Papers
Thu 13 May 2021
128 papers
- Reinforcement Learning Based Safe Decision Making for Highway Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
- Coarse-to-Fine Imitation Learning: Robot Manipulation from a Single DemonstrationOffline RL and imitation learning from data → Robot manipulation imitation learning
- Grad-TTS: A Diffusion Probabilistic Model for Text-to-SpeechDiffusion models → Audio, speech and music
- DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural NetworksLLM safety and security → Machine unlearning
- Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic SettingsOffline RL and imitation learning from data → Offline RL algorithms
- Collection and harmonization of system logs and prototypal Analytics services with the Elastic (ELK) suite at the INFN-CNAF computing centre
- Assessing bikeability with street view imagery and computer vision
- Efficient and accurate group testing via Belief Propagation: an empirical study
- Emergent Prosociality in Multi-Agent Games Through Gifting
- An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research
- Empirical Evaluation of Biased Methods for Alpha Divergence Minimization
- Handwriting Recognition with Novelty
- Online Algorithms and Policies Using Adaptive and Machine Learning Approaches
- Simplified Kripke semantics for K45-like Godel modal logics and its axiomatic extensions
- The Dynamics of Gradient Descent for Overparametrized Neural Networks
- Physical Artificial Intelligence: The Concept Expansion of Next-Generation Artificial Intelligence
- SpikeMS: Deep Spiking Neural Network for Motion Segmentation
- Extending Models Via Gradient Boosting: An Application to Mendelian Models
- Bias, Fairness, and Accountability with AI and ML Algorithms
- Not All Memories are Created Equal: Learning to Forget by Expiring
- Shades of confusion: Lexical uncertainty modulates ad hoc coordination in an interactive communication task
- Stroke Lesion Segmentation with Visual Cortex Anatomy Alike Neural Nets
- Policy Optimization in Dynamic Bayesian Network Hybrid Models of Biomanufacturing Processes
- Learning Robust Hierarchical Patterns of Human Brain across Many fMRI Studies
- Network Architecture Search for Face Enhancement
- CrossRoI: Cross-camera Region of Interest Optimization for Efficient Real Time Video Analytics at Scale
- Distilling BERT for low complexity network training
- Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs
- NLP is Not enough -- Contextualization of User Input in Chatbots
- Internet of Things (IoT) Based Video Analytics: a use case of Smart Doorbell
- Sanity Simulations for Saliency Methods
- Improved Algorithms for Agnostic Pool-based Active Classification
- Deepfake Detection by Human Crowds, Machines, and Machine-informed Crowds
- Advances in Machine and Deep Learning for Modeling and Real-time Detection of Multi-Messenger Sources
- Dynamic View Synthesis from Dynamic Monocular Video
- Editing Conditional Radiance Fields
- DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision
- Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency
- Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On
- 3D Spatial Recognition without Spatially Labeled 3D
- End-to-End Sequential Sampling and Reconstruction for MRI
- High-Resolution Complex Scene Synthesis with Transformers
- Conversational AI Systems for Social Good: Opportunities and Challenges
- SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles
- Episodic Transformer for Vision-and-Language Navigation
- Feature Interactions on Steroids: On the Composition of ML Models
- An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings
- DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization
- Interval Deep Learning for Uncertainty Quantification in Safety Applications
- BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening
- Causally motivated Shortcut Removal Using Auxiliary Labels
- Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation
- OpenFL: An open-source framework for Federated Learning
- SyntheticFur dataset for neural rendering
- Provably Convergent Algorithms for Solving Inverse Problems Using Generative Models
- Providing Assurance and Scrutability on Shared Data and Machine Learning Models with Verifiable Credentials
- Neighborhood-Aware Neural Architecture Search
- HiDeNN-PGD: reduced-order hierarchical deep learning neural networks
- Forensic Analysis of Video Files Using Metadata
- Audio Captioning with Composition of Acoustic and Semantic Information
- Predicting Text Readability from Scrolling Interactions
- Convergence and Implicit Bias of Gradient Flow on Overparametrized Linear Networks
- MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks
- Identity testing of reversible Markov chains
- Addressing Fairness, Bias and Class Imbalance in Machine Learning: the FBI-loss
- 3D-CNN for Facial Micro- and Macro-expression Spotting on Long Video Sequences using Temporal Oriented Reference Frame
- Graph Learning based Recommender Systems: A Review
- Informed Equation Learning
- Vision-Guided Active Tactile Perception for Crack Detection and Reconstruction
- Bootstrapping User and Item Representations for One-Class Collaborative Filtering
- Explainable Machine Learning for Fraud Detection
- Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey
- Memory compression and thermal efficiency of quantum implementations of non-deterministic hidden Markov models
- A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels
- Intelligence and Unambitiousness Using Algorithmic Information Theory
- Exploring CTC Based End-to-End Techniques for Myanmar Speech Recognition
- Video Corpus Moment Retrieval with Contrastive Learning
- Likelihoods and Parameter Priors for Bayesian Networks
- Multi-scale Regional Attention Deeplab3+: Multiple Myeloma Plasma Cells Segmentation in Microscopic Images
- Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters
- Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition
- SIDE: State Inference for Partially Observable Cooperative Multi-Agent Reinforcement Learning
- LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment
- VSR: A Unified Framework for Document Layout Analysis combining Vision, Semantics and Relations
- TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets
- Linguistic Inspired Graph Analysis
- Quantized Proximal Averaging Network for Analysis Sparse Coding
- Geometric Model Checking of Continuous Space
- SizeNet: Object Recognition via Object Real Size-based Convolutional Networks
- Adaptive Test-Time Augmentation for Low-Power CPU
- Global Wheat Challenge 2020: Analysis of the competition design and winning models
- Paying Attention to Astronomical Transients: Introducing the Time-series Transformer for Photometric Classification
- HeunNet: Extending ResNet using Heun's Methods
- PassFlow: Guessing Passwords with Generative Flows
- Relation-aware Hierarchical Attention Framework for Video Question Answering
- When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks
- Boosting Light-Weight Depth Estimation Via Knowledge Distillation
- A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data
- Unsupervised Hashing with Contrastive Information Bottleneck
- Adaptive Warm-Start MCTS in AlphaZero-like Deep Reinforcement Learning
All 128
- SAFIN: Arbitrary Style Transfer With Self-Attentive Factorized Instance Normalization
- Value-at-Risk Optimization with Gaussian Processes
- Deep Unsupervised Hashing by Distilled Smooth Guidance
- TAR: Generalized Forensic Framework to Detect Deepfakes using Weakly Supervised Learning
- Negative Selection Algorithm Research and Applications in the last decade: A Review
- Thematic Fit Bits: Annotation Quality and Quantity Interplay for Event Participant Representation
- Superevents: Towards Native Semantic Segmentation for Event-based Cameras
- HINet: Half Instance Normalization Network for Image Restoration
- Learning symbol relation tree for online mathematical expression recognition
- Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network
- Good and Bad Optimization Models: Insights from Rockafellians
- Leveraging Non-uniformity in First-order Non-convex Optimization
- Semi-Supervised Variational Reasoning for Medical Dialogue Generation
- GAN Prior Embedded Network for Blind Face Restoration in the Wild
- House Price Prediction using Satellite Imagery
- Model Pruning Based on Quantified Similarity of Feature Maps
- TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer
- Compatibility-aware Heterogeneous Visual Search
- HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Management
- GIPA: General Information Propagation Algorithm for Graph Learning
- Extreme Face Inpainting with Sketch-Guided Conditional GAN
- Joint Community Detection and Rotational Synchronization via Semidefinite Programming
- Towards Human-Free Automatic Quality Evaluation of German Summarization
- Machine-learning-based investigation on classifying binary and multiclass behavior outcomes of children with PIMD/SMID
- Principled Exploration via Optimistic Bootstrapping and Backward Induction
- Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level
- Robust Dynamic Multi-Modal Data Fusion: A Model Uncertainty Perspective
- Why Does Multi-Epoch Training Help?