Papers
Sat 17 Sep 2022
83 papers
- Parameter-Efficient Conformers via Sharing Sparsely-Gated Experts for End-to-End Speech RecognitionMixture-of-experts → Multimodal MoE models
- Learning to Weight Samples for Dynamic Early-exiting NetworksEfficient LLM inference and serving → Early exit and edge inference
- Structured Knowledge Grounding for Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
- News Headlines Dataset For Sarcasm Detection
- IMDB Spoiler Dataset
- Survey of Query-based Text Summarization
- Performance Evaluation of Query Plan Recommendation with Apache Hadoop and Apache Spark
- Watch What You Pretrain For: Targeted, Transferable Adversarial Examples on Self-Supervised Speech Recognition models
- VDDB: a comprehensive resource and machine learning platform for antiviral drug discovery
- RADio -- Rank-Aware Divergence Metrics to Measure Normative Diversity in News Recommendations
- Flashlight: Scalable Link Prediction with Effective Decoders
- Artificial Intelligence in Concrete Materials: A Scientometric View
- Robust Online and Distributed Mean Estimation Under Adversarial Data Corruption
- Non-Imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey
- DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in Dynamic Environments
- Constrained Policy Optimization for Controlled Self-Learning in Conversational AI Systems
- Introspective Learning : A Two-Stage Approach for Inference in Neural Networks
- Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural Networks
- Computed Decision Weights and a New Learning Algorithm for Neural Classifiers
- Sample-based Uncertainty Quantification with a Single Deterministic Neural Network
- Spatial-Temporal Deep Embedding for Vehicle Trajectory Reconstruction from High-Angle Video
- Characterizing Internal Evasion Attacks in Federated Learning
- DynaConF: Dynamic Forecasting of Non-Stationary Time Series
- Uncertainty Guided Policy for Active Robotic 3D Reconstruction using Neural Radiance Fields
- Advertising Media and Target Audience Optimization via High-dimensional Bandits
- Approximation results for Gradient Descent trained Shallow Neural Networks in 1d
- Reconfigurable Intelligent Surface-assisted Classification of Modulations using Deep Learning
- Linking Neural Collapse and L2 Normalization with Improved Out-of-Distribution Detection in Deep Neural Networks
- Unveil the unseen: Exploit information hidden in noise
- CodeQueries: A Dataset of Semantic Queries over Code
- Interrelation of equivariant Gaussian processes and convolutional neural networks
- From Disfluency Detection to Intent Detection and Slot Filling
- Differentiable Topology-Preserved Distance Transform for Pulmonary Airway Segmentation
- Human Pose Driven Object Effects Recommendation
- Sample-Efficient Multi-Agent Reinforcement Learning with Demonstrations for Flocking Control
- Sub-optimal Policy Aided Multi-Agent Reinforcement Learning for Flocking Control
- Shape Completion with Points in the Shadow
- Data Efficient Visual Place Recognition Using Extremely JPEG-Compressed Images
- OA-SLAM: Leveraging Objects for Camera Relocalization in Visual SLAM
- Lightweight Spatial-Channel Adaptive Coordination of Multilevel Refinement Enhancement Network for Image Reconstruction
- Efficient Deep Clustering of Human Activities and How to Improve Evaluation
- RGB-Event Fusion for Moving Object Detection in Autonomous Driving
- Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances
- On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled Data
- An Empathetic AI Coach for Self-Attachment Therapy
- De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs
- AdaCC: Cumulative Cost-Sensitive Boosting for Imbalanced Classification
- A review of predictive uncertainty estimation with machine learning
- Active-Passive SimStereo -- Benchmarking the Cross-Generalization Capabilities of Deep Learning-based Stereo Methods
- Changer: Feature Interaction is What You Need for Change Detection
- Continuously Controllable Facial Expression Editing in Talking Face Videos
- Self-supervised learning of hologram reconstruction using physics consistency
- FR: Folded Rationalization with a Unified Encoder
- Detecting Generated Scientific Papers using an Ensemble of Transformer Models
- Improved Generalization Bound and Learning of Sparsity Patterns for Data-Driven Low-Rank Approximation
- MiNL: Micro-images based Neural Representation for Light Fields
- CARNet:Compression Artifact Reduction for Point Cloud Attribute
- Low-Rank Covariance Completion for Graph Quilting with Applications to Functional Connectivity
- TripleRE: Knowledge Graph Embeddings via Tripled Relation Vectors
- 6DOF Pose Estimation of a 3D Rigid Object based on Edge-enhanced Point Pair Features
- Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach
- Scalable SoftGroup for 3D Instance Segmentation on Point Clouds
- A study on the deviations in performance of FNNs and CNNs in the realm of grayscale adversarial images
- A real-time dynamic obstacle tracking and mapping system for UAV navigation and collision avoidance with an RGB-D camera
- Can segmentation models be trained with fully synthetically generated data?
- Mitigating Both Covariate and Conditional Shift for Domain Generalization
- Quantum Computing Methods for Supply Chain Management
- MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning
- DiPietro-Hazari Kappa: A Novel Metric for Assessing Labeling Quality via Annotation
- Fast, Accurate and Object Boundary-Aware Surface Normal Estimation from Depth Maps
- Deep Plug-and-Play Prior for Hyperspectral Image Restoration
- Understanding the Impact of Image Quality and Distance of Objects to Object Detection Performance
- Unsupervised Lexical Substitution with Decontextualised Embeddings
- Learning Distinct and Representative Styles for Image Captioning
- A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems
- Few-Shot Classification with Contrastive Learning
- Joint Network Topology Inference via a Shared Graphon Model
- Neural Implicit Surface Reconstruction using Imaging Sonar
- Delving Globally into Texture and Structure for Image Inpainting
- Compose & Embellish: Well-Structured Piano Performance Generation via A Two-Stage Approach
- ANet: Autoencoder-Based Local Field Potential Feature Extractor for Evaluating An Antidepressant Effect in Mice after Administering Kratom Leaf Extracts
- APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversations
- Selective Token Generation for Few-shot Natural Language Generation