Papers
Mon 25 Jul 2022
171 papers
- WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language ModelsLLM reasoning → Reasoning for agents, planning and code
- Semi-Leak: Membership Inference Attacks Against Semi-supervised LearningLLM safety and security → Membership inference attacks
- Versatile Weight Attack via Flipping Limited BitsLLM safety and security → Backdoor and data poisoning attacks
- Task-Relevant Failure Detection for Trajectory Predictors in Autonomous VehiclesEnd-to-end autonomous driving → End-to-end system architecture
- Edge-Aware Autoencoder Design for Real-Time Mixture-of-Experts Image CompressionMixture-of-experts → Vision mixture-of-experts
- Black-box Few-shot Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words RepresentationsKnowledge distillation → Detection and dense prediction distillation
- HIRE: Distilling High-order Relational Knowledge From Heterogeneous Graph Neural NetworksKnowledge distillation → Graph neural network distillation
- Understanding Deep Learning using Topological Dynamical Systems, Index Theory, and Homology
- Integrating Statistical and Machine Learning Approaches to Identify Receptive Field Structure in Neural Populations
- Transferability limitations for Covid 3D Localization Using SARS-CoV-2 segmentation models in 4D CT images
- Graph neural networks for the prediction of molecular structure-property relationships
- Dynamic Planning in Open-Ended Dialogue using Reinforcement Learning
- SFILES 2.0: An extended text-based flowsheet representation
- D3Former: Debiased Dual Distilled Transformer for Incremental Learning
- A Hazard Analysis Framework for Code Synthesis Large Language Models
- Modelling non-reinforced preferences using selective attention
- VDL-Surrogate: A View-Dependent Latent-based Model for Parameter Space Exploration of Ensemble Simulations
- Learning Generalizable Latent Representations for Novel Degradations in Super Resolution
- Transition1x -- a Dataset for Building Generalizable Reactive Machine Learning Potentials
- Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution
- Translating a Visual LEGO Manual to a Machine-Executable Plan
- Innovations in Neural Data-to-text Generation: A Survey
- Seeing Far in the Dark with Patterned Flash
- AMLB: an AutoML Benchmark
- Static Hand Gesture Recognition for American Sign Language using Neuromorphic Hardware
- Inter-Frame Compression for Dynamic Point Cloud Geometry Coding
- DialCrowd 2.0: A Quality-Focused Dialog System Crowdsourcing Toolkit
- The BUTTER Zone: An Empirical Study of Training Dynamics in Fully Connected Neural Networks
- The Bearable Lightness of Big Data: Towards Massive Public Datasets in Scientific Machine Learning
- p-DkNN: Out-of-Distribution Detection Through Statistical Testing of Deep Representations
- Bayesian tensor factorization for predicting clinical outcomes using integrated human genetics evidence
- Live Stream Temporally Embedded 3D Human Body Pose and Shape Estimation
- Trainability Preserving Neural Pruning
- Cooperative Actor-Critic via TD Error Aggregation
- Approximate Real Symmetric Tensor Rank
- Deep learning-based algorithm for assessment of knee osteoarthritis severity in radiographs matches performance of radiologists
- Optimizing Empty Container Repositioning and Fleet Deployment via Configurable Semi-POMDPs
- On the benefits of non-linear weight updates
- Unsupervised Speaker Diarization that is Agnostic to Language, Overlap-Aware, and Tuning Free
- Benchmark time series data sets for PyTorch -- the torchtime package
- Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors
- NeuriCam: Key-Frame Video Super-Resolution and Colorization for IoT Cameras
- 3D Shape Sequence of Human Comparison and Classification using Current and Varifolds
- Machine Learning to Predict the Antimicrobial Activity of Cold Atmospheric Plasma-Activated Liquids
- Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions
- Overwatch: Learning Patterns in Code Edit Sequences
- Automated discovery of interpretable gravitational-wave population models
- UrduFake@FIRE2020: Shared Track on Fake News Identification in Urdu
- C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning
- Exploring CLIP for Assessing the Look and Feel of Images
- Tuning Stochastic Gradient Algorithms for Statistical Inference via Large-Sample Asymptotics
- Dynamic 3D Scene Analysis by Point Cloud Accumulation
