Papers
Wed 14 Sep 2022
160 papers
- TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE DistillationKnowledge distillation → Distillation for medical imaging
- Compressed Particle-Based Federated Bayesian Learning and UnlearningLLM safety and security → Federated unlearning and poisoning
- Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative ModelsDiffusion models → Image generation, text-to-image and editing
- Correlation Information Bottleneck: Towards Adapting Pretrained Multimodal Models for Robust Visual Question AnsweringMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Lossy Image Compression with Conditional Diffusion ModelsDiffusion models → Diffusion for compression and wireless
- TEAM: a parameter-free algorithm to teach collaborative robots motions from user demonstrationsOffline RL and imitation learning from data → Robot learning from demonstration
- Distributionally Robust Offline Reinforcement Learning with Linear Function ApproximationOffline RL and imitation learning from data → Offline RL algorithms
- C^2:Co-design of Robots via Concurrent Networks Coupling Online and Offline Reinforcement LearningOffline RL and imitation learning from data → Real-world robot offline RL
- Federated Learning based on Defending Against Data Poisoning Attacks in IoTLLM safety and security → Federated unlearning and poisoning
- Accuracy, Fairness, and Interpretability of Machine Learning Criminal Recidivism Models
- Analysis of Reinforcement Learning for determining task replication in workflows
- Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores using Graph Neural Networks and Meta-Learning
- Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans
- Feature-Rich Long-term Bitcoin Trading Assistant
- Solutions to preference manipulation in recommender systems require knowledge of meta-preferences
- Predicting Drug-Drug Interactions using Deep Generative Models on Graphs
- PainPoints: A Framework for Language-based Detection of Chronic Pain and Expert-Collaborative Text-Summarization
- Sequence Learning Using Equilibrium Propagation
- The dGLI Cloth Coordinates: A Topological Representation for Semantic Classification of Cloth States
- Improving Accuracy and Explainability of Online Handwriting Recognition
- Improved proteasomal cleavage prediction with positive-unlabeled learning
- Revisiting Crowd Counting: State-of-the-art, Trends, and Future Perspectives
- Efficient Quantized Sparse Matrix Operations on Tensor Cores
- SQL and NoSQL Databases Software architectures performance analysis and assessments -- A Systematic Literature review
- Wasserstein K-means for clustering probability distributions
- PointACL:Adversarial Contrastive Learning for Robust Point Clouds Representation under Adversarial Attack
- A novel illumination condition varied image dataset-Food Vision Dataset (FVD) for fair and reliable consumer acceptability predictions from food
- On the interplay of adversarial robustness and architecture components: patches, convolution and attention
- Landmark Tracking in Liver US images Using Cascade Convolutional Neural Networks with Long Short-Term Memory
- Metrics to guide development of machine learning algorithms for malaria diagnosis
- Robust Product Classification with Instance-Dependent Noise
- Joint Debiased Representation and Image Clustering Learning with Self-Supervision
- Optimizing Connectivity through Network Gradients for Restricted Boltzmann Machines
- Robust Transferable Feature Extractors: Learning to Defend Pre-Trained Networks Against White Box Adversaries
- Limit Cycles of AdaBoost
- End-to-End Multi-View Structure-from-Motion with Hypercorrelation Volumes
- Prompt-based Conservation Learning for Multi-hop Question Answering
- NanoFlowNet: Real-time Dense Optical Flow on a Nano Quadcopter
- ESSumm: Extractive Speech Summarization from Untranscribed Meeting
- Out of One, Many: Using Language Models to Simulate Human Samples
- Time Series Prediction for Food sustainability
- Vectorized Adjoint Sensitivity Method for Graph Convolutional Neural Ordinary Differential Equations
- On the State of the Art in Authorship Attribution and Authorship Verification
- Robust Constrained Reinforcement Learning
- Sketch of a novel approach to a neural model
- Landmark-free Statistical Shape Modeling via Neural Flow Deformations
- Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications
- Asymptotic Statistical Analysis of f-divergence GAN
- CAT: Controllable Attribute Translation for Fair Facial Attribute Classification
- Robust field-level inference with dark matter halos
- A Temporal Anomaly Detection System for Vehicles utilizing Functional Working Groups and Sensor Channels
- Modifying Squint for Prediction with Expert Advice in a Changing Environment
- An ensemble Multi-Agent System for non-linear classification
- DEANet: Decomposition Enhancement and Adjustment Network for Low-Light Image Enhancement
- Using Genetic Algorithms to Simulate Evolution
- Neural Point-based Shape Modeling of Humans in Challenging Clothing
- Will there be a construction? Predicting road constructions based on heterogeneous spatiotemporal data
- On the Intersection of Context-Free and Regular Languages
- MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms
- PaLI: A Jointly-Scaled Multilingual Language-Image Model
- vec2text with Round-Trip Translations
- Drawing Causal Inferences About Performance Effects in NLP
- Small Transformers Compute Universal Metric Embeddings
- Parameter-Efficient Finetuning for Robust Continual Multilingual Learning
- LibertyMFD: A Lexicon to Assess the Moral Foundation of Liberty
- Falsification of Cyber-Physical Systems using Bayesian Optimization
- MUST-VQA: MUltilingual Scene-text VQA
- Automated Fidelity Assessment for Strategy Training in Inpatient Rehabilitation using Natural Language Processing
- Efficient Unsupervised Learning for Plankton Images
- Toward Improving Health Literacy in Patient Education Materials with Neural Machine Translation Models
- On Language Clustering: A Non-parametric Statistical Approach
- Out-of-Vocabulary Challenge Report
- Modelling Technical and Biological Effects in scRNA-seq data with Scalable GPLVMs
- Natural Language Inference Prompts for Zero-shot Emotion Classification in Text across Corpora
- The Fragility of Multi-Treebank Parsing Evaluation
- FreeGaze: Resource-efficient Gaze Estimation via Frequency Domain Contrastive Learning
- How people talk about each other: Modeling Generalized Intergroup Bias and Emotion
- Efficient Beam Search for Initial Access Using Collaborative Filtering
- UIT-ViCoV19QA: A Dataset for COVID-19 Community-based Question Answering on Vietnamese Language
- SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation
- CoHS-CQG: Context and History Selection for Conversational Question Generation
- WildQA: In-the-Wild Video Question Answering
- Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability
- SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding
- Automatic Comment Generation via Multi-Pass Deliberation
- Integrating Form and Meaning: A Multi-Task Learning Model for Acoustic Word Embeddings
- Transformers and CNNs both Beat Humans on SBIR
- NAAP-440 Dataset and Baseline for Neural Architecture Accuracy Prediction
- Convergence Acceleration in Wireless Federated Learning: A Stackelberg Game Approach
- Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation
- PlaStIL: Plastic and Stable Memory-Free Class-Incremental Learning
- Knowledge Transfer in Deep Reinforcement Learning via an RL-Specific GAN-Based Correspondence Function
- Few Clean Instances Help Denoising Distant Supervision
- Model-based recursive partitioning for discrete event times
- Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks
- Data-Efficient Collaborative Decentralized Thermal-Inertial Odometry
- Combining Metric Learning and Attention Heads For Accurate and Efficient Multilabel Image Classification
- Pre-training for Information Retrieval: Are Hyperlinks Fully Explored?
