Papers
Tue 25 Oct 2022
244 papers
- A new Stack Autoencoder: Neighbouring Sample Envelope Embedded Stack Autoencoder Ensemble ModelMechanistic interpretability → Sparse autoencoder training and evaluation
- Search for Concepts: Discovering Visual Concepts Using Direct OptimizationLLM reasoning → Multimodal reasoning
- Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real DataEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Robustness of Locally Differentially Private Graph Analysis Against PoisoningLLM safety and security → Membership inference attacks
- Lafite2: Few-shot Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
- Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
- From Points to Functions: Infinite-dimensional Representations in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Online Cross-Layer Knowledge Distillation on Graph Neural Networks with Deep SupervisionKnowledge distillation → Graph neural network distillation
- XRICL: Cross-lingual Retrieval-Augmented In-Context Learning for Cross-lingual Text-to-SQL Semantic ParsingRetrieval-augmented generation → Generation and context integration
- A POMDP Model for Safe Geological Carbon Sequestration
- A Streamlit-based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks
- How Long Is Enough? Exploring the Optimal Intervals of Long-Range Clinical Note Language Modeling
- Cloning Ideology and Style using Deep Learning
- Computer-Aided Modelling of the Bilingual Word Indices to the Ninth-Century Uchitel'noe evangelie
- Dynamic weights enabled Physics-Informed Neural Network for simulating the mobility of Engineered Nano-particles in a contaminated aquifer
- Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective from the Time-Frequency Analysis
- Emotion Recognition With Temporarily Localized 'Emotional Events' in Naturalistic Context
- An IoT Cloud and Big Data Architecture for the Maintenance of Home Appliances
- A machine learning model to identify corruption in M'exico's public procurement contracts
- MemoNet: Memorizing All Cross Features' Representations Efficiently via Multi-Hash Codebook Network for CTR Prediction
- Recommendation with User Active Disclosing Willingness
- CarbonTag: A Browser-Based Method for Approximating Energy Consumption of Online Ads
- An Industrial Workplace Alerting and Monitoring Platform to Prevent Workplace Injury and Accidents
- Adversarial Domain Adaptation for Action Recognition Around the Clock
- Shared Manifold Learning Using a Triplet Network for Multiple Sensor Translation and Fusion with Missing Data
- Hyperspectral images classification and Dimensionality Reduction using Homogeneity feature and mutual information
- A Survey on Fundamental Concepts and Practical Challenges of Hyperspectral images
- Multi-task Video Enhancement for Dental Interventions
- Detecting fake accounts through Generative Adversarial Network in online social media
- Multi-view Representation Learning from Malware to Defend Against Adversarial Variants
- Dynamic Survival Transformers for Causal Inference with Electronic Health Records
- PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits
- Neuro-symbolic partial differential equation solver
- An Intelligent Decision Support Ensemble Voting Model for Coronary Artery Disease Prediction in Smart Healthcare Monitoring Environments
- Linguistic-Enhanced Transformer with CTC Embedding for Speech Recognition
- Improving Imbalanced Text Classification with Dynamic Curriculum Learning
- Semi-Supervised Learning Based on Reference Model for Low-resource TTS
- Towards standardizing Korean Grammatical Error Correction: Datasets and Annotation
- Moment Estimation for Nonparametric Mixture Models Through Implicit Tensor Decomposition
- CLIP-FLow: Contrastive Learning by semi-supervised Iterative Pseudo labeling for Optical Flow Estimation
- Progressive Sentiment Analysis for Code-Switched Text Data
- Deploying a Retrieval based Response Model for Task Oriented Dialogues
- Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport
- Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis
- Adaptive Experimental Design and Counterfactual Inference
- The Monitor Model and its Misconceptions: A Clarification
- Enhancing Product Safety in E-Commerce with NLP
- Federated Learning Using Variance Reduced Stochastic Gradient for Probabilistically Activated Agents
- Auxiliary task discovery through generate-and-test
- LaundroGraph: Self-Supervised Graph Representation Learning for Anti-Money Laundering
- Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations
- Parameter-free Regret in High Probability with Heavy Tails
- RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering
- Arc travel time and path choice model estimation subsumed
- Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe
- Interpolating Discriminant Functions in High-Dimensional Gaussian Latent Mixtures
- New wrapper method based on normalized mutual information for dimension reduction and classification of hyperspectral images
- A single-cell gene expression language model
- Causal Analysis of Syntactic Agreement Neurons in Multilingual Language Models
