Papers
Fri 17 Sep 2021
153 papers
- Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive Deep Reinforcement LearningEnd-to-end autonomous driving → Reinforcement learning for driving
- Distilling Linguistic Context for Language Model CompressionKnowledge distillation → Knowledge distillation for LLMs
- Dropout's Dream Land: Generalization from Learned Simulators to RealityWorld models → Latent dynamics models and model-based RL
- Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of SimulationOffline RL and imitation learning from data → Decision transformers and sequence modeling
- ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- Hard to Forget: Poisoning Attacks on Certified Machine UnlearningLLM safety and security → Machine unlearning
- Self-training with Few-shot Rationalization: Teacher Explanations Aid Student in Few-shot NLUSynthetic data and self-improvement for LLMs → Self-training for few-shot NLP
- Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text Classification
- Biomedical text summarization using Conditional Generative Adversarial Network(CGAN)
- PP-LCNet: A Lightweight CPU Convolutional Neural Network
- Visual resemblance and communicative context constrain the emergence of graphical conventions
- An Algorithm for Generating Gap-Fill Multiple Choice Questions of an Expert System
- RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans
- Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection
- Landmark Policy Optimization for Object Navigation Task
- Deep Reinforcement Learning Based Multidimensional Resource Management for Energy Harvesting Cognitive NOMA Communications
- DeepPhysics: a physics aware deep learning framework for real-time simulation
- On the Convergence of Tsetlin Machines for the AND and the OR Operators
- A Deep-Learning Based Optimization Approach to Address Stop-Skipping Strategy in Urban Rail Transit Lines
- Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy
- Capacitance Resistance Model and Recurrent Neural Network for Well Connectivity Estimation : A Comparison Study
- Exploring the Training Robustness of Distributional Reinforcement Learning against Noisy State Observations
- Locally Weighted Mean Phase Angle (LWMPA) Based Tone Mapping Quality Index (TMQI-3)
- WiSoSuper: Benchmarking Super-Resolution Methods on Wind and Solar Data
- Solving infinite-horizon Dec-POMDPs using Finite State Controllers within JESP
- Semi-Supervised Few-Shot Intent Classification and Slot Filling
- Auto White-Balance Correction for Mixed-Illuminant Scenes
- Dual-Encoder Architecture with Encoder Selection for Joint Close-Talk and Far-Talk Speech Recognition
- Analyzing the Habitable Zones of Circumbinary Planets Using Machine Learning
- Unsupervised View-Invariant Human Posture Representation
- ChipQA: No-Reference Video Quality Prediction via Space-Time Chips
- The JHU-Microsoft Submission for WMT21 Quality Estimation Shared Task
- Efficient Variational Graph Autoencoders for Unsupervised Cross-domain Prerequisite Chains
- Proteome-informed machine learning studies of cocaine addiction
- The Optimization of the Constant Flow Parallel Micropump Using RBF Neural Network
- Back-translation for Large-Scale Multilingual Machine Translation
- Experimental Evaluation of Computational Complexity for Different Neural Network Equalizers in Optical Communications
- On-device neural speech synthesis
- Relating Neural Text Degeneration to Exposure Bias
- When a Computer Cracks a Joke: Automated Generation of Humorous Headlines
- Segmentation of Brain MRI using an Altruistic Harris Hawks' Optimization algorithm
- Self-supervised learning methods and applications in medical imaging analysis: A survey
- Asymmetric 3D Context Fusion for Universal Lesion Detection
- RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering
- Realistic PointGoal Navigation via Auxiliary Losses and Information Bottleneck
- Discriminative Similarity for Data Clustering
- Primer: Searching for Efficient Transformers for Language Modeling
- Learning Sparse Graph with Minimax Concave Penalty under Gaussian Markov Random Fields
- Aggregate Semantics for Propositional Answer Set Programs
- Towards Handling Unconstrained User Preferences in Dialogue
- Allocating Indivisible Goods to Strategic Agents: Pure Nash Equilibria and Fairness
- POAR: Efficient Policy Optimization via Online Abstract State Representation Learning
- Grounding Natural Language Instructions: Can Large Language Models Capture Spatial Information?
- Graph Learning for Cognitive Digital Twins in Manufacturing Systems
- A Fairness Analysis on Private Aggregation of Teacher Ensembles
- Autonomous Vision-based UAV Landing with Collision Avoidance using Deep Learning
- Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications
- Data-Driven Off-Policy Estimator Selection: An Application in User Marketing on An Online Content Delivery Service
- A review and experimental evaluation of deep learning methods for MRI reconstruction
- CKMorph: A Comprehensive Morphological Analyzer for Central Kurdish
- Adversarial Scrubbing of Demographic Information for Text Classification
- Active Learning for the Optimal Design of Multinomial Classification in Physics
- The futility of STILTs for the classification of lexical borrowings in Spanish
- Enforcing fairness in private federated learning via the modified method of differential multipliers
- Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration
- Boosting Transformers for Job Expression Extraction and Classification in a Low-Resource Setting
- Diverse Generation from a Single Video Made Possible
- Does Commonsense help in detecting Sarcasm?
