Papers
Tue 17 May 2022
158 papers
- Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks using an Incompetent TeacherLLM safety and security → Machine unlearning
- Attention-aware contrastive learning for predicting T cell receptor-antigen binding specificity
- Global Contentious Politics Database (GLOCON) Annotation Manuals
- ViralBERT: A User Focused BERT-Based Approach to Virality Prediction
- Optimists at Heart: Why Do We Research Game AI? (Extended Version)
- The Use of NLP-Based Text Representation Techniques to Support Requirement Engineering Tasks: A Systematic Mapping Review
- A Silicon Photonic Accelerator for Convolutional Neural Networks with Heterogeneous Quantization
- Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings
- User Localization using RF Sensing: A Performance comparison between LIS and mmWave Radars
- Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting
- Spiking Neural Operators for Scientific Machine Learning
- Construction of Rough graph to handle uncertain pattern from an Information System
- Privacy Preserving Image Registration
- Is explainable AI a race against model complexity?
- Mobility, Communication and Computation Aware Federated Learning for Internet of Vehicles
- Exploring the Adjugate Matrix Approach to Quaternion Pose Extraction
- AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications
- Dark solitons in Bose-Einstein condensates: a dataset for many-body physics research
- Predicting failure characteristics of structural materials via deep learning based on nondestructive void topology
- Multilayer Perceptron Based Stress Evolution Analysis under DC Current Stressing for Multi-segment Wires
- Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data
- POViT: Vision Transformer for Multi-objective Design and Characterization of Nanophotonic Devices
- Semantically Accurate Super-Resolution Generative Adversarial Networks
- Intuitive and Efficient Human-robot Collaboration via Real-time Approximate Bayesian Inference
- QAPPA: Quantization-Aware Power, Performance, and Area Modeling of DNN Accelerators
- Need is All You Need: Homeostatic Neural Networks Adapt to Concept Shift
- Frank Wolfe Meets Metric Entropy
- Classification as Direction Recovery: Improved Guarantees via Scale Invariance
- DPO: Dynamic-Programming Optimization on Hybrid Constraints
- Generic and Trend-aware Curriculum Learning for Relation Extraction in Graph Neural Networks
- Geographical Distance Is The New Hyperparameter: A Case Study Of Finding The Optimal Pre-trained Language For English-isiZulu Machine Translation
- A graph representation of molecular ensembles for polymer property prediction
- Towards Robust Low Light Image Enhancement
- Learning to Learn Quantum Turbo Detection
- Bagged Polynomial Regression and Neural Networks
- All-Photonic Artificial Neural Network Processor Via Non-linear Optics
- Multibit Tries Packet Classification with Deep Reinforcement Learning
- OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval
- Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems
- Universal characteristics of deep neural network loss surfaces from random matrix theory
- Deploying self-supervised learning in the wild for hybrid automatic speech recognition
- RARITYNet: Rarity Guided Affective Emotion Learning Framework
- Bayesian Discrete Conditional Transformation Models
- Deep Neural Network Classifier for Multi-dimensional Functional Data
- Quantum Transfer Learning for Wi-Fi Sensing
- Hierarchical Distribution-Aware Testing of Deep Learning
- The Power of Fragmentation: A Hierarchical Transformer Model for Structural Segmentation in Symbolic Music Generation
- Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging
- Text Detection & Recognition in the Wild for Robot Localization
- Strategizing against Learners in Bayesian Games
- Learning Quantum Entanglement Distillation with Noisy Classical Communications
- Disentangling Visual Embeddings for Attributes and Objects
- AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars
- Vision Transformer Adapter for Dense Predictions
- Consistent Human Evaluation of Machine Translation across Language Pairs
- New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma
- Fine-resolution landscape-scale biomass mapping using a spatiotemporal patchwork of LiDAR coverages
- High-dimensional additive Gaussian processes under monotonicity constraints
- Self-supervised Neural Articulated Shape and Appearance Models
- Supervised Learning for Coverage-Directed Test Selection in Simulation-Based Verification
- Do Neural Networks Compress Manifolds Optimally?