- ANACONDA: An Improved Dynamic Regret Algorithm for Adaptive Non-Stationary Dueling Bandits
- Artificial ASMR: A Cyber-Psychological Approach
- FO-PINNs: A First-Order formulation for Physics Informed Neural Networks
- Explicitly Increasing Input Information Density for Vision Transformers on Small Datasets
- Object recognition in atmospheric turbulence scenes
- Streaming Submodular Maximization with Differential Privacy
- JAX-DIPS: Neural bootstrapping of finite discretization methods and application to elliptic problems with discontinuities
- On Robust Incremental Learning over Many Multilingual Steps
- Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming
- Learning Better Intent Representations for Financial Open Intent Classification
- WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting
- OpenStance: Real-world Zero-shot Stance Detection
- Wasserstein Archetypal Analysis
- Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT
- Cross-View Image Sequence Geo-localization
- Combined Data and Deep Learning Model Uncertainties: An Application to the Measurement of Solid Fuel Regression Rate
- Refining Action Boundaries for One-stage Detection
- Accelerating Certified Robustness Training via Knowledge Transfer
- Learning in Multi-Player Stochastic Games
- Similarity between Units of Natural Language: The Transition from Coarse to Fine Estimation
- Learning to Augment via Implicit Differentiation for Domain Generalization
- Guiding Users to Where to Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization
- A Survey on Deep Generative 3D-aware Image Synthesis
- Universal Evasion Attacks on Summarization Scoring
- Revision for Concision: A Constrained Paraphrase Generation Task
- Leveraging Open Data and Task Augmentation to Automated Behavioral Coding of Psychotherapy Conversations in Low-Resource Scenarios
- Classification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks
- Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature
- CaloFlow for CaloChallenge Dataset 1
- Neural Architecture Search generated Phase Retrieval Net for Real-time Off-axis Quantitative Phase Imaging
- Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network
- 'A net for everyone': fully personalized and unsupervised neural networks trained with longitudinal data from a single patient
- FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks
- Flexible Android Malware Detection Model based on Generative Adversarial Networks with Code Tensor
- PlanT: Explainable Planning Transformers via Object-Level Representations
- Characterizing information loss in a chaotic double pendulum with the Information Bottleneck
- Redistributor: Transforming Empirical Data Distributions
- In-context Reinforcement Learning with Algorithm Distillation
- pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events
- Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models
All 244
- A Database of Ultrastable MOFs Reassembled from Stable Fragments with Machine Learning Models
- CrisisLTLSum: A Benchmark for Local Crisis Event Timeline Extraction and Summarization
- MOFormer: Self-Supervised Transformer model for Metal-Organic Framework Property Prediction
- Learning Ability of Interpolating Deep Convolutional Neural Networks
- Influence Functions for Sequence Tagging Models
- Towards Interpretable Summary Evaluation via Allocation of Contextual Embeddings to Reference Text Topics
- Weakly Supervised Data Augmentation Through Prompting for Dialogue Understanding
- An approach to the Gaussian RBF kernels via Fock spaces
- From colouring-in to pointillism: revisiting semantic segmentation supervision
- Contrastive Search Is What You Need For Neural Text Generation
- Learning Explicit Object-Centric Representations with Vision Transformers
- PolyHope: Two-Level Hope Speech Detection from Tweets
- IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models
- Goal-Driven Context-Aware Next Service Recommendation for Mashup Composition
- Bit Error and Block Error Rate Training for ML-Assisted Communication
- Exploring Mode Connectivity for Pre-trained Language Models
- Audio MFCC-gram Transformers for respiratory insufficiency detection in COVID-19
- On Fine-Tuned Deep Features for Unsupervised Domain Adaptation
- Learning Individual Treatment Effects under Heterogeneous Interference in Networks
- Eigen Memory Trees
- Useful Confidence Measures: Beyond the Max Score
- Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets
- From exemplar to copy: the scribal appropriation of a Hadewijch manuscript computationally explored
- Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings
- Policy-Guided Lazy Search with Feedback for Task and Motion Planning
- Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds
- SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain
- Revisiting Softmax for Uncertainty Approximation in Text Classification
- Whitening Convergence Rate of Coupling-based Normalizing Flows
- A Comparative Study on Deep-Learning Methods for Dense Image Matching of Multi-angle and Multi-date Remote Sensing Stereo Images
- UNIFY: a Unified Policy Designing Framework for Solving Constrained Optimization Problems with Machine Learning
- SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication
- Improving Group Lasso for high-dimensional categorical data
- The Curious Case of Benign Memorization
- A White-Box Adversarial Attack Against a Digital Twin
- Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search
- Modelling Residential Supply Tasks Based on Digital Orthophotography Using Machine Learning
- Gradient-based Weight Density Balancing for Robust Dynamic Sparse Training
- Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens
- MEW-UNet: Multi-axis representation learning in frequency domain for medical image segmentation
- Parametric PDF for Goodness of Fit
- Unsupervised domain-adaptive person re-identification with multi-camera constraints
- Minutiae-Guided Fingerprint Embeddings via Vision Transformers
- This joke is [MASK]: Recognizing Humor and Offense with Prompting
- Optimization for Amortized Inverse Problems
- Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle
- Learning to Reuse Distractors to support Multiple Choice Question Generation in Education
- Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data
- I Prefer not to Say: Protecting User Consent in Models with Optional Personal Data
- KnowGL: Knowledge Generation and Linking from Text
- Pointly-Supervised Panoptic Segmentation
- Comparing neural network training performance between Elixir and Python
- A Survey on Artificial Intelligence for Music Generation: Agents, Domains and Perspectives
- Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning
- Discourse Context Predictability Effects in Hindi Word Order
- Dual Mechanism Priming Effects in Hindi Word Order
- Multi-Fidelity Bayesian Optimization with Unreliable Information Sources
- CoLoC: Conditioned Localizer and Classifier for Sound Event Localization and Detection
- On the Complexity of Decentralized Smooth Nonconvex Finite-Sum Optimization
- Control and Evaluation of Event Cameras Output Sharpness via Bias
- Deep Crowd Anomaly Detection: State-of-the-Art, Challenges, and Future Research Directions
- A Comparative Attention Framework for Better Few-Shot Object Detection on Aerial Images
- Differentially Private Language Models for Secure Data Sharing
- Connective Reconstruction-based Novelty Detection
- Towards Formal XAI: Formally Approximate Minimal Explanations of Neural Networks
- One-shot, Offline and Production-Scalable PID Optimisation with Deep Reinforcement Learning
- Confidence-Calibrated Face and Kinship Verification
- A Novel Approach for Dimensionality Reduction and Classification of Hyperspectral Images based on Normalized Synergy
- Deep NURBS -- Admissible Physics-informed Neural Networks
- SepLL: Separating Latent Class Labels from Weak Supervision Noise
- Predicting Survival Outcomes in the Presence of Unlabeled Data
- Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal Data
- Real-time AdaBoost cascade face tracker based on likelihood map and optical flow
- A deep learning approach for brain tumor detection using magnetic resonance imaging
- Proximal Mean Field Learning in Shallow Neural Networks
- Towards emotion recognition for virtual environments: an evaluation of EEG features on benchmark dataset
- Jet tagging algorithm of graph network with HaarPooling message passing
- A Dynamical System View of Langevin-Based Non-Convex Sampling
- Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformation
- SUPR: A Sparse Unified Part-Based Human Representation
- LAB: Learnable Activation Binarizer for Binary Neural Networks
- THOR-Net: End-to-end Graformer-based Realistic Two Hands and Object Reconstruction with Self-supervision
- TabMixer: Excavating Label Distribution Learning with Small-scale Features
- DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection
- Multilingual Relation Classification via Efficient and Effective Prompting
- Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts
- Synthetic Data Supervised Salient Object Detection
- Stable Deep MRI Reconstruction using Generative Priors
- FineD-Eval: Fine-grained Automatic Dialogue-Level Evaluation
- IFDID: Information Filter upon Diversity-Improved Decoding for Diversity-Faithfulness Tradeoff in NLG
- End-to-end Transformer for Compressed Video Quality Enhancement
- Instance Segmentation for Chinese Character Stroke Extraction, Datasets and Benchmarks
- A Chinese Spelling Check Framework Based on Reverse Contrastive Learning
- Salient Object Detection via Dynamic Scale Routing
- Online model error correction with neural networks in the incremental 4D-Var framework
- FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification
- MetaSpeech: Speech Effects Switch Along with Environment for Metaverse
- Toward domain generalized pruning by scoring out-of-distribution importance
- Improving Speech Representation Learning via Speech-level and Phoneme-level Masking Approach
- Adapitch: Adaption Multi-Speaker Text-to-Speech Conditioned on Pitch Disentangling with Untranscribed Data
- Deep Boosting Robustness of DNN-based Image Watermarking via DBMark
- Does Medical Imaging learn different Convolution Filters?
- Line Graph Contrastive Learning for Link Prediction
- Analysis of Estimating the Bayes Rule for Gaussian Mixture Models with a Specified Missing-Data Mechanism
- Topical Segmentation of Spoken Narratives: A Test Case on Holocaust Survivor Testimonies
- Towards Trustworthy Multi-label Sewer Defect Classification via Evidential Deep Learning
- IDK-MRC: Unanswerable Questions for Indonesian Machine Reading Comprehension
- SciFact-Open: Towards open-domain scientific claim verification
- Deformations of Boltzmann Distributions
- GlobalFlowNet: Video Stabilization using Deep Distilled Global Motion Estimates
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
- Networked Signal and Information Processing
- Teal: Learning-Accelerated Optimization of WAN Traffic Engineering
- Towards Robust Recommender Systems via Triple Cooperative Defense
- Aboveground carbon biomass estimate with Physics-informed deep network
- DEMETR: Diagnosing Evaluation Metrics for Translation
- Deep Neural Networks as the Semi-classical Limit of Topological Quantum Neural Networks: The problem of generalisation
- Pruning's Effect on Generalization Through the Lens of Training and Regularization
- Better Few-Shot Relation Extraction with Label Prompt Dropout
- Evaluating and Optimizing Hearing-Aid Self-Fitting Methods using Population Coverage
- S3E: A Multi-Robot Multimodal Dataset for Collaborative SLAM
- Multi-modal Dynamic Graph Network: Coupling Structural and Functional Connectome for Disease Diagnosis and Classification
- Facial Action Units Detection Aided by Global-Local Expression Embedding
- ASD: Towards Attribute Spatial Decomposition for Prior-Free Facial Attribute Recognition
- PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion
- Parameter-Efficient Legal Domain Adaptation
- A Spectral Method for Assessing and Combining Multiple Data Visualizations
- Motif-Backdoor: Rethinking the Backdoor Attack on Graph Neural Networks via Motifs
- InForecaster: Forecasting Influenza Hemagglutinin Mutations Through the Lens of Anomaly Detection
- Gaussian Mean Testing Made Simple
- An Effective Deep Network for Head Pose Estimation without Keypoints
- Geo-SIC: Learning Deformable Geometric Shapes in Deep Image Classifiers
- DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality
- Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence
- Worst-Case Adaptive Submodular Cover
- Sequential Decision Making on Unmatched Data using Bayesian Kernel Embeddings
- Highly Efficient Real-Time Streaming and Fully On-Device Speaker Diarization with Multi-Stage Clustering
- FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings
- Bayesian Methods in Automated Vehicle's Car-following Uncertainties: Enabling Strategic Decision Making
- Bridging the Training-Inference Gap for Dense Phrase Retrieval
- Evaluating Parameter Efficient Learning for Generation
- Feng-Shui Compass: A Modern Exploration of Traditional Chinese Environmental Analysis
- Help me write a poem: Instruction Tuning as a Vehicle for Collaborative Poetry Writing
- ConnectedUNets++: Mass Segmentation from Whole Mammographic Images