- CelebV-HQ: A Large-Scale Video Facial Attributes Dataset
- Self-Distilled Vision Transformer for Domain Generalization
- SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness
- MemSAC: Memory Augmented Sample Consistency for Large Scale Unsupervised Domain Adaptation
- LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification
- A novel Deep Learning approach for one-step Conformal Prediction approximation
- Fine-Tuning BERT for Automatic ADME Semantic Labeling in FDA Drug Labeling to Enhance Product-Specific Guidance Assessment
- OpenRAN Gym: AI/ML Development, Data Collection, and Testing for O-RAN on PAWR Platforms
- Exploiting High Quality Tactile Sensors for Simplified Grasping
- Developing Optimal Causal Cyber-Defence Agents via Cyber Security Simulation
- Energy-efficient DNN Inference on Approximate Accelerators Through Formal Property Exploration
- Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification
- Technical Report: Assisting Backdoor Federated Learning with Whole Population Knowledge Alignment
- Stable Parallel Training of Wasserstein Conditional Generative Adversarial Neural Networks
- Estimaci'on de 'areas de cultivo mediante Deep Learning y programaci'on convencional
- Error-Aware Spatial Ensembles for Video Frame Interpolation
- Exploiting Diversity of Unlabeled Data for Label-Efficient Semi-Supervised Active Learning
- Deforming Radiance Fields with Cages
- TreeSketchNet: From Sketch To 3D Tree Parameters Generation
- MedML: Fusing Medical Knowledge and Machine Learning Models for Early Pediatric COVID-19 Hospitalization and Severity Prediction
- ArtFID: Quantitative Evaluation of Neural Style Transfer
- Orthogonalization of data via Gromov-Wasserstein type feedback for clustering and visualization
- MAPIE: an open-source library for distribution-free uncertainty quantification
- What is Healthy? Generative Counterfactual Diffusion for Lesion Localization
- Continuous ErrP detections during multimodal human-robot interaction
- Dynamics and triggers of misinformation on vaccines
- SecretGen: Privacy Recovery on Pre-Trained Models via Distribution Discrimination
- Surrogate Modeling of Melt Pool Thermal Field using Deep Learning
- Equivariance and Invariance Inductive Bias for Learning from Insufficient Data
- Lifelong Machine Learning of Functionally Compositional Structures
- Accessing and Interpreting OPC UA Event Traces based on Semantic Process Descriptions
- DeepFusion: Real-Time Dense 3D Reconstruction for Monocular SLAM using Single-View Depth and Gradient Predictions
- OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation
- Personality-Driven Social Multimedia Content Recommendation
- Advancing Semi-Supervised Task Oriented Dialog Systems by JSA Learning of Discrete Latent Variable Models
- Finite-Time Analysis of Asynchronous Q-learning under Diminishing Step-Size from Control-Theoretic View
- Laplacian-based Cluster-Contractive t-SNE for High Dimensional Data Visualization
- Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series
- Improving Adversarial Robustness via Mutual Information Estimation
- Video object tracking based on YOLOv7 and DeepSORT
- Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection
- Hardware-in-the-loop simulation of a UAV autonomous landing algorithm implemented in SoC FPGA
- Domain Decorrelation with Potential Energy Ranking
- On the Learnability of Physical Concepts: Can a Neural Network Understand What's Real?
- Post-processing Networks: Method for Optimizing Pipeline Task-oriented Dialogue Systems using Reinforcement Learning
- How much of UCCA can be predicted from AMR?
- Graph Querying for Semantic Annotations
All 171
- dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification
- Multi-Scale RAFT: Combining Hierarchical Concepts for Learning-based Optical FLow Estimation
- A Multi-Party Dialogue Ressource in French
- Deep Laparoscopic Stereo Matching with Transformers
- Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy
- Improving Pseudo Labels With Intra-Class Similarity for Unsupervised Domain Adaptation
- Label Uncertainty Modeling and Prediction for Speech Emotion Recognition using t-Distributions
- Active Learning Strategies for Weakly-supervised Object Detection
- W2N:Switching From Weak Supervision to Noisy Supervision for Object Detection
- Is GPT-3 all you need for Visual Question Answering in Cultural Heritage?
