Papers
Thu 13 Jan 2022
121 papers
- Contextual Bandits for Advertising Campaigns: A Diffusion-Model Independent Approach (Extended Version)Diffusion models → Diffusion and flow policies for robotics
- CLIP-Event: Connecting Text and Images with Event StructuresMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Exact learning for infinite families of concepts
- Datasheet for the Pile
- Neuron-Specific Dropout: A Deterministic Regularization Technique to Prevent Neural Networks from Overfitting & Reduce Dependence on Large Training Samples
- ULTRA: A Data-driven Approach for Recommending Team Formation in Response to Proposal Calls
- Consistent Approximations in Composite Optimization
- Neural Circuit Architectural Priors for Embodied Control
- A Method for Controlling Extrapolation when Visualizing and Optimizing the Prediction Profiles of Statistical and Machine Learning Models
- Optimal alphabet for single text compression
- Density reconstruction from schlieren images through Bayesian nonparametric models
- NLP in Human Rights Research -- Extracting Knowledge Graphs About Police and Army Units and Their Commanders
- Examining and Mitigating the Impact of Crossbar Non-idealities for Accurate Implementation of Sparse Deep Neural Networks
- Towards a Data Privacy-Predictive Performance Trade-off
- Assemble Foundation Models for Automatic Code Summarization
- Learning Enhancement of CNNs via Separation Index Maximizing at the First Convolutional Layer
- The Fairness Field Guide: Perspectives from Social and Formal Sciences
- How I learned to stop worrying and love the curse of dimensionality: an appraisal of cluster validation in high-dimensional spaces
- Parallel Neural Local Lossless Compression
- Reproducible, incremental representation learning with Rosetta VAE
- `Next Generation' Reservoir Computing: an Empirical Data-Driven Expression of Dynamical Equations in Time-Stepping Form
- Making a (Counterfactual) Difference One Rationale at a Time
- Neural Approaches to Conversational Information Retrieval
- The Combinatorics of textitSalva Veritate Principles
- Jamming Attacks on Federated Learning in Wireless Networks
- Structured access: an emerging paradigm for safe AI deployment
- Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach
- Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning
- The curse of overparametrization in adversarial training: Precise analysis of robust generalization for random features regression
- Fully Adaptive Bayesian Algorithm for Data Analysis, FABADA
- Kernel methods for long term dose response curves
- Discovering Governing Equations from Partial Measurements with Deep Delay Autoencoders
- Hyperparameter Importance for Machine Learning Algorithms
- SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation
- GradMax: Growing Neural Networks using Gradient Information
- NorDiaChange: Diachronic Semantic Change Dataset for Norwegian
- STEdge: Self-training Edge Detection with Multi-layer Teaching and Regularization
- SeamlessGAN: Self-Supervised Synthesis of Tileable Texture Maps
- Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?
- Functional Anomaly Detection: a Benchmark Study
- An adaptable cognitive microcontroller node for fitness activity recognition
- Neural Koopman Lyapunov Control
- Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation
- Improved Multi-objective Data Stream Clustering with Time and Memory Optimization
- Black-box Safety Analysis and Retraining of DNNs based on Feature Extraction and Clustering
- Feature-rich multiplex lexical networks reveal mental strategies of early language learning
- A robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery
- On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles
- Speech Resources in the Tamasheq Language
- TransVOD: End-to-End Video Object Detection with Spatial-Temporal Transformers
- Flood Prediction and Analysis on the Relevance of Features using Explainable Artificial Intelligence
- Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture Models
- LARD: Large-scale Artificial Disfluency Generation
- Multi-task longitudinal forecasting with missing values on Alzheimer's Disease
- Criticality-Based Varying Step-Number Algorithm for Reinforcement Learning
- Fantastic Data and How to Query Them
- GPU-accelerated partially linear multiuser detection for 5G and beyond URLLC systems
- Stereo Magnification with Multi-Layer Images
- Self-semantic contour adaptation for cross modality brain tumor segmentation
- Automatic Sparse Connectivity Learning for Neural Networks
- Towards Automated Error Analysis: Learning to Characterize Errors
- Fish sounds: towards the evaluation of marine acoustic biodiversity through data-driven audio source separation