- Unsupervised Segmentation in Real-World Images via Spelke Object Inference
- Recovering Private Text in Federated Learning of Language Models
- A CLIP-Hitchhiker's Guide to Long Video Retrieval
- Experimentally realized in situ backpropagation for deep learning in nanophotonic neural networks
- Feature Aggregation in Zero-Shot Cross-Lingual Transfer Using Multilingual BERT
- An Evaluation Framework for Legal Document Summarization
- ColonFormer: An Efficient Transformer based Method for Colon Polyp Segmentation
- Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer
- Robust Losses for Learning Value Functions
- Dynamic Recognition of Speakers for Consent Management by Contrastive Embedding Replay
- Utterance Weighted Multi-Dilation Temporal Convolutional Networks for Monaural Speech Dereverberation
- A Psychological Theory of Explainability
- Connection-minimal Abduction in EL via Translation to FOL -- Technical Report
- On the (In)security of Peer-to-Peer Decentralized Machine Learning
- Conditional Visual Servoing for Multi-Step Tasks
- An Application of a Multivariate Estimation of Distribution Algorithm to Cancer Chemotherapy
- DNNR: Differential Nearest Neighbors Regression
- Can You Still See Me?: Reconstructing Robot Operations Over End-to-End Encrypted Channels
- Semi-Supervised Building Footprint Generation with Feature and Output Consistency Training
- A Comprehensive Study on Artificial Intelligence Algorithms to Implement Safety Using Communication Technologies
- How do Variational Autoencoders Learn? Insights from Representational Similarity
- HoVer-Trans: Anatomy-aware HoVer-Transformer for ROI-free Breast Cancer Diagnosis in Ultrasound Images
- Perturbation of Deep Autoencoder Weights for Model Compression and Classification of Tabular Data
- A unified framework for dataset shift diagnostics
- GraphMapper: Efficient Visual Navigation by Scene Graph Generation
- Exploring the Interactive Guidance for Unified and Effective Image Matting
- Finite Element Method-enhanced Neural Network for Forward and Inverse Problems
- Self-Supervised Learning of Multi-Object Keypoints for Robotic Manipulation
- Accurate Machine Learned Quantum-Mechanical Force Fields for Biomolecular Simulations
- MulT: An End-to-End Multitask Learning Transformer
- Semi-Parametric Contextual Bandits with Graph-Laplacian Regularization
- Experiments on Generalizability of User-Oriented Fairness in Recommender Systems
- Measuring Alignment Bias in Neural Seq2Seq Semantic Parsers
- KGNN: Distributed Framework for Graph Neural Knowledge Representation
- Tackling Math Word Problems with Fine-to-Coarse Abstracting and Reasoning
- A two-steps approach to improve the performance of Android malware detectors
- Detection Masking for Improved OCR on Noisy Documents
- Letters From the Past: Modeling Historical Sound Change Through Diachronic Character Embeddings
- Momentum-Based Policy Gradient with Second-Order Information
All 158
- Learnable Optimal Sequential Grouping for Video Scene Detection
- Monotonicity Regularization: Improved Penalties and Novel Applications to Disentangled Representation Learning and Robust Classification
- IIsy: Practical In-Network Classification
- CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI
- Delaytron: Efficient Learning of Multiclass Classifiers with Delayed Bandit Feedbacks
- LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning
- Hyper-Learning for Gradient-Based Batch Size Adaptation
- ROP inception: signal estimation with quadratic random sketching
- Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement Learning
- blob loss: instance imbalance aware loss functions for semantic segmentation
- DynPL-SVO: A Robust Stereo Visual Odometry for Dynamic Scenes
- An Application of Scenario Exploration to Find New Scenarios for the Development and Testing of Automated Driving Systems in Urban Scenarios
- Sharp asymptotics on the compression of two-layer neural networks
- Moral reinforcement learning using actual causation
- Automatic Acquisition of a Repertoire of Diverse Grasping Trajectories through Behavior Shaping and Novelty Search
- Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility
- SKILL: Structured Knowledge Infusion for Large Language Models
- SAMU-XLSR: Semantically-Aligned Multimodal Utterance-level Cross-Lingual Speech Representation
- Active learning of causal probability trees
- On the Convergence of Policy in Unregularized Policy Mirror Descent
- CellTypeGraph: A New Geometric Computer Vision Benchmark
- SEMI-FND: Stacked Ensemble Based Multimodal Inference For Faster Fake News Detection
- Uncertainty-based Network for Few-shot Image Classification
- UnPWC-SVDLO: Multi-SVD on PointPWC for Unsupervised Lidar Odometry
- Gender and Racial Bias in Visual Question Answering Datasets
- Pairwise Comparison Network for Remote Sensing Scene Classification
- Brachial Plexus Nerve Trunk Segmentation Using Deep Learning: A Comparative Study with Doctors' Manual Segmentation
- Latent Variable Method Demonstrator -- Software for Understanding Multivariate Data Analytics Algorithms
- Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space
- When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning
- Using artificial intelligence to detect chest X-rays with no significant findings in a primary health care setting in Oulu, Finland
- ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks
- Fast and Provably Convergent Algorithms for Gromov-Wasserstein in Graph Data
- Forecasting Solar Power Generation on the basis of Predictive and Corrective Maintenance Activities
- Unbiased Math Word Problems Benchmark for Mitigating Solving Bias
- Computerized Tomography Pulmonary Angiography Image Simulation using Cycle Generative Adversarial Network from Chest CT imaging in Pulmonary Embolism Patients
- Dimensionality Reduced Training by Pruning and Freezing Parts of a Deep Neural Network, a Survey
- Can We Do Better Than Random Start? The Power of Data Outsourcing
- MATrIX -- Modality-Aware Transformer for Information eXtraction
- A Linear Comb Filter for Event Flicker Removal
- Efficient Stereo Depth Estimation for Pseudo LiDAR: A Self-Supervised Approach Based on Multi-Input ResNet Encoder
- Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation
- Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers
- Collaborative Attention Memory Network for Video Object Segmentation
- A Survey on Machine Learning for Geo-Distributed Cloud Data Center Management
- Multi-Head Attention Neural Network for Smartphone Invariant Indoor Localization
- A Framework for CSI-Based Indoor Localization with 1D Convolutional Neural Networks
- Robust Perception Architecture Design for Automotive Cyber-Physical Systems
- Evolution strategies: Application in hybrid quantum-classical neural networks
- "What makes a question inquisitive?" A Study on Type-Controlled Inquisitive Question Generation
- HelixADMET: a robust and endpoint extensible ADMET system incorporating self-supervised knowledge transfer
- Perfect Spectral Clustering with Discrete Covariates
- Shape complexity in cluster analysis
- Explainable and Optimally Configured Artificial Neural Networks for Attack Detection in Smart Homes
- Detection and Physical Interaction with Deformable Linear Objects
- DeepSim: A Reinforcement Learning Environment Build Toolkit for ROS and Gazebo
- Using Embeddings for Causal Estimation of Peer Influence in Social Networks
- On Algebraic Constructions of Neural Networks with Small Weights