Papers
Wed 6 Jul 2022
159 papers
- Extending Logical Neural Networks using First-Order TheoriesLLM reasoning → Reasoning benchmarks and evaluation
- Knowing Earlier what Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-Task LearningLLM reasoning → Spatial and embodied reasoning
- Transformers discover an elementary calculation system exploiting local attention and grid-like problem representationLLM reasoning → Mathematical reasoning
- Automatically Assessing Students Performance with Smartphone Data
- Hyperbolic Molecular Representation Learning for Drug Repositioning
- The History of AI Rights Research
- GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion Recognition
- Sequential Recommendation Model for Next Purchase Prediction
- Inferring and Conveying Intentionality: Beyond Numerical Rewards to Logical Intentions
- A Framework Based on Generational and Environmental Response Strategies for Dynamic Multi-objective Optimization
- On Non-Linear operators for Geometric Deep Learning
- Monkeypox Skin Lesion Detection Using Deep Learning Models: A Feasibility Study
- FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments
- Text to Image Synthesis using Stacked Conditional Variational Autoencoders and Conditional Generative Adversarial Networks
- Low-resource Low-footprint Wake-word Detection using Knowledge Distillation
- ACHO: Adaptive Conformal Hyperparameter Optimization
- MaiT: Leverage Attention Masks for More Efficient Image Transformers
- Team Learning as a Lens for Designing Human-AI Co-Creative Systems
- Model Selection in Reinforcement Learning with General Function Approximations
- Orthogonal Matrix Retrieval with Spatial Consensus for 3D Unknown-View Tomography
- Multi-scale Sinusoidal Embeddings Enable Learning on High Resolution Mass Spectrometry Data
- Semi-supervised Human Pose Estimation in Art-historical Images
- Learning Invariant World State Representations with Predictive Coding
- Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding
- Network Binarization via Contrastive Learning
- Unsupervised Manifold Alignment with Joint Multidimensional Scaling
- Mitigating shortage of labeled data using clustering-based active learning with diversity exploration
- The Weaknesses of Adversarial Camouflage in Overhead Imagery
- Quantum compression with classically simulatable circuits
- The "Collections as ML Data" Checklist for Machine Learning & Cultural Heritage
- NeuralGrasps: Learning Implicit Representations for Grasps of Multiple Robotic Hands
- SphereVLAD++: Attention-based and Signal-enhanced Viewpoint Invariant Descriptor
- Context-aware Self-supervised Learning for Medical Images Using Graph Neural Network
- The use of Synthetic Data to solve the scalability and data availability problems in Smart City Digital Twins
- Virtual staining of defocused autofluorescence images of unlabeled tissue using deep neural networks
- Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm
- Boosting the interpretability of clinical risk scores with intervention predictions
- Learning Optimal Solutions via an LSTM-Optimization Framework
- Exploring Runtime Decision Support for Trauma Resuscitation
- On The Universality of Diagrams for Causal Inference and The Causal Reproducing Property
- Towards Substantive Conceptions of Algorithmic Fairness: Normative Guidance from Equal Opportunity Doctrines
- A Survey on Hyperlink Prediction
- Don't overfit the history -- Recursive time series data augmentation
- Humans Social Relationship Classification during Accompaniment
- Verifying the Union of Manifolds Hypothesis for Image Data
- Physical Interaction and Manipulation of the Environment using Aerial Robots
- Perfusion imaging in deep prostate cancer detection from mp-MRI: can we take advantage of it?
- Tensor networks in machine learning
- When does Bias Transfer in Transfer Learning?
- Distributional neural networks for electricity price forecasting
- Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods
- Strong Heuristics for Named Entity Linking
- Towards Counterfactual Image Manipulation via CLIP
- Multi-View Object Pose Refinement With Differentiable Renderer
- Improved conformalized quantile regression
- DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation
- Delving into Sequential Patches for Deepfake Detection
- Rethinking the Value of Gazetteer in Chinese Named Entity Recognition
- A multi-task network approach for calculating discrimination-free insurance prices
- The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning
- Cross-receptive Focused Inference Network for Lightweight Image Super-Resolution
- Private Matrix Approximation and Geometry of Unitary Orbits
- Astroconformer: Inferring Surface Gravity of Stars from Stellar Light Curves with Transformer
- Don't Pay Attention to the Noise: Learning Self-supervised Representations of Light Curves with a Denoising Time Series Transformer
- Local Relighting of Real Scenes
- DIWIFT: Discovering Instance-wise Influential Features for Tabular Data
- Enhancing Adversarial Attacks on Single-Layer NVM Crossbar-Based Neural Networks with Power Consumption Information
- BFE and AdaBFE: A New Approach in Learning Rate Automation for Stochastic Optimization
- TREE-G: Decision Trees Contesting Graph Neural Networks
- STVGFormer: Spatio-Temporal Video Grounding with Static-Dynamic Cross-Modal Understanding
- Robust Counterfactual Explanations for Tree-Based Ensembles
- A Hybrid Approach for Binary Classification of Imbalanced Data
- Real-Time Gesture Recognition with Virtual Glove Markers
- Towards the Use of Saliency Maps for Explaining Low-Quality Electrocardiograms to End Users
- Pre-training Transformers for Molecular Property Prediction Using Reaction Prediction
- Variational Flow Graphical Model
- Deep Learning approach for Classifying Trusses and Runners of Strawberries
- Open- and Closed-Loop Neural Network Verification using Polynomial Zonotopes
- Histopathology DatasetGAN: Synthesizing Large-Resolution Histopathology Datasets
- Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation
- Scaling Private Deep Learning with Low-Rank and Sparse Gradients
- YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
- Team PKU-WICT-MIPL PIC Makeup Temporal Video Grounding Challenge 2022 Technical Report
- Perceptual Quality Assessment of Omnidirectional Images
- Kaggle Competition: Cantonese Audio-Visual Speech Recognition for In-car Commands
- A Challenge on Semi-Supervised and Reinforced Task-Oriented Dialog Systems
- Gaze-Vergence-Controlled See-Through Vision in Augmented Reality
- Effective and Efficient Training for Sequential Recommendation using Recency Sampling
- Reforming an Envy-Free Matching
- Adversarial Robustness of Visual Dialog
- On the Complexity of Rational Verification
- Network Pruning via Feature Shift Minimization
- Context Sensing Attention Network for Video-based Person Re-identification
- The alignment property of SGD noise and how it helps select flat minima: A stability analysis
- L2BN: Enhancing Batch Normalization by Equalizing the L2 Norms of Features
- VMRF: View Matching Neural Radiance Fields
- Securing Optimized Code Against Power Side Channels
- DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition
- GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation
- Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning
All 159
- FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling
- Cascaded Deep Hybrid Models for Multistep Household Energy Consumption Forecasting
- PIC 4th Challenge: Semantic-Assisted Multi-Feature Encoding and Multi-Head Decoding for Dense Video Captioning
- Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design
- Is the U-Net Directional-Relationship Aware?
- voxel2vec: A Natural Language Processing Approach to Learning Distributed Representations for Scientific Data
- Light-weight spatio-temporal graphs for segmentation and ejection fraction prediction in cardiac ultrasound
- Simple and Efficient Heterogeneous Graph Neural Network
- Adaptive deep learning for nonlinear time series models
- AI-enhanced iterative solvers for accelerating the solution of large scale parametrized systems
- Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems
- Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection
- Learning Regularized Multi-Scale Feature Flow for High Dynamic Range Imaging
- Learning to Diversify for Product Question Generation
- Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation
- The Role of Complex NLP in Transformers for Text Ranking?
- Semi-Perspective Decoupled Heatmaps for 3D Robot Pose Estimation from Depth Maps
- Compositional Generalization in Grounded Language Learning via Induced Model Sparsity
- Lightweight Encoder-Decoder Architecture for Foot Ulcer Segmentation
- Identifying and Mitigating Flaws of Deep Perceptual Similarity Metrics
- Pure Transformers are Powerful Graph Learners
- Dual Decision Improves Open-Set Panoptic Segmentation
- Quantitative Assessment of DESIS Hyperspectral Data for Plant Biodiversity Estimation in Australia
- Multi-Contrast MRI Segmentation Trained on Synthetic Images
- Multi-area Target Individual Detection with Free Drawing on Video
- GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation
- A Learning System for Motion Planning of Free-Float Dual-Arm Space Manipulator towards Non-Cooperative Object
- Gender Biases and Where to Find Them: Exploring Gender Bias in Pre-Trained Transformer-based Language Models Using Movement Pruning
- Brain-inspired probabilistic generative model for double articulation analysis of spoken language
- Ordinal Regression via Binary Preference vs Simple Regression: Statistical and Experimental Perspectives
- Information Compression and Performance Evaluation of Tic-Tac-Toe's Evaluation Function Using Singular Value Decomposition
- Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition
- Distillation to Enhance the Portability of Risk Models Across Institutions with Large Patient Claims Database
- Transformers are Adaptable Task Planners
- PAC Prediction Sets for Meta-Learning
- Complementary Bi-directional Feature Compression for Indoor 360deg Semantic Segmentation with Self-distillation
- Multi-Target Search in Euclidean Space with Ray Shooting (Full Version)
- Early Discovery of Emerging Entities in Persian Twitter with Semantic Similarity
- GAMa: Cross-view Video Geo-localization
- DCT-Net: Domain-Calibrated Translation for Portrait Stylization
- Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation
- Aspect-Based Sentiment Analysis using Local Context Focus Mechanism with DeBERTa
- Composite FORCE learning of chaotic echo state networks for time-series prediction
- BioTABQA: Instruction Learning for Biomedical Table Question Answering
- A Deep Model for Partial Multi-Label Image Classification with Curriculum Based Disambiguation
- Careful Seeding for k-Medois Clustering with Incremental k-Means++ Initialization
- White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning
- Chairs Can be Stood on: Overcoming Object Bias in Human-Object Interaction Detection
- Learning Apparent Diffusion Coefficient Maps from Accelerated Radial k-Space Diffusion-Weighted MRI in Mice using a Deep CNN-Transformer Model
- Spatial Transformation for Image Composition via Correspondence Learning
- A Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-based Photometric Image Enhancement Models
- Conditional Distribution Function Estimation Using Neural Networks for Censored and Uncensored Data
- Ensemble feature selection with clustering for analysis of high-dimensional, correlated clinical data in the search for Alzheimer's disease biomarkers
- Patch-wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising
- A Comprehensive Review on Deep Supervision: Theories and Applications
- 3DG-STFM: 3D Geometric Guided Student-Teacher Feature Matching
- Domain Adaptive Video Segmentation via Temporal Pseudo Supervision
- Unsupervised Learning for Human Sensing Using Radio Signals
- Text Enriched Sparse Hyperbolic Graph Convolutional Networks