Papers
Wed 30 Jun 2021
166 papers
- On the Benefits of Inducing Local Lipschitzness for Robust Generative Adversarial Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-DistillationKnowledge distillation → General knowledge distillation methods
- Local-Global Knowledge Distillation in Heterogeneous Federated Learning with Non-IID DataKnowledge distillation → Federated, robust and private distillation
- JUWELS Booster -- A Supercomputer for Large-Scale AI Research
- Two-phase Optimization of Binary Sequences with Low Peak Sidelobe Level Value
- Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning
- Non-isomorphic Inter-modality Graph Alignment and Synthesis for Holistic Brain Mapping
- National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?
- Efficient Detection of Botnet Traffic by features selection and Decision Trees
- Bio-Inspired Adversarial Attack Against Deep Neural Networks
- Adversarial Machine Learning for Cybersecurity and Computer Vision: Current Developments and Challenges
- Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network
- Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability
- Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT
- On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging
- One-class Steel Detector Using Patch GAN Discriminator for Visualising Anomalous Feature Map
- Applications of the Free Energy Principle to Machine Learning and Neuroscience
- Attention Bottlenecks for Multimodal Fusion
- Learning a Reversible Embedding Mapping using Bi-Directional Manifold Alignment
- Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey
- Classical Planning in Deep Latent Space
- Convex Optimization for Parameter Synthesis in MDPs
- Improving black-box optimization in VAE latent space using decoder uncertainty
- Inverse Design of Grating Couplers Using the Policy Gradient Method from Reinforcement Learning
- CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation
- A Search Engine for Scientific Publications: a Cybersecurity Case Study
- Regressing Location on Text for Probabilistic Geocoding
- Using AntiPatterns to avoid MLOps Mistakes
- Learning to communicate about shared procedural abstractions
- Dep-L0: Improving L0-based Network Sparsification via Dependency Modeling
- Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems
- All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text
- Simple Training Strategies and Model Scaling for Object Detection
- Approximate Regions of Attraction in Learning with Decision-Dependent Distributions
- Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity
- Uncertainty-Aware Learning for Improvements in Image Quality of the Canada-France-Hawaii Telescope
- Zipf's laws of meaning in Catalan
- Extraction of Key-frames of Endoscopic Videos by using Depth Information
- Understanding Adversarial Examples Through Deep Neural Network's Response Surface and Uncertainty Regions
- How to Train Your MAML to Excel in Few-Shot Classification
- Fixed points of nonnegative neural networks
- Multimodal Shape Completion via IMLE
- Long Short-term Cognitive Networks
- Analytic Insights into Structure and Rank of Neural Network Hessian Maps
- Saturated Transformers are Constant-Depth Threshold Circuits
- A data-centric approach for improving ambiguous labels with combined semi-supervised classification and clustering
- Revisiting the Effects of Stochasticity for Hamiltonian Samplers
- In-distribution adversarial attacks on object recognition models using gradient-free search
- An Analysis of the Recent Visibility of the SigDial Conference
- Decentralized Beamforming for Cell-Free Massive MIMO with Unsupervised Learning
- Improving Factual Consistency of Abstractive Summarization on Customer Feedback
- Reinforcement Learning based Disease Progression Model for Alzheimer's Disease
- Integrated Vehicle Routing and Monte Carlo Scheduling Approach for the Home Service Assignment, Routing, and Scheduling Problem
- Early Risk Detection of Pathological Gambling, Self-Harm and Depression Using BERT
- Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms
- Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer
- The MultiBERTs: BERT Reproductions for Robustness Analysis
- Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy
- Nearly-Tight and Oblivious Algorithms for Explainable Clustering
- Deep Convolutional Neural Networks for Onychomycosis Detection
- XLM-E: Cross-lingual Language Model Pre-training via ELECTRA
- Weakly Supervised Temporal Adjacent Network for Language Grounding
- Recurrently Estimating Reflective Symmetry Planes from Partial Pointclouds
- Dual Reweighting Domain Generalization for Face Presentation Attack Detection
- Recognizing Facial Expressions in the Wild using Multi-Architectural Representations based Ensemble Learning with Distillation
- Affective Image Content Analysis: Two Decades Review and New Perspectives
- SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo
- PSD Representations for Effective Probability Models
- Zero-shot Learning with Class Description Regularization
- AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization
- Synthetic Data Are as Good as the Real for Association Knowledge Learning in Multi-object Tracking
- Multi-Source domain adaptation via supervised contrastive learning and confident consistency regularization
- Exploring the Latent Space of Autoencoders with Interventional Assays
- HybridDeepRx: Deep Learning Receiver for High-EVM Signals
- Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems
- Reasoning about conscious experience with axiomatic and graphical mathematics
- Leveraging Hidden Structure in Self-Supervised Learning
- DAEMA: Denoising Autoencoder with Mask Attention
- A Survey on Adversarial Image Synthesis
- IMS' Systems for the IWSLT 2021 Low-Resource Speech Translation Task
- News Article Retrieval in Context for Event-centric Narrative Creation
- Ethical AI-Powered Regression Test Selection
- Relational VAE: A Continuous Latent Variable Model for Graph Structured Data
- Resilient UAV Swarm Communications with Graph Convolutional Neural Network
- Exploring Context Generalizability in Citywide Crowd Mobility Prediction: An Analytic Framework and Benchmark
- Latent Space Model for Higher-order Networks and Generalized Tensor Decomposition
- End-to-End Learning of OFDM Waveforms with PAPR and ACLR Constraints
- ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information
- Learning to Minimize Age of Information over an Unreliable Channel with Energy Harvesting
- A Generative Model for Raw Audio Using Transformer Architectures
- AutoLAW: Augmented Legal Reasoning through Legal Precedent Prediction
- ResViT: Residual vision transformers for multi-modal medical image synthesis
- Real-world Video Deblurring: A Benchmark Dataset and An Efficient Recurrent Neural Network
- Anomaly Detection: How to Artificially Increase your F1-Score with a Biased Evaluation Protocol
- Zero-Shot Estimation of Base Models' Weights in Ensemble of Machine Reading Comprehension Systems for Robust Generalization
- MissFormer: (In-)attention-based handling of missing observations for trajectory filtering and prediction
- Improving the Efficiency of Transformers for Resource-Constrained Devices
- What can linear interpolation of neural network loss landscapes tell us?