- IGFormer: Interaction Graph Transformer for Skeleton-based Human Interaction Recognition
- Efficient Classification with Counterfactual Reasoning and Active Learning
- Intention-Conditioned Long-Term Human Egocentric Action Forecasting
- Homomorphism Autoencoder -- Learning Group Structured Representations from Observed Transitions
- Dynamic Channel Selection in Self-Supervised Learning
- Multi-Scale Asset Distribution Model for Dynamic Environments
- Adaptive Asynchronous Control Using Meta-learned Neural Ordinary Differential Equations
- Balancing Stability and Plasticity through Advanced Null Space in Continual Learning
- REPNP: Plug-and-Play with Deep Reinforcement Learning Prior for Robust Image Restoration
- A Reference Data Model for Process-Related User Interaction Logs
- Designing an AI-Driven Talent Intelligence Solution: Exploring Big Data to extend the TOE Framework
- Flowsheet synthesis through hierarchical reinforcement learning and graph neural networks
- Online Reinforcement Learning for Periodic MDP
- Representational Ethical Model Calibration
- Revisiting AP Loss for Dense Object Detection: Adaptive Ranking Pair Selection
- Riemannian Geometry Approach for Minimizing Distortion and its Applications
- What makes you change your mind? An empirical investigation in online group decision-making conversations
- Cost Volume Pyramid Network with Multi-strategies Range Searching for Multi-view Stereo
- Collaboration in Participant-Centric Federated Learning: A Game-Theoretical Perspective
- Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent
- Domain-invariant Feature Exploration for Domain Generalization
- Effective and Interpretable Information Aggregation with Capacity Networks
- LETS-GZSL: A Latent Embedding Model for Time Series Generalized Zero Shot Learning
- Deep dual stream residual network with contextual attention for pansharpening of remote sensing images
- GNN Transformation Framework for Improving Efficiency and Scalability
- Generative Subgraph Contrast for Self-Supervised Graph Representation Learning
- 3D Siamese Transformer Network for Single Object Tracking on Point Clouds
- Information Processing Equalities and the Information-Risk Bridge
- RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation
- Differential testing for machine learning: an analysis for classification algorithms beyond deep learning
- TransCL: Transformer Makes Strong and Flexible Compressive Learning
- Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer
- ConceptBeam: Concept Driven Target Speech Extraction
- Deep Learning for Forecasting the Energy Consumption in Public Buildings
- Forecasting the Short-Term Energy Consumption Using Random Forests and Gradient Boosting
- Deep Forest with Hashing Screening and Window Screening
- An Encryption Method of ConvMixer Models without Performance Degradation
- Reference-based Image Super-Resolution with Deformable Attention Transformer
- Optimal Boxes: Boosting End-to-End Scene Text Recognition by Adjusting Annotated Bounding Boxes via Reinforcement Learning
- Hybrid Classifiers for Spatio-temporal Real-time Abnormal Behaviors Detection, Tracking, and Recognition in Massive Hajj Crowds
- Patchwork++: Fast and Robust Ground Segmentation Solving Partial Under-Segmentation Using 3D Point Cloud
- Analysis and Optimization of GNN-Based Recommender Systems on Persistent Memory
- Boolean and mathbbFp-Matrix Factorization: From Theory to Practice
- Dive into Big Model Training
- NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editing
- Learning a Dual-Mode Speech Recognition Model via Self-Pruning
- Minimax Rates for Robust Community Detection
- Domain Adaptive Person Search
- AI Powered Anti-Cyber Bullying System using Machine Learning Algorithm of Multinomial Naive Bayes and Optimized Linear Support Vector Machine
- On Mitigating Hard Clusters for Face Clustering
- Sub-Aperture Feature Adaptation in Single Image Super-resolution Model for Light Field Imaging
- Overview of the Shared Task on Fake News Detection in Urdu at FIRE 2020
- Salient Object Detection for Point Clouds
- Deep learning based non-contact physiological monitoring in Neonatal Intensive Care Unit
- Sparse-based Domain Adaptation Network for OCTA Image Super-Resolution Reconstruction
- nLMVS-Net: Deep Non-Lambertian Multi-View Stereo
- Seeking Subjectivity in Visual Emotion Distribution Learning
- Towards Complex Document Understanding By Discrete Reasoning
- Improving Bot Response Contradiction Detection via Utterance Rewriting
- Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation
- Learning Relaxation for Multigrid