Papers
Mon 1 Feb 2021
144 papers
- NeoRL: A Near Real-World Benchmark for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Autonomous Navigation through intersections with Graph ConvolutionalNetworks and Conditional Imitation Learning for Self-driving CarsEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated LearningLLM safety and security → Federated unlearning and poisoning
- Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff PerspectiveKnowledge distillation → General knowledge distillation methods
- End-to-end deep meta modelling to calibrate and optimize energy consumption and comfort
- Layer-based Composite Reputation Bootstrapping
- VIPPrint: A Large Scale Dataset of Printed and Scanned Images for Synthetic Face Images Detection and Source Linking
- Civil Rephrases Of Toxic Texts With Self-Supervised Transformers
- Student sentiment Analysis Using Classification With Feature Extraction Techniques
- A General Framework for the Logical Representation of Combinatorial Exchange Protocols
- Doubly robust Thompson sampling for linear payoffs
- Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question-Answering Data
- Inducing Meaningful Units from Character Sequences with Dynamic Capacity Slot Attention
- "Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision
- The Gene Mover's Distance: Single-cell similarity via Optimal Transport
- Fast Training of Provably Robust Neural Networks by SingleProp
- Emergent Unfairness in Algorithmic Fairness-Accuracy Trade-Off Research
- Causal Inference with the Instrumental Variable Approach and Bayesian Nonparametric Machine Learning
- Generative Spoken Language Modeling from Raw Audio
- Tight Integration of Feature-based Relocalization in Monocular Direct Visual Odometry
- The 4th International Workshop on Smart Simulation and Modelling for Complex Systems
- GraphDF: A Discrete Flow Model for Molecular Graph Generation
- Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation
- Multi-modal Ensemble Models for Predicting Video Memorability
- Reconstruction and Segmentation of Parallel MR Data using Image Domain DEEP-SLR
- Visual Framing of Science Conspiracy Videos: Integrating Machine Learning with Communication Theories to Study the Use of Color and Brightness
- Adjoint Rigid Transform Network: Task-conditioned Alignment of 3D Shapes
- System-reliability based multi-ensemble of GAN and one-class joint Gaussian distributions for unsupervised real-time structural health monitoring
- Improving Distantly-Supervised Relation Extraction through BERT-based Label & Instance Embeddings
- A Tight Bound for Stochastic Submodular Cover
- Real-time Prediction for Mechanical Ventilation in COVID-19 Patients using A Multi-task Gaussian Process Multi-objective Self-attention Network
- toon2real: Translating Cartoon Images to Realistic Images
- Deep Music Information Dynamics
- Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark
- RectiNet-v2: A stacked network architecture for document image dewarping
- SGD Generalizes Better Than GD (And Regularization Doesn't Help)
- Diagnosis of Acute Poisoning Using Explainable Artificial Intelligence
- Universal Neural Vocoding with Parallel WaveNet
- Machine-Learned Phase Diagrams of Generalized Kitaev Honeycomb Magnets
- Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details
- Do Question Answering Modeling Improvements Hold Across Benchmarks?
- Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition
- Automatic Detection of B-lines in Lung Ultrasound Videos From Severe Dengue Patients
- SJ_AJ@DravidianLangTech-EACL2021: Task-Adaptive Pre-Training of Multilingual BERT models for Offensive Language Identification
- Impossible Tuning Made Possible: A New Expert Algorithm and Its Applications
- Scalable, End-to-End, Deep-Learning-Based Data Reconstruction Chain for Particle Imaging Detectors
- Non-uniform Blur Kernel Estimation via Adaptive Basis Decomposition
- Consistent Recurrent Neural Networks for 3D Neuron Segmentation
- Measuring and Improving Consistency in Pretrained Language Models
- End2End Acoustic to Semantic Transduction
- Dosimetric impact of physician style variations in contouring CTV for post-operative prostate cancer: A deep learning-based simulation study
- Hybrid Information-driven Multi-agent Reinforcement Learning
- Inferring spatial relations from textual descriptions of images
- CRPS Learning
- Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search
- Counterfactual Generation with Knockoffs
- Quantum Inspired Adaptive Boosting
- Meta-learning with negative learning rates
- Riemannian Perspective on Matrix Factorization
- Understanding Cache Boundness of ML Operators on ARM Processors
- Information-Theoretic Generalization Bounds for Stochastic Gradient Descent
- Total Least Squares Phase Retrieval
- Neural representation and generation for RNA secondary structures
- Revisiting the Prepositional-Phrase Attachment Problem Using Explicit Commonsense Knowledge
- Forensicability of Deep Neural Network Inference Pipelines
- Counting Protests in News Articles: A Dataset and Semi-Automated Data Collection Pipeline
- Text-to-hashtag Generation using Seq2seq Learning
- Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring
- DRLDO: A novel DRL based De-ObfuscationSystem for Defense against Metamorphic Malware
- Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models
- Semi-Supervised Disentanglement of Class-Related and Class-Independent Factors in VAE
- Gamified Crowdsourcing for Idiom Corpora Construction
- Decentralized Federated Learning Preserves Model and Data Privacy
- A probabilistic Taylor expansion with Gaussian processes
- The Complexity of Learning Linear Temporal Formulas from Examples
- Scaling Federated Learning for Fine-tuning of Large Language Models
- Self-Supervised Equivariant Scene Synthesis from Video
- Hierarchical Variational Autoencoder for Visual Counterfactuals
- Painless step size adaptation for SGD
- On Scaling Contrastive Representations for Low-Resource Speech Recognition
- Dynamic Texture Recognition via Nuclear Distances on Kernelized Scattering Histogram Spaces
- Machine learning pipeline for battery state of health estimation
- Semantic Grouping Network for Video Captioning
- Automatic Expansion of Domain-Specific Affective Models for Web Intelligence Applications
- Automated Query Reformulation for Efficient Search based on Query Logs From Stack Overflow
- Metric-Type Identification for Multi-Level Header Numerical Tables in Scientific Papers
- Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms
- About Face: A Survey of Facial Recognition Evaluation
- Segmenting Microcalcifications in Mammograms and its Applications
- Phoneme-BERT: Joint Language Modelling of Phoneme Sequence and ASR Transcript
- Few-shot Image Classification with Multi-Facet Prototypes
- Landmark Breaker: Obstructing DeepFake By Disturbing Landmark Extraction
- A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators
- An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image Reconstruction
- Many Hands Make Light Work: Using Essay Traits to Automatically Score Essays
- GTAE: Graph-Transformer based Auto-Encoders for Linguistic-Constrained Text Style Transfer
- Fast rates in structured prediction
- Quantum Fair Machine Learning
- Learning to Combat Noisy Labels via Classification Margins
- Classifications based on response times for detecting early-stage Alzheimer's disease
All 144
- Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions
- Hybrid Beamforming for mmWave MU-MISO Systems Exploiting Multi-agent Deep Reinforcement Learning
- Stochastic Online Convex Optimization. Application to probabilistic time series forecasting
- Generalized non-stationary bandits
- Benchmarking of Deep Learning Irradiance Forecasting Models from Sky Images -- an in-depth Analysis
- Video Transformer Network
- Aurora Guard: Reliable Face Anti-Spoofing via Mobile Lighting System
- Characterizing and comparing external measures for the assessment of cluster analysis and community detection
- A reproducibility study of "Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space"
- Numerical Weather Forecasting using Convolutional-LSTM with Attention and Context Matcher Mechanisms
- Despeckling Sentinel-1 GRD images by deep learning and application to narrow river segmentation
- Ground-aware Monocular 3D Object Detection for Autonomous Driving
- A NIR-to-VIS face recognition via part adaptive and relation attention module
- Exploiting multi-temporal information for improved speckle reduction of Sentinel-1 SAR images by deep learning
- Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification
- Hierarchical Ranking for Answer Selection
- Underwater Image Enhancement via Learning Water Type Desensitized Representations
- Twice Mixing: A Rank Learning based Quality Assessment Approach for Underwater Image Enhancement
- Probabilistic Learning Vector Quantization on Manifold of Symmetric Positive Definite Matrices
- Densely Connected Recurrent Residual (Dense R2UNet) Convolutional Neural Network for Segmentation of Lung CT Images
- Towards Speeding up Adversarial Training in Latent Spaces
- Commonsense Knowledge Mining from Term Definitions
- Forecasting Action through Contact Representations from First Person Video
- Rescuing Deep Hashing from Dead Bits Problem
- An End-to-End Food Image Analysis System
- Computing the Hazard Ratios Associated with Explanatory Variables Using Machine Learning Models of Survival Data
- Bridging Unpaired Facial Photos And Sketches By Line-drawings
- ConvNets for Counting: Object Detection of Transient Phenomena in Steelpan Drums
- Spatiotemporal Ground Reaction Force Analysis using Convolutional Neural Networks to Analyze Parkinsonian Gait
- Human Perceptions on Moral Responsibility of AI: A Case Study in AI-Assisted Bail Decision-Making
- Polyphone Disambiguation in Mandarin Chinese with Semi-Supervised Learning
- The Controllability of Planning, Responsibility, and Security in Automatic Driving Technology
- Neural Network architectures to classify emotions in Indian Classical Music
- The Harrington Yowlumne Narrative Corpus
- RoutingGAN: Routing Age Progression and Regression with Disentangled Learning
- Deep High-Resolution Network for Low Dose X-ray CT Denoising
- Few-shot Learning for CT Scan based COVID-19 Diagnosis
- Box Re-Ranking: Unsupervised False Positive Suppression for Domain Adaptive Pedestrian Detection
- Neural OCR Post-Hoc Correction of Historical Corpora
- Multi-Agent Reinforcement Learning with Temporal Logic Specifications
- A Secure Learning Control Strategy via Dynamic Camouflaging for Unknown Dynamical Systems under Attacks
- Interpretable Reinforcement Learning Inspired by Piaget's Theory of Cognitive Development
- Impulse data models for the inverse problem of electrocardiography
- Using Recursive KMeans and Dijkstra Algorithm to Solve CVRP