Papers
Wed 8 Sep 2021
174 papers
- Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement LearningLLM safety and security → Membership inference attacks
- Dual Correction Strategy for Ranking Distillation in Top-N Recommender SystemKnowledge distillation → Distillation for recommender systems
- Unsupervised Text Mining of COVID-19 Records
- Bilateral Trade: A Regret Minimization Perspective
- TruthfulQA: Measuring How Models Mimic Human Falsehoods
- CoviHawkes: Temporal Point Process and Deep Learning based Covid-19 forecasting for India
- Resolving gas bubbles ascending in liquid metal from low-SNR neutron radiography images
- Energy-Efficient Mobile Robot Control via Run-time Monitoring of Environmental Complexity and Computing Workload
- Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection
- DAE : Discriminatory Auto-Encoder for multivariate time-series anomaly detection in air transportation
- Constants of Motion: The Antidote to Chaos in Optimization and Game Dynamics
- Iterated Vector Fields and Conservatism, with Applications to Federated Learning
- PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems
- Improving Building Segmentation for Off-Nadir Satellite Imagery
- TrAISformer -- A Transformer Network with Sparse Augmented Data Representation and Cross Entropy Loss for AIS-based Vessel Trajectory Prediction
- AdjointNet: Constraining machine learning models with physics-based codes
- NU:BRIEF -- A Privacy-aware Newsletter Personalization Engine for Publishers
- Attributing Fair Decisions with Attention Interventions
- Learning the Physics of Particle Transport via Transformers
- SensiX++: Bringing MLOPs and Multi-tenant Model Serving to Sensory Edge Devices
- Sharp regret bounds for empirical Bayes and compound decision problems
- A Formal Description of Sorani Kurdish Morphology
- Unsupervised Pre-training with Structured Knowledge for Improving Natural Language Inference
- What's Hidden in a One-layer Randomly Weighted Transformer?
- Matrix Completion of World Trade
- Transformers in the loop: Polarity in neural models of language
- Quality-Diversity Meta-Evolution: customising behaviour spaces to a meta-objective
- Ensemble Fine-tuned mBERT for Translation Quality Estimation
- A Recipe For Arbitrary Text Style Transfer with Large Language Models
- ELIT: Emory Language and Information Toolkit
- Simplified Quantum Algorithm for the Oracle Identification Problem
- Machine learning modeling of family wide enzyme-substrate specificity screens
- Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models
- SORNet: Spatial Object-Centric Representations for Sequential Manipulation
- Model Explanations via the Axiomatic Causal Lens
- Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems
- On the estimation of discrete choice models to capture irrational customer behaviors
- Automated LoD-2 Model Reconstruction from Very-HighResolution Satellite-derived Digital Surface Model and Orthophoto
- Initialization for Nonnegative Matrix Factorization: a Comprehensive Review
- LSB: Local Self-Balancing MCMC in Discrete Spaces
- Learning the hypotheses space from data through a U-curve algorithm
- Juvenile state hypothesis: What we can learn from lottery ticket hypothesis researches?
- Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems
- Leveraging Code Clones and Natural Language Processing for Log Statement Prediction
- Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation
- Robust Optimal Classification Trees Against Adversarial Examples
- Local Augmentation for Graph Neural Networks
- A Bayesian Framework for Information-Theoretic Probing
- OSSR-PID: One-Shot Symbol Recognition in P&ID Sheets using Path Sampling and GCN
- Knowledge mining of unstructured information: application to cyber-domain
- Sqrt(d) Dimension Dependence of Langevin Monte Carlo
- Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers
- Video2Skill: Adapting Events in Demonstration Videos to Skills in an Environment using Cyclic MDP Homomorphisms
- fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data
- Scaled ReLU Matters for Training Vision Transformers
- Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation
- Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs
- Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking
- AppQ: Warm-starting App Recommendation Based on View Graphs
- Desiderata for Representation Learning: A Causal Perspective
- Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams
- Adaptive Few-Shot Learning PoC Ultrasound COVID-19 Diagnostic System
- Highly Parallel Autoregressive Entity Linking with Discriminative Correction
- FIDNet: LiDAR Point Cloud Semantic Segmentation with Fully Interpolation Decoding
- A Survey on Machine Learning Techniques for Auto Labeling of Video, Audio, and Text Data
- Egocentric View Hand Action Recognition by Leveraging Hand Surface and Hand Grasp Type
- Highly Scalable and Provably Accurate Classification in Poincare Balls
- Axial multi-layer perceptron architecture for automatic segmentation of choroid plexus in multiple sclerosis
- Bag-of-Words vs. Graph vs. Sequence in Text Classification: Questioning the Necessity of Text-Graphs and the Surprising Strength of a Wide MLP
- FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models
- Self- and Pseudo-self-supervised Prediction of Speaker and Key-utterance for Multi-party Dialogue Reading Comprehension
- Training Algorithm Matters for the Performance of Neural Network Potential: A Case Study of Adam and the Kalman Filter Optimizers
- Active Learning by Acquiring Contrastive Examples
- Diagnostics-Guided Explanation Generation
- Memory and Knowledge Augmented Language Models for Inferring Salience in Long-Form Stories
- A robust approach for deep neural networks in presence of label noise: relabelling and filtering instances during training
- Conservative Policy Construction Using Variational Autoencoders for Logged Data with Missing Values
- Cross-Policy Compliance Detection via Question Answering
- Quantile-based fuzzy clustering of multivariate time series in the frequency domain
- Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning
- Multiscale Laplacian Learning
- BotSpot: Deep Learning Classification of Bot Accounts within Twitter
- Speeding up PCA with priming
- Self-explaining variational posterior distributions for Gaussian Process models
- Unsupervised clothing change adaptive person ReID
- Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis
- Continuous Entailment Patterns for Lexical Inference in Context
- Open Aspect Target Sentiment Classification with Natural Language Prompts
- Class-conditioned Domain Generalization via Wasserstein Distributional Robust Optimization
- EMA: Auditing Data Removal from Trained Models
- On Recognizing Occluded Faces in the Wild
- YAHPO Gym -- An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization
- Single Plane-Wave Imaging using Physics-Based Deep Learning
- Label Verbalization and Entailment for Effective Zero- and Few-Shot Relation Extraction
- On Event-Driven Knowledge Graph Completion in Digital Factories
- Sustainable Modular Debiasing of Language Models
- Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach
- Discrete and Soft Prompting for Multilingual Models
- Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation
- Deep Learning for Multi-View Ultrasonic Image Fusion
All 174
- Tactile Image-to-Image Disentanglement of Contact Geometry from Motion-Induced Shear
- Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Base
- Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids
- Identification of Social-Media Platform of Videos through the Use of Shared Features
- Learn2Agree: Fitting with Multiple Annotators without Objective Ground Truth
- A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict
- Matching in the Dark: A Dataset for Matching Image Pairs of Low-light Scenes
- Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes
- Deriving Explanation of Deep Visual Saliency Models
- TrollsWithOpinion: A Dataset for Predicting Domain-specific Opinion Manipulation in Troll Memes
