Papers
Mon 21 Jun 2021
202 papers
- Membership Inference on Word Embedding and BeyondLLM safety and security → Membership inference attacks
- OptiDICE: Offline Policy Optimization via Stationary Distribution Correction EstimationOffline RL and imitation learning from data → Offline RL algorithms
- Medical Profile Model: Scientific and Practical Applications in Healthcare
- Improved Padding in CNNs for Quantitative Susceptibility Mapping
- Boggart: Towards General-Purpose Acceleration of Retrospective Video Analytics
- EPMF: Efficient Perception-aware Multi-sensor Fusion for 3D Semantic Segmentation
- How to Reach Real-Time AI on Consumer Devices? Solutions for Programmable and Custom Architectures
- On the potential of sequential and non-sequential regression models for Sentinel-1-based biomass prediction in Tanzanian miombo forests
- Zero-shot learning approach to adaptive Cybersecurity using Explainable AI
- Self-Attentive Ensemble Transformer: Representing Ensemble Interactions in Neural Networks for Earth System Models
- Coherent, super resolved radar beamforming using self-supervised learning
- Objective discovery of dominant dynamical processes with intelligible machine learning
- Next-Day Bitcoin Price Forecast Based on Artificial intelligence Methods
- Optimizing piano practice with a utility-based scaffold
- Long short-term relevance learning
- Deep Gaussian Processes: A Survey
- Emphatic Algorithms for Deep Reinforcement Learning
- A Comprehensive Survey of Image-Based Food Recognition and Volume Estimation Methods for Dietary Assessment
- Trinity: A No-Code AI platform for complex spatial datasets
- Physics-constrained deep neural network method for estimating parameters in a redox flow battery
- Encoder-Decoder Architectures for Clinically Relevant Coronary Artery Segmentation
- Instance-Optimal Compressed Sensing via Posterior Sampling
- Incremental Deep Neural Network Learning using Classification Confidence Thresholding
- ConvDySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention and Convolutional Neural Networks
- Local convexity of the TAP free energy and AMP convergence for Z2-synchronization
- Efficient Inference via Universal LSH Kernel
- HODA: Hardness-Oriented Detection of Model Extraction Attacks
- Normalized Avatar Synthesis Using StyleGAN and Perceptual Refinement
- MODETR: Moving Object Detection with Transformers
- Policy Smoothing for Provably Robust Reinforcement Learning
- Interpretable Model-based Hierarchical Reinforcement Learning using Inductive Logic Programming
- A Survey of Race, Racism, and Anti-Racism in NLP
- Learn Like The Pro: Norms from Theory to Size Neural Computation
- Deep Learning Models in Detection of Dietary Supplement Adverse Event Signals from Twitter
- Spatio-Temporal Multi-Task Learning Transformer for Joint Moving Object Detection and Segmentation
- Evaluating Team Skill Aggregation in Online Competitive Games
- BiAdam: Fast Adaptive Bilevel Optimization Methods
- Mapping Slums with Medium Resolution Satellite Imagery: a Comparative Analysis of Multi-Spectral Data and Grey-level Co-occurrence Matrix Techniques
- A Turing Test for Transparency
- Robust and Heterogenous Odds Ratio: Estimating Price Sensitivity for Unbought Items
- How well do you know your summarization datasets?
- BEyond observation: an approach for ObjectNav
- Phrase-level Active Learning for Neural Machine Translation
- Tensor Learning-based Precoder Codebooks for FD-MIMO Systems
- Distributed Heuristic Multi-Agent Path Finding with Communication
- Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records
- Photozilla: A Large-Scale Photography Dataset and Visual Embedding for 20 Photography Styles
- FDeblur-GAN: Fingerprint Deblurring using Generative Adversarial Network
- GAIA: A Transfer Learning System of Object Detection that Fits Your Needs
- Cogment: Open Source Framework For Distributed Multi-actor Training, Deployment & Operations
- f-Domain-Adversarial Learning: Theory and Algorithms
- Dive into Deep Learning
- Do sound event representations generalize to other audio tasks? A case study in audio transfer learning
- Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal CT Images
- Image simulation for space applications with the SurRender software
- Feedback Shaping: A Modeling Approach to Nurture Content Creation
- Towards Long-Form Video Understanding
- How Do Adam and Training Strategies Help BNNs Optimization?
- Fast Simultaneous Gravitational Alignment of Multiple Point Sets
- Simple Distillation Baselines for Improving Small Self-supervised Models
- Understanding Object Dynamics for Interactive Image-to-Video Synthesis
- Nested Variational Inference
- Boundary Graph Neural Networks for 3D Simulations
- TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?