- Efficient multi-relational network representation using primes
- The Embeddings World and Artificial General Intelligence
All 160
- INV-Flow2PoseNet: Light-Resistant Rigid Object Pose from Optical Flow of RGB-D Images using Images, Normals and Vertices
- Graph Contrastive Learning with Personalized Augmentation
- CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer
- A patch-based architecture for multi-label classification from single label annotations
- Data Privacy and Trustworthy Machine Learning
- Explainable AI for clinical and remote health applications: a survey on tabular and time series data
- FCDSN-DC: An Accurate and Lightweight Convolutional Neural Network for Stereo Estimation with Depth Completion
- ScaTE: A Scalable Framework for Self-Supervised Traversability Estimation in Unstructured Environments
- Preregistered protocol for: Articulatory changes in speech following treatment for oral or oropharyngeal cancer: a systematic review
- Scalable Spatiotemporal Graph Neural Networks
- How to Find Strong Summary Coherence Measures? A Toolbox and a Comparative Study for Summary Coherence Measure Evaluation
- Learning to Evaluate Performance of Multi-modal Semantic Localization
- Order-Disorder: Imitation Adversarial Attacks for Black-box Neural Ranking Models
- BERT-based Ensemble Approaches for Hate Speech Detection
- ParaTTS: Learning Linguistic and Prosodic Cross-sentence Information in Paragraph-based TTS
- Statistical Learning of Value-at-Risk and Expected Shortfall
- COMMA: Modeling Relationship among Motivations, Emotions and Actions in Language-based Human Activities
- Learning Deep Optimal Embeddings with Sinkhorn Divergences
- Personalized Emotion Detection using IoT and Machine Learning
- Finding Common Ground for Incoherent Horn Expressions
- Prediction Intervals and Confidence Regions for Symbolic Regression Models based on Likelihood Profiles
- Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words
- TrADe Re-ID -- Live Person Re-Identification using Tracking and Anomaly Detection
- SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers
- Real-world Video Anomaly Detection by Extracting Salient Features in Videos
- ConvNeXt Based Neural Network for Audio Anti-Spoofing
- CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation Alignment
- A Hybrid Deep Learning Model-based Remaining Useful Life Estimation for Reed Relay with Degradation Pattern Clustering
- Semantic Visual Simultaneous Localization and Mapping: A Survey
- Efficient low-thrust trajectory data generation based on generative adversarial network
- SCULPTOR: Skeleton-Consistent Face Creation Using a Learned Parametric Generator
- Language Chameleon: Transformation analysis between languages using Cross-lingual Post-training based on Pre-trained language models
- Graph Perceiver IO: A General Architecture for Graph Structured Data
- Considering Image Information and Self-similarity: A Compositional Denoising Network
- ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness Mining
- Continuous longitudinal fetus brain atlas construction via implicit neural representation
- Noise2SR: Learning to Denoise from Super-Resolved Single Noisy Fluorescence Image
- Meta Pattern Concern Score: A Novel Evaluation Measure with Human Values for Multi-classifiers
- Viewer-Centred Surface Completion for Unsupervised Domain Adaptation in 3D Object Detection
- Reflectance-Oriented Probabilistic Equalization for Image Enhancement
- Reflectance-Guided, Contrast-Accumulated Histogram Equalization
- A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends
- Point Cloud Registration-Driven Robust Feature Matching for 3D Siamese Object Tracking
- Classical Sequence Match is a Competitive Few-Shot One-Class Learner
- Joint User and Data Detection in Grant-Free NOMA with Attention-based BiLSTM Network
- Jointly Contrastive Representation Learning on Road Network and Trajectory
- TSFool: Crafting Highly-Imperceptible Adversarial Time Series through Multi-Objective Attack
- Analysis of Quantization on MLP-based Vision Models
- iSimLoc: Visual Global Localization for Previously Unseen Environments with Simulated Images
- Self-Supervised Clustering on Image-Subtracted Data with Deep-Embedded Self-Organizing Map
- SEEK: model extraction attack against hybrid secure inference protocols
- Data-Driven Machine Learning Models for a Multi-Objective Flapping Fin Unmanned Underwater Vehicle Control System
- A Review and Roadmap of Deep Learning Causal Discovery in Different Variable Paradigms
- Federated Pruning: Improving Neural Network Efficiency with Federated Learning
- Using Rater and System Metadata to Explain Variance in the VoiceMOS Challenge 2022 Dataset
- DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation
- Using Forwards-Backwards Models to Approximate MDP Homomorphisms
- Tuple Packing: Efficient Batching of Small Graphs in Graph Neural Networks
- Label Refinement Network from Synthetic Error Augmentation for Medical Image Segmentation
- DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction