  78. SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks
  79. Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users' Trajectories
  80. Model-agnostic and Scalable Counterfactual Explanations via Reinforcement Learning
  81. Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model
  82. Self-Supervised Learning of Domain Invariant Features for Depth Estimation
  83. Spatially relaxed inference on high-dimensional linear models
  84. Stochastic gradient descent with noise of machine learning type. Part II: Continuous time analysis
  85. A Procedural World Generation Framework for Systematic Evaluation of Continual Learning
  86. Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning
  87. BERT-Based Sentiment Analysis: A Software Engineering Perspective
  88. Alexa, Google, Siri: What are Your Pronouns? Gender and Anthropomorphism in the Design and Perception of Conversational Assistants
  89. Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits
  90. Neural semi-Markov CRF for Monolingual Word Alignment
  91. AI Driven Road Maintenance Inspection
  92. BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the Interpretability of Attention
  93. Recurrent Neural Networks with Mixed Hierarchical Structures for Natural Language Processing
  94. Great Service! Fine-grained Parsing of Implicit Arguments
  95. Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probing
  96. Musical Prosody-Driven Emotion Classification: Interpreting Vocalists Portrayal of Emotions Through Machine Learning
  97. Fair Exploration via Axiomatic Bargaining
  98. Active Covering
  99. Detect the Interactions that Matter in Matter: Geometric Attention for Many-Body Systems
  100. Accelerating Dynamical System Simulations with Contracting and Physics-Projected Neural-Newton Solvers
All 228
  1. Heterogeneous Wasserstein Discrepancy for Incomparable Distributions
  2. Transferable and Distributed User Association Policies for 5G and Beyond Networks
  3. Graph-based Deep Learning for Communication Networks: A Survey
  4. CAFLOW: Conditional Autoregressive Flows
  5. Neural Network Surrogate Models for Absorptivity and Emissivity Spectra of Multiple Elements
  6. RoadMap: A Light-Weight Semantic Map for Visual Localization towards Autonomous Driving
  7. CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes
  8. Hallucination In Object Detection -- A Study In Visual Part Verification
  9. Price graphs: Utilizing the structural information of financial time series for stock prediction
  10. CATs: Cost Aggregation Transformers for Visual Correspondence
  11. Improving Computer Generated Dialog with Auxiliary Loss Functions and Custom Evaluation Metrics
  12. The Image Local Autoregressive Transformer
  13. Towards Fairness Certification in Artificial Intelligence
  14. COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completion
  15. Quantum Perceptron Revisited: Computational-Statistical Tradeoffs
  16. ADTrack: Target-Aware Dual Filter Learning for Real-Time Anti-Dark UAV Tracking
  17. Language Model Metrics and Procrustes Analysis for Improved Vector Transformation of NLP Embeddings
  18. Evaluating Local Explanations using White-box Models
  19. Debiasing a First-order Heuristic for Approximate Bi-level Optimization
  20. NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training
  21. Neural Architecture Search via Bregman Iterations
  22. GasHisSDB: A New Gastric Histopathology Image Dataset for Computer Aided Diagnosis of Gastric Cancer
  23. Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective
  24. Graph Barlow Twins: A self-supervised representation learning framework for graphs
  25. How to select and use tools? : Active Perception of Target Objects Using Multimodal Deep Learning
  26. Teaching keyword spotters to spot new keywords with limited examples
  27. Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions
  28. You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient
  29. A Novel Semi-supervised Framework for Call Center Agent Malpractice Detection via Neural Feature Learning
  30. NMS-Loss: Learning with Non-Maximum Suppression for Crowded Pedestrian Detection
  31. An Intelligent Resource Reservation for Crowdsourced Live Video Streaming Applications in Geo-Distributed Cloud Environment