- Smooth Sequential Optimisation with Delayed Feedback
- A Discriminative Entity-Aware Language Model for Virtual Assistants
- Fully automated quantification of in vivo viscoelasticity of prostate zones using magnetic resonance elastography with Dense U-net segmentation
- The Arm-Swing Is Discriminative in Video Gait Recognition for Athlete Re-Identification
- Attention-based Neural Network for Driving Environment Complexity Perception
- Neural Marching Cubes
- Compositional federated learning: Applications in distributionally robust averaging and meta learning
- Secure Distributed Training at Scale
- Applying VertexShuffle Toward 360-Degree Video Super-Resolution on Focused-Icosahedral-Mesh
- VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning
- 2D vs. 3D LiDAR-based Person Detection on Mobile Robots
- Can poachers find animals from public camera trap images?
- Instrumental Variable Estimation for Compositional Treatments
- Affinity Mixup for Weakly Supervised Sound Event Detection
- Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering
- Can contrastive learning avoid shortcut solutions?
- AOMD: An Analogy-aware Approach to Offensive Meme Detection on Social Media
- Corruption Robust Active Learning
- Data Optimisation for a Deep Learning Recommender System
- Machine Learning based optimization for interval uncertainty propagation
- Stratified Learning: A General-Purpose Statistical Method for Improved Learning under Covariate Shift
- Temporal Early Exits for Efficient Video Object Detection
- Deep Learning-Based Active User Detection for Grant-free SCMA Systems
- Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification
- Self-Calibrating Neural-Probabilistic Model for Authorship Verification Under Covariate Shift
- Multi-level Feature Learning for Contrastive Multi-view Clustering
- Well-tuned Simple Nets Excel on Tabular Datasets
- On fine-tuning of Autoencoders for Fuzzy rule classifiers
- Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization
- Abstract Geometrical Computation 11: Slanted Firing Squad Synchronisation on Signal Machines
- NetTraj: A Network-based Vehicle Trajectory Prediction Model with Directional Representation and Spatiotemporal Attention Mechanisms
- Does Optimal Source Task Performance Imply Optimal Pre-training for a Target Task?
- TNT: Text-Conditioned Network with Transductive Inference for Few-Shot Video Classification
- UniTTS: Residual Learning of Unified Embedding Space for Speech Style Control
- 3D Shape Registration Using Spectral Graph Embedding and Probabilistic Matching
- Effects of boundary conditions in fully convolutional networks for learning spatio-temporal dynamics
All 202
- Multi-Agent Curricula and Emergent Implicit Signaling
- Automatic Plant Cover Estimation with Convolutional Neural Networks
- OadTR: Online Action Detection with Transformers
- Explicit Interaction Network for Aspect Sentiment Triplet Extraction
- FP-Age: Leveraging Face Parsing Attention for Facial Age Estimation in the Wild
- Scientific multi-agent reinforcement learning for wall-models of turbulent flows
- GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction
- Graceful Degradation and Related Fields
- SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving
- Matrix Encoding Networks for Neural Combinatorial Optimization
- Multivariate Data Explanation by Jumping Emerging Patterns Visualization
- Decadal Forecasts with ResDMD: a Residual DMD Neural Network
- Low-rank Dictionary Learning for Unsupervised Feature Selection
- Distilling effective supervision for robust medical image segmentation with noisy labels
- Obstacle Detection for BVLOS Drones
- CLIP2Video: Mastering Video-Text Retrieval via Image CLIP
- Learning to Rank Question Answer Pairs with Bilateral Contrastive Data Augmentation
- Analytically Tractable Bayesian Deep Q-Learning
- Conditional Neural Relational Inference for Interacting Systems
- EML Online Speech Activity Detection for the Fearless Steps Challenge Phase-III
- Affine-Invariant Integrated Rank-Weighted Depth: Definition, Properties and Finite Sample Analysis
- Improving Multi-Modal Learning with Uni-Modal Teachers
- Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations
- Towards Better Shale Gas Production Forecasting Using Transfer Learning
- CataNet: Predicting remaining cataract surgery duration
- One Million Scenes for Autonomous Driving: ONCE Dataset
- Neural Controlled Differential Equations for Online Prediction Tasks
- Interventional Video Grounding with Dual Contrastive Learning
- Delving into the pixels of adversarial samples
- BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
- Estimating MRI Image Quality via Image Reconstruction Uncertainty
- ImageNet Pre-training also Transfers Non-Robustness
- SHREC 2021: Track on Skeleton-based Hand Gesture Recognition in the Wild
- Attribute Selection using Contranominal Scales
- Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier
- Anticipatory Detection of Compulsive Body-focused Repetitive Behaviors with Wearables
- Towards a Framework for Changing-Contact Robot Manipulation
- Segmentation of cell-level anomalies in electroluminescence images of photovoltaic modules
- Extractive approach for text summarisation using graphs
- Spliced Binned-Pareto Distribution for Robust Modeling of Heavy-tailed Time Series
- Multiple Object Tracking with Mixture Density Networks for Trajectory Estimation
- Leveraging Conditional Generative Models in a General Explanation Framework of Classifier Decisions
- Defeasible Reasoning via Datalog^neg
- Hard hat wearing detection based on head keypoint localization
- Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand
- A Game-Theoretic Taxonomy of Visual Concepts in DNNs
- TCIC: Theme Concepts Learning Cross Language and Vision for Image Captioning
- On Limited-Memory Subsampling Strategies for Bandits
- GRAND: Graph Neural Diffusion
- STEP-EZ: Syntax Tree guided semantic ExPlanation for Explainable Zero-shot modeling of clinical depression symptoms from text
- Unsupervised Deep Learning by Injecting Low-Rank and Sparse Priors
- Cross-layer Navigation Convolutional Neural Network for Fine-grained Visual Classification
- Surgical data science for safe cholecystectomy: a protocol for segmentation of hepatocystic anatomy and assessment of the critical view of safety
- Approximation capabilities of measure-preserving neural networks
- Variational multiple shooting for Bayesian ODEs with Gaussian processes
- Federated Learning with Positive and Unlabeled Data
- Software-Based Dialogue Systems: Survey, Taxonomy and Challenges
- Self-Supervised Tracking via Target-Aware Data Synthesis
- Ad Text Classification with Transformer-Based Natural Language Processing Methods
- BanditMF: Multi-Armed Bandit Based Matrix Factorization Recommender System
- PIANO: A Parametric Hand Bone Model from Magnetic Resonance Imaging
- Open-set Label Noise Can Improve Robustness Against Inherent Label Noise
- Brain tumor grade classification Using LSTM Neural Networks with Domain Pre-Transforms
- Trust It or Not: Confidence-Guided Automatic Radiology Report Generation
- Proceedings Eighteenth Conference on Theoretical Aspects of Rationality and Knowledge
- Knowledge Distillation via Instance-level Sequence Learning
- Affect-driven Ordinal Engagement Measurement from Video
- DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation
- Total Generate: Cycle in Cycle Generative Adversarial Networks for Generating Human Faces, Hands, Bodies, and Natural Scenes
- An End-to-End Khmer Optical Character Recognition using Sequence-to-Sequence with Attention
- FedCM: Federated Learning with Client-level Momentum
- Non-native English lexicon creation for bilingual speech synthesis
- Customizing Graph Neural Networks using Path Reweighting
- Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation
- ArgFuse: A Weakly-Supervised Framework for Document-Level Event Argument Aggregation
- Multiplying Matrices Without Multiplying
- Moving in a 360 World: Synthesizing Panoramic Parallaxes from a Single Panorama
- CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction
- On the Importance of Environments in Human-Robot Coordination
- CUDA-GHR: Controllable Unsupervised Domain Adaptation for Gaze and Head Redirection
- Robust Pooling through the Data Mode
- Trainable Class Prototypes for Few-Shot Learning
- Pay Better Attention to Attention: Head Selection in Multilingual and Multi-Domain Sequence Modeling
- Active Learning for Deep Neural Networks on Edge Devices
- Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training
- Interpretable Face Manipulation Detection via Feature Whitening
- Two-Stream Consensus Network: Submission to HACS Challenge 2021 Weakly-Supervised Learning Track
- Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification
- 3D Object Detection for Autonomous Driving: A Survey
- Demonstration of Panda: A Weakly Supervised Entity Matching System
- Stateful ODE-Nets using Basis Function Expansions
- Out of Context: A New Clue for Context Modeling of Aspect-based Sentiment Analysis
- Structured Sparse R-CNN for Direct Scene Graph Generation
- ToAlign: Task-oriented Alignment for Unsupervised Domain Adaptation
- DiGS : Divergence guided shape implicit neural representation for unoriented point clouds
- Adversarial Examples Make Strong Poisons
- Lossy Compression for Lossless Prediction
- CD-SGD: Distributed Stochastic Gradient Descent with Compression and Delay Compensation
- Large-scale image segmentation based on distributed clustering algorithms
- ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction
- Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem
- iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients