Papers
Thu 19 May 2022
231 papers
- MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and InterpolationDiffusion models → Video generation
- Selection-Inference: Exploiting Large Language Models for Interpretable Logical ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Data Valuation for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Simple Regularisation for Uncertainty-Aware Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing -- A Reinforcement Learning ApproachEnd-to-end autonomous driving → Reinforcement learning for driving
- IL-flOw: Imitation Learning from Observation using Normalizing FlowsOffline RL and imitation learning from data → Imitation learning methods
- Preliminary study on the impact of EEG density on TMS-EEG classification in Alzheimer's disease
- Sentences as connection paths: A neural language architecture of sentence structure in the brain
- An Algorithmic Approach to Emergence
- Uncertainty Quantification for Transport in Porous media using Parameterized Physics Informed neural Networks
- Women, artificial intelligence, and key positions in collaboration networks: Towards a more equal scientific ecosystem
- Manifold-aligned Neighbor Embedding
- Spatial Transcriptomics Dimensionality Reduction using Wavelet Bases
- Educational Tools for Mapuzugun
- A Hardware-Aware Framework for Accelerating Neural Architecture Search Across Modalities
- SOL: Reducing the Maintenance Overhead for Integrating Hardware Support into AI Frameworks
- EXPANSE: A Deep Continual / Progressive Learning System for Deep Transfer Learning
- Classifying Human Activities using Machine Learning and Deep Learning Techniques
- Cardinality-Minimal Explanations for Monotonic Neural Networks
- Estimating the randomness of quantum circuit ensembles up to 50 qubits
- Breaking the √T Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits
- Let the Model Decide its Curriculum for Multitask Learning
- Interpolating Compressed Parameter Subspaces
- Time Series Anomaly Detection via Reinforcement Learning-Based Model Selection
- A Rule Search Framework for the Early Identification of Chronic Emergency Homeless Shelter Clients
- Beyond Labels: Visual Representations for Bone Marrow Cell Morphology Recognition
- Real Time Multi-Object Detection for Helmet Safety
- Incremental Learning with Differentiable Architecture and Forgetting Search
- Explainable Graph Theory-Based Identification of Meter-Transformer Mapping
- Content-Context Factorized Representations for Automated Speech Recognition
- Transformer with Memory Replay
- Service Delay Minimization for Federated Learning over Mobile Devices
- Gender Bias in Meta-Embeddings
- Automated Scoring for Reading Comprehension via In-context BERT Tuning
- Recurrent segmentation meets block models in temporal networks
- Mean-Field Analysis of Two-Layer Neural Networks: Global Optimality with Linear Convergence Rates
- Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes
- Human Gender Prediction Based on Deep Transfer Learning from Panoramic Radiograph Images
- Confident Clustering via PCA Compression Ratio and Its Application to Single-cell RNA-seq Analysis
- Table Retrieval May Not Necessitate Table-specific Model Design
- Generation of Artificial CT Images using Patch-based Conditional Generative Adversarial Networks
- Single-cell Subcellular Protein Localisation Using Novel Ensembles of Diverse Deep Architectures
- A toolbox for idea generation and evaluation: Machine learning, data-driven, and contest-driven approaches to support idea generation
- HyBNN and FedHyBNN: (Federated) Hybrid Binary Neural Networks
- Why GANs are overkill for NLP
- Summarization as Indirect Supervision for Relation Extraction
- Concurrent Policy Blending and System Identification for Generalized Assistive Control
- Classification of Intra-Pulse Modulation of Radar Signals by Feature Fusion Based Convolutional Neural Networks
- Learning Interface Conditions in Domain Decomposition Solvers
- Towards Understanding Gender-Seniority Compound Bias in Natural Language Generation
- Capturing cross-session neural population variability through self-supervised identification of consistent neuron ensembles
- DPER: Dynamic Programming for Exist-Random Stochastic SAT
- Algorithms for Weak Optimal Transport with an Application to Economics
- Deep Learning Methods for Proximal Inference via Maximum Moment Restriction
- Unsupervised Learning of Depth, Camera Pose and Optical Flow from Monocular Video
- A Learning-Based Approach to Approximate Coded Computation
- MiDAS: Multi-integrated Domain Adaptive Supervision for Fake News Detection
- A Novel Weighted Ensemble Learning Based Agent for the Werewolf Game
- Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems
- Estimation of Entropy in Constant Space with Improved Sample Complexity
- Towards a Holistic View on Argument Quality Prediction
- Label-invariant Augmentation for Semi-Supervised Graph Classification
- Representation Power of Graph Neural Networks: Improved Expressivity via Algebraic Analysis
