Papers
Thu 28 Apr 2022
180 papers
- Inferring Implicit Relations in Complex Questions with Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics GradientsEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Toward Compositional Generalization in Object-Oriented World ModelingWorld models → World models for language agents
- Control-Aware Prediction Objectives for Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- A Survey on Sentence Embedding Models Performance for Patent Analysis
- Local dynamic mode of Cognitive Behavioral Therapy
- Taylor Genetic Programming for Symbolic Regression
- RISCLESS: A Reinforcement Learning Strategy to Exploit Unused Cloud Resources
- Digital Twin Framework for Time to Failure Forecasting of Wind Turbine Gearbox: A Concept
- An Adaptive Incremental Gradient Method With Support for Non-Euclidean Norms
- Transformers in Time-series Analysis: A Tutorial
- A Probabilistic Interpretation of Transformers
- Causal Discovery on the Effect of Antipsychotic Drugs on Delirium Patients in the ICU using Large EHR Dataset
- Cross Cryptocurrency Relationship Mining for Bitcoin Price Prediction
- Let's Agree to Agree: Targeting Consensus for Incomplete Preferences through Majority Dynamics
- The Application of Energy and Laplacian Energy of Hesitancy Fuzzy Graph Based on Similarity Measures in Decision Making Problems
- CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers
- Oracle Guided Image Synthesis with Relative Queries
- Randomized Smoothing under Attack: How Good is it in Pratice?
- A Collection of Quality Diversity Optimization Problems Derived from Hyperparameter Optimization of Machine Learning Models
- Unsupervised Voice-Face Representation Learning by Cross-Modal Prototype Contrast
- Who will stay? Using Deep Learning to predict engagement of citizen scientists
- A Neural Network-enhanced Reproducing Kernel Particle Method for Modeling Strain Localization
- Automatic Machine Learning for Multi-Receiver CNN Technology Classifiers
- An Online Ensemble Learning Model for Detecting Attacks in Wireless Sensor Networks
- Visualization and Optimization Techniques for High Dimensional Parameter Spaces
- Investigating individual writing style as a contributor to gender gaps in science and technology
- BILP-Q: Quantum Coalition Structure Generation
- Instilling Type Knowledge in Language Models via Multi-Task QA
- Probabilistic Models for Manufacturing Lead Times
- Depth Estimation with Simplified Transformer
- AGIC: Approximate Gradient Inversion Attack on Federated Learning
- Pragmatic Clinical Trials in the Rubric of Structural Causal Models
- Formulating Robustness Against Unforeseen Attacks
- CKH: Causal Knowledge Hierarchy for Estimating Structural Causal Models from Data and Priors
- Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version
- Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking
- Faithful to the Document or to the World? Mitigating Hallucinations via Entity-linked Knowledge in Abstractive Summarization
- High Dimensional Bayesian Optimization with Kernel Principal Component Analysis
- BEINIT: Avoiding Barren Plateaus in Variational Quantum Algorithms
- A First Runtime Analysis of the NSGA-II on a Multimodal Problem
- Learning to Split for Automatic Bias Detection
- CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID Vaccines
- GCN-FFNN: A Two-Stream Deep Model for Learning Solution to Partial Differential Equations
- HiNER: A Large Hindi Named Entity Recognition Dataset
- One Model to Synthesize Them All: Multi-contrast Multi-scale Transformer for Missing Data Imputation
- An Intriguing Property of Geophysics Inversion
- Learning cosmology and clustering with cosmic graphs
- Tag-assisted Multimodal Sentiment Analysis under Uncertain Missing Modalities
- Coupling Deep Imputation with Multitask Learning for Downstream Tasks on Genomics Data
- Hyperbolic Hierarchical Knowledge Graph Embeddings for Link Prediction in Low Dimensions
- Neighbor-Based Optimized Logistic Regression Machine Learning Model For Electric Vehicle Occupancy Detection
- NeurMiPs: Neural Mixture of Planar Experts for View Synthesis
- Bilinear value networks
- Linear Temporal Logic Modulo Theories over Finite Traces (Extended Version)
- NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures
- Foundations for learning from noisy quantum experiments
- HuMMan: Multi-Modal 4D Human Dataset for Versatile Sensing and Modeling
- Curriculum Learning for Dense Retrieval Distillation
