Papers
Sun 13 Jun 2021
98 papers
- Bellman-consistent Pessimism for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability AuthorizationLLM safety and security → Watermarking generated content and models
- FGLP: A Federated Fine-Grained Location Prediction System for Mobile Users
- DMSANet: Dual Multi Scale Attention Network
- Reducing Effects of Swath Gaps on Unsupervised Machine Learning Models for NASA MODIS Instruments
- User Acceptance of Gender Stereotypes in Automated Career Recommendations
- Pointwise Feasibility of Gaussian Process-based Safety-Critical Control under Model Uncertainty
- Alignment and Comparison of Directed Networks via Transition Couplings of Random Walks
- A News-based Machine Learning Model for Adaptive Asset Pricing
- Security Analysis of Camera-LiDAR Fusion Against Black-Box Attacks on Autonomous Vehicles
- On the Convergence of Differentially Private Federated Learning on Non-Lipschitz Objectives, and with Normalized Client Updates
- On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification
- A new soft computing method for integration of expert's knowledge in reinforcement learn-ing problems
- Survey: Image Mixing and Deleting for Data Augmentation
- Semi-verified PAC Learning from the Crowd
- Revisiting consistency for semi-supervised semantic segmentation
- RadArnomaly: Protecting Radar Systems from Data Manipulation Attacks
- HistoTransfer: Understanding Transfer Learning for Histopathology
- Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimization
- Atlas Based Representation and Metric Learning on Manifolds
- FairCanary: Rapid Continuous Explainable Fairness
- Schema-Guided Paradigm for Zero-Shot Dialog
- GenSF: Simultaneous Adaptation of Generative Pre-trained Models and Slot Filling
- Convex Sparse Blind Deconvolution
- Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data
- Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis
- Target Model Agnostic Adversarial Attacks with Query Budgets on Language Understanding Models
- Towards Tight Bounds on the Sample Complexity of Average-reward MDPs
- Optimal detection of the feature matching map in presence of noise and outliers
- Correcting Exposure Bias for Link Recommendation
- Contingency-Aware Influence Maximization: A Reinforcement Learning Approach
- Protein-Ligand Docking Surrogate Models: A SARS-CoV-2 Benchmark for Deep Learning Accelerated Virtual Screening
- Deep Bayesian Unsupervised Lifelong Learning
- An Extended Multi-Model Regression Approach for Compressive Strength Prediction and Optimization of a Concrete Mixture
- Understanding the Interplay between Privacy and Robustness in Federated Learning
- Category Theory in Machine Learning
- The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware
- Reborn Mechanism: Rethinking the Negative Phase Information Flow in Convolutional Neural Network
- Styleformer: Transformer based Generative Adversarial Networks with Style Vector
- Generation of the NIR spectral Band for Satellite Images with Convolutional Neural Networks
- WASE: Learning When to Attend for Speaker Extraction in Cocktail Party Environments
- Siamese Network Training Using Artificial Triplets By Sampling and Image Transformation
- Incomplete Gamma Integrals for Deep Cascade Prediction using Content, Network, and Exogenous Signals
- Noise2Score: Tweedie's Approach to Self-Supervised Image Denoising without Clean Images
- Experimental Analysis of Trajectory Control Using Computer Vision and Artificial Intelligence for Autonomous Vehicles
- XConv: Low-memory stochastic backpropagation for convolutional layers
- Post-hoc loss-calibration for Bayesian neural networks
- Pyramidal Dense Attention Networks for Lightweight Image Super-Resolution
- Is Perfect Filtering Enough Leading to Perfect Phase Correction for dMRI data?
- BoolNet: Minimizing The Energy Consumption of Binary Neural Networks
- The DEformer: An Order-Agnostic Distribution Estimating Transformer
- NDPNet: A novel non-linear data projection network for few-shot fine-grained image classification
- Learning the Imaging Landmarks: Unsupervised Key point Detection in Lung Ultrasound Videos
- A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration
- Two-way Spectrum Pursuit for CUR Decomposition and Its Application in Joint Column/Row Subset Selection
- Thinking Like Transformers
- An Approach Towards Physics Informed Lung Ultrasound Image Scoring Neural Network for Diagnostic Assistance in COVID-19
- Game of GANs: Game-Theoretical Models for Generative Adversarial Networks
- RCURRENCY: Live Digital Asset Trading Using a Recurrent Neural Network-based Forecasting System
- NLHD: A Pixel-Level Non-Local Retinex Model for Low-Light Image Enhancement
- SoundDet: Polyphonic Moving Sound Event Detection and Localization from Raw Waveform
- Feedback Pyramid Attention Networks for Single Image Super-Resolution
- Contrastive Attention for Automatic Chest X-ray Report Generation
- Shape of Elephant: Study of Macro Properties of Word Embeddings Spaces
- Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation
- Representation and Correlation Enhanced Encoder-Decoder Framework for Scene Text Recognition
- Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs
- AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data
- Towards Understanding Iterative Magnitude Pruning: Why Lottery Tickets Win
- Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
- Boosting Randomized Smoothing with Variance Reduced Classifiers
- SASICM A Multi-Task Benchmark For Subtext Recognition
- A Stronger Baseline for Ego-Centric Action Detection
- Cross-Modal Attention Consistency for Video-Audio Unsupervised Learning
- Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning
- Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
- Active Learning for Network Traffic Classification: A Technical Study
- Characterizing the Gap Between Actor-Critic and Policy Gradient
- Learning on Abstract Domains: A New Approach for Verifiable Guarantee in Reinforcement Learning
- Inverting Adversarially Robust Networks for Image Synthesis
- Deep Learning for Predictive Analytics in Reversible Steganography
- Cross-utterance Reranking Models with BERT and Graph Convolutional Networks for Conversational Speech Recognition
- Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient
- Multi-modal Scene-compliant User Intention Estimation in Navigation
- ATRAS: Adversarially Trained Robust Architecture Search
- An Interaction-based Convolutional Neural Network (ICNN) Towards Better Understanding of COVID-19 X-ray Images
- Sentiment Analysis of Covid-19 Tweets using Evolutionary Classification-Based LSTM Model
- GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio
- Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation
- ADVERT: An Adaptive and Data-Driven Attention Enhancement Mechanism for Phishing Prevention
- InfoBehavior: Self-supervised Representation Learning for Ultra-long Behavior Sequence via Hierarchical Grouping
- Memory-efficient Transformers via Top-k Attention
- Learning Dissipative Dynamics in Chaotic Systems
- SAR Image Change Detection Based on Multiscale Capsule Network
- FeSHI: Feature Map Based Stealthy Hardware Intrinsic Attack
- Stochastic Alternating Direction Method of Multipliers for Byzantine-Robust Distributed Learning
- The Spatio-Temporal Poisson Point Process: A Simple Model for the Alignment of Event Camera Data
- Online Learning with Optimism and Delay