- Improving Multi-Task Generalization via Regularizing Spurious Correlation
- A Peek at Peak Emotion Recognition
- Causal Discovery and Knowledge Injection for Contestable Neural Networks (with Appendices)
- Residual Dynamic Mode Decomposition: Robust and verified Koopmanism
- Identifying outliers in astronomical images with unsupervised machine learning
- HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers
- Understanding Gradient Descent on Edge of Stability in Deep Learning
- Overcoming Language Disparity in Online Content Classification with Multimodal Learning
- BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving
- Diverse Weight Averaging for Out-of-Distribution Generalization
- AIGenC: An AI generalisation model via creativity
- Foundation Posteriors for Approximate Probabilistic Inference
- Enhancing Slot Tagging with Intent Features for Task Oriented Natural Language Understanding using BERT
- Towards Unified Keyframe Propagation Models
- Reinforcement Learning with Brain-Inspired Modulation can Improve Adaptation to Environmental Changes
- The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics
- RankGen: Improving Text Generation with Large Ranking Models
- Robust and Efficient Medical Imaging with Self-Supervision
- Light In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT's Semantic Segmentation
- HyperAid: Denoising in hyperbolic spaces for tree-fitting and hierarchical clustering
- Flexible Modeling and Multitask Learning using Differentiable Tree Ensembles
- Voxel-informed Language Grounding
- Bi-LSTM Scoring Based Similarity Measurement with Agglomerative Hierarchical Clustering (AHC) for Speaker Diarization
- PLAID: An Efficient Engine for Late Interaction Retrieval
- k-strip: A novel segmentation algorithm in k-space for the application of skull stripping
- Distributed Multi-Agent Deep Reinforcement Learning for Robust Coordination against Noise
- Extract Dynamic Information To Improve Time Series Modeling: a Case Study with Scientific Workflow
- Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis
- Snake net and balloon force with a neural network for detecting multiple phases
- Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging
- Curras + Baladi: Towards a Levantine Corpus
- VNT-Net: Rotational Invariant Vector Neuron Transformers
- ArabGlossBERT: Fine-Tuning BERT on Context-Gloss Pairs for WSD
- Dexterous Robotic Manipulation using Deep Reinforcement Learning and Knowledge Transfer for Complex Sparse Reward-based Tasks
- Metrics of calibration for probabilistic predictions
- Semi-Supervised Learning for Image Classification using Compact Networks in the BioMedical Context
- Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam Search
All 231
- Disentangling Active and Passive Cosponsorship in the U.S. Congress
- Detect Professional Malicious User with Metric Learning in Recommender Systems
- A Note on Categories about Rough Sets
- A graph-transformer for whole slide image classification
- Semi-WTC: A Practical Semi-supervised Framework for Attack Categorization through Weight-Task Consistency
- The AI Mechanic: Acoustic Vehicle Characterization Neural Networks
- Automated Crossword Solving
- The Arabic Ontology -- An Arabic Wordnet with Ontologically Clean Content
- Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation
- Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks
- Wojood: Nested Arabic Named Entity Corpus and Recognition using BERT
- Are Graph Representation Learning Methods Robust to Graph Sparsity and Asymmetric Node Information?
- The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization
- Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models
- SNaC: Coherence Error Detection for Narrative Summarization
- Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking
- Phylogeny-Inspired Adaptation of Multilingual Models to New Languages
- Acceptability Judgements via Examining the Topology of Attention Maps
- What killed the Convex Booster ?
- Focused Adversarial Attacks
- What Is Fairness? On the Role of Protected Attributes and Fictitious Worlds
- Towards a Theory of Faithfulness: Faithful Explanations of Differentiable Classifiers over Continuous Data
- Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification
- A Topological Approach for Semi-Supervised Learning
- Masked Image Modeling with Denoising Contrast
- EXACT: How to Train Your Accuracy
- Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection
- CLCNet: Rethinking of Ensemble Modeling with Classification Confidence Network
- LAGr: Label Aligned Graphs for Better Systematic Generalization in Semantic Parsing
- Robust Deep Neural Network Estimation for Multi-dimensional Functional Data
- CORPS: Cost-free Rigorous Pseudo-labeling based on Similarity-ranking for Brain MRI Segmentation
- A Comparative Study of Feature Expansion Unit for 3D Point Cloud Upsampling
- Transferable Physical Attack against Object Detection with Separable Attention
- Learning Energy Networks with Generalized Fenchel-Young Losses
- How catastrophic can catastrophic forgetting be in linear regression?
- On Trace of PGD-Like Adversarial Attacks
- Multi-Armed Bandits in Brain-Computer Interfaces
- Evonne: Interactive Proof Visualization for Description Logics (System Description) -- Extended Version
- TRT-ViT: TensorRT-oriented Vision Transformer
- A machine transliteration tool between Uzbek alphabets
- Discovering Dynamic Functional Brain Networks via Spatial and Channel-wise Attention
- Learning Graph Structure from Convolutional Mixtures
- Jacobian Granger Causal Neural Networks for Analysis of Stationary and Nonstationary Data
- Augmented Lagrangian Methods for Time-varying Constrained Online Convex Optimization
- Approaching Reflex Predictions as a Classification Problem Using Extended Phonological Alignments
- Provably Precise, Succinct and Efficient Explanations for Decision Trees
- Automatic Spoken Language Identification using a Time-Delay Neural Network
- Continuously-Tempered PDMP Samplers
- Hybrid Intelligent Testing in Simulation-Based Verification
- ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein Evolution
- Deterministic training of generative autoencoders using invertible layers
- Parallel bandit architecture based on laser chaos for reinforcement learning
- Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learning
- Data-driven prediction of Air Traffic Controllers reactions to resolving conflicts
- A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction
- IFTT-PIN: A PIN-Entry Method Leveraging the Self-Calibration Paradigm
- Estimating the ultrasound attenuation coefficient using convolutional neural networks -- a feasibility study
- scICML: Information-theoretic Co-clustering-based Multi-view Learning for the Integrative Analysis of Single-cell Multi-omics data
- Gradient Aligned Attacks via a Few Queries
- Variational Inference for Bayesian Bridge Regression
- Minority Stress Experienced by LGBTQ Online Communities during the COVID-19 Pandemic
- SDS-200: A Swiss German Speech to Standard German Text Corpus
- Psychiatric Scale Guided Risky Post Screening for Early Detection of Depression
- Learning Feature Fusion for Unsupervised Domain Adaptive Person Re-identification
- Differentially private Riemannian optimization
- Spatial Autoregressive Coding for Graph Neural Recommendation
- A Boosting Algorithm for Positive-Unlabeled Learning
- Neural ODEs with Irregular and Noisy Data
- Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters
- Personalized Interventions for Online Moderation
- Why only Micro-F1? Class Weighting of Measures for Relation Classification
- Neural Network Architecture Beyond Width and Depth
- Insights on Neural Representations for End-to-End Speech Recognition
- Differential Privacy: What is all the noise about?
- Learning-based AC-OPF Solvers on Realistic Network and Realistic Loads
- Image Augmentation Based Momentum Memory Intrinsic Reward for Sparse Reward Visual Scenes
- Cross-Enhancement Transformer for Action Segmentation
- PYSKL: Towards Good Practices for Skeleton Action Recognition
- Oracle-MNIST: a Dataset of Oracle Characters for Benchmarking Machine Learning Algorithms
- Gold-standard solutions to the Schr"odinger equation using deep learning: How much physics do we need?
- Adversarial random forests for density estimation and generative modeling
- CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies
- Action Conditioned Tactile Prediction: case study on slip prediction
- Inferring extended summary causal graphs from observational time series
- A Weakly-Supervised Iterative Graph-Based Approach to Retrieve COVID-19 Misinformation Topics
- Machine learning applications for noisy intermediate-scale quantum computers
- Predictive Maintenance using Machine Learning
- Two-Step Question Retrieval for Open-Domain QA
- UIF: An Objective Quality Assessment for Underwater Image Enhancement
- Transformers as Neural Augmentors: Class Conditional Sentence Generation via Variational Bayes
- Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns
- Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation
- Emergent Visual Sensors for Autonomous Vehicles
- BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video
- GitRanking: A Ranking of GitHub Topics for Software Classification using Active Sampling
- Multi-DNN Accelerators for Next-Generation AI Systems
- Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection
- Plane Geometry Diagram Parsing
- Sparse Adversarial Attack in Multi-agent Reinforcement Learning
- Evaluating Subtitle Segmentation for End-to-end Generation Systems
- Continual Pre-Training Mitigates Forgetting in Language and Vision
- Mip-NeRF RGB-D: Depth Assisted Fast Neural Radiance Fields
- Cross-lingual Inflection as a Data Augmentation Method for Parsing
- Bypassing Logits Bias in Online Class-Incremental Learning with a Generative Framework
- Physically-Based Editing of Indoor Scene Lighting from a Single Image
- Consistent Interpolating Ensembles via the Manifold-Hilbert Kernel
- Deep Learning in Business Analytics: A Clash of Expectations and Reality
- A Simple Yet Effective SVD-GCN for Directed Graphs
- Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations
- Dataset Pruning: Reducing Training Data by Examining Generalization Influence
- TransTab: Learning Transferable Tabular Transformers Across Tables
- Let's Talk! Striking Up Conversations via Conversational Visual Question Generation
- Learning from Bootstrapping and Stepwise Reinforcement Reward: A Semi-Supervised Framework for Text Style Transfer
- On Demographic Bias in Fingerprint Recognition
- A Sub-pixel Accurate Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis
- Target-Guided Dialogue Response Generation Using Commonsense and Data Augmentation
- Mitigating Neural Network Overconfidence with Logit Normalization
- Support-set based Multi-modal Representation Enhancement for Video Captioning
- FedILC: Weighted Geometric Mean and Invariant Gradient Covariance for Federated Learning on Non-IID Data
- 3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation
- Are Prompt-based Models Clueless?
- Free Lunch for Surgical Video Understanding by Distilling Self-Supervisions
- Routing and Placement of Macros using Deep Reinforcement Learning
- Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble
- Causal Inference from Small High-dimensional Datasets
- Modeling Exemplification in Long-form Question Answering via Retrieval
- Twist Decoding: Diverse Generators Guide Each Other
- Threshold Designer Adaptation: Improved Adaptation for Designers in Co-creative Systems
- A Mutually Exciting Latent Space Hawkes Process Model for Continuous-time Networks
- Training Vision-Language Transformers from Captions
- Bayesian Convolutional Neural Networks for Limited Data Hyperspectral Remote Sensing Image Classification