- Mutual-GAN: Towards Unsupervised Cross-Weather Adaptation with Mutual Information Constraint
- Single-Step Adversarial Training for Semantic Segmentation
All 166
- Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information
- Word-level Sign Language Recognition with Multi-stream Neural Networks Focusing on Local Regions and Skeletal Information
- Group Testing under Superspreading Dynamics
- Cross-lingual alignments of ELMo contextual embeddings
- Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence
- Hypothetical Expected Utility
- Evaluation of Thematic Coherence in Microblogs
- On the Generative Utility of Cyclic Conditionals
- BLNet: A Fast Deep Learning Framework for Low-Light Image Enhancement with Noise Removal and Color Restoration
- SOLO: A Simple Framework for Instance Segmentation
- A survey on computational spectral reconstruction methods from RGB to hyperspectral imaging
- Augmented Shortcuts for Vision Transformers
- Saddle-to-Saddle Dynamics in Deep Linear Networks: Small Initialization Training, Symmetry, and Sparsity
- Informed Machine Learning for Improved Similarity Assessment in Process-Oriented Case-Based Reasoning
- A Robust Classification-autoencoder to Defend Outliers and Adversaries
- Monte Carlo Variational Auto-Encoders
- On joint training with interfaces for spoken language understanding
- Positive-unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations
- Graph Signal Restoration Using Nested Deep Algorithm Unrolling
- Faithful Edge Federated Learning: Scalability and Privacy
- Learning to Ask Conversational Questions by Optimizing Levenshtein Distance
- Whose Opinions Matter? Perspective-aware Models to Identify Opinions of Hate Speech Victims in Abusive Language Detection
- Fast whole-slide cartography in colon cancer histology using superpixels and CNN classification
- A Structured Analysis of the Video Degradation Effects on the Performance of a Machine Learning-enabled Pedestrian Detector
- Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL
- Mixed Cross Entropy Loss for Neural Machine Translation
- Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study
- Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documents
- Genre determining prediction: Non-standard TAM marking in football language
- Decomposing the Prediction Problem; Autonomous Navigation by neoRL Agents
- Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning
- Understanding and Improving Early Stopping for Learning with Noisy Labels
- Exploring Robust Architectures for Deep Artificial Neural Networks
- Automatically Select Emotion for Response via Personality-affected Emotion Transition
- Edge Representation Learning with Hypergraphs
- Bounded rationality for relaxing best response and mutual consistency: The Quantal Hierarchy model of decision-making
- Dual Aspect Self-Attention based on Transformer for Remaining Useful Life Prediction
- HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction
- Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings
- The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning
- Semantic Segmentation of Periocular Near-Infra-Red Eye Images Under Alcohol Effects
- When Video Classification Meets Incremental Classes
- O2D2: Out-Of-Distribution Detector to Capture Undecidable Trials in Authorship Verification
- Multilayer Networks for Text Analysis with Multiple Data Types
- Explanation-Guided Diagnosis of Machine Learning Evasion Attacks
- On Systematic Style Differences between Unsupervised and Supervised MT and an Application for High-Resource Machine Translation
- AdaPT-GMM: Powerful and robust covariate-assisted multiple testing
- Edge Proposal Sets for Link Prediction
- Optimal Epidemic Control as a Contextual Combinatorial Bandit with Budget
- CityNet: A Comprehensive Multi-Modal Urban Dataset for Advanced Research in Urban Computing
- Content-Aware Convolutional Neural Networks
- Monocular 3D Object Detection: An Extrinsic Parameter Free Approach
- Multi-Source Domain Adaptation for Object Detection
- Learning Bounds for Open-Set Learning
- Distributionally Robust Learning with Stable Adversarial Training
- Exploring Localization for Self-supervised Fine-grained Contrastive Learning
- Long-Short Temporal Modeling for Efficient Action Recognition
- Dense Graph Convolutional Neural Networks on 3D Meshes for 3D Object Segmentation and Classification
- Local Reweighting for Adversarial Training
- Koopman Spectrum Nonlinear Regulators and Efficient Online Learning
- A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers
- Unaware Fairness: Hierarchical Random Forest for Protected Classes
- 10-mega pixel snapshot compressive imaging with a hybrid coded aperture
- The Threat of Offensive AI to Organizations
- Curvature Graph Neural Network
- A Conditional Splitting Framework for Efficient Constituency Parsing