- Unified Simulation, Perception, and Generation of Human Behavior
- Unaligned Supervision For Automatic Music Transcription in The Wild
- Schr"odinger's FP: Dynamic Adaptation of Floating-Point Containers for Deep Learning Training
- ADVISER: AI-Driven Vaccination Intervention Optimiser for Increasing Vaccine Uptake in Nigeria
- ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation
- Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image Translation
- GRIT: General Robust Image Task Benchmark
- Unlocking High-Accuracy Differentially Private Image Classification through Scale
- Russian Texts Detoxification with Levenshtein Editing
- Learning to Extract Building Footprints from Off-Nadir Aerial Images
- SemAttNet: Towards Attention-based Semantic Aware Guided Depth Completion
- Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly
- Rotationally Equivariant 3D Object Detection
- Standardized Evaluation of Machine Learning Methods for Evolving Data Streams
- Generative Adversarial Networks for Image Super-Resolution: A Survey
- Personalized Federated Learning with Multiple Known Clusters
- Representative period selection for power system planning using autoencoder-based dimensionality reduction
- Process-BERT: A Framework for Representation Learning on Educational Process Data
- Bona fide Riesz projections for density estimation
- MeSHup: A Corpus for Full Text Biomedical Document Indexing
- Emotion Recognition In Persian Speech Using Deep Neural Networks
- Computer Vision for Road Imaging and Pothole Detection: A State-of-the-Art Review of Systems and Algorithms
- Symmetric Transformer-based Network for Unsupervised Image Registration
- An Explainable Regression Framework for Predicting Remaining Useful Life of Machines
- Mixup-based Deep Metric Learning Approaches for Incomplete Supervision
- Learning First-Order Rules with Differentiable Logic Program Semantics
- Life is not Always Depressing: Exploring the Happy Moments of People Diagnosed with Depression
- Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms
- Tragedy Plus Time: Capturing Unintended Human Activities from Weakly-labeled Videos
- Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution
- Predicting batch queue job wait times for informed scheduling of urgent HPC workloads
- Machine Learning for Violence Risk Assessment Using Dutch Clinical Notes
- Inverse-Designed Meta-Optics with Spectral-Spatial Engineered Response to Mimic Color Perception
- On tuning a mean-field model for semi-supervised classification
- What do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification
- UM6P-CS at SemEval-2022 Task 11: Enhancing Multilingual and Code-Mixed Complex Named Entity Recognition via Pseudo Labels using Multilingual Transformer
- Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization
- RobBERTje: a Distilled Dutch BERT Model
- On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model
- Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications
- Post-Training Dialogue Summarization using Pseudo-Paraphrasing
All 180
- Unsupervised Spatial-spectral Hyperspectral Image Reconstruction and Clustering with Diffusion Geometry
- EVI: Multilingual Spoken Dialogue Tasks and Dataset for Knowledge-Based Enrolment, Verification, and Identification
- Representation Recycling for Streaming Video Analysis
- TJ4DRadSet: A 4D Radar Dataset for Autonomous Driving
- COSTI: a New Classifier for Sequences of Temporal Intervals
- Attention Based Neural Networks for Wireless Channel Estimation
- Learning from Pixel-Level Noisy Label : A New Perspective for Light Field Saliency Detection
- Fuzzy Cognitive Maps and Hidden Markov Models: Comparative Analysis of Efficiency within the Confines of the Time Series Classification Task
- Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Shape Matching
- Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction
- TTAGN: Temporal Transaction Aggregation Graph Network for Ethereum Phishing Scams Detection
- Regotron: Regularizing the Tacotron2 architecture via monotonic alignment loss
- DOTIN: Dropping Task-Irrelevant Nodes for GNNs
- AE-NeRF: Auto-Encoding Neural Radiance Fields for 3D-Aware Object Manipulation
- From prediction markets to interpretable collective intelligence
- Hybrid Relation Guided Set Matching for Few-shot Action Recognition
- Autoencoder based Hybrid Multi-Task Predictor Network for Daily Open-High-Low-Close Prices Prediction of Indian Stocks
- Semi-MoreGAN: A New Semi-supervised Generative Adversarial Network for Mixture of Rain Removal
- Simplifying Multilingual News Clustering Through Projection From a Shared Space
- Improving the Robustness of Federated Learning for Severely Imbalanced Datasets
- HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification
- WeaNF: Weak Supervision with Normalizing Flows
- List-Mode PET Image Reconstruction Using Deep Image Prior
- Placing M-Phasis on the Plurality of Hate: A Feature-Based Corpus of Hate Online
- Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features
- Self-supervised Contrastive Learning for Audio-Visual Action Recognition
- Fuzzy Expert System for Stock Portfolio Selection: An Application to Bombay Stock Exchange
- D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research
- Reducing Predictive Feature Suppression in Resource-Constrained Contrastive Image-Caption Retrieval
- Learning General Inventory Management Policy for Large Supply Chain Network
- Machine learning for knowledge acquisition and accelerated inverse-design for non-Hermitian systems
- Morphing Attack Potential
- Phase Shift Design in RIS Empowered Wireless Networks: From Optimization to AI-Based Methods
- On the Role of Field of View for Occlusion Removal with Airborne Optical Sectioning
- Semantic Information Recovery in Wireless Networks
- Tailor: A Prompt-Based Approach to Attribute-Based Controlled Text Generation
- It's DONE: Direct ONE-shot learning with quantile weight imprinting
- Poly-CAM: High resolution class activation map for convolutional neural networks
- Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints
- Attention Mechanism with Energy-Friendly Operations
- RoBLEURT Submission for the WMT2021 Metrics Task
- Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor
- Deep Generalized Unfolding Networks for Image Restoration
- A Closer Look at Branch Classifiers of Multi-exit Architectures
- UniTE: Unified Translation Evaluation
- Actor-Critic Scheduling for Path-Aware Air-to-Ground Multipath Multimedia Delivery
- BAGNet: Bidirectional Aware Guidance Network for Malignant Breast lesions Segmentation
- The Wisdom of Crowds: Temporal Progressive Attention for Early Action Prediction
- An Overview of Color Transfer and Style Transfer for Images and Videos
- Policy Gradient Stock GAN for Realistic Discrete Order Data Generation in Financial Markets
- Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs
- Robots: the Century Past and the Century Ahead
- Refining Diagnosis Paths for Medical Diagnosis based on an Augmented Knowledge Graph
- Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers
- Controllable Image Captioning
- Discriminative-Region Attention and Orthogonal-View Generation Model for Vehicle Re-Identification
- Two Decades of Colorization and Decolorization for Images and Videos
- MMRotate: A Rotated Object Detection Benchmark using PyTorch
- Region-level Contrastive and Consistency Learning for Semi-Supervised Semantic Segmentation
- The Copenhagen Corpus of Eye Tracking Recordings from Natural Reading of Danish Texts
- Improving robustness of language models from a geometry-aware perspective
- AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time
- The Effect of Preferences in Abstract Argumentation Under a Claim-Centric View
- Enhance Ambiguous Community Structure via Multi-strategy Community Related Link Prediction Method with Evolutionary Process
- On the Convergence of Momentum-Based Algorithms for Federated Bilevel Optimization Problems
- Model Selection, Adaptation, and Combination for Transfer Learning in Wind and Photovoltaic Power Forecasts
- Decision Models for Selecting Federated Learning Architecture Patterns
- On the Normalizing Constant of the Continuous Categorical Distribution
- Music Enhancement via Image Translation and Vocoding
- Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer
- Resource-efficient domain adaptive pre-training for medical images
- Automatic Detection and Classification of Symbols in Engineering Drawings
- Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes
- Covariance-aware Feature Alignment with Pre-computed Source Statistics for Test-time Adaptation to Multiple Image Corruptions
- Genetic Improvement in the Shackleton Framework for Optimizing LLVM Pass Sequences
- Cross-modal Memory Networks for Radiology Report Generation
- Watts: Infrastructure for Open-Ended Learning
- BI-GreenNet: Learning Green's functions by boundary integral network
- HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data
- Adversarial Fine-tune with Dynamically Regulated Adversary