- Multi-granularity Association Learning Framework for on-the-fly Fine-Grained Sketch-based Image Retrieval
- Evaluation of Four Black-box Adversarial Attacks and Some Query-efficient Improvement Analysis
- Automated Reinforcement Learning: An Overview
- Data-Driven Modeling and Prediction of Non-Linearizable Dynamics via Spectral Submanifolds
- REST: Debiased Social Recommendation via Reconstructing Exposure Strategies
- Learning Semantic Abstraction of Shape via 3D Region of Interest
- Improving VAE based molecular representations for compound property prediction
- Technical Report for ICCV 2021 Challenge SSLAD-Track3B: Transformers Are Better Continual Learners
- Realistic Endoscopic Image Generation Method Using Virtual-to-real Image-domain Translation
- Compressing Word Embeddings Using Syllables
- The Effectiveness of Time Stretching for Enhancing Dysarthric Speech for Improved Dysarthric Speech Recognition
- Hand-Object Interaction Reasoning
- Flexible Style Image Super-Resolution using Conditional Objective
- Solving Dynamic Graph Problems with Multi-Attention Deep Reinforcement Learning
- A Quadratic 0-1 Programming Approach for Word Sense Disambiguation
- Towards a Reference Software Architecture for Human-AI Teaming in Smart Manufacturing
- VoLux-GAN: A Generative Model for 3D Face Synthesis with HDRI Relighting
- Beyond Interestingness: Semantic and Context-Aware Natural Language Query Recommendations for Visual Data Analysis
- Weakly Supervised Scene Text Detection using Deep Reinforcement Learning
- MetaDance: Few-shot Dancing Video Retargeting via Temporal-aware Meta-learning
- Bridging Video-text Retrieval with Multiple Choice Questions
- Reconstructing Training Data with Informed Adversaries
- Multi-task Pre-training Language Model for Semantic Network Completion
- Transforming UNL graphs in OWL representations
- SnapshotNet: Self-supervised Feature Learning for Point Cloud Data Segmentation Using Minimal Labeled Data
- Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysis
- Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting
- Document-level Relation Extraction with Context Guided Mention Integration and Inter-pair Reasoning
- A Geometric Approach to k-means
- Deep Rank-Consistent Pyramid Model for Enhanced Crowd Counting
- Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP)
- Direct Mutation and Crossover in Genetic Algorithms Applied to Reinforcement Learning Tasks
- Recursive Least Squares for Training and Pruning Convolutional Neural Networks
- Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel Segmentation via Disentangling Representation Style Transfer and Collaborative Consistency Learning
- Recognizing semantic relation in sentence pairs using Tree-RNNs and Typed dependencies
- Conditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial Networks
- Active Learning-Based Multistage Sequential Decision-Making Model with Application on Common Bile Duct Stone Evaluation
- RealGait: Gait Recognition for Person Re-Identification
All 121
- Non-Stationary Representation Learning in Sequential Linear Bandits
- Scalable Cluster-Consistency Statistics for Robust Multi-Object Matching
- CFNet: Learning Correlation Functions for One-Stage Panoptic Segmentation
- EMT-NET: Efficient multitask network for computer-aided diagnosis of breast cancer
- Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection
- Trusted Media Challenge Dataset and User Study
- A Non-Classical Parameterization for Density Estimation Using Sample Moments
- Privacy-Utility Trades in Crowdsourced Signal Map Obfuscation
- Recursive Least Squares Policy Control with Echo State Network
- A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19
- Unlocking large-scale crop field delineation in smallholder farming systems with transfer learning and weak supervision
- Certifiable Robustness for Nearest Neighbor Classifiers
- MAg: a simple learning-based patient-level aggregation method for detecting microsatellite instability from whole-slide images
- On Sampling Collaborative Filtering Datasets
- Collision Detection: An Improved Deep Learning Approach Using SENet and ResNext
- Privacy Amplification by Subsampling in Time Domain
- Roadside Lidar Vehicle Detection and Tracking Using Range And Intensity Background Subtraction
- Spatial-Temporal Map Vehicle Trajectory Detection Using Dynamic Mode Decomposition and Res-UNet+ Neural Networks
- Largest Eigenvalues of the Conjugate Kernel of Single-Layered Neural Networks
- Nanowars can cause epidemic resurgence and fail to promote cooperation
- An Overview of Uncertainty Quantification Methods for Infinite Neural Networks