- Biomedical and Clinical Language Models for Spanish: On the Benefits of Domain-Specific Pretraining in a Mid-Resource Scenario
- LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR
- NSP-BERT: A Prompt-based Few-Shot Learner Through an Original Pre-training Task--Next Sentence Prediction
- X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning
- Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-Learning
- Cross-lingual Offensive Language Identification for Low Resource Languages: The Case of Marathi
- Time Alignment using Lip Images for Frame-based Electrolaryngeal Voice Conversion
- A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions
- On the Transferability of Pre-trained Language Models: A Study from Artificial Datasets
- DeepAltTrip: Top-k Alternative Itineraries for Trip Recommendation
- RefineCap: Concept-Aware Refinement for Image Captioning
- Elastic Significant Bit Quantization and Acceleration for Deep Neural Networks
- RepNAS: Searching for Efficient Re-parameterizing Blocks
- R2-D2: A Modular Baseline for Open-Domain Question Answering
- How do I update my model? On the resilience of Predictive Process Monitoring models to change
- Temporal RoI Align for Video Object Recognition
- FaceCook: Face Generation Based on Linear Scaling Factors
- Cross-linguistic differences in gender congruency effects: Evidence from meta-analyses
- Social Analysis of Young Basque Speaking Communities in Twitter
- Shuffled Patch-Wise Supervision for Presentation Attack Detection
- Pose-guided Inter- and Intra-part Relational Transformer for Occluded Person Re-Identification
- Sequence Level Contrastive Learning for Text Summarization
- Estimating Expected Calibration Errors
- Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation
- A Bottom-up method Towards the Automatic and Objective Monitoring of Smoking Behavior In-the-wild using Wrist-mounted Inertial Sensors
- Understanding and Preparing Data of Industrial Processes for Machine Learning Applications
- Preprocessing and Modeling of Radial Fan Data for Health State Prediction
- A Deep Reinforcement Learning Approach for Online Parcel Assignment
- A Survey of Sound Source Localization with Deep Learning Methods
- Level Set Binocular Stereo with Occlusions
- Recalibrating the KITTI Dataset Camera Setup for Improved Odometry Accuracy
- Uncertainty Quantification and Experimental Design for Large-Scale Linear Inverse Problems under Gaussian Process Priors
- Signal-domain representation of symbolic music for learning embedding spaces
- Which and Where to Focus: A Simple yet Accurate Framework for Arbitrary-Shaped Nearby Text Detection in Scene Images
- Convergence of Batch Asynchronous Stochastic Approximation With Applications to Reinforcement Learning
- Toward Real-World Super-Resolution via Adaptive Downsampling Models
- ADER:Adapting between Exploration and Robustness for Actor-Critic Methods
- Unfolding Taylor's Approximations for Image Restoration
- Referee: Towards reference-free cross-speaker style transfer with low-quality data for expressive speech synthesis
- ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question Answering over Historical News Collections
- SSEGEP: Small SEGment Emphasized Performance evaluation metric for medical image segmentation
- A Clustering-aided Ensemble Method for Predicting Ridesourcing Demand in Chicago
- Fixed Support Tree-Sliced Wasserstein Barycenter
- Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow
- Computing on Functions Using Randomized Vector Representations
- Mask is All You Need: Rethinking Mask R-CNN for Dense and Arbitrary-Shaped Scene Text Detection
- RGB-D Salient Object Detection with Ubiquitous Target Awareness
- It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books
- Vision Matters When It Should: Sanity Checking Multimodal Machine Translation Models
- YouRefIt: Embodied Reference Understanding with Language and Gesture
- GTT-Net: Learned Generalized Trajectory Triangulation
- Mixup Decoding for Diverse Machine Translation
- Entangled Datasets for Quantum Machine Learning
- Master Face Attacks on Face Recognition Systems
- A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent
- Learning to Discriminate Information for Online Action Detection: Analysis and Application
- Visual Sensation and Perception Computational Models for Deep Learning: State of the art, Challenges and Prospects
- On Characterizing the Trade-off in Invariant Representation Learning
- RoadAtlas: Intelligent Platform for Automated Road Defect Detection and Asset Management
- DeepZensols: Deep Natural Language Processing Framework
- Self-supervised Contrastive Cross-Modality Representation Learning for Spoken Question Answering
- Application of Ghost-DeblurGAN to Fiducial Marker Detection
- Rethinking Multidimensional Discriminator Output for Generative Adversarial Networks
- Malware Squid: A Novel IoT Malware Traffic Analysis Framework using Convolutional Neural Network and Binary Visualisation