  32. Approximate Fixed-Points in Recurrent Neural Networks
  33. Resource Allocation in Disaggregated Data Centre Systems with Reinforcement Learning
  34. Entity Concept-enhanced Few-shot Relation Extraction
  35. A Deep Local and Global Scene-Graph Matching for Image-Text Retrieval
  36. Prediction or Comparison: Toward Interpretable Qualitative Reasoning
  37. Strategyproof Learning: Building Trustworthy User-Generated Datasets
  38. On Classifying Continuous Constraint Satisfaction Problems
  39. A Learning-based Optimal Market Bidding Strategy for Price-Maker Energy Storage
  40. DOCTOR: A Simple Method for Detecting Misclassification Errors
  41. Multitask Online Mirror Descent
  42. Ambulatory blood pressure monitoring versus office blood pressure measurement: Are there sex differences?
  43. Online reinforcement learning with sparse rewards through an active inference capsule
  44. Controlling False Positive/Negative Rates for Deep-Learning-Based Prostate Cancer Detection on Multiparametric MR images
  45. Annotation Curricula to Implicitly Train Non-Expert Annotators
  46. A Survey on Deep Domain Adaptation for LiDAR Perception
  47. Learning Slice-Aware Representations with Mixture of Attentions
  48. How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact
  49. Adiabatic Quantum Feature Selection for Sparse Linear Regression
  50. PCA Initialization for Approximate Message Passing in Rotationally Invariant Models
  51. COLD: Concurrent Loads Disaggregator for Non-Intrusive Load Monitoring
  52. SOLQ: Segmenting Objects by Learning Queries
  53. SE(3)-equivariant prediction of molecular wavefunctions and electronic densities
  54. Provably Strict Generalisation Benefit for Invariance in Kernel Methods
  55. F-Drop&Match: GANs with a Dead Zone in the High-Frequency Domain
  56. ASCNet: Self-supervised Video Representation Learning with Appearance-Speed Consistency
  57. cs60075_team2 at SemEval-2021 Task 1 : Lexical Complexity Prediction using Transformer-based Language Models pre-trained on various text corpora
  58. Covering Polygons is Even Harder
  59. Manifold-Aware Deep Clustering: Maximizing Angles between Embedding Vectors Based on Regular Simplex
  60. Deep Switching State Space Model (DS3M) for Nonlinear Time Series Forecasting with Regime Switching
  61. Temporally coherent video anonymization through GAN inpainting
  62. Bi-Granularity Contrastive Learning for Post-Training in Few-Shot Scene
  63. ERICA: An Empathetic Android Companion for Covid-19 Quarantine
  64. Hybrid attention network based on progressive embedding scale-context for crowd counting
  65. Few-Shot Segmentation via Cycle-Consistent Transformer
  66. Retrieve & Memorize: Dialog Policy Learning with Multi-Action Memory
  67. Intelligent Transportation Systems to Mitigate Road Traffic Congestion
  68. FedCCEA : A Practical Approach of Client Contribution Evaluation for Federated Learning
  69. On (co-lex) Ordering Automata
  70. Local Adaptivity in Federated Learning: Convergence and Consistency
  71. Minimum Word Error Rate Training with Language Model Fusion for End-to-End Speech Recognition
  72. Event Classification with Multi-step Machine Learning
  73. AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NER
  74. MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution
  75. Fre-GAN: Adversarial Frequency-consistent Audio Synthesis
  76. Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution
  77. Cross-language Sentence Selection via Data Augmentation and Rationale Training
  78. Modeling the Unigram Distribution
  79. Tackling the Background Bias in Sparse Object Detection via Cropped Windows
  80. Dutch Named Entity Recognition and De-identification Methods for the Human Resource Domain
  81. Subdivision-Based Mesh Convolution Networks
  82. Decoupled Dialogue Modeling and Semantic Parsing for Multi-Turn Text-to-SQL
  83. Human-Adversarial Visual Question Answering
  84. AgreeSum: Agreement-Oriented Multi-Document Summarization
  85. Glance-and-Gaze Vision Transformer
  86. Ukiyo-e Analysis and Creativity with Attribute and Geometry Annotation
  87. SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization
  88. Tractable Regularization of Probabilistic Circuits
  89. Out-of-Distribution Generalization in Kernel Regression
  90. Regularization and Reparameterization Avoid Vanishing Gradients in Sigmoid-Type Networks
  91. Exploring Adversarial Learning for Deep Semi-Supervised Facial Action Unit Recognition
  92. Visual Question Rewriting for Increasing Response Rate
  93. Using Social Media Background to Improve Cold-start Recommendation Deep Models
  94. X-volution: On the unification of convolution and self-attention
  95. Disentangling Dense Multi-Cable Knots
  96. Robustifying Reinforcement Learning Policies with L1 Adaptive Control
  97. Knowing the No-match: Entity Alignment with Dangling Cases
  98. Deep Contextual Learners for Protein Networks
  99. Scalable Transformers for Neural Machine Translation
  100. ERNIE-Tiny : A Progressive Distillation Framework for Pretrained Transformer Compression
  101. Memory Approximate Message Passing
  102. Discovery of Causal Additive Models in the Presence of Unobserved Variables
  103. Language Scaling for Universal Suggested Replies Model
  104. Differentiable Architecture Search for Reinforcement Learning
  105. Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency
  106. Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances
  107. Materials Representation and Transfer Learning for Multi-Property Prediction
  108. History Encoding Representation Design for Human Intention Inference
  109. Specular reflections removal in colposcopic images based on neural networks: Supervised training with no ground truth previous knowledge
  110. Fluctuation-dissipation Type Theorem in Stochastic Linear Learning
  111. Fairness-Aware Unsupervised Feature Selection
  112. Analysis of the robustness of NMF algorithms
  113. Fuzzy Clustering with Similarity Queries
  114. NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer
  115. BERTTune: Fine-Tuning Neural Machine Translation with BERTScore
  116. Barcode Method for Generative Model Evaluation driven by Topological Data Analysis
  117. Stochastic Iterative Graph Matching
  118. Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators
  119. Detecting and Adapting to Novelty in Games
  120. Adam in Private: Secure and Fast Training of Deep Neural Networks with Adaptive Moment Estimation
  121. CNNs and GANs in MRI-based cross-modality medical image estimation
  122. Top-k Regularization for Supervised Feature Selection
  123. Celebrating Diversity in Shared Multi-Agent Reinforcement Learning
  124. Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL
  125. Grounding 'Grounding' in NLP
  126. Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery
  127. Towards Equal Gender Representation in the Annotations of Toxic Language Detection
  128. Self-supervised Dialogue Learning for Spoken Conversational Question Answering