Papers
Sat 17 Dec 2022
68 papers
- 3D Point Cloud Pre-training with Knowledge Distillation from 2D ImagesKnowledge distillation → Detection and dense prediction distillation
- DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic ModelsDiffusion models → 3D, point cloud and scene generation
- Cognitive Level-k Meta-Learning for Safe and Pedestrian-Aware Autonomous DrivingEnd-to-end autonomous driving → Cooperative and V2X driving
- Conditional Predictive Behavior Planning with Inverse Reinforcement Learning for Human-like Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- Comparison of machine learning algorithms for merging gridded satellite and earth-observed precipitation data
- Reservoir Computing Using Complex Systems
- Balanced Split: A new train-test data splitting strategy for imbalanced datasets
- Fully and Weakly Supervised Referring Expression Segmentation with End-to-End Learning
- Clinical Deterioration Prediction in Brazilian Hospitals Based on Artificial Neural Networks and Tree Decision Models
- Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning
- A Brief Survey on Person Recognition at a Distance
- Foundation models in brief: A historical, socio-technical focus
- Graph Learning and Its Advancements on Large Language Models: A Holistic Survey
- Physics-informed Neural Networks with Periodic Activation Functions for Solute Transport in Heterogeneous Porous Media
- Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning
- Two-sample test based on Self-Organizing Maps
- Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design
- Cascaded Compositional Residual Learning for Complex Interactive Behaviors
- Beyond the C: Retargetable Decompilation using Neural Machine Translation
- Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off
- Towards leveraging latent knowledge and Dialogue context for real-world conversational question answering
- Toward Data Heterogeneity of Federated Learning
- On Noisy Evaluation in Federated Hyperparameter Tuning
- Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random Field
- A Simple Baseline for Beam Search Reranking
- Convergence Analysis for Training Stochastic Neural Networks via Stochastic Gradient Descent
- Analyzing the Traffic of MANETs using Graph Neural Networks
- Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark
- Claim Optimization in Computational Argumentation
- AdaTranS: Adapting with Boundary-based Shrinking for End-to-End Speech Translation
- Controlling Styles in Neural Machine Translation with Activation Prompt
- Hyperbolic Hierarchical Contrastive Hashing
- Know What I don't Know: Handling Ambiguous and Unanswerable Questions for Text-to-SQL
- PolQA: Polish Question Answering Dataset
- Human Image Generation: A Comprehensive Survey
- Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud Analysis
- TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective
- Exploiting Rich Textual User-Product Context for Improving Sentiment Analysis
- Modeling Global Distribution for Federated Learning with Label Distribution Skew
- 'If you build they will come': Automatic Identification of News-Stakeholders to detect Party Preference in News Coverage
- Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning
- iCub! Do you recognize what I am doing?: multimodal human action recognition on multisensory-enabled iCub robot
- HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation
- Unrolling SVT to obtain computationally efficient SVT for n-qubit quantum state tomography
- Painterly Image Harmonization in Dual Domains
- AugTriever: Unsupervised Dense Retrieval and Domain Adaptation by Scalable Data Augmentation
- Towards Robust Handwritten Text Recognition with On-the-fly User Participation
- Inductive Attention for Video Action Anticipation
- Molecule optimization via multi-objective evolutionary in implicit chemical space
- Better Datastore, Better Translation: Generating Datastores from Pre-Trained Models for Nearest Neural Machine Translation
- Context-dependent Explainability and Contestability for Trustworthy Medical Artificial Intelligence: Misclassification Identification of Morbidity Recognition Models in Preterm Infants
- Latent Evolution Model for Change Point Detection in Time-varying Networks
- Accurate Open-set Recognition for Memory Workload
- Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy
- FSCNN: A Fast Sparse Convolution Neural Network Inference System
- Shape Aware Automatic Region-of-Interest Subdivisions
- Relational Sentence Embedding for Flexible Semantic Matching
- Comparison of Model-Free and Model-Based Learning-Informed Planning for PointGoal Navigation
- Leveraging Wastewater Monitoring for COVID-19 Forecasting in the US: a Deep Learning study
- Two-Scale Gradient Descent Ascent Dynamics Finds Mixed Nash Equilibria of Continuous Games: A Mean-Field Perspective
- Importance of Synthesizing High-quality Data for Text-to-SQL Parsing
- Multi-Scale Relational Graph Convolutional Network for Multiple Instance Learning in Histopathology Images
- Improving Cross-task Generalization of Unified Table-to-text Models with Compositional Task Configurations
- RISE: Leveraging Retrieval Techniques for Summarization Evaluation
- Annotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation
- Assign Experiment Variants at Scale in Online Controlled Experiments
- Improving Levenberg-Marquardt Algorithm for Neural Networks
- Latent Variable Representation for Reinforcement Learning