- Hierarchy-Aware T5 with Path-Adaptive Mask Mechanism for Hierarchical Text Classification
- Non asymptotic estimation lower bounds for LTI state space models with Cram'er-Rao and van Trees
- Self-Supervised Neural Architecture Search for Imbalanced Datasets
- Mitigating Data Scarceness through Data Synthesis, Augmentation and Curriculum for Abstractive Summarization
- Exploring Multitask Learning for Low-Resource AbstractiveSummarization
- Slot Filling for Biomedical Information Extraction
- Context-aware Retail Product Recommendation with Regularized Gradient Boosting
- Pointly-supervised 3D Scene Parsing with Viewpoint Bottleneck
- Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach
- Load Balancing in Compute Clusters with Delayed Feedback
- Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules
- Decentralized Global Connectivity Maintenance for Multi-Robot Navigation: A Reinforcement Learning Approach
- Simple Entity-Centric Questions Challenge Dense Retrievers
- An open GPS trajectory dataset and benchmark for travel mode detection
- Knowledge is reward: Learning optimal exploration by predictive reward cashing
- Soft Actor-Critic With Integer Actions
- SaCoFa: Semantics-aware Control-flow Anonymization for Process Mining
- Micro-architectural Analysis of a Learned Index
- What we see and What we don't see: Imputing Occluded Crowd Structures from Robot Sensing
- Integrating Deep Reinforcement and Supervised Learning to Expedite Indoor Mapping
- CardiSort: a convolutional neural network for cross vendor automated sorting of cardiac MR images
- Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation
- Including Keyword Position in Image-based Models for Act Segmentation of Historical Registers
- GoG: Relation-aware Graph-over-Graph Network for Visual Dialog
- ActionCLIP: A New Paradigm for Video Action Recognition
- Online Learning of Network Bottlenecks via Minimax Paths
- LOF: Structure-Aware Line Tracking based on Optical Flow
- Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects
- Neural Unification for Logic Reasoning over Natural Language
- General Cross-Architecture Distillation of Pretrained Language Models into Matrix Embeddings
- TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models
- Generalized Talagrand Inequality for Sinkhorn Distance using Entropy Power Inequality
All 153
- Repurposing of Resources: from Everyday Problem Solving through to Crisis Management
- Transformer-Unet: Raw Image Processing with Unet
- A Role-Selected Sharing Network for Joint Machine-Human Chatting Handoff and Service Satisfaction Analysis
- Cross Modification Attention Based Deliberation Model for Image Captioning
- Expression Snippet Transformer for Robust Video-based Facial Expression Recognition
- Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers
- reproducing "ner and pos when nothing is capitalized"
- Coordinated Random Access for Industrial IoT With Correlated Traffic By Reinforcement-Learning
- Semantic Snapping for Guided Multi-View Visualization Design
- To be Closer: Learning to Link up Aspects with Opinions
- From Known to Unknown: Knowledge-guided Transformer for Time-Series Sales Forecasting in Alibaba
- PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering
- Audio-Visual Collaborative Representation Learning for Dynamic Saliency Prediction
- CodeQA: A Question Answering Dataset for Source Code Comprehension
- GraFormer: Graph Convolution Transformer for 3D Pose Estimation
- Moving Up the Cluster Tree with the Gradient Flow
- An Interpretable Framework for Drug-Target Interaction with Gated Cross Attention
- Dynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic Data Imputation with Complex Missing Patterns
- Accurate, Interpretable, and Fast Animation: An Iterative, Sparse, and Nonconvex Approach
- Task-adaptive Pre-training of Language Models with Word Embedding Regularization
- Comfetch: Federated Learning of Large Networks on Constrained Clients via Sketching
- Learning Enhanced Optimisation for Routing Problems
- Achieving Model Fairness in Vertical Federated Learning
- LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition
- A Multimodal Sentiment Dataset for Video Recommendation
- Mass Segmentation in Automated 3-D Breast Ultrasound Using Dual-Path U-net
- Decision Tree Learning with Spatial Modal Logics
- Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data
- SentiPrompt: Sentiment Knowledge Enhanced Prompt-Tuning for Aspect-Based Sentiment Analysis
- Formalisation of Action with Durations in Answer Set Programming
- Product Configuration in Answer Set Programming
- Comprehensive Multi-Agent Epistemic Planning
- Flexible and Explainable Solutions for Multi-Agent Path Finding Problems
- Generating Concurrent Programs From Sequential Data Structure Knowledge Using Answer Set Programming
- DiscASP: A Graph-based ASP System for Finding Relevant Consistent Concepts with Applications to Conversational Socialbots
- A Logic-based Multi-agent System for Ethical Monitoring and Evaluation of Dialogues
- Modeling and Solving Graph Synthesis Problems Using SAT-Encoded Reachability Constraints in Picat
- exp(ASPc) : Explaining ASP Programs with Choice Atoms and Constraint Rules
- Natlog: a Lightweight Logic Programming Language with a Neuro-symbolic Touch
- Generating Explainable Rule Sets from Tree-Ensemble Learning Methods by Answer Set Programming
- Refining the Semantics of Epistemic Specifications
- Weighted Conditional EL{^}bot Knowledge Bases with Integer Weights: an ASP Approach
- Fixpoint Semantics for Recursive SHACL
- How to Split a Logic Program
- Syntactic Requirements for Well-defined Hybrid Probabilistic Logic Programs
- AdaLoss: A computationally-efficient and provably convergent adaptive gradient method
- Quantitative and Stream Extensions of Answer Set Programming
- Automata Techniques for Temporal Answer Set Programming
- Multi-Level Visual Similarity Based Personalized Tourist Attraction Recommendation Using Geo-Tagged Photos
- Language Models as a Knowledge Source for Cognitive Agents
- CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research
- Neural Network Based Lidar Gesture Recognition for Realtime Robot Teleoperation
- Ethics Sheet for Automatic Emotion Recognition and Sentiment Analysis