Papers
Sun 13 Nov 2022
83 papers
- Identifying Coordination in a Cognitive Radar Network -- A Multi-Objective Inverse Reinforcement Learning ApproachOffline RL and imitation learning from data → Inverse reinforcement learning
- Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision DecodingDiffusion models → Medical imaging and segmentation
- Large Language Models Meet Harry Potter: A Bilingual Dataset for Aligning Dialogue Agents with CharactersLLM agents and tool use → Social simulation and multi-agent debate
- Out-of-Dynamics Imitation Learning from Multimodal DemonstrationsOffline RL and imitation learning from data → Imitation learning methods
- Predicting Companies' ESG Ratings from News Articles Using Multivariate Timeseries Analysis
- Review of medical data analysis based on spiking neural networks
- Sentence-Level Sign Language Recognition Framework
- Sign Language to Text Conversion in Real Time using Transfer Learning
- Learning Heterogeneous Agent Cooperation via Multiagent League Training
- TIER-A: Denoising Learning Framework for Information Extraction
- Conversion-Based Dynamic-Creative-Optimization in Native Advertising
- Tightening Robustness Verification of MaxPool-based Neural Networks via Minimizing the Over-Approximation Zone
- Normative Modeling via Conditional Variational Autoencoder and Adversarial Learning to Identify Brain Dysfunction in Alzheimer's Disease
- Demystify Self-Attention in Vision Transformers from a Semantic Perspective: Analysis and Application
- GC-GRU-N for Traffic Prediction using Loop Detector Data
- VGFlow: Visibility guided Flow Network for Human Reposing
- Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview
- Build generally reusable agent-environment interaction models
- Secure and Privacy-Preserving Automated Machine Learning Operations into End-to-End Integrated IoT-Edge-Artificial Intelligence-Blockchain Monitoring System for Diabetes Mellitus Prediction
- HigeNet: A Highly Efficient Modeling for Long Sequence Time Series Prediction in AIOps
- Language Model Classifier Aligns Better with Physician Word Sensitivity than XGBoost on Readmission Prediction
- SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation
- World Knowledge in Multiple Choice Reading Comprehension
- Similarity-based Feature Extraction for Large-scale Sparse Traffic Forecasting
- Learning Visualization Policies of Augmented Reality for Human-Robot Collaboration
- Using Hand Pose Estimation To Automate Open Surgery Training Feedback
- Quantifying syntax similarity with a polynomial representation of dependency trees
- Advancing Learned Video Compression with In-loop Frame Prediction
- Online Correlation Clustering for Dynamic Complete Signed Graphs
- GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost
- BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance
- FullPack: Full Vector Utilization for Sub-Byte Quantized Inference on General Purpose CPUs
- Ground Truth Inference for Weakly Supervised Entity Matching
- Experimental study of Neural ODE training with adaptive solver for dynamical systems modeling
- Learning Stable Graph Neural Networks via Spectral Regularization
- A Scalable Graph Neural Network Decoder for Short Block Codes
- mOKB6: A Multilingual Open Knowledge Base Completion Benchmark
- Elliptically-Contoured Tensor-variate Distributions with Application to Improved Image Learning
- TorchOpt: An Efficient Library for Differentiable Optimization
- PaintNet: Unstructured Multi-Path Learning from 3D Point Clouds for Robotic Spray Painting
- Goal-Conditioned Reinforcement Learning in the Presence of an Adversary
- Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest X-Rays using Transfer Learning and Fusion Strategies
- Towards Privacy-Aware Causal Structure Learning in Federated Setting
- Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing
- Discovering Long-period Exoplanets using Deep Learning with Citizen Science Labels
- Batch-based Model Registration for Fast 3D Sherd Reconstruction
- Learning from partially labeled data for multi-organ and tumor segmentation
- OverFlow: Putting flows on top of neural transducers for better TTS
- Residual Degradation Learning Unfolding Framework with Mixing Priors across Spectral and Spatial for Compressive Spectral Imaging
- Multi-Agent Deep Reinforcement Learning for Efficient Passenger Delivery in Urban Air Mobility
- SCOTCH and SODA: A Transformer Video Shadow Detection Framework
- Generalizing distribution of partial rewards for multi-armed bandits with temporally-partitioned rewards
- Evaluating CNN with Oscillatory Activation Function
- Xu at SemEval-2022 Task 4: Pre-BERT Neural Network Methods vs Post-BERT RoBERTa Approach for Patronizing and Condescending Language Detection
- Detecting Disengagement in Virtual Learning as an Anomaly using Temporal Convolutional Network Autoencoder
- Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation
- WR-ONE2SET: Towards Well-Calibrated Keyphrase Generation
- An Adaptive and Stability-Promoting Layerwise Training Approach for Sparse Deep Neural Network Architecture
- Conversational Pattern Mining using Motif Detection
- Generalization Beyond Feature Alignment: Concept Activation-Guided Contrastive Learning
- Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning
- FPT: Improving Prompt Tuning Efficiency via Progressive Training
- Scale-Aware Crowd Counting Using a Joint Likelihood Density Map and Synthetic Fusion Pyramid Network
- Methods for Recovering Conditional Independence Graphs: A Survey
- Enhancing Few-shot Image Classification with Cosine Transformer
- Deep Learning-enabled Virtual Histological Staining of Biological Samples
- Energy-Based Residual Latent Transport for Unsupervised Point Cloud Completion
- Long-Range Zero-Shot Generative Deep Network Quantization
- Pit-Pattern Classification of Colorectal Cancer Polyps Using a Hyper Sensitive Vision-Based Tactile Sensor and Dilated Residual Networks
- FedRule: Federated Rule Recommendation System with Graph Neural Networks
- Instance-based Learning for Knowledge Base Completion
- CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification
- Perceptual Video Coding for Machines via Satisfied Machine Ratio Modeling
- Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams
- Drug-target affinity prediction method based on consistent expression of heterogeneous data
- Adversarial and Random Transformations for Robust Domain Adaptation and Generalization
- Reduced order modeling of parametrized systems through autoencoders and SINDy approach: continuation of periodic solutions
- EdnaML: A Declarative API and Framework for Reproducible Deep Learning
- Differentially Private Vertical Federated Learning
- Inv-SENnet: Invariant Self Expression Network for clustering under biased data
- Textual Data Augmentation for Patient Outcomes Prediction
- Large-Scale Bidirectional Training for Zero-Shot Image Captioning
- FinTech for Social Good: A Research Agenda from NLP Perspective